An industrial automation system may include a first computing device that may receive operational technology (OT) data from industrial automation devices of an industrial automation system, determine identities of the industrial automation devices based on the OT data, determine that the OT data includes data attributes having variations as compared to additional OT data, transmit the identifiers and the data attributes to a second computing device in response to determining that the data attributions have the variations, receive containers including updated digital representations of the industrial automation devices from the second computing device, execute the containers to output additional data attributes, and send commands to the industrial automation devices to modify processes based the additional data attributes.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
2.
PRE-CONFIGURED TEMPLATES AND QUERIES FOR STORYBOARDS
A non-transitory, computer readable medium storing instructions that, when executed by a processor, cause the processor to receive, via a graphical user interface (GUI), a first input indicative of a request to generate a storyboard including one or more visualizations associated with operation of one or more industrial automation systems, wherein the request identifies first and second data from one or more data sources, retrieve the first and second data from the one or more data sources, generate a first dataset based on the first data retrieved from the one or more data sources, generate a second dataset based on the first data retrieved from the one or more data sources, and generate for display via the GUI, the storyboard based on the first dataset and the second dataset.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
G06F 3/0481 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
3.
System and Method for Achieving Position Detection Integrity in an Independent Cart System
A system and method for detecting integrity of a position for a mover in an independent cart system, includes receiving multiple first position feedback signals at a first processing core and receiving multiple second position feedback signals at a second processing core. Each of the first and second position feedback signals are generated by first and second position sensors, respectively, by detecting a magnet array mounted on the mover. A first value of the position of the mover is generated with the first processing core responsive to the first position feedback signals, and a second value of the position of the mover is generated with the second processing core responsive to the second position feedback signals. The first and second values of the position of the mover are compared with either the first or second processing core to verify operation of the first and second position sensors.
A non-transitory, computer readable medium storing instructions that, when executed by a processor, cause the processor to receive, via a graphical user interface (GUI), a first input indicative of a request to generate a storyboard including one or more visualizations associated with operation of one or more industrial automation systems, wherein the request identifies first and second data from one or more data sources, retrieve the first and second data from the one or more data sources, generate a first dataset based on the first data retrieved from the one or more data sources, generate a second dataset based on the first data retrieved from the one or more data sources, and generate for display via the GUI, the storyboard based on the first dataset and the second dataset.
G06F 3/0481 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
5.
PERFORMANCE-BASED SMART CONTRACTS IN INDUSTRIAL AUTOMATION
Performance-based smart contracts in industrial automation (e.g., using a computerized tool) are enabled. For example, a system can comprise: a memory that stores executable components; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a blockchain component that stores data representative of an output of an industrial automation device to an industrial blockchain, and an execution component that, in response to the output satisfying a smart contract stored on the industrial blockchain, facilitates execution of an element of the smart contract.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
Industrial automation blockchain data management (e.g., using a computerized tool) is enabled. For example, a system can comprise: a transfer component that, using a defined conversion algorithm, converts first data from a first industrial blockchain to second data applicable to a second industrial blockchain, other than the first industrial blockchain, a blockchain component that writes the second data to the second industrial blockchain, and a user interface component that renders an output indicative of the writing of the second data to the second industrial blockchain.
An industrial integrated development environment (IDE) supports collaborative tools that allow multiple designers and programmers to remotely submit design input to the same automation system project in parallel while maintaining project consistency. The industrial IDE also permits localized development of system projects, and provides an infrastructure for intelligently brokering between conflicting edits submitted to common portions of the system project. Project edits submitted to the IDE system, both applied and unapplied, are stored as edit records, allowing edits to be selectively undone or applied either manually or as part of a rollback to a milestone version.
G06F 8/71 - Version control ; Configuration management
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
Blockchain-enabled digital twins for industrial automation systems (e.g., using a computerized tool) are enabled. For example, a non-transitory computer-readable medium having stored thereon instructions that, in response to execution, cause an industrial device comprising a processor to perform operations, the operations comprising: determining an equivalency of the configuration of the industrial automation component based on a comparison of the first configuration fingerprint with a second configuration fingerprint of the configuration of the industrial automation component generated at a second time, subsequent to the first time, determining an equivalency of the configuration of the industrial automation component based on a comparison of the first configuration fingerprint with a second configuration fingerprint of the configuration of the industrial automation component generated at the second time, and generating an output indicative of the equivalency of the digital twin and the equivalency of the configuration.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
9.
INDUSTRIAL BLOCKCHAIN DIGITAL TWIN CHANGE MANAGEMENT
Industrial blockchain digital twin change management (e.g., using a computerized tool) is enabled. For example, a system can comprise: a memory that stores executable components, a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a blockchain component that stores a digital twin fingerprint for a digital twin of an industrial automation system to an immutable blockchain ledger and stores a configuration fingerprint representative of a configuration of the industrial automation system to the immutable blockchain ledger, wherein the digital twin fingerprint is associated with the configuration fingerprint, a change component that determines a change to the industrial automation system, and an update component that facilitates creation of an updated digital twin, representative of the change, and updates the digital twin fingerprint and the configuration fingerprint based on the change.
G06F 16/27 - Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
10.
COLLABORATIVE WORK ON TRANSLATIONS IN INDUSTRIAL SYSTEM PROJECTS
An industrial integrated development environment (IDE) supports collaborative editing of translation tables used to facilitate rendering of the system project text in different defined languages. Rather than merging edits by comparing text representations of the edited translation tables on a line-by-line basis, the system expresses the edited and base versions of the translation tables as information models that represent the translation table versions as hierarchical organizations of nodes representing content of the tables, and compares corresponding nodes of the information models to obtain differential statuses for the nodes. The various versions of the nodes are then merged into a single consistent model based on the differential statuses of the nodes.
Industrial blockchain enabled automation control (e.g., using a computerized tool) is enabled. For example, a system can comprise: a memory that stores executable components, a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a minting component that, based on a manufacturing criterion associated with a product being determined to be satisfied, mints a non-fungible token associated with the product, wherein the non-fungible token comprises authenticity data representative of a birth certificate for the product, and a blockchain component that registers the non-fungible token with a blockchain.
H04L 9/00 - Arrangements for secret or secure communications; Network security protocols
G06Q 20/06 - Private payment circuits, e.g. involving electronic currency used only among participants of a common payment scheme
G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check of credit lines or negative lists
An industrial integrated development environment (IDE) supports device profile development tools that allow new device profiles to be created easily using predefined reusable profile templates together with profile configuration files that define the backend IDE services and industrial device bindings for the profile. Using this development platform, a single device profile template can be used as the basis for multiple different device profiles, each customized using a text-based profile configuration file. This can reduce the time and effort required to create device profiles for new devices, and can also reduce the storage space required for the device profile library.
Industrial blockchain enabled automation control (e.g., using a computerized tool) is enabled. For example, a system can comprise: a memory that stores executable components, a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a contract component that determines whether a product generated using industrial automation equipment satisfies a defined condition of a smart contract, and an execution component that, in response to product being determined to satisfy the defined condition, executes a defined term of the smart contract.
H04L 9/00 - Arrangements for secret or secure communications; Network security protocols
G06Q 20/06 - Private payment circuits, e.g. involving electronic currency used only among participants of a common payment scheme
G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check of credit lines or negative lists
Industrial blockchain enabled automation control (e.g., using a computerized tool) is enabled. For example, a system can comprise: a memory that stores executable components, a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: an authorization component that determines, according to a defined authorization criterion, authorization of a request for a license for industrial automation software, and a license component that, in response to the determination by the authorization component that the request is authorized, mints a non-fungible token comprising the license for the industrial automation software.
Industrial security using blockchain or NFTs (e.g., using a computerized tool) is enabled. For example, an industrial system can comprise: a memory that stores executable components, and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising a minting component that mints a non-fungible token associated with a product generated using industrial automation equipment, wherein the non-fungible token comprises a first verification element, and a verification component that: verifies the product based on a comparison of a first aspect of the product to the first verification element, and generates an output representative of the comparison.
