一种基于红外成像的隧道爆破块度统计方法
By using dual-band infrared imaging and debris trajectory modeling, combined with thermodynamic-morphological correlation analysis, accurate and real-time statistics of tunnel blasting block size were achieved. This solved the accuracy and safety issues of traditional methods in complex environments and provided a scientific basis for parameter adjustment.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- INST OF ROCK & SOIL MECHANICS CHINESE ACAD OF SCI
- Filing Date
- 2025-08-08
- Publication Date
- 2026-07-17
AI Technical Summary
In tunnel blasting operations, traditional visible light imaging and manual sampling methods are difficult to accurately and in real time estimate the size of blasted fragments in complex environments. Existing infrared technology has failed to effectively combine fragment kinematic models, resulting in insufficient accuracy and safety in fragment size analysis.
By employing dual-band infrared imaging technology, combined with debris trajectory modeling, thermodynamic-morphological correlation analysis, and block size classification statistics, the system enhances debris edge identification by penetrating smoke with long-wave infrared and sensitive high-temperature targets with mid-wave infrared. By combining inertial motion equations and air resistance models, it achieves non-contact debris mass and volume measurement.
It enables accurate and real-time statistics of the size of blasted blocks in harsh environments, improves the image signal-to-noise ratio and target segmentation accuracy, avoids the safety risks and errors of manual sampling, and provides a scientific basis for parameter adjustment.
Smart Images
Figure CN120912583B_ABST