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Distributed photovoltaic power generation management method based on cloud computing

A distributed photovoltaic and management method technology, applied in the field of distributed photovoltaic power generation management system and electronic equipment, can solve problems such as insufficient stability and damage to solar panels, and achieve the effect of ensuring real-time and accuracy

Inactive Publication Date: 2021-08-10
杭州锋贯科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Once the mounting bracket is not firm enough, it may cause damage to the solar panel

Method used

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  • Distributed photovoltaic power generation management method based on cloud computing
  • Distributed photovoltaic power generation management method based on cloud computing
  • Distributed photovoltaic power generation management method based on cloud computing

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Embodiment Construction

[0045] Hereinafter, exemplary embodiments according to the present application will be described in detail with reference to the accompanying drawings. Apparently, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments of the present application. It should be understood that the present application is not limited by the exemplary embodiments described here.

[0046] Scenario overview

[0047] As mentioned above, traditional solar panels are installed in a designated area by means of brackets, which are composed of steel pipes, various fasteners and bolts. In order to improve the efficiency of power generation, the area of ​​solar panels will be large and placed at an angle, which is easily affected by wind, especially in areas with strong winds such as Northwest China and Inner Mongolia. Once the stability of the installation bracket is not enough, it may cause damage to the solar panel. Therefore, it is desire...

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Abstract

The invention discloses a distributed photovoltaic power generation management method based on cloud computing, and the invention employs a computer vision method based on deep learning to extract features capable of expressing the installation stability of a solar cell panel through the feature engineering of each frame of image of the solar cell panel, and furthermore, classification is carried out based on the features to monitor the installation stability of the solar cell panel. Specifically, in the classification process, association information of feature probability distribution of an edge part relative to feature probability distribution of an overall image is adopted to express the stability of an object, so that a monitoring video of a solar cell panel is obtained through a camera at a terminal side, calculation is performed at a server side of cloud calculation, and the real-time performance and the accuracy of monitoring are ensured.

Description

technical field [0001] The present invention relates to the field of cloud computing, and more specifically, to a distributed photovoltaic power generation management method based on cloud computing, a distributed photovoltaic power generation management system based on cloud computing, and electronic equipment. Background technique [0002] With the development of computer technology, the amount of data is increasing day by day, and the existing technology is also difficult to meet the development needs of the business. After layer-by-layer iteration and optimization of the code, it is still difficult to meet the growing demand of data. A new technology is urgently needed To engage in data computing, which has produced cloud computing technology. Cloud computing is a kind of distributed computing, which refers to decomposing a huge data calculation processing program into countless small programs through the network "cloud", and then processing and analyzing these small pro...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/73G06K9/32G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06T7/0004G06T7/73G06N3/08G06T2207/10016G06T2207/10024G06T2207/20076G06T2207/20081G06T2207/20084G06T2207/30108G06V10/25G06V10/44G06N3/047G06N3/048G06N3/045G06F18/241G06F18/2415
Inventor 李中辉
Owner 杭州锋贯科技有限公司
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