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针对目前矿山动力灾害监测预警设备预测准确率低、适用性较差的现状,利用自主研制的电荷传感器,开发深井动力灾害电荷监测系统。用它克服以往动力灾害前兆信息难以识别、提取以及干扰强烈难以排除等障碍。将深井动力灾害电荷监测系统应用于平顶山八矿,初步实现了信号采集数字化、传输网络化、分析智能化、结果归档化的系统模式。监测数据分析结果表明:瓦斯运移和煤体应力对工作面煤体电荷影响较大,随着工作面的推进瓦斯运移过程煤体电荷变异系数介于10%~40%,应力集中过程煤体电荷变异系数小于15%,电荷变异系数可以作为评价发生瓦斯突出与冲击危险指标。
Aiming at the current situation that the predictive accuracy of the monitoring and warning device for mine dynamic disasters is low and its applicability is poor, the self-developed charge sensor is used to develop the charge monitoring system for deep-well dynamic disasters. Use it to overcome obstacles such as difficult to identify, extract and interfere with strong and difficult to exclude precursor information of dynamic disaster in the past. The deep well dynamic disaster charge monitoring system is applied to Pingdingshan No.8 Mine, and the system mode of signal acquisition and digitization, transmission network, analysis intelligence and result archiving has been initially realized. The result of monitoring data analysis shows that the influence of gas migration and coal stress on the charge of coal in the working face is great. The variation coefficient of charge of coal in the gas migration process is between 10% and 40% The coefficient of variation of body charge is less than 15%. The coefficient of charge variation can be used as an index to evaluate the gas outburst and impact hazard.