Automatic intelligent operation and maintenance system for photovoltaic panel failure of photovoltaic power stations
Year: 2025
Type: conference-paper
Abstract: As an important part of the new energy system, the operation and maintenance efficiency and intelligence level of photovoltaic power stations are directly related to the power generation efficiency and operation cost of the power stations. In order to solve the problems of low automation degree, high labor consumption, and difficult fault detection in the operation and maintenance process of photovoltaic power stations, an automatic intelligent operation and maintenance system for photovoltaic panel fault in photovoltaic power station is proposed in this paper. The system combines artificial intelligence, unmanned aerial vehicles, and machine vision technology, which can realize the detection and classification of fault data on the server side, and automatically and intelligently analyze the main fault types of photovoltaic panels on the field side.
Authors: Bo Lin, Zhengying Miao, Jiayi Shao, Kai Hu
Language: English
Field: Energy
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409505303