Self-inspection cleaning device for photovoltaic power plant based on machine vision

4th International Conference on Energy Equipment Science and Engineering

He, Zhuo^1^3 ; Zhang, Yan^1^3^4 ; Li, Huiyuan^2

School of Energy and Power Engineering, Wuhan University of Technology, Wuhan

430063, China^1

School of Automation, Wuhan University of Technology, Wuhan

430070, China^2

Shenlan Technology Innovation Team, Wuhan University of Technology, Wuhan

430063, China^3

National Research Engineering Center for Water Transport Safety, Wuhan

430063, China^4

关键词: Energy saving and emission reductions;    Fault detection systems;    Intelligent path planning;    New energy industries;    Operation and maintenance;    Photovoltaic industry;    Photovoltaic modules;    Photovoltaic power plant;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/242/3/032020/pdf
DOI  :  10.1088/1755-1315/242/3/032020

来源: IOP

【 摘 要 】

With the rapid development of the new energy industry, the photovoltaic industry is developing rapidly, and the maintenance work of photovoltaic equipment has become more important. In order to ensure the smooth and efficient operation of photovoltaic modules, it is necessary to carry out regular cleaning and maintenance and fault detection for solar panels. In order to solve this problem, this paper designs a self-inspection cleaning device for photovoltaic power plant based on machine vision, which is used for multi-image fusion pollutant identification, fault detection system, combined power unit based on drone platform, and combined cleaning device. And the four core parts of the intelligent path planning method based on chaotic firefly algorithm are designed to achieve the purpose of efficient operation and maintenance, energy saving and emission reduction, and also play an active role in reducing power station cleaning costs, saving human resources and improving the operation and maintenance efficiency of photovoltaic power plants.