【摘要】 本文提出了基于Web的煤矿安全实时监测系统。采集矿井实时数据,通过网络以实时数据、实时曲线、历史曲线、报警纪录和图形显示的形式进行发布,提供实时监测信息、报警信息、综合查询、数据分析等功能,方便管理人员进行决策调度。本文提出了基于BP神经网络的瓦斯预警的建模方法。更多还原

【Abstract】 The paper proposes a real-time monitoring system for the safety of coal mine based on Web.After collecting the coal mine real-time data,the system sends information by means of real-time data,real-time curves,history curves,alarm report as well as dynamic chart.The system real-time provides monitoring information,alarm information,synthesized search and data analysis to ensure exact decision-making.The paper puts farward a Gas-alert modeling method based on the BP neural network.更多还原