Power monitoring system and method based on big data analysis

By identifying synchronous actions and electrical responses, and combining topology analysis, a fault path chain for the power monitoring system is constructed, which solves the error in fault path identification in the existing system and enables accurate positioning of key equipment and precise screening of risk nodes.

CN121659141BActive Publication Date: 2026-07-21YANZHOU DONGFANG ELECTROMECHANICAL CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
YANZHOU DONGFANG ELECTROMECHANICAL CO LTD
Filing Date
2025-11-25
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing power monitoring systems cannot distinguish between synchronous triggering and independent faults when faced with scenarios where power outages occur in concentrated periods. They also lack dynamic feedback analysis, which leads to a misalignment between the fault path and the actual topology. This limits the system's ability to track abnormal development trends and the accuracy of screening high-risk nodes.

Method used

By extracting the time sequence of the triggering action, identifying the synchronization relationship, and combining the ratio of current change and voltage fluctuation, a collaborative identification rule between multiple devices is constructed. The connected path information of the topology is introduced, and number combinations with structural integrity and sequential consistency are selected to construct a triggering path chain with temporal logic. The frequency of occurrence and cross-distribution characteristics of device numbers in the path are statistically analyzed to identify key devices.

Benefits of technology

It enables clear tracing of abnormal transmission paths and accurate location of high-risk nodes, improving the power monitoring system's ability to analyze event chains and identify the collaborative impact between devices.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application relates to the technical field of power monitoring, in particular to a power monitoring system and method based on big data analysis, which comprises a synchronous action recognition module, an electrical response analysis module, a topological connectivity verification module, a jump transmission path construction module and a key equipment recognition module.In the application, the time sequence of jump transmission actions is extracted, the synchronous relationship of time proximity is recognized, synchronous response analysis is carried out in combination with the current change and voltage fluctuation proportion, the collaborative recognition rules among multiple devices are established, the connectivity path information of each number in the topological structure is introduced, the number combination with structural integrity and sequential consistency is screened, the jump transmission path chain with time sequence logic is constructed, the appearance frequency and cross distribution characteristics of the device numbers in the path are counted, the key equipment repeatedly appearing in multiple paths and having a core connection effect is recognized, and clear tracing of abnormal transmission paths and accurate positioning of high-risk nodes are realized.
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Citation Information

Patent Citations

  • Power grid operating steady state monitoring information-based fault diagnosis system and method

    CN105116291A

  • Verification method of intelligent comprehensive protection device

    CN120705719A