A method and system for health detection and early warning of photovoltaic equipment

CN121117418BActive Publication Date: 2026-05-26INNER MONGOLIA ELECTRIC POWER SURVEY & DESIGN INST
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
INNER MONGOLIA ELECTRIC POWER SURVEY & DESIGN INST
Filing Date
2025-09-11
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing photovoltaic equipment monitoring and early warning systems suffer from limitations in monitoring dimensions, delayed response, and low early warning accuracy, resulting in delayed fault detection and low operation and maintenance efficiency.

Method used

By acquiring the electrical and physical parameters of photovoltaic equipment, compressing the collected time information, and using a health detection model for dynamic and rapid early warning, the system achieves equipment health assessment through multi-dimensional data fusion and AI model.

Benefits of technology

It enables dynamic and rapid early warning of photovoltaic equipment, improves the accuracy of health assessment and the speed of fault detection, and reduces operation and maintenance costs.

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Abstract

This invention provides a method and system for health detection and early warning of photovoltaic (PV) equipment. The method includes: acquiring electrical parameters, physical parameters, first acquisition time information corresponding to the electrical parameters, and second acquisition time information corresponding to the physical parameters of at least one PV device; compressing the electrical parameters, physical parameters, first acquisition time information, and second acquisition time information of the physical parameters to obtain a preprocessed data package for the PV device; inputting the preprocessed data package into a PV device health detection model for PV device health detection processing to obtain a PV device health detection result; and generating and outputting a PV device health early warning result based on the health detection result and a health early warning threshold range. This invention achieves dynamic early warning of the health status of PV equipment.
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