Intelligent distribution transformer operation and maintenance method and system

By using a four-dimensional acquisition architecture, a dynamic attention mechanism anchored to nameplate parameters, and a transfer learning model, the problems of low adaptability and accuracy in the operation and maintenance of distribution transformers are solved, enabling personalized detection of equipment status and efficient operation and maintenance.

CN121965971APending Publication Date: 2026-05-01SHARESUN ELECTRICAL LIMITED BY SHARE
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Patent Information

Application Number
CN202610071775.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-20
Publication Date
2026-05-01

AI Technical Summary

Technical Problem

Existing power distribution transformer operation and maintenance technologies suffer from problems such as a lack of adaptability in anomaly detection, low accuracy in remaining life prediction, imperfect alarm mechanisms, and low efficiency in human-machine interaction.

Method used

A four-dimensional acquisition architecture is adopted to acquire transformer data. Through a dynamic attention mechanism anchored to nameplate parameters and a transfer learning anomaly detection model, combined with a personalized weighted adaptive life prediction model, personalized anomaly detection and life prediction of equipment status are realized. Intelligent operation and maintenance are carried out through a multi-level early warning mechanism and a differentiated push strategy.

Benefits of technology

It improves the completeness and accuracy of equipment status awareness, enhances the adaptability and reliability of anomaly detection, enables rapid adaptation to newly commissioned equipment, provides accurate remaining life prediction and hierarchical alarms, and improves operation and maintenance efficiency.

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Abstract

The invention relates to the technical field of intelligent operation and maintenance of power equipment, and discloses an intelligent distribution transformer operation and maintenance method and system, and the method comprises the steps: fusing the four-dimensional parameters of electricity, state, nameplate and environment; a dynamic attention mechanism anchored by nameplate parameters is adopted to realize adaptive fusion of key features; abnormal detection is based on a transfer learning model, and cross-device knowledge transfer is promoted; residual life prediction is completed through a dynamic method of reference life and personalized aging coefficient correction; a multi-dimensional health assessment system is constructed, quantitative health scores are generated, and a multi-stage intelligent early warning mechanism is established according to the quantitative health scores and the residual life; meanwhile, an intelligent man-machine interaction system based on a BERT model is integrated, and natural language and voice questions and answers are supported; according to the invention, omnibearing intelligent monitoring, refined state evaluation, scientific life prediction and auxiliary decision making of the distribution transformer can be realized.
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