摘要
当矿井发生涌水事故时,有时会给煤矿造成巨大的经济损失和安全隐患.因此本文利用阜新某煤矿过去九年间的涌水量原始数据,采用灰色系统理论和方法建立了矿井涌水量趋势预测的灰色G(1,1)动态预测模型,它具有结构简单、计算量少、适应性强,可信度高等特点.实验预测结果表明:该模型能够对矿井涌水量进行精确预测,具有较好的可靠性和实用性.同时利用西门子S7-300系列PLC和组态软件对煤矿井下排水系统进行高效节能综合自动化控制,实现实时监测、自动运行、安全可靠,提高了生产效率,节约能源,降低成本.
Great financial losses and safety loophole will be caused by water gushing accident in coal mine. The vast original water inflow data come from one FuXin coal mine is used to establish dynamic the gray G（1,1） model for water inflow forecast with gray system theory and method. Its characteristics are simple structure, less calculated amount and good adaptability. The Siemens S7-300 series PLC and configuration software are used to finish high efficiency and energy saving integrated automation control in underground drainage system. It is safe and reliable and can be used to increase production efficiency, save energy and reduce cost. Log monitor and auto run are realized. The results show that the model can precisely predict water inflow with good reliability and instantaneity.
出处
《计算机系统应用》
2014年第3期203-207,共5页
Computer Systems & Applications
