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机构地区:[1]辽宁工程技术大学资源与环境工程学院,辽宁阜新123000
出 处:《辽宁工程技术大学学报(自然科学版)》2008年第3期337-339,共3页Journal of Liaoning Technical University (Natural Science)
基 金:国家“973”基金资助项目(2005cb221501);国家“十五”科技攻关基金资助项目(2001BA803B0404);辽宁省教育厅基金资助项目(20060372)
摘 要:为了查明矿井地质构造、应力场等突出影响因素与突出危险性之间的内在联系,在GIS技术支持下建立多因素模式识别模型,综合应用VB、MATLAB完成煤与瓦斯突出危险性预测可视化程序的开发。用多因素模式识别概率预测方法进行煤与瓦斯突出危险性的区域预测,划分潘一矿井田的煤与瓦斯突出危险区、突出威胁区和无突出危险区,对煤与瓦斯突出危险性做出评估。实现煤与瓦斯突出预测的可视化管理,提高瓦斯灾害预测的准确性。In order to find out the relation between mine geology structure and stress field etc. affecting coal and gas outburst, with the multi-factor pattern recognition model established by GIS, VB and MATLAB are used to design and the visualization system of coal and gas outburst prediction is completed. They are applied to predict coal and gas outburst regional hazard, by means of which the Panyi mining area was then divided into coal and gas outburst dangerous area, threatened area and safety area, to assess and predict the danger of coal and gas outburst. The visualization managements of coal and gas outburst prediction are achieved, then the accuracy of gas of coal and gas outburst prediction is improved.
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