Analysis of shovel fleet utilization in Sarcheshmeh Copper Mine using a smart monitoring platform

IF 1.6 Q2 ENGINEERING, MULTIDISCIPLINARY

International Journal of System Assurance Engineering and Management Pub Date : 2024-06-20 DOI:10.1007/s13198-024-02396-7

Mohammad Rezaei Dashtaki, Ali Jandaghi Jafari, Behzad Ghodrati, Seyed Hadi Hoseinie

{"title":"Analysis of shovel fleet utilization in Sarcheshmeh Copper Mine using a smart monitoring platform","authors":"Mohammad Rezaei Dashtaki, Ali Jandaghi Jafari, Behzad Ghodrati, Seyed Hadi Hoseinie","doi":"10.1007/s13198-024-02396-7","DOIUrl":null,"url":null,"abstract":"<p>Utilization of the shovel fleet as a capital-intensive and operationally important asset in open-pit mines is a key indicator for mine production analysis. This paper investigates shovel utilization in surface mining using a novel smart platform integrated with the shovel operating joystick. It utilizes a unique algorithm to identify and differentiate operational and non-operational time based on comparing real-time data and average loading cycle time. This data is then employed to calculate overall uptime and identify downtime periods. A field study was carried out on six electric cable shovels consisting of P&H 2100 and TZ WK-12, at Sarcheshmeh Copper Mine. The analysis revealed that the average utilization of the whole fleet is equal to 33%, ranging from 16 to 48%, which is dramatically lower than the mine expectations. The statistical analysis showed that in 10–13% of the operating time, the utilization is higher than 75%, which is a moderately acceptable level. Finally, according to the outcomes of the field study and the developed smart platform, it could be concluded that improvements in dispatching system accuracy, revising the grade blending strategies, increasing processing plant flexibility and improved operator training could enhance shovel fleet utilization and whole mine productivity.</p>","PeriodicalId":14463,"journal":{"name":"International Journal of System Assurance Engineering and Management","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of System Assurance Engineering and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s13198-024-02396-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}

引用次数: 0

Abstract

Utilization of the shovel fleet as a capital-intensive and operationally important asset in open-pit mines is a key indicator for mine production analysis. This paper investigates shovel utilization in surface mining using a novel smart platform integrated with the shovel operating joystick. It utilizes a unique algorithm to identify and differentiate operational and non-operational time based on comparing real-time data and average loading cycle time. This data is then employed to calculate overall uptime and identify downtime periods. A field study was carried out on six electric cable shovels consisting of P&H 2100 and TZ WK-12, at Sarcheshmeh Copper Mine. The analysis revealed that the average utilization of the whole fleet is equal to 33%, ranging from 16 to 48%, which is dramatically lower than the mine expectations. The statistical analysis showed that in 10–13% of the operating time, the utilization is higher than 75%, which is a moderately acceptable level. Finally, according to the outcomes of the field study and the developed smart platform, it could be concluded that improvements in dispatching system accuracy, revising the grade blending strategies, increasing processing plant flexibility and improved operator training could enhance shovel fleet utilization and whole mine productivity.

Abstract Image

查看原文本刊更多论文

利用智能监测平台分析 Sarcheshmeh 铜矿铲车队的利用率

作为露天矿中资本密集型的重要运营资产，铲车队的利用率是矿山生产分析的一个关键指标。本文利用与铲车操作杆集成的新型智能平台，对露天采矿中的铲车利用率进行了研究。它利用一种独特的算法，在比较实时数据和平均装载周期时间的基础上，识别并区分作业时间和非作业时间。然后利用这些数据计算总体正常运行时间，并确定停机时间段。对 Sarcheshmeh 铜矿的六台电缆电铲（包括 P&H 2100 和 TZ WK-12）进行了实地研究。分析表明，整个车队的平均利用率为 33%，从 16% 到 48% 不等，大大低于铜矿的预期。统计分析表明，在 10-13% 的运行时间内，利用率高于 75%，属于中等可接受水平。最后，根据实地考察结果和开发的智能平台，可以得出结论：提高调度系统的准确性、修改品位混合策略、增加选矿厂的灵活性和加强操作员培训可以提高铲运机队的利用率和整个矿山的生产率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

International Journal of System Assurance Engineering and Management ENGINEERING, MULTIDISCIPLINARY-

CiteScore

4.30

自引率

10.00%

发文量

252

期刊介绍： This Journal is established with a view to cater to increased awareness for high quality research in the seamless integration of heterogeneous technologies to formulate bankable solutions to the emergent complex engineering problems. Assurance engineering could be thought of as relating to the provision of higher confidence in the reliable and secure implementation of a system’s critical characteristic features through the espousal of a holistic approach by using a wide variety of cross disciplinary tools and techniques. Successful realization of sustainable and dependable products, systems and services involves an extensive adoption of Reliability, Quality, Safety and Risk related procedures for achieving high assurancelevels of performance; also pivotal are the management issues related to risk and uncertainty that govern the practical constraints encountered in their deployment. It is our intention to provide a platform for the modeling and analysis of large engineering systems, among the other aforementioned allied goals of systems assurance engineering, leading to the enforcement of performance enhancement measures. Achieving a fine balance between theory and practice is the primary focus. The Journal only publishes high quality papers that have passed the rigorous peer review procedure of an archival scientific Journal. The aim is an increasing number of submissions, wide circulation and a high impact factor.