Modelling for degreasing the mining equipment downtime by optimizing blasting period at Erdenet surface mine

Author:

Kyelgyenbai Khavalbolot,Pysmennyi Serhii,Chukharev Serhii,Purev Batbolor,Jambaa Ijilmaa

Abstract

Erdenet copper-molybdenum deposit is the biggest one in the world and has a significant impact on Mongolian society and economy. Today LIEBHERR-994B hydraulic shovels from Germany, electric shovels including EKG-10 and EKG-15 from Russia operate for the mining works, and dump truck BelAZ - 75130 used for transportation. The causes of shovel downtime are classified as technical, technological, and organizational. During the study period, 41% of the total downtime of the excavator’s park was technical, 45% was technological, and 11% was organizational downtime. For shovels, 7% of technological downtime is due to blasting, and for dump trucks 8.7%. In open-pit mining, blasting is performed on a weekly basis, so the duration of this technological downtime can be considered almost constant. If the time between blasts or period of blasting can be arranged optimally, it will be possible to reduce mining equipment’s downtime due to blasting.

Publisher

EDP Sciences

Reference15 articles.

1. Nanzad Ts., Development of ways to reduce the cost of mining rock masses by quarry excavators. (Ulaanbaatar 2013)

2. Nanzad Ts. Excavator operation quality management. (Ulaanbaatar 2013)

3. McCalley Jim., Jiang Yong., Honavar Vasant, Pathak Jyotishman. and others. Automated Integration of Condition Monitoring with an Optimized Maintenance Scheduler for Circuit Breakers and Power Transformers. (PSERC Publication 2006)

4. Ji Q. and Sanford R. L. Autonomous excavation of fragmented rock using machine vision. (Society for Mining, Metallurgy & Exploration Inc., Littleton CO, U.S.A., 1993)

5. Takahashi H.,Kamata H.,Masuyama T., and Sarata S. Autonomous shoveling of rocks by using image vision system on LHD. International Conference on Mine Mechanization & Automation, 1.33–1.44, (1998)

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3