BP neural network model on the forecast for blasting vibrating parameters in the course of hole-by-hole detonation  

作　　者：DUAN Bao-fu LI Jun-meng ZHANG Meng 

机构地区：[1]College of Civil Engineering and Architecture, Shandong University of Science and Technology, Qingdao 266510, China [2]Civil Engineering Laboratory of Disaster Prevention and Mitigation, Shandong University of Science and Technology,Qingdao 266510, China

出　　处：《Journal of Coal Science & Engineering(China)》2010年第3期249-255,共7页煤炭学报（英文版）

基　　金：Supported by the National Natural Science Foundation of China(50778107)

摘　　要：According to the neural network theory, combined with the technical characteristicsof the hole-by-hole detonation technology, a BP network model on the forecast forblasting vibration parameters was built.Taking the deep hole stair demolition in a mine asan experimental object and using the raw information and the blasting vibration monitoringdata collected in the process of the hole-by-hole detonation, carried out some training andapplication work on the established BP network model through the Matlab software, andachieved good effect.Also computed the vibration parameter with the empirical formulaand the BP network model separately.After comparing with the actual value, it is discoveredthat the forecasting result by the BP network model is close to the actual value.According to the neural network theory, combined with the technical character- istics of the hole-by-hole detonation technology, a BP network model on the forecast for blasting vibration parameters was built. Taking the deep hole stair demolition in a mine as an experimental object and using the raw information and the blasting vibration monitoring data collected in the process of the hole-by-hole detonation, carried out some training and application work on the established BP network model through the Matlab software, and achieved good effect. Also computed the vibration parameter with the empirical formula and the BP network model separately. After comparing with the actual value, it is discov- ered that the forecasting result by the BP network model is close to the actual value.

关 键 词：blasting vibration BP neural network detonation hole-by-hole prediction model 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TD235.12[自动化与计算机技术—控制科学与工程]