Substation defect identification method and system based on unmanned aerial vehicle inspection data

By using multi-sensor data fusion and multi-model decision-making techniques, a substation defect identification model was constructed, which solved the problem of poor detection performance of single sensors in UAV inspections and achieved high reliability and high accuracy defect identification under different lighting conditions.

CN118710967BActive Publication Date: 2026-07-21STATE GRID HUNAN ELECTRIC POWER COMPANY LIMITED +2
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
STATE GRID HUNAN ELECTRIC POWER COMPANY LIMITED
Filing Date
2024-06-24
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing methods for identifying defects in substations using drones rely on a single sensor, resulting in poor detection performance under poor lighting conditions or when the substation is well-hidden. Furthermore, the analysis depends on expert experience, leading to poor reliability and accuracy.

Method used

A multi-sensor data fusion method is adopted, which combines acoustic print, vibration, visible light and infrared image data. A substation defect identification model is constructed by using Transformer network, LSTM network and YOLOv4 model. The final identification is performed by multi-model decision fusion technology.

Benefits of technology

This improves the reliability and accuracy of substation defect identification by drone inspections, enabling accurate identification of substation defects under different lighting conditions.

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Abstract

The application discloses a kind of based on unmanned plane inspection data's substation defect identification method, including obtaining existing substation unmanned plane inspection data information and pre-processing construction training data set;Substation defect identification initial model is constructed and substation defect identification model is obtained by training;Actual substation is patrolled using unmanned plane and actual inspection data information is obtained;Actual inspection data information is input into substation defect identification model to obtain substation defect preliminary identification result;Data fusion is carried out using multi-model decision fusion method to obtain the final substation defect identification result based on unmanned plane inspection data.The application also discloses a kind of system for realizing the based on unmanned plane inspection data's substation defect identification method.The application uses multiple types of inspection data to identify defects, and then uses multi-model decision fusion to identify the final defects.Therefore, the application not only realizes the defect identification of the substation, but also has higher reliability and better accuracy.
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