Self-diagnosis high-voltage fuse and running state online monitoring method thereof

By integrating multi-dimensional sensors and self-diagnostic modules, high-voltage fuses have achieved multi-parameter monitoring, adaptive diagnosis, and dynamic life prediction, solving the problems of low diagnostic accuracy and unplanned power outages in existing high-voltage fuses, and improving the safety and reliability of the power system.

CN122000257APending Publication Date: 2026-05-08HEBEI MINGLANG ELECTRIC POWER TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202610102709.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-26
Publication Date
2026-05-08

AI Technical Summary

Technical Problem

Existing high-voltage fuses lack multi-dimensional monitoring and adaptive self-diagnosis functions, resulting in low diagnostic accuracy, inability to proactively pre-process potential faults, and lack of self-repair linkage, posing a risk of unplanned power outages.

Method used

The self-diagnostic high-voltage fuse integrates multi-dimensional sensors, digital twin virtual modeling, self-calibration unit and self-repair trigger unit to achieve multi-parameter synchronous monitoring, adaptive diagnosis and dynamic life prediction, and handles faults through a graded response mechanism.

Benefits of technology

It enables accurate diagnosis and self-repair linkage of high-voltage fuses, reduces the risk of misjudgment, improves the safety and reliability of the power system, and avoids unplanned power outages.

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Abstract

The invention discloses a self-diagnosis high-voltage fuse and a running state online monitoring method thereof, and belongs to the technical field of high-voltage power equipment.The method comprises the following steps that S1, running parameters and environmental parameters of a fuse body are collected, and collected data are corrected in real time based on calibration factors; s2, filtering and denoising the calibrated data, and extracting core feature parameters; s3, calculating a state evaluation index based on a multi-parameter coupling state evaluation formula, constructing a dynamic threshold self-optimization model in combination with a simulation result of the digital twin model, adjusting a state judgment threshold in real time, and adaptively matching a typical fault mode; s4, calculating the residual life of the fuse link body through a dynamic aging prediction formula, and quantifying the fault risk level; and S5, performing graded response and self-diagnosis feedback based on a calculation result. According to the invention, the technical defects of single monitoring parameter, low diagnosis precision and lack of self-repairing linkage in the prior art are overcome, and the operation safety and reliability of a power system are improved.
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