Photovoltaic power station fault detection method and device, portable detection equipment and storage medium

Abstract

The invention discloses a photovoltaic power station fault detection method and device, portable detection equipment and a storage medium. The method comprises the steps that a fault detection image of a photovoltaic panel assembly is acquired; performing fault detection by using a terminal fault detection model and the fault detection image to obtain a first fault detection result and fault detection accuracy; and under the condition that the fault detection accuracy is not greater than a preset threshold, uploading the fault detection image to a server, so that the server performs fault detection based on a cloud fault detection model and the fault detection image to obtain a second fault detection result and determine a final fault detection result. The device has the beneficial effectsthat the device has the advantage of being simple in structure; terminal detection and cloud detection are combined to directly detect images of the photovoltaic panel assembly, fault information ofthe photovoltaic panel assembly can be quickly and efficiently given, the whole photovoltaic panel achieved in the prior art can not be positioned, the fault positioning range is smaller, the detection result is more accurate, the algorithm is simple, the calculated amount is small, and the application range is wide.

Description

technical field [0001] This application relates to the technical field of photovoltaic power generation, and specifically relates to a photovoltaic power station fault detection method, device, portable detection equipment and storage medium. Background technique [0002] Photovoltaic power generation is a technology that directly converts light energy into electrical energy by using the photovoltaic effect of the semiconductor interface. Photovoltaic power stations are green power development energy projects that are encouraged to develop. It is an important daily work to maintain the safety of power stations during inspections of photovoltaic power stations. . At present, there are mainly three modes of operation and maintenance inspection of photovoltaic power plants, namely drone inspection, robot inspection and manual daily inspection. However, these three technical methods have many shortcomings, such as drones can only inspect Faults on the front of photovoltaic pane...

AI Technical Summary

Problems solved by technology

At present, there are mainly three modes of operation and maintenance inspection of photovoltaic power plants, namely drone inspection, robot inspection and manual daily inspection. However, these three technical methods have many shortcomings, such as drones can only inspect Faults on the front of photovoltaic panels; robot inspection speed is slow, and due to terrain constraints, many power stations cannot be used, and the fault detection method integrated on the drone or robot side has complex algorithms, weak computing power, and accurate fault information The accuracy and accuracy are low; while the efficiency of manual daily inspection is low, and the auxiliary inspection tools are lacking

Images