工矿自动化2011，Vol.37Issue(11)：10-13,4.DOI:32-1627/TP.20111102.1538.004
基于BP神经网络的煤矿水泵系统控制方法研究
Research of Control Method of Coal Mine Pump System Based on BP Neural Network
摘要
Abstract
In coal mine drainage system, the most common method to determine pump start or stop is according to several key factors or experience to directly determine. The method lacks theoretical basis and often needs to modify the arrangement according to site conditions. For the problem, the paper presented a pump control method based on BP neural network, which selects four key parameters including water level, water inflow, time period and cumulative running time to establish a network, and gets a stable network model through continuously adjusting and optimizing the network. The model is then used to determine start and stop time of pump, so as to achieve reasonable arrangement of multiple pumps. Matlab simulation results showed that it is reasonable and effective to control pump system by BP neural network, and the method has a positive significance to achieve safe production and energy saving of coal mine.关键词
煤矿/水泵控制/BP神经网络Key words
coal mine/pump control/BP neural network分类
矿业与冶金引用本文复制引用
蒋伟,王小岑..基于BP神经网络的煤矿水泵系统控制方法研究[J].工矿自动化,2011,37(11):10-13,4.基金项目
天地科技股份有限公司科技发展基金项目(TZ-JJ-2010C2-3) （TZ-JJ-2010C2-3）
