Photovoltaic power station logic diagram-based array automatic detection and numbering method

Abstract

The invention discloses a photovoltaic power station logic diagram-based array automatic detection and numbering method. The method comprises the steps of firstly performing zoning on a photovoltaic power station main logic diagram to obtain a zoning image, removing color information of the zoning image to obtain a grayscale image, and performing binary threshold segmentation on the grayscale image to obtain a binary image with separated background and foreground (namely, an array profile); secondly, extracting a rectangular profile of the binary image, eliminating a false profile and noise interference by calculating modal information of the rectangular profile, and extracting an accurate array rectangle; and finally performing row and column numbering on each array, calculating geodetic coordinates of four vertexes of an array, converting the geodetic coordinates into GPS coordinates, and storing row and column numbers and GPS coordinate information in data files. According to the method, the position and number information of the array can be provided for applications such as automatic route planning of an unmanned aerial vehicle during shooting of a photovoltaic power station infrared image for performing cruising, hotspot detection and locating, and the like; and the technical support is provided for improving the automation level of photovoltaic power station fault detection.

Description

technical field [0001] The invention relates to an array automatic detection and numbering method based on a logic diagram of a photovoltaic power station, and belongs to the technical field of automatic analysis of array faults in a photovoltaic power station. Background technique [0002] In recent years, the photovoltaic power generation industry has entered a stage of rapid development worldwide, and the scale of photovoltaic power plants is also increasing. Each array of a large-scale photovoltaic power station usually has the characteristics of regular arrangement, large number, and wide distribution area in terms of geographical location, which greatly increases the workload and difficulty of fault detection. At present, the automation level of array fault (such as hot spot) detection is not high, and all array components are mainly detected by manual electrical measurement method, which has high labor cost and low efficiency. However, the method of detection by hand...

AI Technical Summary

Problems solved by technology

Each array of a large-scale photovoltaic power station usually has the characteristics of regular arrangement, large number, and wide distribution area in terms of geographical location, which greatly increases the workload and difficulty of fault detection

At present, the automation level of detection of array faults (such as hot spots) is not high, and it mainly relies on manual detection of all array components through electrical measurement, which has high labor costs and low efficiency

However, the detection method by manual handheld infrared thermal imager can only identify hot spots in a small local array, and cannot automatically generate an analysis report on the fault location and severity, and there is a certain degree of danger.

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