Inspection method and system for a photovoltaic power station

Abstract

The invention provides a method and system for inspection of a photovoltaic power station, and relates to the technical field of detection. The inspection method includes: determining the inspection range; dividing the inspection range into multiple regional sub-arrays; the UAV conducts inspections according to the route, hovers at a fixed point, and uses a dual-light camera to simultaneously collect infrared images and wide-angle images; Perform defect detection on the image to obtain the defect type and the position range frame of the defect on the infrared image, and obtain the center position coordinates of the position range frame; map the infrared image to the wide-angle image; convert the center position coordinates mapped to the wide-angle image to the world Coordinate system to obtain defect geographical coordinates; weight reduction processing is performed on all defect geographical coordinates; the weight reduction processed defect geographical coordinates are projected onto the station image, and combined with defect types, an inspection report is generated. The technical solution of the present invention can improve the accuracy of locating defect positions through the inspection of photovoltaic power stations by drones.

Description

technical field [0001] The invention belongs to the technical field of detection, and in particular relates to a method and system for inspection of a photovoltaic power station. Background technique [0002] The number of photovoltaic power plants in my country is large and widely distributed, the inspection cycle is long, and the operation and maintenance costs are high. At present, the specific location of the defect is mainly located by processing the inspection data collected by the drone. The existing defect localization schemes are mainly based on the segmentation and matching of inspection images and the use of azimuth coordinate models. [0003] Among them, in the segmentation and matching scheme of the inspection image, firstly, the position of the current defect point is roughly located according to the GPS of the UAV hardware platform for inspection, and secondly, the location of the defect point is extracted from the collected inspection image of the same type ...

AI Technical Summary

Problems solved by technology

In the above defect location method, the defect on the UAV fixed-point inspection image is directly converted into geographic coordinates, and then the photovoltaic substring closest to the coordinate point is traversed as the defect point position. Since there is no compensation means, this method is also accurate. The problem of low degree

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