Substation signal intelligent monitoring method and system based on agent

By constructing a dual-link anomaly transmission relationship for a substation signal intelligent monitoring system, and combining physical and signal transmission relationships to calculate the comprehensive anomaly probability, the problem of difficulty in distinguishing the source of equipment anomalies in existing technologies is solved, achieving highly accurate anomaly monitoring and reliable alarms.

CN122159504APending Publication Date: 2026-06-05STATE GRID ZHEJIANG ELECTRIC POWER CO LTD NINGBO POWER SUPPLY CO +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
STATE GRID ZHEJIANG ELECTRIC POWER CO LTD NINGBO POWER SUPPLY CO
Filing Date
2026-05-09
Publication Date
2026-06-05

Smart Images

  • Figure CN122159504A_ABST
    Figure CN122159504A_ABST
Patent Text Reader

Abstract

The application discloses a substation signal intelligent monitoring method and system based on an agent, relates to the technical field of substation signal monitoring, and comprises the following steps: constructing a physical abnormal conduction relationship corresponding to a physical topology link and a signal abnormal conduction relationship corresponding to a signal topology link according to the physical operation mechanism and the signal transmission mechanism of power equipment; classifying power equipment in the monitoring range of the same environment monitoring equipment into the same monitoring set, and acquiring spatial state deviation influence according to historical signal data and historical spatial states of the same type of power equipment in different monitoring sets; outputting the comprehensive abnormal probability of each power equipment according to real-time signal data, spatial state deviation influence, the physical abnormal conduction relationship and the signal abnormal conduction relationship; and outputting an abnormal positioning result according to the comprehensive abnormal probability by using the reasoning mechanism of the agent. The application takes into account the abnormal sensing sensitivity and the alarm output reliability.
Need to check novelty before this filing date? Find Prior Art