1. Civil & Resources Engineering School,University of Science and Technology Beijing,Beijing　 100083,China; 2. Beijing Anke Xingye Science and Technolo-gy Co. ,Ltd. ,Beijing　 100083,China; 3. Beijing Anke Xingye Research Institute of Mine Safety Co. ,Ltd,Beijing　 102299,China

为解决复合动力灾害危险性实时预警的难题,通过研究煤矿复合动力灾害发生机理和发生前兆的关联性,将复合动力灾害发生前兆分为共性和个性两类,并与监测参数类型相对应,提出了针对复合动力灾害危险性的临场预警、中期预警以及远期预警的关键监测参数。复合动力灾害危险性实时预警平台的构成主要包含监测硬件、分析软件及预警方法 3个部分,硬件主要指动力灾害监测系统及平台监控室硬件;软件主要指平台采集及分析软件;预警方法指标包括复合动力灾害危险性联合预警方法和单参数与多参数联合预警方法。在河南、山东等存在复合动力灾害的矿井进行了预警试验和基础研究,预警了矿井的复合动力灾害。同时,展望了复合动力灾害危险性实时预警平台的发展趋势。

To overcome the difficulty in real-time forecasting and prewarning of coal mine composite dynamic disasters, the paper investigated on the occurrence mechanism of composite dynamic disasters and the relevance to prewarning signals,by dividing prewarning signals into universality and individuality prewarnings and corresponding them to moni- toring parameters,through which key monitoring parameters of real-time,mid-time and long-term prewarning are pro- posed. Real-time prewarning platform of composite dynamic disasters is mainly composed of monitoring hardware,anal- ysis software and prewarning methods. Monitoring hardware mainly includes dynamic disaster monitoring system and platform monitoring room facilities;and analysis software refers to a platform’ s data collection and analysis software; and prewarning methods include multiple methods like composite disaster joint warning methods and single parameter and multi-parameter joint warning methods. Based on the above studies,basic research and forecasting and prewarning research on coal mines in Henan,Shangdong and other provinces,where composite dynamic disasters may happen,are taken,and coal mines’ composite dynamic disasters are forecasted. Besides,the paper also forecasts the development tendency of real-time forecasting and prewarning platform of composite dynamic disasters.

JIANG Fuxing,YANG Guangyu,WEI Quande,et al. Study and prospect on coal mine composite dynamic disaster real-time prewarning platform[J]. Journal of China Coal Society,2018,43(2):333-339.