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公开(公告)号：US12001196B2
公开(公告)日：2024-06-04
申请号：US17948921
申请日：2022-09-20
IPC分类号： G05B19/41 , G05B19/418
CPC分类号： G05B19/41845 , G05B19/4186
摘要： 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.
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公开(公告)号：US20240118684A1
公开(公告)日：2024-04-11
申请号：US18543908
申请日：2023-12-18
IPC分类号： G05B19/418
CPC分类号： G05B19/41885 , G05B19/4186 , G05B2219/25064
摘要： 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.
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公开(公告)号：US20240094714A1
公开(公告)日：2024-03-21
申请号：US17947892
申请日：2022-09-19
IPC分类号： G05B19/418 , G06T7/00
CPC分类号： G05B19/4185 , G05B19/4188 , G06T7/0004
摘要： 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.
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公开(公告)号：US20240085889A1
公开(公告)日：2024-03-14
申请号：US17940826
申请日：2022-09-08
发明人： David C. Mazur , Rob A. Entzminger
IPC分类号： G05B19/418
CPC分类号： G05B19/4186 , G05B19/41885 , G05B2219/25064
摘要： 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.
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5.发明公开公开(公告)号：US20230148090A1
公开(公告)日：2023-05-11
申请号：US17686095
申请日：2022-03-03
IPC分类号： G05B19/418 , G06F1/3206
CPC分类号： G05B19/41885 , G05B19/4188 , G06F1/3206
摘要： Systems, methods, and devices are disclosed herein for the integrated design and deployment of process control logic and power control logic in the context of industrial automation environments. In an implementation a computer displays, in an integrated design environment, representations of process control logic for controlling manufacturing devices an industrial automation process and of power control logic for controlling electrical devices in the industrial automation process. The computer further deploys the process control logic and the power control logic to a programmable logic controller (PLC) that controls the industrial automation process.
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公开(公告)号：US11556109B2
公开(公告)日：2023-01-17
申请号：US17184275
申请日：2021-02-24
发明人： David C. Mazur , Mithun M. Nagabhairava , Peter J. Flickinger , Ryan Coon , Jonathan D. Walter , Jonathan Wise , Calvin C. Steinweg
IPC分类号： G05B19/406 , G06F16/26
摘要： Provided herein are techniques related to an industrial system that may have a plurality of industrial automation devices, a database that has a plurality of location datasets that correspond to the plurality of industrial automation devices, and a monitoring system that may communicate with the industrial automation devices via a network and the database. The monitoring system may send a first request to the industrial automation devices in the industrial system to identify an industrial automation device having an active maintenance status. The active maintenance status may be indicative of a maintenance request for the industrial automation device. The monitoring system may send a second request to the database for a location dataset associated with the industrial automation device, generate a visualization that includes the active maintenance status and the location dataset associated with the industrial automation device, and display the visualization via an electronic display.
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公开(公告)号：US20220393456A1
公开(公告)日：2022-12-08
申请号：US17886738
申请日：2022-08-12
发明人： David C. Mazur , Corey A. Peterson , Robert Dilgard , Todd R. Sauve , Peter J. Halpin , Calvin C. Steinweg
摘要： A system includes a solid-state circuit breaker coupling between a power supply and an electrical load. The system also includes a gateway interface device communicatively coupled to the solid-state circuit breaker and includes a plurality of communication interfaces. In an embodiment, the gateway interface device includes a controller configured to perform operations including determining a connection status of at least one communication interface of the plurality of communication interfaces and determining a number of devices connected to the at least one communication interface, receive a signal from at least one device of the number of devices. In the embodiment, the operations may also include in response to receiving the signal, instructing the solid-state circuit breaker to disconnect the electrical load from the power supply.
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公开(公告)号：US20220244711A1
公开(公告)日：2022-08-04
申请号：US17659742
申请日：2022-04-19
发明人： Nicole R. Bulanda , Fabio M. Mielli , Andrew J. Schaeffler , Peter A. Morell , David C. Mazur , Barry N. Elliott , Scotty Bromfield
IPC分类号： G05B19/418 , H04J3/06 , G06N20/00
摘要： Techniques to facilitate synchronization of industrial assets in an industrial automation environment are disclosed herein. In at least one implementation, a computing system receives time-series industrial process data associated with a plurality of process subsystems of an industrial automation process. The time-series industrial process data is fed into a machine learning model associated with the industrial automation process to dynamically generate a process duration prediction for a first one of the process subsystems and responsively determine an updated set point for a second one of the process subsystems based on the process duration prediction for the first one of the process subsystems. The updated set point for the second one of the process subsystems is provided to an industrial controller associated with the second one of the process subsystems.
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公开(公告)号：US11340594B2
公开(公告)日：2022-05-24
申请号：US16543112
申请日：2019-08-16
发明人： Nicole R. Bulanda , Fabio M. Mielli , Andrew J. Schaeffler , Peter A. Morell , David C. Mazur , Barry N. Elliott , Scotty Bromfield
IPC分类号： G05B19/418 , H04J3/06 , G06N20/00
摘要： Techniques to facilitate synchronization of industrial assets in an industrial automation environment are disclosed herein. In at least one implementation, a computing system receives time-series industrial process data associated with a plurality of process subsystems of an industrial automation process. The time-series industrial process data is fed into a machine learning model associated with the industrial automation process to dynamically generate a process duration prediction for a first one of the process subsystems and responsively determine an updated set point for a second one of the process subsystems based on the process duration prediction for the first one of the process subsystems. The updated set point for the second one of the process subsystems is provided to an industrial controller associated with the second one of the process subsystems.
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公开(公告)号：US11340592B2
公开(公告)日：2022-05-24
申请号：US16518523
申请日：2019-07-22
IPC分类号： G05B19/418 , G05B13/02 , F04D27/00 , F04D29/00
摘要： A compressor controller for operating a compressor within an industrial automation environment is provided. The compressor controller includes a control module, configured to control the compressor via control settings, and a machine learning module, coupled with the control module. The machine learning module is configured to receive a set of supervised data related to the compressor, and to train with the supervised data to produce a Newtonian physics model representing the inputs and outputs of the compressor within the industrial automation environment. The machine learning module is also configured to receive performance data related to the compressor, receive environment data related to the compressor, and to process the performance data and environment data to produce predicted future performance data for the compressor, and to produce control settings for the compressor.
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