Power transformation equipment state evaluation method and system based on centralized control system

Through the multi-dimensional multi-scale data synchronization fusion method of the centralized control system, the problem of data sources in power equipment status evaluation is solved, and high-accurate equipment status diagnosis and reliability evaluation is achieved, and panoramic data display and auxiliary decision-making support are provided. .

CN119231739APending Publication Date: 2024-12-31STATE GRID HUBEI EXTRA HIGH VOLTAGE CO +2
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Patent Information

Application Number
CN202310785452.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-06-29
Publication Date
2024-12-31

AI Technical Summary

Technical Problem

The data source of the existing power equipment status evaluation scheme is one-sided, resulting in low accuracy of status prediction results and it is difficult to achieve synchronous acquisition and fusion analysis of multi-dimensional and multi-scale data.

Method used

The multi-dimensional multi-scale multi-source data synchronization and fusion method based on the centralized control system is adopted. By obtaining alarm remote signal information, mutation telemetry information, video information and event information, time scale synchronization and data fusion analysis are carried out, combining hierarchical analysis method and Anti-entropy weight method realizes comprehensive evaluation of equipment status.

Benefits of technology

It improves the accuracy and reliability of device status diagnosis, reduces the probability of misdiagnosis, and provides multi-dimensional panoramic data display and auxiliary decision-making support for the device.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to a power transformation equipment state evaluation method and system based on a centralized control system, and the scheme comprises the steps: obtaining alarm type remote signaling information, mutation type remote measurement information, video information with image frame changes, and event information containing event records of each power transformation equipment; marking a time mark for the change moment of the multi-source monitoring information to obtain synchronized monitoring data; carrying out fusion analysis on the obtained different types of monitoring data, capable of reflecting the same monitoring target state of the same power transformation equipment, of the power transformation equipment; performing comprehensive analysis on the same type of monitoring data of different power transformation devices; and finally, according to each fusion analysis result and the comprehensive analysis result, evaluating to obtain the overall health state of each power transformation device. The method is based on fusion and analysis of multi-source and multi-type data, so that the accuracy of equipment state diagnosis is improved.
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Citation Information

Cited By

  • Power equipment health detection method and system

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