G06Q 20/06 - Private payment circuits, e.g. involving electronic currency used only among participants of a common payment scheme
G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check of credit lines or negative lists
G06Q 20/42 - Confirmation, e.g. check or permission by the legal debtor of payment
16.
AUTOMATION DEVICE FIRMWARE AS A SERVICE VIA A CONTAINER IMPLEMENTATION
An industrial automation device includes processing circuitry and a non-transitory computer-readable medium that includes instructions that, when executed by the processing circuitry of the industrial automation device, cause the processing circuitry to execute a software container and receive, at the software container, data from one or more industrial automation devices communicatively coupled to the industrial automation device. The instructions, when executed, also cause the processor to determine, using the software container, one or more control operations for the industrial automation device or the one or more industrial automation devices based on the data. Furthermore, the instructions, when executed, cause the processor to cause the industrial automation device to perform the one or more control operations or send the one or more control operations to the one or more industrial automation devices.
G05B 19/4155 - Numerical control (NC), i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by programme execution, i.e. part programme or machine function execution, e.g. selection of a programme
17.
CLOUD BASED ANALYTICS FOR OPERATOR SITUATION AWARENESS
Systems and methods for providing situation aware display generation. One system includes an electronic processor configured to receive, from at least one sensor, monitoring data associated with an industrial system. The electronic processor is also configured to determine, based on the monitoring data, a cognitive workload for an operator of the industrial system. The electronic processor is also configured to determine, based on the cognitive workload, a user interface configuration for the operator of the industrial system. The electronic processor is also configured to transmit the user interface configuration to the industrial system for display to the operator via a display device of the industrial system.
A non-transitory computer-readable medium stores instructions that, when executed by a processor, cause the processor to receive, via the processor, a characteristic of data to be collected from an operational technology (OT) device disposed within an OT network associated with an industrial automation system configured to perform an industrial automation process, determine, via the processor, that the characteristic exceeds a threshold value, and deploy, via the processor, in response to determining that the characteristic exceeds the threshold value, a container to a compute surface within the OT network that is disposed within a threshold distance of the OT device. The container is configured to receive the data from the OT device and process the received data.
A non-transitory computer readable medium stores instructions that cause a processor to receive an indication of an event associated with an industrial automation system, wherein the industrial automation system includes a plurality of devices configured to perform a plurality of operations within the industrial automation system, and wherein each of the plurality of devices includes a compute surface configured to perform one or more software tasks, determine a plurality of data processing tasks to perform based on the event, identify a portion of the plurality of devices to perform the plurality of data processing tasks based on the compute surface available for each of the plurality of devices, and deploy a container to each of the portion of the plurality of devices, wherein each container of each of the portion of the plurality of devices is configured to perform at least one of the plurality of data processing tasks.
G05B 19/4155 - Numerical control (NC), i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by programme execution, i.e. part programme or machine function execution, e.g. selection of a programme
20.
SYSTEMS AND METHODS MANAGING CONTAINERS IN AN OPERATIONAL TECHNOLOGY NETWORK
A computer readable medium stores instructions that cause a processor to receive an industry profile associated with an industrial automation system that includes a plurality of devices, each including a compute surface that performs software tasks. The instructions cause the processor to determine data processing tasks to perform based on the industry profile, identify a portion of the devices to perform the data processing tasks based on the compute surface available for each of the devices, deploy a container to each of the portion of the devices, wherein each container of each of the portion of the devices performs at least one of the data processing tasks, receive one or more properties associated with the container of each of the portion of the plurality of devices, and update a registry to indicate the one or more properties associated with the container of each of the portion of the devices.
G05B 19/4155 - Numerical control (NC), i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by programme execution, i.e. part programme or machine function execution, e.g. selection of a programme
A connector for receiving a ribbon cable is provided. The connector includes a housing including an open top and a guide wall including a track and a cable organizer configured to be positioned within an interior of the housing and the open top and to receive the ribbon cable along a surface thereof. The connector also includes a cover configured to selectively cover the open top of the housing to enclose the cable organizer within the interior of the housing. The cover includes a rib configured to slide along the track so that the cover moves relative to the housing along a linear trajectory.
H01R 13/506 - Bases; Cases composed of different pieces assembled by snap action of the parts
H01R 12/62 - Fixed connections for flexible printed circuits, flat or ribbon cables or like structures connecting to rigid printed circuits or like structures
An industrial integrated development environment (IDE) supports device profile development tools that allow new device profiles to be created easily using predefined reusable profile templates together with profile configuration files that define the backend IDE services and industrial device bindings for the profile. Using this development platform, a single device profile template can be used as the basis for multiple different device profiles, each customized using a text-based profile configuration file. This can reduce the time and effort required to create device profiles for new devices, and can also reduce the storage space required for the device profile library.
An industrial integrated development environment (IDE) can dynamically generate user interfaces for device profiles using predefined reusable profile templates together with data models of the devices for which the device profile interfaces are to be created. The device profile template defines features or components of profile interface views that are reusable across multiple different devices. The industrial IDE determines which interface features defined by the device profile template are required to support the device's data and supported features defined by the data model, and dynamically adapts the device profile template to yield a suitable device profile interface that can be used to view and edit the device's data and configuration parameter values.
A system may include temperature sensors configured to measure temperatures of devices within an industrial automation system. The devices may be disposed within enclosures separate from one or more spaces of an ambient space of the industrial automation system. The system may include thermal image sensors configured to acquire thermal imagery data associated with the ambient space. The system may include a processor configured to receive a first set of temperature data acquired by the temperature sensors over a period of time. The processor may further generate a second set of temperature data representative of one or more predicted temperatures associated with one or more additional spaces of the ambient space. The temperature model may represent expected temperatures of the one or more spaces with respect to the temperatures within the enclosures. The processor may generate a heat map visualization including one or more thermal indicators representative of the predicted temperatures.
An industrial automation device includes first processing circuitry configured to perform a first set of operations associated with controlling the industrial automation device or one or more industrial automation devices communicatively coupled to the industrial automation device. The industrial automation device includes input/output circuitry communicatively couplable to an electronic device having second processing circuitry that is configured to execute computer-readable instructions to execute a software container and receive, in the software container, data from the industrial automation device, the one or more industrial automation devices, or both. The second processing circuitry executes the computer-readable instructions to perform, using the software container, a second set of operations associated with controlling the industrial automation device or the one or more industrial automation devices. The second processing circuitry is also executes the computer-readable instructions to adjust an operation of the industrial automation device based on the second set of operations.
An industrial automation device includes processing circuitry and a non-transitory computer-readable medium having instructions that, when executed by the processing circuitry, cause the processing circuitry to execute a software container and receive, at the software container, a first set of data having raw data from one or more industrial automation devices communicatively coupled to the industrial automation device. When executed, the instructions also cause the processing circuitry to pre-process the first set of data using the software container to generate a second set of data and send the second set of data to a second industrial automation device communicatively coupled to the first industrial automation device.
An airflow health predictive maintenance system and method for a motor drive includes a differential pressure sensor that senses an air pressure differential between a sensing location within an enclosed cabinet space of the motor drive and a reference location. The system includes an electronic control system configured to select a setpoint that indicates that airflow through the cabinet space has reached a value associated with a need for air filter maintenance. The control system is further configured to obtain air pressure differential measurements periodically from the differential pressure sensor and generate an actual trend comprising a series of values, wherein each of the values of the actual trend is derived from one or more of the air pressure differential measurements. The control system is also configured to project the actual trend to derive a projected trend based upon the series of values of the actual trend and compare the projected trend to the setpoint to predict an end of life event that can be used to determine a time when air filter maintenance is predicted to be required, wherein the end of life event is based upon a predicted intersection of projected trend with the setpoint.
