一种光伏面板异物检测方法
By extracting the grid line features of photovoltaic panels and constructing joint state features from real-time light intensity data, and combining them with clean-state dynamic manifold data, the accuracy and stability issues of uniform dust accumulation detection on the surface of photovoltaic panels were solved, achieving efficient detection under different illumination conditions.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- XIAN SIYUAN UNIV
- Filing Date
- 2026-05-09
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to accurately detect uniform dust and other foreign matter on the surface of photovoltaic panels under different lighting conditions, and changes in ambient light affect the stability and consistency of the detection results.
By extracting photovoltaic panel grid line feature data, performing image degradation analysis, generating sharpness evaluation factors, and constructing joint state features by combining real-time ambient light intensity data, a benchmark mapping boundary is established using preset clean-state dynamic manifold data, and feature deviation is calculated to determine the dust accumulation state.
The detection method improves the applicability, accuracy, and robustness under different lighting conditions, reduces the impact of changes in ambient light on the detection results, and achieves stable and accurate determination of foreign matter status on photovoltaic panels.
Smart Images
Figure CN122178839B_ABST