Photovoltaic cell panel night cleaning scheme automatic generation method based on visual perception

Abstract

The invention provides a photovoltaic cell panel night cleaning scheme automatic generation method based on visual perception, and the method comprises the steps: collecting a photovoltaic cell panelimage in the evening and the morning of the next day through an unmanned plane; processing the cell panel images to obtain the dirt level and the dirt distribution condition of each cell panel and thedirt distribution conditions of all the cell panels, and establishing a cleaning model according to the dirt level corresponding to the images collected in the morning, the dirt distribution condition of each photovoltaic cell panel and the overall dirt distribution conditions of all the cell panels; and then obtaining evaluation coefficients according to information such as dirt grades and dirtdistribution obtained by processing the battery panel images collected at dusk and morning, and adjusting the cleaning model according to the evaluation coefficients to obtain the cleaning speed, therotating brush rotating speed and the cleaning times of the cleaning robot. The related parameters of the cleaning robot can be adjusted according to the cleaning effect of the cleaning robot, so thatthe cleaning effect of the cleaning robot is better.

Description

technical field [0001] The invention belongs to the fields of artificial intelligence and photovoltaic cell panel cleaning, and in particular relates to a method for automatically generating a nighttime cleaning plan for photovoltaic cell panels based on visual perception. Background technique [0002] As a renewable new energy, photovoltaic power generation technology is gradually being used in daily life more and more. As the core of photovoltaic technology, the power generation efficiency of photovoltaic panels determines the energy conversion efficiency. Due to long-term exposure to the outdoor environment, photovoltaic panels will accumulate a lot of dirt on the surface, such as dust, bird droppings and other pollutants. With the advancement of science and technology, most current cleaning methods use drone inspections as Auxiliary, using a cleaning robot to clean the surface of the battery panel. [0003] Generally, the drone inspection of photovoltaic power plants us...

AI Technical Summary

Problems solved by technology

[0003] Generally, the drone inspection of photovoltaic power plants uses multiple patrol inspections, which has relatively high requirements for the battery life of the drone, and after each inspection is completed, the robot needs to be dispatched for cleaning, and the robot itself consumes a lot of power after cleaning. , the more cleaning times, the greater the power consumption of the robot, and the lower the working efficiency; if the robot cleans during the day, it will block the solar panels, especially for those stubborn and difficult to clean dirt, the robot will stay there for a long time Cause long-term shading, and in severe cases, it will cause hot spot effect, which will seriously affect the power generation of the battery panel

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