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The Optimization of the Row Height in Medium-Length Hole Blasting Design Based on Genetic lgorithms

机译:基于遗传LGITHMS的中长孔喷射设计行高度的优化

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The row height in medium-length hole blasting is an important index that affects blasting effect and economic benefit The height is commonly determined by physical mechanics of ore rock and performance of rock drilling machine. This paper will discuss the Beiminghe iron ore of Hanxing metallurgical mine administration as a case, research through the relation of holes' length and height of the row, the fitness function of actual mining profit and optimization of genetic algorithms. It can be solved by genetic algorithms establishing optimal mathematical model according to the principle of the most profitable of actual mining. The reasonable row height in medium length holes blasting will be determined from an economic perspective. The results show that for a single ore block, the most optimal value of the height of hole-row is 26 meters. It is 8 meters higher than the current height of hole-row. This conclusion is coinciding with the development trend to the big structural parameters of the nonpillar sublevel caving in China.
机译:中长孔喷射的行高度是影响爆破效应的重要指标,并且经济效益高度是通过矿石岩石和凿岩机的性能的体力学确定的高度。本文将讨论汉兴冶金矿山管理的北美铁矿矿作为案例,通过孔的长度和高度的关系,实际采矿利润的健身功能和遗传算法的优化。它可以通过遗传算法来根据实际采矿最盈利的原理建立最佳数学模型来解决。中长孔中的合理行高度将从经济角度来确定。结果表明,对于单个矿块,孔排高度的最佳值为26米。它比电流高度高8米。该结论与中国非宝石卸绒洞的大结构参数的发展趋势恰逢。

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