| 基于BP神经网络的爆破参数优选 |
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| 引用本文： | 赵彬,王新民,史良贵,张钦礼,南世卿,苏明,宋爱东. 基于BP神经网络的爆破参数优选[J]. 矿冶工程, 2009, 29(4): 24-27 |
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| 作者姓名： | 赵彬 王新民 史良贵 张钦礼 南世卿 苏明 宋爱东 |
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| 作者单位： | 1. 中南大学 资源与安全工程学院, 湖南 长沙 410083; 2. 新桥矿业公司, 安徽 铜陵 244131; 3. 唐钢矿业有限公司石人沟铁矿, 河北 遵化 064200 |
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| 基金项目： | 国家科技支撑计划课题，2008年度中南大学米塔尔科技创新项目 |
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| 摘 要： | 为了得到最优的矿岩爆破参数, 提出以矿岩的容重、弹性模量、抗拉强度、抗压强度、摩擦角及粘结力为输入因子, 炮孔排距、孔底距及一次炸药单耗为输出因子, 并以国内爆破工艺类似、效果良好的矿山为样本来建立BP神经网络模型进行优选的思路。以石人沟铁矿上向扇形中深孔爆破参数选择为例, 优选出的参数适用于矿岩条件, 爆破效果良好。这种思路也可用于使用其它爆破工艺的矿山, 具有广阔的应用前景。
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| 关 键 词： | 爆破参数 影响因素 优化选择 非线性关系 BP神经网络 |
| 收稿时间： | 2009-03-22 |
Optimization of Blasting Parameters Based on Back-Propagation Neural Network |
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| ZHAO Bin,WANG Xin-min,SHI Liang-gui,ZHANG Qin-li,NAN Shi-qing,SU Ming,SONG Ai-dong. Optimization of Blasting Parameters Based on Back-Propagation Neural Network[J]. Mining and Metallurgical Engineering, 2009, 29(4): 24-27 |
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| Authors: | ZHAO Bin WANG Xin-min SHI Liang-gui ZHANG Qin-li NAN Shi-qing SU Ming SONG Ai-dong |
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| Affiliation: | 1. School of Resources and Safety Engineering, Central South University, Changsha 410083, Hunan, China; 2. Xinqiao Mining Corporation, Tongling 244131, Anhui, China; 3. Shirengou Iron Mine, Tanggang Mining Co Ltd Company, Zunhua 064200, Hebei, China |
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| Abstract: | In order to get optimal blasting parameters,it is proposed that taking a domestic mine with the similar blasting technology and good practice as a sample,a BP neural network model is established with the volume weight,modulus of elasticity,compressive strength,tensile strength,friction angle and bond strength as input factors,with the rows space,depth of holes and once consumption of dynamite as output factors.And taking the selection of blasting parameters for upward sector medium-length hole in the Shiren... |
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| Keywords: | blasting parameters influence factor optimal choice nonlinear relationship Back-Propagation neural network |
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