Invention Grant
- Patent Title: Implementing device modifications based on machine learning processes performed within a secure deployment system
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Application No.: US18107005Application Date: 2023-02-07
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Publication No.: US12088553B2Publication Date: 2024-09-10
- Inventor: Rob A. Entzminger , David C. Mazur , Nathaniel S. Sandler , Todd A. Wiese , Jonathan Alan Mills
- Applicant: Rockwell Automation Technologies, Inc.
- Applicant Address: US OH Mayfield Heights
- Assignee: Rockwell Automation Technologies, Inc.
- Current Assignee: Rockwell Automation Technologies, Inc.
- Current Assignee Address: US OH Mayfield Heights
- Agency: Fletcher Yoder, P.C.
- Main IPC: H04L9/40
- IPC: H04L9/40 ; G05B19/042 ; G05B19/418 ; G06N20/00 ; H04L67/00

Abstract:
A method may include receiving, via a secure deployment management (SDM) system, data associated with operations of an industrial device from a SDM node associated with the industrial device. The data is received via a secure communication channel established by the SDM system with the SDM node and security protocols. The SDM node is communicatively coupled with a machine learning system for sending and receiving data. The machine learning system may generate an updated machine learning model based on the data and a machine learning model representative of expected outputs associated with the operations of the industrial device and generate updated configuration data based on the updated machine learning model. The method may then include receiving the updated configuration data from the SDM node via the secure communication channel and sending the updated configuration data to the industrial device without performing security operations on the updated configuration data.
Public/Granted literature
Information query