| 力 -电 -热多参量监测深井动力灾害的试验分析 |
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| 引用本文： | 李祁,王皓,潘一山,徐连满,马箫.力 -电 -热多参量监测深井动力灾害的试验分析[J].中国地质灾害与防治学报,2014(2):70-76. |
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| 作者姓名： | 李祁 王皓 潘一山 徐连满 马箫 |
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| 作者单位： | [1]辽宁工程技术大学理学院,辽宁阜新123000 [2]辽宁工程技术大学冲击地压研究院,辽宁阜新123000 |
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| 基金项目： | 国家重点基础研究发展规划（973）项目（2010CB226803）;国家自然科学基金面上项目（11172121）;国家自然科学基金面上项目（11072102） |
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| 摘 要： | 采掘活动引起工作面前方煤体应力场重新分布、煤体破裂、瓦斯运移等活动，煤体内部内能，势能等能量不断发生转换，并向外辐射电荷、电磁等能量，致使煤体应力，煤体温度发生变化。使用煤体应力、煤体电荷和煤体温度多参量监测技术，对工作面前方煤体压力、煤体电荷和煤体温度进行持续监测，可判断煤体应力变化、瓦斯运移及煤体破裂状况等，从而确定煤层动力灾害危险程度。通过现场试验研究表明：含瓦斯煤层煤体应力突变时，煤体辐射电荷量增加、煤体温度降低，应力平稳变化阶段，煤体温度、煤体电荷信号基本稳定不变。因此，可利用对煤体应力、煤体温度和煤体电荷的监测结果，判断煤层动力灾害危险性，并且煤体应力、煤体温度、煤体电荷监测技术可相互补充验证，增加动力灾害预测可靠度。力-电-热多参量预测技术可提高煤矿动力灾害预测准确性，为煤矿安全生产提供可靠保障。
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| 关 键 词： | 动力灾害 煤体应力 煤体温度 煤体电荷 |
Experimental study on deep well dynamic disaster prediction of force-electricity-heat multi-parameter monitoring technology |
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| LI Qi,WANG Hao,PAN Yi-shan,XU Lian-man,MA Xiao.Experimental study on deep well dynamic disaster prediction of force-electricity-heat multi-parameter monitoring technology[J].The Chinese Journal of Geological Hazard and Control,2014(2):70-76. |
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| Authors: | LI Qi WANG Hao PAN Yi-shan XU Lian-man MA Xiao |
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| Institution: | 1. College of Science, Liaoning Technical University, Fuxin 123000, China; 2. School of Mechanics and Engineering, Liaoning Technical University, Fuxin 123000, China) |
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| Abstract: | Mining activities cause coal stress in front of the working face to redistribute, coal fracture , gas migrationand so on, then the internal energy and potential energy of the inner coal change continual, and radiating the charge,electromagnetic energy outwards lead to coal stress and coal temperature changing. Using coal stress, coal charge andcoal temperature multi-parameter monitoring technology monitor coal pressure, coal charge and coal temperaturecontinually, which may judge the situation of coal stress changing, gas migration and so on, and make sure the risklevel of coal seam dynamic disaster. Field trial research show：when gas-filled coal stress mutate, the charge of thecoal radiation increase, coal temperature decrease, and at the stage of stess stationary changing coal temperature andcoal charge signal are basically stable. Therefore, the results of monitoring coal stess, coal temperature, coal charge canbe used to judging the risk of coal seam dynamic disaster, and coal stess, coal temperature, coal charge monitoringtechnology may supply and verify mutually, increasing reliability of the dynamic disaster prediction. Force-electricity-heat multi-parameter prediction technology may improve the accuracy of the dynamic disaster prediction, providingreliable guarantee for safe production in coal mines. |
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| Keywords: | dynamic disaster coal stress coal temperature coal charge |
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