摘要
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 monitoring parameters,through which key monitoring parameters of real-time,mid-time and long-term prewarning are proposed. Real-time prewarning platform of composite dynamic disasters is mainly composed of monitoring hardware,analysis 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 developmenttendency of real-time forecasting and prewarning platform of composite dynamic disasters.
作者
姜福兴
杨光宇
魏全德
王存文
曲效成
朱斯陶
JIANG Fuxing;YANG Guangyu;WEI Quande;WANG Cunwen;QU Xiaocheng;ZHU Sitao(Civil ＆ Resources Engineering School, University of Science and Technology Beijing, Beijing 100083, China;Beijing Anke Xingye Science and Technolo- gy Co. ,Ltd. ,Beijing 100083, China;Beijing Anke Xingye Research Institute of Mine Safety Co. ,Ltd,Beijing 102299, China)
出处
《煤炭学报》
EI
CAS
CSCD
北大核心
2018年第2期333-339,共7页
Journal of China Coal Society
基金
国家重点研发计划资助项目(2016YFC0801408)
国家自然科学基金资助项目(51674014)
国家自然科学基金重点资助项目(51634001)
关键词
复合动力灾害
危险性预警
实时预警平台
composite dynamic disaster
risk prewarning
real-time forecasting and prewarning platform
