[an error occurred while processing this directive] [an error occurred while processing this directive] [an error occurred while processing this directive]
[an error occurred while processing this directive]

Gold Science and Technology >

2023 , Vol. 31 >Issue 4: 680 - 688

DOI: https://doi.org/10.11872/j.issn.1005-2518.2023.04.165

Mining Technology and Mine Management

Design and Application of Intelligent Dispatching and Production Management System for Underground Mining Trucks

  • Xin LIU , 1 ,
  • Liguan WANG 1, 2 ,
  • Zhaohui PENG 2 ,
  • Yun ZOU 2 ,
  • Fang LU , 3
Expand
  • 1. School of Resources and Safety Engineering, Central South University, Changsha 410083, Hunan, China
  • 2. Changsha Digital Mine Co. , Ltd. , Changsha 410083, Hunan, China
  • 3. Deportment of Business, Hunan Women’s University, Changsha 410004, Hunan, China

Received date: 2022-11-02

  Revised date: 2023-04-25

  Online published: 2023-09-20

Fold

Abstract

As a typical process industry，the mining of underground metal mines depends on the smooth operation of the ore transportation link，and the unmanned mine truck bears an indispensable and important responsibility in the ore transportation link，so the intelligent scheduling and management of the unmanned mine truck is the key to ensure the smooth production of the mine.There are few studies on the scheduling and management of unmanned mine trucks，and it is difficult to meet the new requirements brought by the increasing degree of unmanned mine trucks.Based on the analysis of the current situation of cluster intelligent scheduling strategy，scheduling business flow，and data integration system for unmanned mining trucks in a certain underground mine in Gansu province，an integrated system platform for intelligent decision-making，automatic scheduling，and process control serving unmanned mining trucks scheduling was proposed.In response to the transformation of unmanned mining trucks scheduling mode and two traffic control challenges，corresponding intelligent scheduling strategies were designed，and the overall architecture was designed.Some functional modules were designed，including scheduling console，real-time monitoring，scheduling visualization，and production management.The system platform has been successfully applied to the mine through the intelligent transformation of the mine truck，the construction of the intelligent dispatching system，and the development of the system.The application results show that the existing traffic control problems have been solved and the dispatching efficiency has been improved by 7.18% with the help of the intelligent dispatching system with the core of vehicle end scheduling algorithm，single-lane collision avoidance algorithm and merging truck algorithm.It provides a centralized and unified management and use platform for data，breaks the information island，and greatly improves the data utilization rate.Through vocational work split and process drive，the scheduling modular management is realized.The successful application of the platform has innovated the dispatching mode，supplemented the research in relevant fields，provides an important reference for the intelligent transformation of underground mines，and also provides reference experience for the development of cluster dispatching management system platform across equipment categories and production areas.

Key words： underground mine; unmanned mining truck; intelligent mine; intelligent dispatching; scheduling algorithm; integrated system

Cite this article

Xin LIU , Liguan WANG , Zhaohui PENG , Yun ZOU , Fang LU . Design and Application of Intelligent Dispatching and Production Management System for Underground Mining Trucks[J]. Gold Science and Technology, 2023 , 31(4) : 680 -688 . DOI: 10.11872/j.issn.1005-2518.2023.04.165

[an error occurred while processing this directive]

http://www.goldsci.ac.cn/article/2023/1005-2518/1005-2518-2023-31-4-680.shtml

References

Publishing order | Descend order by publishing year | Descend order by cited within
Bao Jiusheng， Liu Qin， Ge Shirong，et al，2020.Research status and development trend of intelligent technologies for mine transportation equipment ［J］.Journal of Intelligent Mine，1（1）：78-88.

Bi L， Wang Z， Wu Z，et al，2022.A new reform of mining production and management modes under industry 4.0：Cloud mining mode［J］.Applied Sciences，12（6）：1-14.

Department of Raw Materials Industry，2020.Interpretation of “Guideliness for the Construction of Intelligent Factory（Mine） in Nonferrous Metals Industry（Trial）”［J］.Energy Saving of Nonferrous Metallurgy，36（3）：1-4.

Gu Desheng，2013.Three themes for the future of mining industry［J］.China Economy and Informatization，（16）：18-19.

Hu Jian，2022.The design method for intelligent production management technology of MES manufacturing execution system［J］.Digital Technology and Application，40（9）：154-156.

Hua Zuxu，2021.Research on path tracking control for autonomous driving vehicles［J］.Equipment Manufacturing Technology，（6）：100-103.

Jiao Chengyao， Wang Yongqiang， Zhang Xingfu，et al，2022.Research on intelligent fully mechanized coal mining equipment system and its reliability［J］.Coal Engineering，54（2）：166-171.

Li Haoran， Zhang Li， Lu Xin，et al，2022.Update method of open-pit mine digital map based on vehicle-cloud collaboration［J］.Control and Information Technology，（5）：44-52.

Li Honggang， Wang Yunpeng， Liao Yaping，et al，2019.Perception and control method of driverless mining vehicle［J］.Journal of Beijing University of Aeronautics and Astronautics，45（11）：2335-2344.

Li Wenhong， Zheng Jianzhi，2021.Research on automatic scheduling strategy for downhole dispatching transportation［J］.Control Theory and Applications，38（6）：757-765.

Liu Wei， Xia Yujie， Jia Jun，et al，2023.MES production scheduling model based on master-slave chain and edge computing［J］.Journal of Zhengzhou University（Natural Science Edition），55（3）：14-21.

