Steel plate surface defect detection method and system based on multi-source data fusion

By using water stain pretreatment and multi-source data fusion technology, combined with data acquired by 3D and 2D cameras, and utilizing neural networks and cross-modal attention mechanisms, the problems of water stain interference and data collaborative utilization in steel plate surface defect detection were solved, achieving high-precision and high-efficiency detection results.

CN121482497AActive Publication Date: 2026-02-06ANHUI YANSHI INTELLIGENT TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202511836064.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-08
Publication Date
2026-02-06
Estimated Expiration
2045-12-08

AI Technical Summary

Technical Problem

Existing steel plate surface defect detection technologies are insufficient in terms of water stain interference, multi-source data collaborative utilization, and data preprocessing adaptability, making it difficult to balance detection accuracy and efficiency, especially in high-speed production line environments with high false detection and false negative rates.

Method used

By preprocessing water stains, fusing multi-source data, and adjusting adaptive preprocessing parameters, and by combining data collected from 3D laser line scanning cameras and 2D industrial line scanning cameras, a multi-source dataset is established. Texture and geometric features are extracted using a multi-data fusion neural network, and a structured defect report is generated through cross-modal attention mechanism fusion.

Benefits of technology

It achieves high-precision and robust steel plate surface defect detection, eliminates water stain interference, optimizes data quality, realizes automated feedback and data closed loop, and improves the practicality and sustainability of the detection system.

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Abstract

The invention provides a steel plate surface defect detection method and system based on multi-source data fusion, and relates to the technical field of steel production automatic detection.The method comprises the steps that water stain pretreatment is conducted on the surface of a steel plate, the residual humidity is reduced to be below a preset low humidity threshold value, and a dry surface is obtained; based on the dry surface, collecting multi-source data through a 3D laser line scanning camera and a 2D industrial line scanning camera which are synchronously triggered, obtaining line scanning laser point cloud data, a line scanning reflectivity gray level image, a line scanning depth gray level image and an area array reflectivity color image, and establishing a space corresponding relation among the multi-source data; and forming a multi-source data set based on the spatial correspondence among the multi-source data. According to the method, a high-precision and high-robustness steel plate surface defect detection system covering the whole detection process is constructed by eliminating water stain interference, unifying a multi-source data reference, optimizing data quality, accurately identifying defects and realizing automatic feedback and data closed loop.
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