Local anti-misoperation system and method applied to switching of transformer substation

By using AI glasses and edge computing boxes, and combining data acquisition, visual recognition and eye-tracking technologies, a temporal knowledge graph is constructed for real-time reasoning. This solves the problems of complex logic adaptability, network dependence and human negligence in substation switching operations, and achieves high-security and intelligent operation monitoring.

CN121643261APending Publication Date: 2026-03-10EXTRA HIGH VOLTAGE POWER TRANSMISSION NANJING OF CHINA SOUTHERN POWER GRID
0 Cites 1 Cited by

Patent Information

Application Number
CN202511807276.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-03
Publication Date
2026-03-10

AI Technical Summary

Technical Problem

Existing substation switching operation error prevention systems are inadequate in adapting to complex logic and dynamic scenarios, network dependencies, and human negligence. They cannot perform real-time and reliable multi-dimensional monitoring, resulting in a high risk of misoperation.

Method used

The system, which uses AI glasses and edge computing boxes, combines data acquisition, visual recognition and eye-tracking technologies to build a temporal knowledge graph for real-time reasoning, enabling local identification of device information and verification of operation steps, and integrating visual and voice interaction for multi-dimensional monitoring.

Benefits of technology

It enables real-time verification in unattended and network-restricted scenarios, reducing the risk of misoperation and improving the safety and intelligence level of substation operation.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention discloses a local anti-misoperation system and method applied to switching of a transformer substation, the system comprises an AI glasses end and an edge calculation box end which are in communication connection with each other, and the AI glasses end comprises a data acquisition module and a man-machine interaction module; the edge calculation box end comprises a knowledge graph module which is used for storing and loading a time sequence knowledge graph of an operation order; the visual identification module is used for receiving the equipment image and identifying field equipment information; and the inference engine module is used for receiving the equipment information and the eyeball movement data, performing inference based on the time sequence knowledge graph so as to verify the compliance triggered by the current operation and the next operation, and outputting corresponding operation prompt or alarm information based on a verification result. According to the invention, localized, real-time and intelligent safety management and control of the switching operation of the transformer substation are realized through the steps of determining the knowledge graph, collecting data, identifying equipment, reasoning and checking, outputting information and the like.
Need to check novelty before this filing date? Find Prior Art