A method and apparatus for health monitoring of a flexible photovoltaic support

By combining data acquired from internal and external sensing systems, performing preprocessing and feature extraction, and utilizing a photovoltaic support coupled response health monitoring model, the accuracy problem of health status assessment for flexible photovoltaic supports was solved, enabling health assessment and early warning for flexible photovoltaic supports.

CN122137342APending Publication Date: 2026-06-02WUHAN UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
WUHAN UNIV
Filing Date
2026-01-21
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing flexible photovoltaic support health monitoring systems cannot accurately assess the overall health status of flexible photovoltaic supports, especially when complex coupled responses occur under temperature or load excitation, lacking the characterization of the inherent correspondence between external excitation and structural response.

Method used

The system acquires the working status data of the photovoltaic support through an internal sensing system and the environmental parameter data through an external sensing system. The data is preprocessed and abnormal data is removed. Abnormal health status features are extracted and input into the photovoltaic support coupled response health monitoring model. The system outputs a health status score and issues an early warning.

Benefits of technology

It enables accurate health assessment and timely early warning of flexible photovoltaic supports, and can stably output scores that match the actual structural health status under different external excitation conditions, thereby improving the accuracy and reliability of monitoring.

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Abstract

This application provides a health monitoring method and apparatus for flexible photovoltaic (PV) supports, relating to the field of electrical data processing. The method includes: acquiring operational status data of the target flexible PV support through an internal sensing system and acquiring environmental parameter data surrounding the target flexible PV support through an external sensing system; extracting abnormal health status features from the preprocessed operational status data and environmental parameter data; inputting the abnormal health status features into a pre-constructed PV support coupled-response health monitoring model and outputting a corresponding health status score for the target flexible PV support; performing a health assessment of the target flexible PV support based on the health status score, and issuing an early warning when an abnormal health status score occurs. This application solves the problem that existing flexible PV support health monitoring systems cannot accurately and effectively assess the overall health status of flexible PV supports.
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