Establishment and application of coal gas prediction model based on EMS data
SHAN Liang1��LI Zhong-hu2��FENG Xiao-dong1
1. Measurement Management�� Baotou Steel Group��Baotou 014010��China 2. School of Information Engineering��Inner Mongolia University of Science and Technology��Baotou 014010��China
Abstract��The mixed gas could provide the calorific value required by the users. Moreover�� its economical efficiency was better than single coking coal. However�� the mixed coal energy use at present was mainly in open loop�� resulting in the disequilibrium of pipe network and huge waste of energy. Large amounts of data on energy consumption of mixed coal were provided by the EMS system. The prediction model based on BP neural network was established. The data operation was performed by Matlab. The actual engineering interface was developed on the basis of VB interface and Factory Talk View SE. The actual applications indicated that the prediction model system exhibited rapid convergence�� good stability and high precision.
�� �������һ�����С��. ����EMS���ݵ�ú��Ԥ��ģ�ͽ�����Ӧ��[J]. �й������ڿ���, 2016, 34(3): 6-10.
SHAN Liang��LI Zhong-hu��FENG Xiao-dong. Establishment and application of coal gas prediction model based on EMS data. Chinese Journal of Iron and Steel, 2016, 34(3): 6-10.
2016, Vol. 34 