The present invention discloses a bus bar assembly having multiple bus bars, multiple insulating holders, and a housing. Each of the insulating holders is configured to be mounted to one of the bus bars. Each of the insulating holders includes multiple ribs positioned within an interior cavity of the corresponding insulating holder, and the ribs maintain a desired air gap between each insulating holder and the corresponding bus bar mounted in the insulating holder. The housing is configured to receive each of the bus bars and the corresponding insulating holder.
A system for distributed multi-axis motion control includes a controller having a memory configured to store a control program and a processor configured to execute the control program. A desired motion trajectory is determined for a multi-axis system having multiple axes, and an axis command is generated for each of the axes as a function of the desired motion trajectory. The system also includes multiple motors and multiple motor drives. Each of the motors corresponds to one axis for the multi-axis system, and each of the motor drives controls at least one of the motors responsive to receiving the axis command for the corresponding motor. Each of the motor drives also determines a motion state for a link driven by the motor as a function of the axis command and transmits at least a portion of the motion state to another motor drive controlling another axis.
A computer readable medium stores instructions that cause a processor to receive an indication of a request for analysis of a simulation model associated with an industrial automation system, wherein the industrial automation system includes a plurality of devices, wherein each of the plurality of devices includes a respective compute surface configured to perform one or more software tasks, identify a first device of the plurality of devices having sufficient resources to perform the analysis, and deploy a container to the first device. The container is configured to collect data from one or more sensors disposed in or around the industrial automation system, update the simulation model based on the collected data, and provide the updated simulation model for distribution to one or more other devices of the plurality devices.
Systems and methods for providing remote channel reset for input/output modules of industrial systems. One system includes a plurality of channel circuits for interfacing with industrial control equipment of an industrial system. The system also includes an electronic processor communicatively coupled to each channel circuit via a dedicated hardware communication channel. The electronic processor is configured to control a power state for at least one channel circuit included in the plurality of channel circuits.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
32.
INCOMPATIBILITY NOTIFICATION AND OPTIMAL COMPATIBLE SOLUTION
The present disclosure relates generally to systems and methods for providing sets of compatible firmware versions (e.g., cross-compatibility solution) for flashing (e.g., programming or re-programming) different devices of a network of devices (e.g., an industrial automation system) when using a flashing application. Providing the compatible firmware versions of such network of devices may facilitate flashing the devices with compatible firmware, based on a topology of the network of devices, to prevent functional errors in the network of devices. The present systems and methods may also be applicable to determining and providing cross-compatibility solution between different firmware, as well as software, used by different devices of a network of devices. That said, although embodiments described herein are with respect to providing sets of compatible firmware versions for firmware associated with devices of a network, it should be appreciated that similar systems and methods may provide sets of compatible software versions associated with various devices of a network.
G05B 19/4155 - Numerical control (NC), i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by programme execution, i.e. part programme or machine function execution, e.g. selection of a programme
G06F 8/71 - Version control ; Configuration management
33.
SYSTEMS AND METHODS FOR DYNAMICALLY UPDATING MACHINE-READABLE INDICIA FOR INDUSTRIAL AUTOMATION COMPONENTS
An industrial automation component includes an electronic display that displays machine-readable indicia. The machine readable-indicia may be scanned by an image sensor. The industrial automation component also includes a processor communicatively coupled to the electronic display. The processor receives data associated with the industrial automation component and generates a first machine-readable indicia based on the data. The first machine-readable indicia may be displayed via the electronic display. The processor also receives updated data associated with the industrial automation component and generates a second machine-readable indicia based on the updated data. The second machine-readable indicia may be displayed via the electronic display.
G05B 19/4155 - Numerical control (NC), i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by programme execution, i.e. part programme or machine function execution, e.g. selection of a programme
34.
SYSTEMS AND METHODS FOR COORDINATING HANDLE OPERATIONS WHILE OPERATING SOLID-STATE CIRCUIT BREAKERS
A system includes any number of solid-state circuit breakers that couple between a power supply and an electrical load. The system also includes a housing and the solid-state circuit breakers are disposed within the housing. The housing includes a door sensor that generates a first signal indicative of a position of a door of the housing. The housing also includes an indicator that generates a second signal indicative of a position of a handle of the housing. The system also includes a secondary device communicatively coupled to the solid-state circuit breakers, the door sensor, and the indicator. The secondary device receives the first signal and the second signal and generates an instruction to adjust an operating state of the solid-state circuit breakers based on the first signal and the second signal.
Embodiments of this present disclosure may include systems that perform operations including receiving a first symbol instance from an industrial automation device. The first template object instance may characterize a dataset accessible to the industrial automation device. Symbol object instances may inherit a categorization with respect to categories associated with the industrial automation device including an identity, a state, a runtime status, a maintenance status, sustainability information, or any combination thereof. The operations may include receiving a first input corresponding to the first symbol object instance. The first input may include an indication of a change to the original symbolic definition. The operations may include identifying a type of the industrial automation device based on the first symbol object instance and generating enhanced template data based on the type of the industrial automation device, the first input, and the first symbol object instance.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
36.
SYSTEMS AND METHODS FOR MONITORING AND ADJUSTING OPERATION OF A MOVER SYSTEM
A non-transitory computer-readable medium includes instructions that, when executed by processing circuitry, are configured to cause the processing circuitry to receive a first dataset associated with a mover system having a track and a plurality of mover assemblies independently movable along the track, identify a subset of the first dataset associated with a normal operating state of the mover system based on state data associated with the mover system, receive a second dataset associated with the mover system after receiving the first dataset and having a first set of differences from the subset of the first dataset, determine whether the second dataset is indicative of an anomaly state of the mover system based on a relationship between an anomaly signature dataset and the second dataset, and adjusting operation of the mover system in response to determining that the second dataset corresponds to the anomaly signature dataset.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
37.
Container registry and subscription service for industrial systems
A method may involve receiving, via at least one processor, a request from an industrial component operating in an industrial automation system, such that the request may include an indication of a software function. The method may then involve querying a container registry having a plurality of container images based on the software function, identifying at least one container image of the plurality of container images that corresponds to the software function, sending an indication of the at least one container image to the industrial component, and receiving a selection of the at least one container image from the industrial component. The method may also involve retrieving the at least one container image from the container registry and sending the at least one container image to the industrial component.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
An industrial system includes a load control assembly, an integrated absence of voltage tester (AVT), and an absence of voltage indicator. The load control assembly has a supply input, a load output, a disconnecting device, and a load controller coupled to the load output, with the disconnecting device coupled between the supply input and the load controller. The AVT is integrated into one of the disconnecting device and the load controller, and the AVT configured to detect an absence of an operating voltage of the load control assembly. The absence of voltage indicator is coupled to the AVT and configured to indicate the absence of an operating voltage of the load control assembly detected by the AVT.
H02H 7/20 - Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from norm for electronic equipment
Techniques for data transmission within an industrial automation system include modeling or simulating, in accordance with a model, a plurality of devices performing one or more operations in an industrial automation system, determining, for a first operation of the one or more operations and from a plurality of categories, a category for the first operation, sending a request to the industrial automation system for data associated with the first operation at a time, wherein the data and time are determined based on the category of the first operation, receiving, from the industrial automation system, the requested data, and modifying the model based on the received data.
G05B 19/4155 - Numerical control (NC), i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by programme execution, i.e. part programme or machine function execution, e.g. selection of a programme
40.
SYSTEM AND METHODS THAT FACILITATE ADD-ON FUNCTIONS WITH INDUSTRIAL DEVICES
Systems and methods for facilitating add-on functions for employment with an industrial device. One system includes an electronic processor configured to receive, via a user interface, a user input defining an add-on function. The electronic processor may be configured to compile an object file for the add-on function. The electronic processor may be configured to control access to the object file for executing the add-on function. The electronic processor may be configured to receive a request for the object file. The electronic processor may be configured to transmit the object file for executing the add-on function.
