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Research on safety assessment of gas explosion hazard in heading face based on BP neural network

机译:基于BP神经网络的掘进工作面瓦斯爆炸危险安全评价研究。

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摘要

According to hazard theory and the principle of selecting assessment index, combining the causes and mechanism of gas explosion, established assessment index system of gas explosion in heading face. Based on the method of gray clustering, principle of BP neural network and characters of gas explosion in heading face, safety assessment procedural diagram of BP neural network on gas explosion hazard in heading face is designed. Meanwhile, concrete heading face of the gas explosion hazard is assessed by safety assessment method of BP neural network and grades of comprehensive safety assessment are got. The static and dynamic safety assessment can be achieved by this method. It is practical to improve safety management and to develop safety assessment technology in coalmine.
机译:根据危害理论和选择评价指标的原则,结合瓦斯爆炸的原因和机理,建立了掘进工作面瓦斯爆炸评价指标体系。基于灰色聚类方法,BP神经网络原理和掘进工作面瓦斯爆炸特征,设计了BP神经网络对掘进工作面瓦斯爆炸危险性的安全评估程序图。同时,利用BP神经网络的安全评估方法对瓦斯爆炸隐患的具体掘进工作面进行了评估,得出了综合安全评估的等级。通过这种方法可以实现静态和动态安全评估。改善煤矿的安全管理和发展安全评估技术是切实可行的。

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