Photovoltaic module intelligent cleaning and vegetation water replenishing cooperative control method and system

CN120263087APending Publication Date: 2025-07-04NORTHWEST ENGINEERING CORPORATION LIMITED
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Patent Information

Application Number
CN202510196871.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-21
Publication Date
2025-07-04

AI Technical Summary

Technical Problem

It is difficult for the existing technology to effectively integrate the Internet of Things, drone technology and deep learning methods to identify sand and dust occlusion on photovoltaic modules in real time and carry out intelligent cleaning and vegetation replenishment, resulting in a decrease in photovoltaic power generation efficiency and waste of resources.

Method used

By obtaining the operating status and environmental data of the photovoltaic modules, using a deep residual network to identify sand and dust occlusion areas, combining meteorological forecasting and vegetation ecological water generation and cleaning strategies, we realize coordinated control of intelligent cleaning and vegetation water replenishment.

Benefits of technology

It improves the comprehensiveness and accuracy of the operating status of photovoltaic modules, reduces unnecessary cleaning operations and resource waste, ensures cleaning results and optimizes the use of water resources, and promotes the coordinated development of the ecological environment.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention provides a cooperative control method and system for intelligent cleaning of a photovoltaic module and vegetation water replenishing, and belongs to the technical field of intelligent agriculture. The method comprises the steps that operation state data and environment data of the photovoltaic module are acquired; based on the operation state data and the environment data, utilizing a deep residual network to identify a sand and dust shielding area on the photovoltaic module; generating a cleaning strategy of the photovoltaic module according to the sand and dust shielding area on the photovoltaic module in combination with weather forecast data and vegetation ecological water; and performing intelligent cleaning and vegetation water replenishing on the photovoltaic module based on the cleaning strategy of the photovoltaic module. According to the invention, coordinated development of the photovoltaic industry and the ecological environment can be realized.
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Citation Information

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