煤矿采空区失稳灾害预测及综合防控技术
Prediction and comprehensive prevention and control technology for instability disasters in coal mine goafs
张旭 1张兆宏 1王英伟2
作者信息
- 1. 神东煤炭集团,内蒙古鄂尔多斯 017000
- 2. 北京斯林特科技有限公司,北京 100095
- 折叠
摘要
为减小煤矿采空区失稳灾害的发生概率、保证周边居民生命和财产安全、避免采空区失稳灾害带来大规模的生态破坏现象,对煤矿采空区失稳灾害进行预测和防控.利用粗糙集理论剔除冗余和缺陷信息,结合突变级数法得到失稳灾害预测指标体系,利用熵权理论获得地质、水文、环境、结构指标对应的灾害权重,引入置信度完善预测识别准则,完成失稳灾害预测,在此基础上,采用综合防控技术降低煤矿采空区自然灾害的发生频率.实验结果表明,所提方法的煤矿采空区失稳灾害预测结果精准度高,同时综合防控技术能够有效提高煤矿采空区的安全性.
Abstract
To reduce the probability of instability disasters in coal mine goafs,ensure the safety of surrounding residents'lives and prop-erty,and avoid large-scale ecological damage caused by instability disasters in goafs,prediction and prevention and control of instability disasters in coal mine goafs were carried out.By using rough set theory to eliminate redundant and defective information,combined with the catastrophe progression method,a prediction index system for unstable disasters was obtained.The entropy weight theory was used to obtain the corresponding disaster weights for geological,hydrological,environmental,and structural indicators.The confidence was intro-duced to improve the prediction and recognition criteria and complete the prediction of unstable disasters.On this basis,comprehensive prevention and control technology was used to reduce the frequency of natural disasters in coal mine goaf.The experimental results show that the proposed method has high accuracy in predicting instability disasters in coal mine goafs,and comprehensive prevention and con-trol technology can effectively improve the safety of coal mine goafs.
关键词
煤矿采空区/失稳灾害预测/综合防控技术/粗糙集/突变级数法Key words
coal mine goaf/prediction of instability disaster/comprehensive prevention and control technology/rough set/catastrophe progression method引用本文复制引用
基金项目
神东煤炭集团公司科技创新项目(HT2021-36)
出版年
2024
NETL
NSTL
万方数据