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Gold Science and Technology ›› 2021, Vol. 29 ›› Issue (1): 43-52.doi: 10.11872/j.issn.1005-2518.2021.01.165

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Research on Trajectory Planning of Electric Shovel in Open-pit Mine

Fanbo GONG1,2(),Lin BI1,2()   

  1. 1.School of Resources and Safety Engineering，Central South University，Changsha 410083，Hunan，China
    2.Digital Mine Research Center，Central South University，Changsha 410083，Hunan，China
  • Received:2020-09-16 Revised:2021-01-19 Online:2021-02-28 Published:2021-03-22
  • Contact: Lin BI E-mail:fanbo_gong@163.com;Mr.BiLin@163.com

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Abstract:

Intelligent mining is the mainstream direction of the future development of open-pit mines.Eelectric shovel is the main production equipment of open-pit mines，so the study of electric shovel autonomous shoveling technology is one of the core steps to realize the intelligent mining of open-pit mines in the future.During the autonomous shoveling process，the electric shovel uses its excavation mechanism，shovels the ore out of the mine and dumps the ore into a transport truck that the ore has been parked at the dump position.When the shovel has finished loading the ore shovel in the corresponding mining area of the current working position，it will slowly move through its moving mechanism to the next position point and continue to shovel the ore pile in the target area.Because of the huge volume of the electric shovel itself，the continuous work of the excavation mechanism and the moving mechanism consume a lot of electric energy. In order to improve the efficiency of the electric shovel in the process of autonomous shoveling，reduce the energy consumption of the electric shovel work，this paper proposed a method of optimizing the moving route of the shovel，by planning the electric shovel moving route and digging area，shortening the length of the electric shovel moving route.A method for optimizing the mobile route of electric shoveling was proposed.On the basis of the known electric shovel working area，in order to excavate all the ore piles in the working area and the electric shovel moves the least number of times，greedy algorithm was used to plan the set of job locations where the shovel moves the least number of times.By increasing the transition point and other ways to further optimize the electric shovel movement path and adjust the corresponding mining area planning，to form the optimal trajectory of the final electric shovel operation.Selecting the ore pile after blasting in an area in a mine aerial map as an electric shovel to be shoveled，based on the above method， the mobile route of electric shovel loading was optimized.The results show that the total distance of the generated electric shovel moving path is short，and the planned excavation area meets the actual production requirements，which proves that the method can provide guidance for the movement trajectory planning of the autonomous shovel.

Key words: open-pit mine, electric shovel, shoveling operation, trajectory planning, greedy algorithm, genetic algorithm

CLC Number: 

  • TD422

Fig.1

Flow chart for solving electric shovel operation position set"

Fig 2

Schematic diagram of electric shovel operation location and corresponding excavation area"

Fig.3

Flow chart of solving TSP problem based on genetic algorithm"

Fig.4

Schematic diagram of using genetic algorithm to plan TSP"

Fig.5

Schematic diagram of unreasonable excavation area of electric shovel"

Fig.6

Schematic diagram of electric shovel movement obstacles"

Fig.7

Electric shovel to be excavated area"

Fig.8

Electric shovel working position and shovel moving path"

Fig.9

Electric shovel moving path and excavation area"

Fig.10

Optimized electric shovel moving path and excavation area"

Fig.11

Comparison of partial graph of movement path before optimization（a）and after optimization（b）"

Al-shihabi S，Arafeh M，Barghash M，2015.An improved hybrid algorithm for the set covering problem［J］.Computers & Industrial Engineering，85：328-334.
Beasley P，McAree P R，2013.Design and construction of a scale robotic excavator work-cell to test automated excavation algorithms［C］//2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.Wollongong，Australia：IEEE.
Bradley D，Seward D W，1998.The development，control and operation of an autonomous robotic excavator［J］.Journal of Intelligent and Robotic Systems，21（1）：73-97.
Cannon H，Burnett S，Colburn S，al et，1999.Extended Earthmoving with an Autonomous Excavator［D］.Pittsburgh：Carnegine Mellon University.
Dunbabin M，Corke P，2006.Autonomous excavation using a rope shovel［J］.Journal of Field Robotics，23（6/7）：379-394.
Feng Fubao，2006.Set Cover Problem Research［D］.Jinan：Shandong University.
Li Junwei，2017.Research on Traveling Salesman Problem of Logistics Distribution［D］.Harbin：Harbin Institute of Te-chnology.
Ren Haonan，2008.Research on Genetic Algorithm for Solving Traveling Salesman Problem［D］.Jinan：Shandong University.
Sakaida Y，Chugo D，Yamamoto H，al et，2008.The analysis of excavator operation by skillful operator-extraction of common skills［C］//SICE Annual Conference.Chofu，Tokyo，Japan：IEEE.
Seo J，Lee S，Kim J，al et，2011.Task planner design for an automated excavation system［J］.Automation in Construction，20（7）：954-966.
Singh S，1994.Developing plans for robotic excavators［C］//Proceedings of the ASCE Conference on Robotics for Challenging Environments.Albuquerque，New Mexico：American Society of Civil Engineers.
Singh S，1995.Learning to predict resistive forces during robotic excavation［C］//Proceedings of 1995 IEEE International Conference on Robotics and Automation.Nagoya，Aichi，Japan：IEEE.
Singh S，Simmons R，1992.Task planning for robotic excavation［C］//Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems.Raleigh，N C，USA：IEEE：1284-1291.
Sun Wenbin，Wang Jiang，2016.An algorithm for TSP problem based on genetic algorithm and multi-optimization operation［J］.Geography and Geo-Information Science，32（4）：1-4.
Wang Yiyuan，2017.Research on Methods of Several Kinds of Set Covering Problems［D］.Changchun：Jilin University.
Winstanley G，Usher K，Corke P，al et，2007.Dragline automation-A dedade of development-Shared autonomy for improving mining equipment productivity［J］.IEEE Robotics & Automation Magazine，14（3）：52-64.
Yao Guohui，2009.Studies on Algorithms for Combinatorial Optimization Problems［D］.Jinan：Shandong University.
Yu Yingying，Chen Yan，Li Taoying，2014.Improved genetic algorithm for solving TSP［J］.Control and Decision，29（8）：1483-1488.
Yuan Hao，2017.Research and Application of Traveling Salesman Problem［D］.Nanjing：Nanjing University of Posts and Telecommunications.
Yue Pengqi，2019.Exploration of solving TSP problem based on genetic algorithms［J］.Modern Information Technology，3（4）：10-12.
冯富宝，2006.集合覆盖问题研究［D］.济南：山东大学.
李俊纬，2017.物流配送TSP问题的研究［D］.哈尔滨：哈尔滨工业大学.
任昊南，2008.用遗传算法求解TSP问题［D］.济南：山东大学.
孙文彬，王江，2016.一种基于遗传算法的TSP问题多策略优化求解方法［J］.地理与地理信息科学，32（4）：1-4.
王艺源，2017.若干集合覆盖问题的方法研究［D］.长春：吉林大学.
姚国辉，2009.若干组合优化问题的算法研究［D］.济南：山东大学.
于莹莹，陈燕，李桃迎，2014.改进的遗传算法求解旅行商问题［J］.控制与决策，29（8）：1483-1488.
袁豪，2017.旅行商问题的研究与应用［D］.南京：南京邮电大学.
岳鹏齐，2019.基于遗传算法解决TSP问题探索［J］.现代信息科技，3（4）：10-12.
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[10] . [J]. J4, 1989, 0(6): 20 -21 .

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