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Open-Pit Mine Truck Dispatching System Based on Dynamic Ore Blending Decisions

Author

Listed:
  • Jiang Yao

    (College of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China)

  • Zhiqiang Wang

    (Chinese Academy of Sciences Allwin Technology Co., Ltd., Shenyang 110179, China)

  • Hongbin Chen

    (Ansteel Mining Design and Research Institute Co., Ltd., Anshan 114001, China)

  • Weigang Hou

    (Ansteel Mining Design and Research Institute Co., Ltd., Anshan 114001, China)

  • Xiaomiao Zhang

    (Ansteel Mining Design and Research Institute Co., Ltd., Anshan 114001, China)

  • Xu Li

    (Chinese Academy of Sciences Allwin Technology Co., Ltd., Shenyang 110179, China)

  • Weixing Yuan

    (Chinese Academy of Sciences Allwin Technology Co., Ltd., Shenyang 110179, China)

Abstract

In the production process of open-pit mines, trucks are applied in the production process of open-pit mines for transporting ores and rocks. Most open-pit mines are equipped with dozens of trucks. It is important to plan the dispatch of trucks in the production process so that the transportation process can be the shortest in distance, the lowest in cost, and the most efficient. At present, many open-pit mining enterprises have realized the use of dispatching systems to schedule trucks to complete production tasks. However, these methods are mostly designed to deploy trucks to reduce production costs without considering the blending problem of the selected ores, and therefore it cannot meet the dual need of ore blending and dispatching. In order to solve the above technical problems and meet the actual needs of the current open-pit mine for ore blending and dispatching, this paper proposes an open-pit mine truck dispatching system based on dynamic ore blending decisions, supported by a 4G/5G wireless network, Beidou positioning, and Internet of Things technology, which can not only realize the optimized truck dispatching of open-pit mine production, but also meet the requirements of downstream concentrators for ore dressing grade. The system has been applied in the Ansteel Group QIDASHAN mine for one year. The proportion of trucks dispatched through the system reached more than 70%. The trucks’ capacity were upgraded from 3.79 to 4 million ton km per set per year, and the efficiency was improved by 5.5%. The limitations of the proposed system and method mainly include the possibility of inaccurate measurement of ore output and the lack of combination with unmanned driving.

Suggested Citation

  • Jiang Yao & Zhiqiang Wang & Hongbin Chen & Weigang Hou & Xiaomiao Zhang & Xu Li & Weixing Yuan, 2023. "Open-Pit Mine Truck Dispatching System Based on Dynamic Ore Blending Decisions," Sustainability, MDPI, vol. 15(4), pages 1-12, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3399-:d:1066639
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    References listed on IDEAS

    as
    1. W. Lambert & A. Newman, 2014. "Tailored Lagrangian Relaxation for the open pit block sequencing problem," Annals of Operations Research, Springer, vol. 222(1), pages 419-438, November.
    2. Lu Chen & Qinghua Gu & Rui Wang & Zhidong Feng & Chao Zhang, 2022. "Comprehensive Utilization of Mineral Resources: Optimal Blending of Polymetallic Ore Using an Improved NSGA-III Algorithm," Sustainability, MDPI, vol. 14(17), pages 1-19, August.
    3. Lamghari, Amina & Dimitrakopoulos, Roussos, 2012. "A diversified Tabu search approach for the open-pit mine production scheduling problem with metal uncertainty," European Journal of Operational Research, Elsevier, vol. 222(3), pages 642-652.
    4. Moreno, Eduardo & Rezakhah, Mojtaba & Newman, Alexandra & Ferreira, Felipe, 2017. "Linear models for stockpiling in open-pit mine production scheduling problems," European Journal of Operational Research, Elsevier, vol. 260(1), pages 212-221.
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    6. Beixin Xia & Tong Tian & Yan Gao & Mingyue Zhang & Yunfang Peng, 2022. "A Dynamic Dispatching Method for Large-Scale Interbay Material Handling Systems of Semiconductor FAB," Sustainability, MDPI, vol. 14(21), pages 1-19, October.
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