A system for selecting one of multiple paths in a linear drive system includes track segments having a first drive member and at least one mover having a second drive member for the linear drive system. Each mover includes a drive surface oriented toward the track segment when the at least one mover is driven along the track. Each mover also includes a first channel and a second channel extending along the drive surface. A switch track segment includes a first path and a second path along which the at least one mover may travel, at least one first pin positioned along the first path, and at least one second pin positioned along the second path. The first and second pins are extendable to engage the first and second channels of the at least one mover to direct the mover along either the first path or the second path, respectively.
B60L 15/00 - Methods, circuits or devices for controlling the propulsion of electrically-propelled vehicles, e.g. their traction-motor speed, to achieve a desired performance; Adaptation of control equipment on electrically-propelled vehicles for remote actuation from a stationary place, from alternative parts of the vehicle or from alternative vehicles of the same vehicle train
B65G 35/06 - Mechanical conveyors not otherwise provided for comprising a load-carrier moving along a path, e.g. a closed path, and adapted to be engaged by any one of a series of traction elements spaced along the path
42.
LIFECYCLE MANAGEMENT OF INDUSTRIAL AUTOMATION DEVICES
A method for managing device lifecycles within an industrial automation environment includes receiving a request for lifecycle management data including a scanning configuration, producing configuration data obtained by scanning industrial devices specified by the scanning configuration, receiving lifecycle management data including a lifecycle phase for the industrial devices, generating a graphical representation of the lifecycle phase of the industrial devices, determining an identity of a replacement device for a first industrial device of the industrial devices having a predetermined lifecycle phase, generating a graphical representation of replacement information including the identity of the replacement device, and managing migration to the replacement device by initiating replacement of the first industrial device with the replacement device.
G06Q 10/20 - Administration of product repair or maintenance
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
G06Q 10/0631 - Resource planning, allocation, distributing or scheduling for enterprises or organisations
G06Q 10/087 - Inventory or stock management, e.g. order filling, procurement or balancing against orders
An industrial integrated development environment (IDE) is designed to execute on a cloud-platform or a web-based platform. The IDE includes a library of device profiles that render graphical device configuration interfaces for reading and writing values of device parameters. To ensure correct binding of an instance of a device profile invoked on a client device and the corresponding physical device on the plant floor during runtime, the IDE system assigns a unique session identifier to each communication channel between a client-side profile instance and the corresponding physical device.
An industrial controller can perform multi-dimensional optimization locally using the controller's native hardware and processing. An optimization algorithm is encoded on the industrial controller in a language understandable and executable by the controller (e.g., IEC61131-3). The optimization algorithm is adapted for the scan-based processing performed by industrial controllers rather than sequential processing, thereby allowing the optimization algorithm to be executed by the industrial controller as part of the controller's control program execution. A control program development system allows a user to add and configure the optimization algorithm as an instruction within the controller's control program. The instruction's configurable parameters allow the user to submit constraints and cost functions for the algorithm. During runtime, the controller executes this optimization instruction in accordance with the optimization parameters submitted by the user during development, using values of specified data tags as inputs and outputs for the algorithm.
G05B 13/02 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
45.
DYNAMIC ROUTING AND EDGE ORCHESTRATION FOR INDUSTRIAL AUTOMATION DATA
A non-transitory computer-readable medium includes instructions that, when executed by processing circuitry, cause the processing circuitry to receive, from an edge device of an industrial automation system, data indicative of a type of one or more devices in the industrial automation system, one or more types of data generated by the one or more devices, one or more components included in the one or more devices, firmware of the one or more devices, or any combination thereof. When executed, the instructions also cause the processing circuitry to identify, based on the received data, either a firmware update for the industrial automation system or, from a container repository, a container that is implementable on the edge device. Additionally, when executed, the instructions cause the processing circuitry to cause a container image for the container or firmware update for the firmware to be sent to the edge device.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
46.
SYSTEM AND METHODS FOR MODELING CAPABILITIES WITHIN SYSTEM MODELS OF INDUSTRIAL SYSTEMS
Systems and methods for modeling capabilities within system models of industrial systems. One system includes an electronic processor configured to receive a request for a system model of an industrial system associated with a set of components. The electronic processor is also configured to access system data associated with the industrial system. The electronic processor is also configured to generate, based on at least the system data, a system model such that the system model includes a set of capabilities associated with the industrial system, wherein each capability included in the set of capabilities is associated with a function of the industrial system. The electronic processor is also configured to enable transmission of the system model for display.
An industrial topology discovery system autonomously discovers and documents industrial automation system topologies using orchestrated discovery agents of various types. The topology discovery system can reside on a cloud platform or another high level network and deploy discovery agents on plant networks and devices within an industrial facility. These discovery agents can implement different strategies for discovering system information, and can include agents configured to monitor and report on communication traffic across respective types of networks, agents configured to probe respective device types for identity and configuration information, and other types of agents. Discovery services executed by the topology discovery system can collect device and network information obtained by the agents and use this information to document the topology of the automation system as well as to orchestrate the discovery behavior of the agents to extract further information about the system based on defined discovery rules.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
48.
SYSTEM AND METHODS THAT FACILITATE ADD-ON FUNCTIONS FOR EMPLOYMENT WITHIN AN INDUSTRIAL DEVICE
Systems and methods for facilitating add-on functions for employment with an industrial device. One system includes an electronic processor configured to detect an add-on function call from a user program executing within the industrial device. The electronic processor is also configured to determine a function name of an add-on function associated with the add-on function call. The electronic processor is also configured to provide a set of operations for executing the add-on function, based at least in part on the function name of the add-on function.
A control design and testing system simplifies the execution of parallelized control testing simulators using emulation techniques. The system is capable of emulating large and complex industrial systems using a combination of selective model partitioning, space parallel simulation, and co-simulation. According to this approach, a digital model of the industrial automation system is partitioned into sub-models such that inter-model logical relationships between the sub-models comprise only logical relationships that can tolerate a temporal error equal to or less than a duration, or timestep, of a co-simulation cycle. The sub-models are deployed to separate processing spaces, and the system uses co-simulation to execute a parallel emulation of the sub-models.
A mover for an independent cart system includes a drive member for a linear drive system, a power source configured to supply electrical power to at least one device mounted on the mover, and a mounting plate secured to the mover. The mounting plate is configured to selectively receive one of multiple fixtures. The mounting plate includes at least one electrical connector configured to engage a complementary electrical connector on each of the fixtures, at least one connector configured to engage a complementary connector on each of the fixtures to positively retain each of the fixtures to the mounting plate, and a control circuit operative to either transfer at least one control signal to or receive at least one feedback signal from each of the fixtures.
B61G 5/10 - Couplings not otherwise provided for for, or combined with, couplings or connectors for fluid conduits or electric cables for electric cables
A method may include receiving, via at least one processor, a first set of data indicative of a fault being present and send a first signal to a breaker based on the first set of data. The first signal may cause the breaker to open a plurality of poles of the breaker. The method may then involve receiving a second set of data indicative of the fault being cleared and sending a second signal to the breaker based on the second set of data. The second signal may cause the breaker to close a first pole of the plurality of poles at a first time and close a second pole of the plurality of poles at a second time different from the first time.
H02H 3/26 - Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition, with or without subsequent reconnection responsive to phase angle between voltages or between currents
H02H 3/04 - Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition, with or without subsequent reconnection - Details with warning or supervision in addition to disconnection, e.g. for indicating that protective apparatus has functioned
52.
SYSTEMS AND METHODS FOR ENTERPRISE-LEVEL SECURITY POLICY MANAGEMENT TOOL
An enterprise-level security policy management tool receives, via a graphical user interface (GUI), inputs defining a security policy configured to be deployed within an enterprise that operates one or more operational technology (OT) networks, generates the security policy based on the inputs, and transmits the security policy to one or more computing devices running respective other instantiations of the enterprise-level security policy management tool, wherein the respective other instantiations of the enterprise-level security policy management tool are configured to facilitate enforcement of the security policy within the one or more OT networks operated by the enterprise.
