Photovoltaic cleaning crawler robot pressure intelligent adjustment and protection method and system

CN120669773BActive Publication Date: 2026-04-21BEIJING GUOLING INTELLIGENT TECH CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING GUOLING INTELLIGENT TECH CO LTD
Filing Date
2025-06-26
Publication Date
2026-04-21

AI Technical Summary

Technical Problem

The pressure control system of existing photovoltaic cleaning tracked robot cannot intelligently adjust according to the dynamic changes in the surface condition of the photovoltaic panel and the cleaning environment, resulting in insufficient pressure control accuracy and easily causing damage to the surface of the photovoltaic panel or incomplete cleaning.

Method used

The pressure signal of the tracked vehicle is processed by dual time scale analysis and chaotic twin neural network. The multidimensional feature mapping of transient impact is extracted by chaotic twin neural network to generate impact feature matrix and pressure baseline trend vector. Combined with variational mode decomposition and photovoltaic panel surface load response characteristics, a baseline compensation model is established to generate adaptive pressure threshold. The output characteristics of the tracked vehicle are adjusted by multi-objective optimization controller.

Benefits of technology

It achieves precise pressure control over photovoltaic panels, preventing excessive damage, extending the service life of photovoltaic panels, and improving cleaning efficiency and quality.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention provides a method and system for intelligent pressure regulation and protection of a tracked photovoltaic cleaning robot, relating to the field of photovoltaic cleaning robot technology. The method includes processing pressure signals using a dual-timescale analysis method, extracting features through a chaotic twin neural network, establishing a baseline compensation model, generating an adaptive pressure threshold, calculating the optimal relative displacement and velocity values ​​based on the real-time motion parameters of the tracked vehicle, and using ranking learning to construct a multi-objective optimization controller to adjust the output characteristics. This invention effectively prevents damage to photovoltaic panels by the tracked vehicle, improving cleaning efficiency and safety.
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Citation Information

Patent Citations

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