A photovoltaic support wind load intelligent monitoring method and system

The photovoltaic support wind load intelligent monitoring system can sense and analyze wind load parameters in real time, dynamically adjust the monitoring frequency and accuracy, solve the problem of the accuracy of wind load action status and force distribution of photovoltaic supports, realize efficient wind load monitoring and early warning, and extend the service life of photovoltaic supports.

CN122241901APending Publication Date: 2026-06-19CHINA ANENG GRP FIRST ENG BUREAU CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA ANENG GRP FIRST ENG BUREAU CO LTD
Filing Date
2026-02-10
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing technologies lack the ability to integrate and correlate wind load mechanical parameters of key stress-bearing components of photovoltaic supports with environmental wind speed parameters, resulting in the inability to accurately select core stress parameters and analyze the wind load status and stress distribution in real time.

Method used

A photovoltaic support wind load intelligent monitoring system is adopted, including a sensing module, a linkage module, an adaptation module, an analysis module, and a control module. By sensing wind load mechanical parameters and environmental wind speed parameters in real time, a parameter correlation mapping is established, core stress parameters are screened, a mechanical analysis model is constructed, and the monitoring frequency, accuracy, and sensing range are dynamically adjusted according to the analysis results.

Benefits of technology

It improves the accuracy of judging the wind load state and stress distribution, reduces system operating costs, extends the service life of photovoltaic supports, and provides early warning of structural instability and fatigue damage risks through full-domain stress distribution visualization.

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Abstract

This invention discloses an intelligent monitoring method and system for wind load on photovoltaic (PV) supports, relating to the field of PV supports. It includes: a sensing module for real-time sensing of wind load mechanical parameters and ambient wind speed parameters at key stress-bearing parts of the PV support; and a linkage module for associating multi-dimensional parameters collected by intelligent sensors, establishing parameter association mapping, and synchronously associating sensor sensing nodes at key stress-bearing parts of the PV support. This invention effectively improves the accuracy of judging the wind load application state and stress distribution through multi-dimensional data association mapping and core parameter screening, combined with precise mechanical analysis and risk assessment. Simultaneously, it corrects measurement deviations based on a dynamic calibration mechanism, ensuring data reliability.
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