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The safety monitoring of coal mine drainage facilities based on BP neural network

机译:基于BP神经网络的煤矿排水设备安全监控。

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Coal mine water inrush is a very difficult problems which should be solved more earlier, and it have long plagued safe production of coal mines. The reliable operation of coal mine drainage systems plays a vital role in safe production of coal mines. Based on the non linear relationship of the state parameters of the coal mine drainage facilities, we propose a safety monitoring method based on BP neural network in this paper. This method can get the results of monitoring quickly and accurately,and provide Scientific decision-making information for Coal Mine Safety management in order to avoid accidents. Through the validation of examples, the method is objective, validity and accuracy. It can provide a more scientific and reliable theoretical basis for the monitoring and warning of the coal mine drainage facilities.
机译:煤矿突水是一个非常棘手的问题,应早日解决,长期以来一直困扰着煤矿的安全生产。煤矿排水系统的可靠运行对于煤矿的安全生产起着至关重要的作用。基于煤矿排水设施状态参数的非线性关系,提出了一种基于BP神经网络的安全监控方法。该方法可以快速准确地得到监测结果,为煤矿安全管理提供科学的决策信息,以免发生事故。通过实例验证,该方法是客观,有效,准确的。为煤矿排水设施的监测预警提供了更加科学可靠的理论依据。

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