A weak light equipment inspection method based on adaptive multi-spectrum fusion

By deploying a multispectral acquisition unit in the wind tunnel equipment and performing adaptive decomposition and joint sensing processing, the problem of wind tunnel equipment inspection in low-light environments has been solved, enabling precise anomaly detection and location on the blade surface, and improving inspection efficiency and accuracy.

CN121904041BActive Publication Date: 2026-06-16SICHUAN PROVINCIAL IND EQUIP INSTALLATION CO
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SICHUAN PROVINCIAL IND EQUIP INSTALLATION CO
Filing Date
2026-03-24
Publication Date
2026-06-16

AI Technical Summary

⚠Technical Problem

In the dark or poorly lit environment of wind tunnel equipment, traditional equipment inspection methods are unable to obtain clear and complete images of the blade surface, making it impossible to accurately determine whether there are abnormalities such as loosening on the blade surface. Furthermore, existing inspection methods lack effective fusion of multispectral data, making it impossible to comprehensively obtain various information about the blade surface.

⚗Method used

By deploying a multispectral acquisition unit in a low-light environment to acquire visible light, near-infrared, and thermal infrared spectral image sequences of the equipment surface, adaptive decomposition processing is performed to decompose the images into spatial structure, spectral material, and thermal radiation dominant component layers. A pre-built spatial-spectral joint sensing and reconstruction network is used to perform cross-component feature association and enhancement processing to generate a multispectral joint feature tensor. Finally, a spatial distribution map of the equipment's abnormal state is generated, and the unmanned inspection aircraft is triggered to perform differentiated spectral mode verification.

🎯Benefits of technology

It enables precise inspection of wind tunnel equipment blade surfaces in low-light environments, automatically identifies and locates various abnormalities, and improves inspection efficiency and accuracy.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application provides a weak light equipment inspection method based on adaptive multispectral fusion, and relates to the technical field of equipment inspection. First, a multispectral acquisition unit is used to obtain a plurality of spectral image sequences of a device surface area and combine them into an initial multispectral acquisition data set. Then, the initial multispectral acquisition data set is adaptively decomposed and recombined into a multispectral component data set after decomposition. Next, a space-spectrum joint perception and reconstruction network is used to associate and enhance cross-component features, generating an enhanced multispectral joint feature tensor. Based on the enhanced multispectral joint feature tensor, a device abnormal state space distribution map is generated. Finally, a composite inspection task instruction is generated according to the device abnormal state space distribution map, triggering a unmanned inspection aircraft to perform a differentiated review shooting operation. The application improves the efficiency and accuracy of weak light equipment inspection.
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