Fault detection method, device, equipment, storage medium and program product of communication device

By constructing and updating the knowledge graph, the problem of low routine inspection efficiency of power grid communication equipment has been solved, and accurate identification of equipment status and accurate prediction of fault modes have been achieved, thereby improving the reliability and operation and maintenance efficiency of the power grid communication system.

CN122120175APending Publication Date: 2026-05-29GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD
Filing Date
2026-02-12
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

The low efficiency of scheduled maintenance of power grid communication equipment makes it difficult to cope with the diversity and dynamism of equipment operation data, leading to communication interruptions or bit errors, which affects the safe and stable operation of the power grid.

Method used

By acquiring the characteristic parameters of communication equipment, an initial knowledge graph is established, data alignment and synchronization are performed, a feature matrix is ​​generated, and knowledge graph technology is used to assess equipment status and predict fault modes. The knowledge graph is then updated to reflect fault trends and the scope of impact.

Benefits of technology

It enables accurate identification and prediction of abnormal states of communication equipment, improves the accuracy of fault location and the reliability of power grid communication systems, transforms into proactive prevention, and improves operation and maintenance efficiency.

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Abstract

The application relates to a fault detection method and device of a communication device, equipment, a storage medium and a program product. The method comprises the following steps: acquiring a classification result of a feature parameter of a communication device in a power grid; synchronously processing the classification result of the feature parameter according to a timestamp by adopting a data alignment algorithm to generate a feature matrix comprising the timestamp, the classification result, the feature parameter and a communication device component; establishing an initial knowledge graph based on the association relationship among the classification result, the feature parameter and the communication device component in the feature matrix; obtaining a device state evaluation result based on the first knowledge graph and the feature matrix; the device state evaluation result is used for indicating the abnormal probability of the communication device or the communication device component; and the first knowledge graph is updated based on the device state evaluation result to obtain a target knowledge graph. The method can improve the inspection efficiency of the power grid communication device.
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