A system for controlling movers in a linear drive system includes a plurality of movers and a track providing segments along which the movers may travel and holding driver coils and a segment controller controlling the driver coils. Some of the segments having switches forming branches between segments. A central controller communicates operates with the segment controllers to route the movers along the track by distributing routing decisions for a given mover to a segment controller for a track on which a given mover is currently traveling.
This disclosure describes a hybrid circuit breaker for an industrial automation system including a mechanical switch and solid-state switching circuit. The hybrid circuit breaker may receive control signals to open and close a current path based on moving a spanner of the mechanical switch. In some cases, moving the spanner of the mechanical switch may generate electrical arcs when the hybrid circuit breaker is conducting electrical current. In such cases, the hybrid circuit breaker may remove the electrical arcs based on operations of the solid-state switching circuit. The solid-state switching circuit may draw arc currents of the electrical arcs by providing a second current path between the spanner and a fixed conductor of the mechanical switch. Moreover, the solid-state switching circuit may open the second current path and absorb electrical power of the electrical arc by one or more solid-state switches, a parallel voltage suppressor, or both.
H02H 3/20 - Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition, with or without subsequent reconnection responsive to excess voltage
55.
SYSTEMS AND METHODS FOR VARIABLE PROCESSING OF STREAMED SENSOR DATA
A system may include sensor device comprising a sensor configured to measure sensor data indicating an operational parameter of industrial automation equipment associated with an industrial automation process. The system may also include communication circuitry configured to transmit the sensor data. Additionally, the system includes a processor configured to receive the sensor data. Further, the system includes a non-transitory computer-readable medium comprising computer-executable instructions that, when executed, are configured to cause the processor to perform operations including identifying an operational state of the industrial automation equipment based on the sensor data. The operations may also include determining a discrepancy between the sensor data and the operational state. Further, the operations may include modifying an operation of the processor from a first operational mode to a second operational mode of a plurality of operational based on the comparison.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
A non-transitory computer-readable medium includes computer-executable instructions that, when executed, cause one or more processors of a first electronic device to perform operations including sending a request for asset data associated with an asset and receiving a set of telemetry data, a set of operational data, a set of inventory data, and a set of customer data associated with the asset. In the embodiment, the method includes selecting an asset model from a set of asset models associated with the asset based on the set of telemetry data, the set of operational data, the set of inventory data, and the set of customer data, wherein each asset model of the set of asset models corresponds to a particular task performed by the asset and generating a mapping hierarchy based on the selected asset model, wherein the mapping hierarchy includes a representation of a plant layout associated with the asset.
An industrial topology discovery system autonomously discovers and documents industrial automation system topologies using orchestrated discovery agents of various types. The topology discovery system can reside on a cloud platform or another high level network and deploy discovery agents on plant networks and devices within an industrial facility. These discovery agents can implement different strategies for discovering system information, and can include agents configured to monitor and report on communication traffic across respective types of networks, agents configured to probe respective device types for identity and configuration information, and other types of agents. Discovery services executed by the topology discovery system can collect device and network information obtained by the agents and use this information to document the topology of the automation system as well as to orchestrate the discovery behavior of the agents to extract further information about the system based on defined discovery rules.
For updating a computer vision model, a method converts a user input drawing including a user annotation of a first image in a drawing format to a training format image in a training format for a computer vision model. The method generates a training-representation drawing from the training format image. The training-representation drawing includes an image inference for the first image. The method receives user feedback for the training-representation drawing in the drawing format. The method updates the computer vision model based on the user feedback. The method generates an image inference for a second image based on the updated computer vision model and generates model-health metrics, agreement-metrics, and a sortable image index to explain image inferences with respect to guided user annotation of the second image. The method caches partial results from the image-inferences to afford quicker updating of computer vision models, affording more iterative model-development than ad-hoc model-evaluation.
G06V 10/94 - Hardware or software architectures specially adapted for image or video understanding
G06V 10/774 - Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
G06V 10/22 - Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
A method includes receiving a first set of operational parameters that correspond to one or more semiconductor devices of a solid-state circuit breaker and sending a first command to the solid-state circuit breaker to turn off the one or more semiconductors in response to the first set of operational parameters exceeding a first set of thresholds. The method includes sending a second command to the solid-state circuit breaker to turn on the one or more semiconductors in response to the first set of operational parameters being equal to or less than the first set of thresholds. The method includes receiving a second set of operational parameters that correspond to one or more electrical properties associated with an operation of the solid-state circuit breaker coupled to a load device and generating a baseline profile representative of the first set of operational parameters and the second operational parameters.
H01H 71/12 - Automatic release mechanisms with or without manual release
H01H 83/20 - Protective switches, e.g. circuit-breaking switches, or protective relays operated by abnormal electrical conditions otherwise than solely by excess current operated by excess current as well as by some other abnormal electrical condition
60.
HYBRID CIRCUIT BREAKER SYSTEM WITH INTEGRATED GALVANIC ISOLATING SWITCH
This disclosure describes a hybrid circuit breaker for an industrial automation system. The hybrid circuit breaker may include a breaker switch and a solid-state switching circuit coupled in parallel. Moreover, the hybrid circuit breaker may include a disconnector switch coupled in series with the breaker switch. For example, the solid-state switching circuit may include a number of solid-state devices. A control system may provide control signals to the disconnector switch, the breaker switch, and the solid-state switching circuit to switch on and switch off the hybrid circuit breaker. The hybrid circuit breaker may enable or reduce (e.g., halt) electrical current flow based on receiving the control signals. Operation of the breaker circuit and the solid-state switching circuit that are coupled in parallel may provide reduced heat generation while providing safe switching of the hybrid circuit breaker. Moreover, operation of the disconnector switch may provide galvanic isolation.
An industrial integrated development environment (IDE) comprises a development interface that affords a user a great deal of control over the editing tools, workspace canvases, and project information rendered at a given time. The industrial IDE system automatically filters the tools, panels, and information available for selection based on a current project development task, such that a focused subset of editing tools relevant to a current development task or context are made available for selection while other tools are hidden. The development interface also allows the user to selectively render or hide selected tools or information from among the relevant, filtered set of tools. This can reduce or eliminate unnecessary clutter and aid in quickly and easily locating and selecting a desired editing function. The IDE's development interface can also conform to a structured organization of workspace canvases and panels that facilitates intuitive workflow.
G06F 3/0483 - Interaction with page-structured environments, e.g. book metaphor
G06F 3/04817 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance using icons
G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
Performing multi-layer network discovery of an operational technology (OT) network includes receiving a plurality of discovery data sets, each identifying a respective subset of a plurality of nodes within an OT network having a plurality of network layers, wherein the respective subset of the plurality of nodes for a first discovery data set are disposed within at least two network layers of the plurality of network layers, identifying a set of nodes within the OT network that appear in two or more of the plurality of discovery data sets, generating a holistic discovery data set for the OT network based on the plurality of discovery data sets and the identified set of nodes within the OT network that appear in the two or more of the plurality of discovery data sets, and generating a visualization of the plurality of nodes within the OT network based on the holistic discovery data set.
A method includes receiving, from an enterprise network, data associated with one or more industrial automation systems operated by an enterprise, wherein the data includes design artifacts of the one or more industrial automation systems, run time data collected from the one or more industrial automation systems, or both, inputting the data to a machine learning-based security policy development engine to generate a set of recommended security policies for the enterprise based on the data, receiving the set of recommended security policies for the one or more industrial automation systems output by the security policy development engine, wherein the set of recommended security policies define access, use, or both, of the one or more industrial automation systems operated by the enterprise; and transmitting the set of recommended security policies to the enterprise.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
Various embodiments of the present technology generally relate to industrial automation environments. More specifically, embodiments include systems and methods to detect malicious behavior in an industrial automation environment. In some examples, a security component monitors an integrated design application and generates feature vectors that represent operations of the integrated design application. The security component supplies the feature vectors to a machine learning engine. The security component processes a machine learning output that indicates when anomalous behavior is detected in the operations of the integrated design application. When anomalous behavior is detected in the operations of the integrated design application, the security component generates and transfers an alert that characterizes the anomalous behavior.
