Distribution network unmanned aerial vehicle inspection result automatic return and defect identification method

By using unmanned vehicles and drones for collaborative inspections and power distribution network defect image recognition technology, the problems of low efficiency in power distribution network inspections, chaotic management of results, and reliance on manual defect identification have been solved. This has enabled efficient and secure power distribution network inspection data management and rapid fault response, adapting to the digital transformation of power distribution networks.

CN122391919APending Publication Date: 2026-07-14STATE GRID HUBEI ELECTRIC POWER CO LTD WUHAN POWER SUPPLY CO
0 Cites 0 Cited by

Patent Information

Application Number
CN202610376679.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-25
Publication Date
2026-07-14

AI Technical Summary

Technical Problem

The existing distribution network inspection model is inefficient, has a slow fault response, chaotic management of inspection results, and relies on manual identification for defect identification, making it difficult to meet the needs of distribution network digital transformation and large-scale application of drones.

Method used

By using unmanned vehicles equipped with drone hangars, collaborative inspections between drones and unmanned vehicles are achieved. Automated defect identification is carried out through distribution network defect image recognition technology. A standardized process for data collection, processing, and secure transmission of inspection results is established, and data synchronization and management are carried out in conjunction with the power grid digital intelligence hub platform.

Benefits of technology

Significantly improves inspection efficiency and accuracy, enables rapid fault response, ensures secure data transmission, reduces reliance on manual labor, and adapts to the needs of digital transformation of power distribution networks.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention discloses a distribution network unmanned aerial vehicle inspection result automatic return and defect identification method, and relates to the technical field of power distribution network inspection. The problems that traditional manual inspection efficiency is low, fault response lags behind, data transmission has no safety guarantee, and defect identification depends on manpower are solved. The method comprises the steps that an unmanned vehicle carries an unmanned aerial vehicle and a hangar to drive to a stop point, and the unmanned aerial vehicle takes off to execute inspection and collects result data; after the unmanned aerial vehicle returns, the unmanned aerial vehicle platform processes and returns result data to the unmanned aerial vehicle management platform; the management platform performs defect identification on the data by adopting an AI image identification technology to generate an identification result; and finally, the management platform synchronizes the identification result to the power grid digital intelligent central platform, and associates and stores the identification result with the equipment operation state. According to the invention, automation and intelligentization of the whole process of distribution network inspection are realized, the inspection efficiency and the accuracy of data processing are greatly improved, a fault response mechanism is optimized, and powerful support is provided for intelligent operation and maintenance of a distribution network line.
Need to check novelty before this filing date? Find Prior Art