US 12,282,320 B2
Adding model state to human machine interface (HMI) views
Jordan C. Reynolds, Austin, TX (US); John J. Hagerbaumer, Mequon, WI (US); Troy W. Mahr, Pleasant Prairie, WI (US); Thomas K. Jacobsen, Wake Forest, NC (US); and Giancarlo Scaturchio, Pisa (IT)
Assigned to Rockwell Automation Technologies, Inc., Mayfield Heights, OH (US)
Filed by Rockwell Automation Technologies, Inc., Mayfield Heights, OH (US)
Filed on Jun. 17, 2022, as Appl. No. 17/843,122.
Prior Publication US 2023/0409021 A1, Dec. 21, 2023
Int. Cl. G05B 19/418 (2006.01); G05B 19/042 (2006.01)
CPC G05B 19/41885 (2013.01) [G05B 19/0426 (2013.01); G05B 2219/13144 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system to visualize machine learning model status in an industrial automation environment, the system comprising:
a memory that stores executable components; and
a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising:
a machine learning component configured to receive process inputs associated with industrial devices in the industrial automated environment, process the inputs to generate machine learning outputs that comprise control signaling to influence one or more functions of the industrial devices, transfer the control signaling to a Programmable Logic Controller (PLC), and report operational data characterizing the machine learning outputs and the control signaling, wherein the PLC influences one or more functions of the industrial devices based on the control signaling;
a Human Machine Interface (HMI) component hosted by an on-site HMI device configured to display a visualization of the machine learning component and receive the operational data from the machine learning component; and
in response to a user selection, the HMI component configured to display an expanded view of the machine learning component and that comprises the operational data that characterizes the machine learning outputs and the control signaling and that indicates operational relationships between the machine learning component, the PLC, and the industrial devices.