Autonomous path planning system and method based on photovoltaic cleaning robot

By integrating multi-source sensors, improved SLAM algorithms, layered reinforcement learning algorithms, spatio-time fusion convolutional neural networks and quantum genetic algorithms into the photovoltaic cleaning robot system, the problems of high labor costs, low efficiency, poor adaptability of mechanical equipment and low intelligence in photovoltaic panel cleaning are solved, and efficient, automated and intelligent photovoltaic panel cleaning is achieved, improving power generation efficiency and economic benefits.

CN120233778AActive Publication Date: 2025-07-01WUXI WANLU INTELLIGENT TECH CO LTD
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Patent Information

Application Number
CN202510379650.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-28
Publication Date
2025-07-01
Estimated Expiration
2045-03-28

AI Technical Summary

Technical Problem

The existing photovoltaic panel cleaning technology has problems such as high labor costs, low efficiency, poor adaptability of mechanical equipment, simple path planning, lack of multi-source data fusion, and low intelligence.

Method used

The autonomous path planning system based on photovoltaic cleaning robot is adopted, including the environment perception module, the path planning module, the obstacle detection module, the dynamic adjustment module and the execution control module. The system uses multi-source heterogeneous sensors for three-dimensional point cloud acquisition and noise removal, dynamic map construction and global path optimization through improved SLAM algorithms and hierarchical reinforcement learning algorithms, obstacle recognition and feature extraction are carried out in combination with spatiotemporal fusion convolutional neural networks and infrared thermal imaging technology, path conflict analysis and dynamic path re-planning are used to use quantum genetic algorithms to generate robot motion trajectory instructions through kinematic inverse solution algorithms and multi-axis collaborative control programs.

Benefits of technology

It realizes efficient, automated and intelligent cleaning of photovoltaic panels, improves cleaning efficiency and equipment safety, reduces labor costs and equipment damage, and improves the power generation efficiency and economic benefits of photovoltaic power stations.

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Abstract

The invention relates to the technical field of photovoltaic equipment cleaning, and discloses an autonomous path planning system and method based on a photovoltaic cleaning robot. The system comprises an environment sensing module which is used for collecting three-dimensional point cloud data on the surface of a photovoltaic panel and reducing noise; the path planning module is used for constructing a topological map and optimizing a global path; the obstacle detection module is used for identifying obstacles and extracting physical attributes of the obstacles; the dynamic adjustment module is used for analyzing path conflicts and dynamically re-planning; and the execution control module generates a robot motion instruction. According to the method, through cooperative work of the modules, efficient path planning and cleaning work of the photovoltaic cleaning robot in a complex environment are achieved. Compared with a traditional cleaning mode, the cleaning efficiency and quality are improved, the cost is reduced, the adaptability of equipment to a complex environment is enhanced, and powerful technical support is provided for development of the photovoltaic industry.
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