基于云计算的煤矿冲击地压监控预警技术研究

Study on monitoring & control and early warning technology of mine pressure bump based on cloud computing

为研究冲击地压各监测参量之间的相互关系,提高冲击地压监测预警的准确性,通过对冲击地压发生机理、各监测手段的监测原理进行分析,运用大数据分析方法和云平台技术,开发了一种多参量联合监测的冲击地压监控预警平台。研究结果表明:该平台提高了各监测参量的兼容性和同步性,实现监测数据深度挖掘和远程分析;平台可对矿井进行分区分级预警,对回采工作面、掘进工作面、无明显采动扰动区域采用不同的监测方法和预警指标,提高预警的针对性和准确性;预警算法中各指标、各参量所占比重,均可根据冲击地压类型、影响因素、监测指标活跃程度等调整,提高预警算法对采掘和地质复杂环境的适应性,经10余个矿井现场应用表明,该系统能有效提高监测数据对安全生产的指导作用。

In order to study an interrelation between the each monitored and measured parameter of mine pressure bump and to improve the accuracy of mine pressure bump monitoring,measuring and early warning,with the analysis conducted on the mine pressure bump occurred mechanism and the monitoring and measuring principle of each monitoring and measuring means,the big data analysis method and the cloud platform technology were applied and a mine pressure bump monitoring,measuring and early warning platform with the multiparameters combined monitoring and measure was developed. The study results showed that the platform could improve the compatibility and synchronism of each monitoring and measured parameter and could realize the deep digging and remote analysis on the monitoring and measured data. The platform could make the block and grading early warning of the mine. The different monitoring and measuring method and the early warning index were applied to the coal mining face,mine roadway heading face and no obvious mining disturbance area in order to improve the pertinence and accuracy of the early warning. Each index and the specific gravity taken by each parameter in the early warning algorithm could be adjusted according to the mine pressure bump type,influence factor,monitoring and measuring index activity degree and others. The early warning algorithm could be improved to the adaptability of the mining and geological complicated environment.The site applications in over 10 mines showed that the system could effectively improve the effect of the monitoring and measured data to the mine safety production.