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为准确对采煤工作面煤与瓦斯突出危险性进行智能判识,在充分考虑采掘工程扰动因素对煤与瓦斯突出动态影响的基础上,选取瓦斯含量、瓦斯压力、采动应力、地质构造等因素作为采煤工作面煤与瓦斯突出的主要影响因素,结合矿山压力与瓦斯抽采理论,提出影响因素的动态计算方法;运用人工神经网络和多因素模式识别方法,建立煤与瓦斯突出的智能判识模型;应用VBA编程技术以Auto CAD为平台开发工作面煤与瓦斯突出危险性智能判识系统,实现工作面回采过程中各区域突出危险性的动态预测和分级管理。平顶山十二矿己15-17200工作面的现场实际应用表明,预测结果总体趋势与现场实际有较好的一致性。
In order to accurately identify the danger of coal and gas outburst in coalface, on the basis of fully considering the dynamic influence of disturbance factors on coal and gas outburst in coalface, gas content, gas pressure, mining stress, geological structure and so on As the main influencing factors of coal and gas outburst in coalface, combining with the theory of mine pressure and gas drainage, a dynamic calculation method of influencing factors is put forward. Using artificial neural network and multi-factor pattern recognition method to establish the intelligence of coal and gas outburst And the identification model. By using VBA programming technology, an automatic identification system of coal and gas outburst danger is developed by using Auto CAD as a platform to realize the dynamic prediction and hierarchical management of prominent danger in each area during the process of face mining. The actual application of working face in Pingdingshan No.12 Mine 15-17200 shows that the overall trend of prediction result is in good agreement with the actual situation in the field.