A method may include receiving an indication of an available updated container. The method may also involve identifying one or more compute surfaces comprising a first container and a second container that correspond to the available container, such that the first container may control one or more operations of an operational technology (OT) device. The method may also include scheduling a deployment of the updated container to replace the second container, receiving expected output data associated with a digital model associated with the OT device, and scheduling a switchover of control of the one or more operations to the second container based on the expected output data.
An industrial integrated development environment (IDE) allows project topologies to be defined using an industrial domain-specific language (DSL) script. DSL scripting language can be used to define a control system topology in terms of the devices that make up the control system as well as the data connections between those devices. The IDE system can translate resulting topology to a project tree that serves as the basis for a control system project.
G06Q 10/06 - Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
A centralized industrial catalog system aggregates product information from disparate sources and globally synchronizes updated catalog information to local versions of the product catalog at customer sites. The catalog system can execute as a service on a cloud platform accessible to end user applications or local catalogs. The catalog system serves as a scalable global authority for known product information for either a single product vendor or for multiple vendors. The industrial catalog system can ensure that local versions of product catalog content is synchronized with high-level sources.
A non-transitory computer-readable medium comprising computer-executable instructions that, when executed, cause a processor to perform operations including receiving a first dataset from a first automation component, the first dataset corresponds to raw data acquired by a first sensor; receiving a second dataset from a second automation component, the second dataset corresponds to raw data acquired by a second sensor; receiving data indicating an expected operation related to operations of an industrial automation system including the first and second automation components; determining a signature based on the first and second datasets and the data indicating the expected operation, wherein the signature indicates an unexpected operation as compared to the expected operation; performing a root cause analysis using the signature to determine a relationship indicating a first set of changes of the first dataset corresponding to a second set of changes in the data indicating the expected operation.
G05B 19/4155 - Numerical control (NC), i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by programme execution, i.e. part programme or machine function execution, e.g. selection of a programme
69.
EXTENSIBLE PROFILES FOR INDUSTRIAL CONTROLLER DEVICES
An industrial integrated development environment (IDE) allows add-on bus profiles and add-on controller profiles to be defined using an industrial domain-specific language (DSL) script. These add-on profiles can then be added to the IDE's device profile library for use in industrial control projects. This mitigates the need to write new source code to create these profiles and to release an updated version of the IDE software to make these profiles available for use. Industrial DSL scripting can also be used to define a physical and logical topology of an industrial control system within the IDE system as part of the control system project that will be deployed to the control system.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
70.
EXTENSIBLE PROFILES FOR INDUSTRIAL CONTROL MODULES
An industrial integrated development environment (IDE) is designed to execute on a cloud-platform or a web-based platform. The IDE includes a library of device profiles that render graphical device configuration interfaces for reading and writing values of device parameters. To allow device profiles that were designed to operate within the context of a local, non-web-based IDE system to be used within the web-based IDE without the need to rewrite the device profiles or their associated services, the IDE can include a device service adapter that instantiates web services that translate the device configuration interfaces to a suitable web-based format, such as hypertext markup language. In this way, device profiles become agnostic with regard to the type of IDE platform in which the profiles are used.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
Various embodiments of the present technology generally relate to industrial automation environments. More specifically, embodiments include systems and methods to detect malicious behavior in an industrial automation environment. In some examples, a security component generates feature vectors that represents inputs and outputs to a data pipeline and supplies the feature vectors to a machine learning engine. The security component processes a machine learning output that indicates when anomalous behavior is detected in the operations of the data pipeline. When anomalous behavior is detected in the operations of the data pipeline, the security component generates and transfers an alert that characterizes the anomalous behavior.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
72.
SYSTEMS AND METHODS FOR AUTOMATIC SECURITY ENFORCEMENT FOR INDUSTRIAL AUTOMATION DEVICES
A security device includes one or more processors and a memory that includes instructions, that when executed by the processors, cause the processors to perform operations. The operations include monitoring data traffic between industrial automation devices in an industrial system and one or more devices in an external network, determining that a first industrial automation device does not include native security features for receiving secure data from the devices in the external network or transmitting secure data to the devices in the external network, and implementing one or more security techniques in response to determining that the first industrial automation device does not include the native security features.
G05B 19/05 - Programmable logic controllers, e.g. simulating logic interconnections of signals according to ladder diagrams or function charts
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
A cloud computing system receives data associated with a component of an industrial automation system, wherein the data identifies a supplier of the component, and a location of the component within the industrial automation system, updates a registry for the industrial automation system based on the received data, generates a mapping between the industrial automation system and the component of the industrial automation system, wherein the mapping is indicative of the supplier, the location, or both, models the component performing one or more operations in the industrial automation system based on the received data, the registry, and the mapping, determines a recommended action for the industrial automation system based on the model, the received data, the registry, and the mapping, and transmits the recommended action to a computing device.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
74.
PROGRAMMABLE LOGIC CONTROLLER (PLC) SECURITY MODEL
Various embodiments of the present technology generally relate to industrial automation environments. More specifically, embodiments include systems and methods to detect malicious behavior in an industrial automation environment. In some examples, a security component generates feature vectors that represent operations of a Programmable Logic Controller (PLC) and supplies the feature vectors to a machine learning engine. The security component processes a machine learning output that indicates when anomalous behavior is detected in the operations of the PLC. When anomalous behavior is detected in the operations of the PLC, the security component generates and transfers an alert that characterizes the anomalous behavior.
A non-transitory, computer-readable medium includes computer-executable instructions that, when executed, by one or more processors associated with a first input/output (I/O) component in an industrial automation system, cause the processors to perform operations. The first I/O component may operate in a single duplex (“suplex”) mode of operation. The operations include detecting a second I/O component in the industrial automation system, determining that a first hardware configuration, a first software configuration, or both, associated with the first I/O component is compatible with a second hardware configuration, a second software configuration, or both, associated with the second I/O component, and reconfiguring the first I/O component to operate in a duplex mode of operation.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
76.
System and Method for Electromagnetic Pinning and Hybrid Control of a Linear Drive System
A system and method for holding position of a mover in an independent cart system includes receiving a current feedback signal corresponding to a current present in at least one coil for a linear drive system in the independent cart system. A motion command for the mover is received, where the motion command defines a desired position along a track of the independent cart system to which the mover is to travel. An electromagnetic pinning control mode is disabled while controlling operation of the at least one mover to the desired position and enabled when the at least one mover is at the desired position.
Embodiments of this present disclosure include an industrial automation system, including an operational technology (OT) industrial automation device. The OT industrial automation device may perform an operation for the industrial automation system. Further, the OT industrial automation device may receive data comprising instructions related to the operation. Embodiments also include a monitoring device to receive the data; identify the OT industrial automation device based on the data; retrieve one or more rules for providing communications to the OT industrial automation device in response to identifying the OT industrial automation device; and selectively forward the data to the OT industrial automation device based on the one or more rules.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
78.
ELECTRONIC DELAY WITH STABILIZED OUTPUT VOLTAGE AND OVER CURRENT/SHORT CIRCUIT PROTECTION
A system includes a circuit breaker and a delay circuit. The circuit breaker has a coil to enable control of a contact to selectively couple a load to a power source responsive to a coil voltage signal applied to the coil. The delay circuit has a depletion mode MOSFET and an energy storage circuit. The depletion mode MOSFET is controlled as an active current sink to provide the coil voltage signal based on a DC voltage signal. The energy storage circuit has an input coupled to a drain of the depletion mode MOSFET, a capacitor, and an output coupled to the drain of the depletion mode MOSFET, the energy storage circuit charges the capacitor from the DC voltage signal and delivers current to the depletion mode MOSFET to delay discontinuation of the coil voltage signal responsive to a drop or discontinuation of the DC voltage signal.
