爆破中的数字技术:DAVTECH 用于分析岩石粒度分布的智能自主硬件和软件套件

A.V. Dremin, V.S. Velikanov
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引用次数: 0

摘要

岩石爆破是岩石破碎的第一阶段,在矿物开采和加工过程链中起着决定性作用。将泥土堆中的粒度分布数据与爆破、岩石特性和炸药能量特性相关联的困难,决定了需要解决广泛的科学和实际问题。优化粒度分布("破碎")的现代方法基于考虑炸药的能量效率和爆破过程中爆破能量的可控分布。在采矿业数字技术的当前发展阶段,评估粒度分布的定性和定量特征是在通过分析各种技术手段获得的二维或三维图像来估算岩块大小的工具的帮助下确定的。文章作者介绍了一项基于数字技术的岩石粒度分布分析研究,该研究使用了俄罗斯 DAVTECH 公司开发的创新硬件和软件套件。在全面研究中,作者证实,由于使用完全自主的系统采样速度更快,该硬件和软件套件可确保爆破作业初步评估的满意结果,并提供可靠的信息,允许对大量测量数据进行可视化和比较。所研究的软硬件套件还可避免直接在泥堆上进行人工取样,从而避免在高风险区域工作,从而提高安全性。
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Digital technologies in blasting: DAVTECH's intelligent autonomous hardware-and-software suite for analyzing particle size distribution of rocks
Rock blasting is the first stage of rock crushing and it plays a defining part in the process chain of mining and processing of minerals. The difficulties in correlating the data on particle size distribution in the muck pile with the blast, the rock properties and the energy characteristics of explosives define the need to solve a wide range of scientific and practical tasks. Contemporary approaches to optimizing the particle size distribution ("fragmentation") are based on considering the energy efficiency of explosives and controlled distribution of the blast energy during the blast. At the current development stage of digital technologies in the mining industry, the qualitative and quantitative characteristics in assessing the particle size distribution are determined with the help of tools that estimate the size of the rock pieces by analyzing two- or three-dimensional images obtained by various technical means. The authors of the article present a study of the rock particle size distribution analysis based on digital technologies using a Russian innovative hardware and software suite developed by the DAVTECH Company. During a full-scale study the authors confirmed that the hardware and software suite ensures satisfactory results for a preliminary assessment of blasting operations due to faster sampling using a fully autonomous system, and it provides reliable information and allows visualizing and comparing the data of a large number of measurements. The studied hardware and software suite also secures improved safety by eliminating manual sampling directly at the muck pile, thus avoiding work in high-risk areas.
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