System level industrial artificial intelligence aggregation of baseline data deviation
AssigneeRockwell Automation Technologies, Inc.
InventorsBijan SayyarRodsari, Cyril Perducat, Ran Wang
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AssigneeRockwell Automation Technologies, Inc.
InventorsBijan SayyarRodsari, Cyril Perducat, Ran Wang
Estimating the term…
Various systems and methods are presented regarding monitoring and controlling operation of a process. A visual representation of the process can be created based on a supermodel comprising models (representing one or more devices) and nodes (representing respective device variables and constraints). Further, the process can be represented by levels, wherein devices at each level can be self-aware and have onboard artificial intelligence, such that a device at any level can auto-configure itself in accordance with a requirement placed upon it. Field-level devices (IFLDs) can be smart devices which auto-configure based upon a requirement from a higher-level device. Accordingly, system awareness can be incorporated across all levels of the process enabling overall and device-specific optimization of the process. IFLDs can auto-configure to collect and transmit data in accordance with an instruction from a higher-level device, leading to efficient data collection, reduced data bandwidth/processing, and expedited system optimization.
An industrial device, comprising:
A computer-implemented method for controlling operation of a device in an industrial process, comprising:
A computer program product comprising a non-tangible computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:
Dependencies are inferred from the claim text.