H02H 7/125 - Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from norm for rectifiers for static converters or rectifiers for rectifiers
H02M 7/217 - Conversion of ac power input into dc power output without possibility of reversal by static converters using discharge tubes with control electrode or semiconductor devices with control electrode using devices of a triode or transistor type requiring continuous application of a control signal using semiconductor devices only
H02M 1/32 - Means for protecting converters other than by automatic disconnection
H02P 27/06 - Arrangements or methods for the control of AC motors characterised by the kind of supply voltage using variable-frequency supply voltage, e.g. inverter or converter supply voltage using dc to ac converters or inverters
79.
MOTOR DRIVE WITH DUAL-ROLE USB PORT AND METHODS THEREOF
A motor drive configured to be connected to an external device is provided. The motor drive includes an outer housing, a power module housed within the outer housing, and a control module housed within the outer housing and in communication with the power module. The motor drive also includes a communications port disposed on the outer housing and in communication with the control module. The communications port supports dual-role power in which the motor drive powers the external device when the external device is of a first type and the motor drive receives power from the external device when the external device is of a second type.
An industrial integrated development environment (IDE) supports the use of graphical device profiles to configure device parameters as part of an industrial control project. To allow an edit to first device represented by a first device profile to be applied easily to other device profiles, the industrial IDE system can record a user's interactions with the first device profile during a session of editing the device's parameters. These interactions are recorded as a sequence of cursor movements, mouse-click selections, keystrokes, and other such interactions. The user interactions are stored as a reusable interaction record which can be selectively applied to other device profiles to recreate or replay the user interactions on those other profiles.
G05B 19/4155 - Numerical control (NC), i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by programme execution, i.e. part programme or machine function execution, e.g. selection of a programme
81.
SYSTEM AND METHOD FOR DEVICE PROFILE CREATION IN AN INTEGRATED DEVELOPMENT ENVIRONMENT
An industrial integrated development environment (IDE) is extended to support creation of device profiles using an intuitive graphical development environment. The environment comprises a device profile development interface that allows a user to select device profile views to be included in a device profile for an industrial device, and to submit edits to the underlying code for the selected device profile views. The system can then generate a new device profile from the modified device profile code. The device profile can be registered with the industrial IDE and used to view and edit device parameters of a corresponding industrial device. The device profile development environment also supports dynamic validation of profile view edits, rendering of graphical previews of the modified device profile view, and submission of both code-based and graphical profile view edits.
An industrial information hub (IDH) serves as a single industrial ecosystem platform where multiple participants can deliver repeatable and standardized services relevant to their core competencies. The IIH system is centered around the development of an ecosystem that creates and delivers value to users—including industrial enterprises, OEMs, system integrators, vendors, etc.—through the aggregation of digital content and domain expertise. The IIH system serves as a trusted information broker between the ecosystem and the OT environments of plant facilities, and provides a platform for connecting assets, contextualizing asset data and providing secure access to the ecosystem. Additionally, the IIH system provides tools and support to OEMs and other subject matter experts, allowing those experts to enable their digital assets for use in the ecosystem. The IIH system reduces the cost and risks for digital transformation of industrial assets.
G05B 19/4155 - Numerical control (NC), i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by programme execution, i.e. part programme or machine function execution, e.g. selection of a programme
Various embodiments of the present technology generally relate to industrial automation environments. More specifically, embodiments include systems and methods to train machine learning systems based on user operations in an industrial automation environment. In some examples, a Human Machine Interface (HMI) component displays a machine learning output indicating a training state of a machine learning model on a user interface and user feedback regarding the training state. A machine learning interface component weights feature vectors based on the user feedback and supplies the weighted feature vectors to the machine learning model. The machine learning interface component receives another machine learning output that indicates an updated training state for the model. The HMI component displays the output indicating the updated training state of the model, receives additional user feedback regarding the updating training state, and transfers the additional user feedback to the machine learning interface component.
Various embodiments of the present technology generally relate to industrial automation environments. More specifically, embodiments include systems and methods to surface machine learning systems in a design application of an industrial automation environment. In some examples, a design component generates a control program configured for implementation by a Programmable Logic Controller (PLC). The design component receives a user input that selects a program tag that represents a target variable in an industrial automation process. In response to the user selection, the design component identifies one or more machine learning models associated with the target variable and displays the one or more machine learning models. The design component receives a user input that selects one of the one or more machine learning models and responsively integrates another program tag that represents the selected machine learning model into the control program.
G05B 13/02 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
85.
SYSTEMS AND METHODS FOR AUTOMATICALLY DEPLOYING SECURITY UPDATES IN AN OPERATIONS TECHNOLOGY NETWORK
A system includes a first computing node of a cluster of computing nodes that are part of a container orchestration system, a control system for controlling one or more operations of an operation technology (OT) component, and a second node of the cluster of computing nodes. The control system is communicatively coupled to the first computing node and the OT component. The second computing node may transmit a pod to the first computing node. The pod may cause the first computing node to perform operations that include deploying a container as a digital representation of the OT component, testing a security update on the digital representation, determining that the security update is ready for implementation in the OT component, and transmitting an indication that the security update is available for implementation to the OT component after determining that the security update is ready for implementation.
A digital technology transfer system transforms technology transfer documents to a set of digitized manufacturing procedures and operations documentation. The system can transform a technology transfer document to a hierarchical structured model representing a package, or product to be manufactured, and the process for manufacturing the product. The resulting package model can be integrated into a larger model representing an ecosystem of manufacturing entities and plant facilities by assigning steps of the manufacturing process to one or more selected production lines. The system allows participants in the ecosystem to browse the hierarchical model to view information about the manufacturing entities, their plant facilities, and the packages assigned to the respective facilities. The system offers filtered role-specific views of the technology transfer documents, their approval statuses, and their plant assignments.
An industrial device data access adapter allows migration of operational technology (OT) data to a cloud platform to be executed and managed using the same cloud infrastructure used to manage migration of information technology (IT) data. The adapter is designed to be installed and executed as a containerized module on an IoT edge system or device. The adapter interfaces with industrial devices to collect data using native OT data format and communication protocols, and leverages the existing software framework of the IoT edge system—including data broker services and module management services—to move this data to a cloud platform. Since the adapter is designed to interface with the native framework of the IoT edge system on which the adapter executes, the adapter can be managed using through the existing IoT infrastructure of the cloud provider.
G06F 15/16 - Combinations of two or more digital computers each having at least an arithmetic unit, a program unit and a register, e.g. for a simultaneous processing of several programs
H04L 67/00 - Network arrangements or protocols for supporting network services or applications
H04L 69/08 - Protocols for interworking; Protocol conversion
H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
88.
ADDING MODEL STATE TO HUMAN MACHINE INTERFACE (HMI) VIEWS
Various embodiments of the present technology generally relate to industrial automation environments. More specifically, embodiments include systems and methods to visualize machine learning model status in an industrial automation environment. In some examples, a machine learning component receives process inputs associated with industrial devices in the industrial automated environment. The machine learning component processes the inputs to generate machine learning outputs and transfers the machine learning outputs to influence one or more functions of the industrial devices. The machine learning component reports operational data characterizing the machine learning outputs. A Human Machine Interface (HMI) component displays a visualization of the machine learning component and receives the operational data from the machine learning component. In response to a user selection, the HMI component displays an expanded view of the machine learning component that comprises the operational data and that indicates relationships between the machine learning component and the industrial devices.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
G05B 19/042 - Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
89.
Data driven digital twins for industrial automation device operation enhancement
An industrial automation system may include a first computing device that may receive operational technology (OT) data from industrial automation devices of an industrial automation system, determine identities of the industrial automation devices based on the OT data, determine that the OT data includes data attributes having variations as compared to additional OT data, transmit the identifiers and the data attributes to a second computing device in response to determining that the data attributions have the variations, receive containers including updated digital representations of the industrial automation devices from the second computing device, execute the containers to output additional data attributes, and send commands to the industrial automation devices to modify processes based the additional data attributes.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
90.
