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作 者:陶树银 范富泉 TAO Shuyin;FAN Fuquan(China Nerin Engineering Co.,Ltd.,Nanchang,Jiangxi 330038,China)
机构地区:[1]中国瑞林工程技术股份有限公司,江西南昌330038
出 处:《有色冶金设计与研究》2024年第5期9-12,40,共5页Nonferrous Metals Engineering & Research
基 金:江西省重点研发计划项目(项目编号:20212BBG71009)。
摘 要:以国内某大型铜硫地下矿山为例,针对该矿存在运输量大、装载点多、运输路线长、运输设备自动化不高等问题,结合深部扩建开拓运输系统、生产规模、中段巷道布置、矿废石装载方式等设计方案,详细论证了将电机车无人驾驶技术应用于该矿深部扩建工程的可行性。研究结果表明:通过对矿区深部中段高度、采场溜井设计、装载方式以及中段运输路径等关键参数进行优化调整后,应用电机车无人驾驶技术可显著提高中段运输效率和井下本质安全水平,达到减员提质、降本增效的效果。Taking a large-scale copper-sulfur underground mine in China as an example,in response to the existing problems such as large transport volume,a lot of loading points,long transport routes,and low automation of transport equipment in the mine,the paper discusses the feasibility of applying unmanned electric locomotives driving technology to the deep mine expansion project in detail in combination with the development&transportation system,production scale,layout of level drifts,and loading modes of ores/waste rocks in the deep expansion design proposal.The research results show that the application of unmanned electric locomotive driving technology can significantly improve the level transportation efficiency and the underground intrinsic safety level by optimizing and adjusting key parameters such as the height of the deep levels,design of the ore pass,loading mode,and level transportation paths,so as to achieve the effect of reducing the number of personnel,improving the quality,reducing the costs,and increasing the efficiency.
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