Transformer winding deformation online monitoring system and method based on microwave resonance principle

By using an online monitoring system based on the microwave resonance principle, real-time monitoring and early warning of transformer winding deformation are achieved through sensor arrays and edge computing platforms. This solves the problem of real-time detection in existing technologies and improves the level of intelligent operation and maintenance of transformers.

CN121632030APending Publication Date: 2026-03-10国网重庆市电力公司市南供电分公司
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Patent Information

Application Number
CN202511955571.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-23
Publication Date
2026-03-10

AI Technical Summary

Technical Problem

Existing technologies cannot achieve real-time online monitoring and early warning of transformer winding deformation, resulting in fault detection relying on post-accident diagnosis and failing to issue early warnings in the early stages of deformation. This leads to passive and frequent maintenance strategies, resulting in economic losses.

Method used

An online monitoring system based on the principle of microwave resonance is adopted, including an in-tank sensor array, edge computing and communication nodes, and a cloud-edge collaborative intelligent platform. The system senses the mechanical displacement of the winding through the microwave resonator array and achieves real-time monitoring and early warning by combining edge computing and cloud analysis.

Benefits of technology

It enables highly sensitive, quantitative, and real-time online monitoring of mechanical deformation of transformer windings, improving operation and maintenance efficiency and reducing the frequency of faults and economic losses.

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Abstract

The invention relates to a transformer winding deformation online monitoring system based on a microwave resonance principle. The system adopts a layered architecture and specifically comprises a monitored entity, a sensor array in an oil tank, an edge computing and communication node and a cloud edge collaborative intelligent platform. The monitored entity is an oil-immersed transformer winding; the sensing array in the oil tank is fixed on the inner wall of the oil tank according to a preset space matrix based on a specifically designed microwave resonator and is used for sensing the displacement of a winding; the edge calculation and communication node integrates a radio frequency measurement unit, a multi-path switching unit, a core processing unit and a communication interface unit, and is responsible for quickly scanning the sensing array and extracting resonance characteristic parameters in real time; and the cloud edge collaborative intelligent platform is deployed in a remote server, integrates a deformation diagnosis model and a three-dimensional visualization engine, and is used for receiving the characteristic parameters and performing quantitative evaluation, positioning and visual early warning of deformation. According to the invention, in-service, real-time and non-contact online monitoring and intelligent diagnosis of the mechanical deformation of the transformer winding are realized.
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