Cable insulation aging degree evaluation residual life early warning system

By collecting cable parameters and environmental data in real time, and combining improved coupling and residual correction algorithms, a cable insulation aging assessment and remaining life early warning system was constructed. This system solves the problems of cable aging assessment deviation and insufficient prediction accuracy, and achieves accurate aging level determination and early warning.

CN122171954APending Publication Date: 2026-06-09CHONGQING ZHANXIN CONSTRUCTION CO LTD
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Patent Information

Application Number
CN202610396036.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-30
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing cable insulation aging assessment and lifespan early warning systems suffer from problems such as large deviations in aging assessment due to multi-factor coupling and severe interference with the accuracy of remaining lifespan prediction, making it difficult to meet the safety operation and maintenance needs of power systems.

Method used

A high-frequency partial discharge sensor, a dielectric loss tester, and a temperature and humidity sensor are used to collect electrical and environmental parameters of the cable in real time. Through an improved multi-dimensional coupled aging assessment module and an optimized life decay prediction module, and by using an improved weighted adaptive coupling algorithm and a time-series residual correction algorithm, a cable insulation aging degree assessment and remaining life early warning system is constructed to achieve accurate aging level determination and dynamic life prediction.

Benefits of technology

It improves the accuracy of aging level determination, reduces prediction errors, and can provide early warning of accelerated aging degradation risks 3-6 months in advance, reducing the occurrence of short circuits and power outages.

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Abstract

The invention relates to the field of cable operation and maintenance, aims to solve the problems that the traditional cable insulation assessment ignores multi-factor coupling and the life prediction precision is low, and provides a precise early warning system. The system comprises a data acquisition module, an improved multi-dimensional coupling aging evaluation module, an optimized service life attenuation prediction module, an early warning output module and a data storage module. Electrical and environmental multi-dimensional parameters are collected through a sensor, the aging level is quantified through coupling modeling and dynamic weight calculation, the residual life is predicted based on an improved Arrhenius model and time sequence residual error correction, and three-level early warning is output through multiple channels. The accuracy of aging evaluation and life prediction is improved, the cable operation and maintenance decision is supported, the fault risk is reduced, and the method is suitable for a power system cable insulation state monitoring scene.
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