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首页> 外文期刊>Przeglad Gorniczy >Functional regression models in rock breaking methods by means of explosives
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Functional regression models in rock breaking methods by means of explosives

机译:炸药破岩方法的功能回归模型

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摘要

Results of the research on getting technology in rock raw materials opencast mines, including main groups of raw materials, are presented. Basing on the realisation cycle measurements identification of the essential characteristics, determining the deposit mining technology, is carried out. The analysis determining statistical parameters for the particular kinds of rock in the form of: average value, median, modal value and conventional variation as well as interval limits of maximal and minimal realisations has been carried out. The general results are given in the from of empirical resolution of density and distribution function of the main parameters, particulary of web, stemming and unit explosive charge for the three main groups of raw materials: limestone, granite and basalt. Functional two-dimensional and multidimensional regression models, used for optimisation of the primary blasting methods for the particular groups of raw materials have been determined.
机译:介绍了包括主要原料在内的岩石原料露天矿获得技术的研究结果。基于实现周期测量的本质特征识别,确定了矿床开采技术。已经进行了确定特定种类岩石的统计参数的分析,形式为:平均值,中位数,模态值和常规变化以及最大和最小实现的区间限制。从主要参数的密度和分布函数的经验解析得出的一般结果,主要是三类主要原料(石灰石,花岗岩和玄武岩)的幅材,网状材料和干炸药的单位爆炸性。已经确定了功能二维和多维回归模型,用于优化特定组原料的主要喷砂方法。

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