用于大断面隧道的高能低损爆破控制系统及方法
By acquiring and analyzing drilling data from rock drilling rigs, and combining the Kuz-Rahm and Sadovsky formulas, refined control of the blasting process in large-section tunnels was achieved. This solved the problems of blasting effect deviation caused by drilling deviation and rock mass inhomogeneity, and improved the ability to predict and adjust blasting quality in real time.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA RAILWAY 17TH BUREAU GRP URBAN CONSTR CO LTD
- Filing Date
- 2025-12-24
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies for large-section tunnel blasting, borehole deviation and uneven distribution of rock mass joint development lead to large discrepancies between predicted blasting effects and actual conditions. This makes it difficult to achieve refined and personalized optimization of borehole parameters and charge quantity, and lacks real-time data-driven intelligent early warning and analysis support, resulting in potential problems often being discovered only after blasting.
By acquiring real-time operational data, borehole design data, and single-hole charge data of the rock drilling rig, we conduct borehole deviation analysis, quality impact analysis, and blasting situation prediction. We use the Kuz-Ram model and Sadovsky formula to predict block size and vibration effects, forming a comprehensive blasting quality impact prediction analysis, and promptly sending early warning information.
It improved the accuracy of the blasting effect prediction model, enabled real-time judgment and automatic early warning of borehole blasting quality, reduced the risk of large block rate and excessive vibration, and ensured the overall blasting quality.
Smart Images
Figure CN122015596B_ABST