摘要
煤矿排水设备的可靠运行对煤矿安全生产起着至关重要的作用。基于排水设备状态参数的非线性关系,提出了一种基于BP神经网络的煤矿排水设备监测方法,克服了传统方法中确定权值的难题,能快速、准确地得到监测结果,为煤矿企业安全管理提供科学的决策信息,为决策者提供多角度的管理依据,从而避免事故的发生。经过实例的验证,结果表明该方法具有客观性、有效性,可以为煤矿排水设备监测预警提供更为科学可靠的理论依据。
Working reliably in colliery drainage produces a very important function to the coal mine safety production.According to the state parameter＇s misalignment relations that based on the drainage,a method in monitoring the coal mine drainage that based on the BP nueral network has proposed in this article.It can overcome the traditional method to determine weight problems,for it can obtain the monitoring result fast and accurately.Through it can supply the scientific decision information to the colliery enterprise＇s safety management,provide decision-makers based on the management of multi-angle and avoid the accident＇s occurrence at the same time.After the example＇s confirmation,the consequence of this method proved that it has objectivity and validity.With the help of this method we can provide more scientific and realiable theory basis for colliery drainage in early monitoring and warning.
出处
《计算机技术与发展》
2010年第8期250-252,F0003,共4页
Computer Technology and Development
基金
山西省科技攻关项目(20080321012-01)
关键词
煤矿设备监测
BP神经网路
安全预警
colliery equipment monitoring
BP neural network
safety warning
