复杂构造条件煤岩动力地质灾害多元融合智能预警平台研究

Study on Multi-fusion Intelligent Early-warning Platform of Coal-rock Dynamic Geological Hazards in Complex Structural Conditions

针对煤矿煤岩动力灾害日趋复杂及危险增加趋势,基于D-S证据理论和矿井井声电动力灾害监测数据,选取地震震级-频度关系中的b值和时间波动梯度作为证据体指标,建立Dempster合成法则的矿井煤岩动力灾害监测数据进行融合算法。依据算法,构建了人-机-环境多方面融合下的煤岩动力灾害预警模型,建了煤岩动力灾害多元融合智能预警平台,实现煤矿煤岩动力灾害危险性提前预警功能,为工作面的安全生产提供保障。

Based on D-S evidence theory and monitoring data of mine acoustic-electric power disaster,this paper analyzes the increasing complexity and danger of coal-rock dynamic disaster in coal mine,taking the b-value and the time fluctuation gradient in the relation between magnitude and frequency of earthquake as the indexes of the body of evidence,a fusion algorithm based on Dempster Synthesis Rule is established for the monitoring data of coal and rock dynamic disasters in mines.According to the algorithm,the earlywarning model of coal-rock dynamic disaster under the multi-fusion of man-machine-environment is built,and the multi-fusion intelligent early-warning platform of coal-rock dynamic disaster is built,to realize the function of early warning of coal-rock dynamic hazard in coal mine.It provided guarantee for safety production of working face.