Photovoltaic cell panel inspection method based on deep learning

Abstract

The invention discloses a photovoltaic cell panel inspection method based on deep learning, and relates to the field of electric power inspection and image processing, and the method comprises the following steps: preparing network input data, and collecting an image data set of a photovoltaic cell panel through employing an imaging device carried by an unmanned plane; enhancing and expanding a training set and a test set through operations such as overturning, rotating, mirroring and brightness adjustment, and increasing the diversity of data; according to the invention, a detection algorithm of a photovoltaic cell panel defect area is designed through an improved Unet segmentation model, a network structure of an original Unet model is improved according to characteristics of image acquisition of an unmanned aerial vehicle and requirements of small area detection, a double-attention feature fusion module is introduced, proper network parameters such as an activation function are set, the feature extraction of tiny defects such as cracks is realized, background interference is inhibited, the robustness and accuracy of the network are improved, the problem of photovoltaic cell panel inspection can be effectively solved, and a guarantee is provided for the stable operation of a photovoltaic transformer substation.

Description

technical field [0001] The invention relates to the technical fields of electric power inspection and image processing, in particular to a method for inspection of photovoltaic panels based on deep learning. Background technique [0002] With the further aggravation of energy crisis and environmental pollution, people are gradually seeking new green energy to replace traditional fossil energy. As a renewable energy source, solar energy has the advantages of easy access, sustainable utilization, and environmental protection. At the same time, the photovoltaic industry and technology are also constantly progressing and developing, and various places have gradually begun to build photovoltaic power stations to utilize solar energy. There are a large number of solar panels distributed in these power stations, and each panel is one of the most important components in solar power generation. Its conversion rate and service life are important factors that determine whether the sol...

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Problems solved by technology

[0004] The purpose of the present invention is to solve the problems in the prior art that when the photovoltaic cell panel is inspected, it is impossible to accurately and quickly inspect the target photovoltaic cell panel area, and it is impossible to obtain the real state of the equipment in time, and to find the faulty area and complete the maintenance task, so that it is impossible to provide guarantee for the stable operation of the entire photovoltaic substation, and a photovoltaic panel inspection method based on deep learning is proposed

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