Dynamic identification method and engineering verification of power distribution network hazard AI
Year: 2025
Type: conference-paper
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.
DOI: 10.1117/12.3083620
Authors: Hao Tian, Chenyang Jia, Yang Guo, Penggang Lan
Institution: State Grid Corporation of China (China)
Language: English
Topic: Power Line Inspection Robots
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4414145274