一种冲击地压防治措施智能优选设计方法
By constructing an information rule base for rockburst prevention and control and an intelligent optimization decision-making model, the optimal parameters for rockburst prevention measures were designed, solving the problems of insufficient pertinence and intelligence in rockburst prevention and control measures, and achieving safe and efficient mine production.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- UNIV OF SCI & TECH BEIJING
- Filing Date
- 2023-10-17
- Publication Date
- 2026-07-17
AI Technical Summary
Existing rockburst prevention measures are insufficient in terms of targeting and intelligence, which restricts safe and efficient mine production and lacks effective intelligent prevention and control solutions.
By collecting information from regulations, standards, expert experience, and historical anti-impact cases, preprocessing and rule extraction are performed to construct an optimal anti-impact measure rule base. Then, an intelligent optimization decision model is used to design the optimal anti-impact measure parameters. The final solution is formed by combining the differential parameter decision model, and the effect is verified and the parameters are optimized.
It has improved the level of intelligence in rockburst prevention and control, enhanced the pertinence and efficiency of the measures, and promoted safe and efficient production in mines.
Smart Images
Figure CN117473714B_ABST