Dynamic identification method and engineering verification of power distribution network hazard AI

As the development of smart grids accelerates, the distribution network, often referred to as the “last mile” of electricity delivery, plays a critical role in the continuity of social production and daily life. This article presents an artificial intelligence (AI)-powered technology for the autonomous inspection of distribution networks using drones, which integrates drone and AI technologies to enhance the efficiency and safety of electrical inspections. The technology involves the automatic recognition and classification of images and data captured by drones, enabling accurate identification and early warning of power equipment defects and potential safety hazards. Furthermore, the discussion extends to the practical application effects and the outcomes achieved through the implementation of this technology.

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Publication Details

Published
2025-09-09
DOI
https://doi.org/10.1117/12.3083620
Primary Topic
Power Line Inspection Robots
Type
article
Field-Weighted Citation Impact
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article

Dynamic identification method and engineering verification of power distribution network hazard AI

Chenyang Jia, Hao Tian, Yang Guo, Penggang Lan
Power Line Inspection Robots
article

Dynamic identification method and engineering verification of power distribution network hazard AI

Chenyang Jia, Hao Tian, Yang Guo, Penggang Lan
article en

Abstract

As the development of smart grids accelerates, the distribution network, often referred to as the “last mile” of electricity delivery, plays a critical role in the continuity of social production and daily life. This article presents an artificial intelligence (AI)-powered technology for the autonomous inspection of distribution networks using drones, which integrates drone and AI technologies to enhance the efficiency and safety of electrical inspections. The technology involves the automatic recognition and classification of images and data captured by drones, enabling accurate identification and early warning of power equipment defects and potential safety hazards. Furthermore, the discussion extends to the practical application effects and the outcomes achieved through the implementation of this technology.

State Grid Corporation of China (China) (CN)
Openalex Percentile: Top 75%
Power Line Inspection Robots
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