HARDWARE RELIABILITY MONITORING AND PREDICTION BASED ON MACHINE LEARNING
An industrial system and a method including using a processor, estimating a reliability of a component of an industrial system using a prognostic model program, using the processor, updating weighting vector parameters of the prognostic model program based on collected data and a previous reliability estimate using machine learning, and using the processor, selectively generating a warning based on comparison of the reliability with a threshold and/or deviation of weighting vector parameters.
A component that includes a circuit breaker housing with a reinforcement material impregnated in an outer surface is disclosed. The component includes a circuit breaker housing with outer walls on at least four sides where the circuit breaker housing is formed by injection of a heated wall material into a housing mold. The component includes a reinforcement material impregnated in an outer surface of one or more of the at least four sides. The reinforcement material is bonded to the circuit breaker housing during injection of the heated wall material.
H01B 3/47 - Insulators or insulating bodies characterised by the insulating materials; Selection of materials for their insulating or dielectric properties mainly consisting of organic substances waxes fibre-reinforced plastics, e.g. glass-reinforced plastics
Techniques to facilitate visualization of an application associated with an industrial automation environment are disclosed herein. In at least one implementation, a plurality of data items associated with machine operations in the industrial automation environment is presented. A user selection of at least one data item of the plurality of data items is received. Additionally, display instructions comprising display properties of the at least one data item and position information that identifies where to display the at least one data item are also received. The display instructions are processed to render a graphical user interface to the application, wherein the at least one data item is displayed according to the display properties and positioned in the graphical user interface based on the position information.
G06F 3/04847 - Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
G06F 3/0481 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
G06F 3/04817 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance using icons
G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
G06F 3/04842 - Selection of displayed objects or displayed text elements
G06F 3/04845 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range for image manipulation, e.g. dragging, rotation, expansion or change of colour
93.
INDUSTRIAL AUTOMATION DATA MANAGEMENT AS A SERVICE
A cloud-based edge-as-as-service (EaaS) system allows edge gateways to be easily configured and deployed on the cloud for collection, contextualization, and egress of industrial data to downstream applications, including analytic applications, work order management systems, or visualization systems. The EaaS system uses predefined device profiles to automatically discover relevant data items on plant floor devices and present these data items to a user. Model configuration interfaces served by the EaaS system allow the user to map selected data items to predefined models for organizing or contextualizing the selected data, and for egressing the contextualized data to the target applications. These model configurations can be deployed on the cloud platform as edge gateways that use the resulting information models to collect and contextualize relevant items of device data during runtime and to export the modeled data to the target application.
G05B 19/4155 - Numerical control (NC), i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by programme execution, i.e. part programme or machine function execution, e.g. selection of a programme
94.
DEVICE DISCOVERY WITH DATA MODELING AND DATA EGRESS
A cloud-based edge-as-as-service (EaaS) system allows edge gateways to be easily configured and deployed on the cloud for collection, contextualization, and egress of industrial data to downstream applications, including analytic applications, work order management systems, or visualization systems. The EaaS system uses predefined device profiles to automatically discover relevant data items on plant floor devices and present these data items to a user. Model configuration interfaces served by the EaaS system allow the user to map selected data items to predefined models for organizing or contextualizing the selected data, and for egressing the contextualized data to the target applications. These model configurations can be deployed on the cloud platform as edge gateways that use the resulting information models to collect and contextualize relevant items of device data during runtime and to export the modeled data to the target application.
G05B 19/4155 - Numerical control (NC), i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by programme execution, i.e. part programme or machine function execution, e.g. selection of a programme
The technology disclosed herein enables automation of component sourcing when designing a process system in an industrial environment. In a particular embodiment, a method includes receiving design specifications of a process system in an industrial environment via a system design application. The method further includes determining components to implement the process system from the design specifications and identifying a first subset of the components for sourcing from an external provider. The method also includes populating the first subset into a component sourcing application.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
A cloud-based edge-as-as-service (EaaS) system allows edge gateways to be easily configured and deployed on the cloud for collection, contextualization, and egress of industrial data to downstream applications, including analytic applications, work order management systems, or visualization systems. The EaaS system uses predefined device profiles to automatically discover relevant data items on plant floor devices and present these data items to a user. Model configuration interfaces served by the EaaS system allow the user to map selected data items to predefined models for organizing or contextualizing the selected data, and for egressing the contextualized data to the target applications. These model configurations can be deployed on the cloud platform as edge gateways that use the resulting information models to collect and contextualize relevant items of device data during runtime and to export the modeled data to the target application.
G05B 19/4155 - Numerical control (NC), i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by programme execution, i.e. part programme or machine function execution, e.g. selection of a programme
97.
Automatic Tuning and Control of a Linear Drive Based Independent Cart System with Initial Value Compensation
A controller for a linear drive system includes compensation of a reference signal as the mover approaches a commanded position along a track. The compensation value is added once as the vehicle approaches the commanded position, adjusting the reference signal. This compensation allows the controller to resolve to a zero reference signal at the same time the vehicle reaches the commanded position. The amount of compensation required may be automatically determined for a particular vehicle to reduce or eliminate overshoot as the vehicle approaches a station. Initially, no compensation is provided and the controller monitors settling error as the vehicle approaches a station. The compensation value is then incremented and the controller again monitors settling error as the vehicle approaches a station. The controller compares the new settling error to the prior settling error and adjusts the compensation value accordingly.
B65G 43/00 - Control devices, e.g. for safety, warning or fault-correcting
B65G 35/06 - Mechanical conveyors not otherwise provided for comprising a load-carrier moving along a path, e.g. a closed path, and adapted to be engaged by any one of a series of traction elements spaced along the path
B65G 54/02 - Non-mechanical conveyors not otherwise provided for electrostatic, electric, or magnetic
98.
INTERLACING DATA IN STREAMING INDUSTRIAL IMAGE DATA
A system may include a control system for controlling one or more operations of one or more industrial devices in an industrial system. The control system may receive streaming data comprising one or more visualizations representative of one or more live operational parameters associated with one or more industrial devices. The streaming data may include multiple image frames. The control system may also identify multiple datasets associated with the streaming data and generate multiple machine-readable images based on the multiple datasets. In addition, the control system may embed the multiple machine-readable images within the multiple image frames of the streaming data to generate updated streaming data and send the updated streaming data to a computing system that may extract the multiple machine-readable images from the updated streaming data.
G05B 19/4155 - Numerical control (NC), i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by programme execution, i.e. part programme or machine function execution, e.g. selection of a programme
G06K 19/06 - Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
G06K 7/14 - Methods or arrangements for sensing record carriers by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
99.
High Availability Redundant Power Distribution System Diagnostic Operations
Embodiments of this present disclosure may include a system with a first power converter and a control system. The first power converter may supply a first current to a first backplane while a second power converter is concurrently supplying a second current to a second backplane. The first backplane and the second backplane may electrically couple to one or more load components and the control system. The control system may cause the first power converter to adjust the first current such that the first current and the second current are imbalanced with respect to each other in response to receiving a request to verify that the second power converter is capable of supplying the one or more load components with a target current value while the first current and the second current are imbalanced.
Various embodiments of the present technology generally relate to industrial automation environments. More specifically, embodiments include systems and methods to train machine learning systems to perform autonomous control in an industrial automation environment. In some examples, a data aggregation component receives operational data from Original Equipment Manufacturer (OEM) devices, identifies a device type for the operational data, and transfers the operational data for the device type to a machine learning interface component. The operational data characterizes the operations of the OEM devices. The interface component receives the operational data for the device type and generates feature vectors based on the operational data configured for ingestion by a machine learning model. The interface component transfers the feature vectors to a machine learning model. The interface component receives a training indication from the machine learning model that indicates an autonomous control output for the device type of the OEM devices.
patents