Meng Dejiang， Tian Bin， Cai Feng，et al，2021.Road slope real-time detection for unmanned truck in surface mine［J］.Acta Geodaetica et Cartographica Sinica，50（11）：1628-1638.

Patil S D， Mitra A， Tuggali Katarikonda K，et al，2021.Predictive asset availability optimization for underground trucks and loaders in the mining industry［J］.Opsearch，58（3）：751-772.

Rao Yunqing， Li Peigen， Li Shuxia，et al，2002.A review of the development of manufacturing execution systems（MES）［J］.Mechanical Science and Technology for Aerospace Engineering，（6）：1011-1016.

Tas M O， Yavuz H S， Yazici A，2020.High-definition map update framework for intelligent autonomous transfer vehicles［J］.Journal of Experimental and Theoretical Artificial Intelligence，33（5）：847-865.

Tian Chen， Ding Zhen， Li Zhenjiang，et al，2022.The overall design for unmanned transportation system in the mining area［J］.Journal of Mine Automation，48（9）：109-115.

Wang H， Liu L， Fei Y，et al，2016.A collaborative manufacturing execution system oriented to discrete manufacturing enterprises［J］.Concurrent Engineering，24（4）：330-343.

Wang Liguan， Chen Xin，2016.Advancing technologies for digital mine［J］.The Chinese Journal of Nonferrous Metals，26（8）：1693-1710.

Yuan X， Chen Y， Liu B，et al，2020.Advanced planning and scheduling system based on multi-resource closed-loop management［C］//IEEE Proceedings of International Conference on Industrial Engineering and Engineering Management.Singapore：IEEE.

Zhang L， Hu T， Min Y，et al，2020.A taxi order dispatch model based on combinatorial optimization ［C］//IEEE Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.Halifax：IEEE.

Wang J X， Lim M K， Zhan Y Z，et al，2020.An intelligent logistics service system for enhancing dispatching operations in an IoT environment ［J］.Transportation Research Part E：Logistics and Transportation Review，135：101886.

Zhang Lun，2021.Linear control of mine-used self-unloading trucks for driverless［J］.Industry and Mine Automation，47（Supp.1）：88-90.

Zhao Hailei， Zeng Chuigang， Wang Liming，et al，2021.Development and application of intelligent collision avoidance system for trackless transportation in long-distance single-lane tunnels［J］.Tunnel Construction，41（6）：956-963.

Zhao Wei， Li Wei， Huang Shuwei，et al，2018.Construction and practice of intelligent green mine for Sanshandao gold mine［J］.Gold Science and Technology，26（2）：219-227.

Zhou Bin， Tang Lijun， Liu Shisen，2022.Design of path planning for underground vehicle based on genetic algorithm ［J］.Coal Mine Machinery，43（1）：23-26.

鲍久圣，刘琴，葛世荣，等，2020.矿山运输装备智能化技术研究现状及发展趋势［J］.智能矿山，1（1）：78-88.

工信部原材料工业司，2020.《有色金属行业智能工厂（矿山）建设指南（试行）》解读［J］.有色冶金节能，36（3）：1-4.

古德生，2013.矿业未来三主题［J］.中国经济和信息化，（16）：18-19.

胡建，2022.智能化生产管理技术MES制造执行系统设计方法［J］.数字技术与应用，40（9）：154-156.

化祖旭，2021.自动驾驶汽车路径跟踪控制算法综述［J］.装备制造技术，（6）：100-103.

焦承尧，王永强，张幸福，等，2022.煤矿智能化综采装备系统及其可靠性分析［J］.煤炭工程，54（2）：166-171.

李浩然，张利，陆鑫，等，2022.基于车云协同的露天矿山数字地图更新方法［J］.控制与信息技术，（5）：44-52.

李宏刚，王云鹏，廖亚萍，等，2019.无人驾驶矿用运输车辆感知及控制方法［J］.北京航空航天大学学报，45（11）：2335-2344.

李文宏，郑建志，2021.井下调度运输的自动调度策略研究［J］.控制理论与应用，38（6）：757-765.

刘炜，夏玉洁，贾骏，等，2023.基于主从链和边缘计算的MES生产调度模型［J］.郑州大学学报（理学版），55（3）：14-21.

孟德将，田滨，蔡峰，等，2021.面向无人驾驶矿车的露天矿山道路坡度实时检测方法［J］.测绘学报，50（11）：1628-1638.

饶运清，李培根，李淑霞，等，2002.制造执行系统的现状与发展趋势［J］.机械科学与技术，（6）：1011-1016.

田臣，丁震，李镇江，等，2022.矿区无人运输系统总体设计［J］.工矿自动化，48（9）：109-115.

王李管，陈鑫，2016.数字矿山技术进展［J］.中国有色金属学报，26（8）：1693-1710.

张伦，2021.矿用自卸卡车无人驾驶线控改装［J］.工矿自动化，47（增1）：88-90.

赵海雷，曾垂刚，王利明，等，2021.长距离单车道隧道无轨运输智能避让系统研制及应用［J］.隧道建设（中英文），41（6）：956-963.

赵威，李威，黄树巍，等，2018.三山岛金矿智能绿色矿山建设实践［J］.黄金科学技术，26（2）：219-227.

周斌，唐丽均，刘世森，2022.基于遗传算法的井下车辆路径规划设计［J］.煤矿机械，43（1）：23-26.

Options
Outlines

/

〈 〉

[an error occurred while processing this directive]