Global health perception method and system for wide-area industrial control network
By acquiring equipment operating parameters, determining the relationship between static and dynamic data, identifying current stability, and verifying equipment consistency, the problem of erroneous data feedback from instruments in complex industrial control networks is solved, achieving robustness and rapid error identification of full-domain health perception.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- XINJIANG ZHONGXINJIAN OIL & GAS DEVELOPMENT CO LTD
- Filing Date
- 2026-05-22
- Publication Date
- 2026-07-17
AI Technical Summary
In complex oilfield and mining production sites, problems such as short circuits and open circuits in the connection loop between PLC and instruments can lead to incorrect data feedback from measuring instruments, affecting the health perception results of industrial control networks. Existing technologies cannot provide a comprehensive data acquisition and analysis architecture to improve robustness.
By acquiring equipment operating parameters, determining the relationship between static and dynamic data, identifying current stability, and determining equipment stability based on consistency verification, the overall health is statistically analyzed, and an instrument self-correction function is introduced to quickly identify errors.
It improves the robustness of the health perception process in wide-area industrial control networks, enabling rapid identification of instrument errors and enhancing data prediction accuracy and equipment stability.
Smart Images
Figure CN122420159A_ABST