Centralized photovoltaic power station battery assembly defect inspection system based on multi-rotor drone

Abstract

The invention discloses a centralized photovoltaic power station battery assembly defect inspection system based on a multi-rotor drone, which belongs to the technical field of centralized photovoltaic power station maintenance equipment. A four-rotor drone with RTK equipment is used to carry a high-definition camera for shooting. According to the photos, a high-definition map of the entire powerstation is stitched, an inspection route is drawn on the map and sent to the drone, the drone flies in accordance with the route and takes photos of the assembly, the shooting result is uploaded to abackstage, problems found by a detector in the shooting result can accurately correspond to the map, the whole detection process has a high automatic degree, the use burden of a user is low, all results are digitalized, traceable, and easy to view, the detector does not detect each assembly manually, the detection efficiency is greatly improved, the safety of the detector is ensured at the same time, the power station health condition can be intuitively presented for an owner, and cleaning or maintenance operations can be arranged in time.

Description

technical field [0001] The invention belongs to the technical field of centralized photovoltaic power station maintenance equipment, and specifically relates to a centralized photovoltaic power station battery component defect inspection system based on a multi-rotor drone. Background technique [0002] The centralized photovoltaic power station is a solar photovoltaic power station that is connected to the public grid and jointly undertakes the power supply task. This kind of power station covers a large area and is equipped with a large number of photovoltaic cell components. Through DC combiner boxes, DC distribution boxes, grid-connected inverters, Compressor stations, and finally send electric energy into the grid, effectively alleviating the electricity demand during the daytime peak. Since this type of power station covers a large area, idle lakes, hillsides, abandoned mining areas, etc. can be used as sites for centralized photovoltaic power plants. [0003] The equ...

AI Technical Summary

Problems solved by technology

[0008] Among the methods for finding component defects in the prior art, the method of analyzing the power generation of the combiner box to find the abnormality of the component first requires the combiner box to have the ability to report data, which puts high requirements on the combiner box itself, and has poor versatility. Different manufacturers The characteristics of the equipment are different, and the way to present the data is different, and for some older power stations, the combiner box does not have such a function

Furthermore, since this method is a statistical viewing method, the discovery of the problem has a certain delay, and the abnormality of the component cannot be found in the first time

In addition, this method can only point to the string to locate the problem, but cannot directly point out which component has the problem. It is still necessary for inspectors to go to the site to check each component in the problem string

Thermal imaging equipment can be used to detect problematic components on site, but if inspectors carry handheld devices for inspection, the efficiency of the entire inspection process is low, especially for overhead components on the ground, components installed on water, and components installed on hillsides. The process of capturing components is very cumbersome and time-consuming. At present, some manufacturers use drones to carry infrared equipment to search for problem components in the air. However, due to the problem of positioning accuracy, although the problem can be quickly found, the location of the problem has a large deviation. Increased maintenance staff pressure

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