基于人工智能的钢渣降温处理喷水量智能监测与控制系统
By combining multiple infrared cameras and binocular camera modules, panoramic infrared image stitching and three-dimensional volume reconstruction were achieved, solving the problem of precise water spray volume control in steel slag cooling, improving cooling efficiency and system adaptability, and reducing water waste.
Patent Information
- Application Number
- CN202610571380.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-28
- Publication Date
- 2026-07-17
- Estimated Expiration
- 2046-04-28
AI Technical Summary
Existing steel slag cooling technologies suffer from insufficient precision in controlling water spray volume, making them unsuitable for dynamic scenarios. This results in low cooling efficiency and water waste. Furthermore, the monitoring equipment has limited coverage, making it difficult to achieve real-time monitoring across the entire field of view.
Multiple infrared cameras and binocular camera modules are used to stitch panoramic infrared images and generate depth maps. Combined with image segmentation and three-dimensional volume reconstruction, a dynamic mapping relationship between steel slag temperature, volume and water spray volume is established. The optimal water spray volume is calculated through a linear regression model, and the water spray execution is adjusted in real time.
It achieves full-view temperature monitoring and precise water spray volume control, improves cooling efficiency, reduces water waste, and enhances the system's robustness and accuracy in complex industrial environments.
Smart Images
Figure CN122111103B_ABST
Abstract
Citation Information
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