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黄金科学技术 ›› 2023, Vol. 31 ›› Issue (1): 133-143.doi: 10.11872/j.issn.1005-2518.2023.01.106

• 采选技术与矿山管理 • 上一篇    下一篇

地下无人矿卡智能调度系统框架及应用研究

孙越1(),邹昀2(),康文宝1,王黎明3,贾智1   

  1. 1.金川集团股份有限公司,甘肃 金昌 737100
    2.长沙迪迈数码科技股份有限公司,湖南 长沙 410006
    3.中南大学资源与安全工程学院,湖南 长沙 410083
  • 收稿日期:2022-08-24 修回日期:2022-10-11 出版日期:2023-02-28 发布日期:2023-03-27
  • 通讯作者: 邹昀 E-mail:1ow_89npbb7iqd@dingtalk.com;1114932112@qq.com
  • 作者简介:孙越(1970-),男,甘肃庆阳人,副总工程师,从事自动化设备研究工作。1ow_89npbb7iqd@dingtalk.com

Research on the Framework and Application of Intelligent Dispatching System for Underground Unmanned Truck

Yue SUN1(),Yun ZOU2(),Wenbao KANG1,Liming WANG3,Zhi JIA1   

  1. 1.Jinchuan Group Co. , Ltd. , Jinchang 737100, Gansu, China
    2.Changsha DiMine Digital Technology Co. , Ltd. , Changsha 410006, Hunan, China
    3.School of Resources and Safety Engineering, Central South University, Changsha 410083, Hunan, China
  • Received:2022-08-24 Revised:2022-10-11 Online:2023-02-28 Published:2023-03-27
  • Contact: Yun ZOU E-mail:1ow_89npbb7iqd@dingtalk.com;1114932112@qq.com

摘要:

针对金川集团二矿区井下复杂环境会对作业人员健康及作业安全造成影响的问题,提出了一种地下无人矿卡智能调度系统整体框架及研究方案,介绍了基于SLAM的井下定位技术、5G信息传输和通信技术、用户交互技术、电子围栏技术和井下交通调度算法等系统功能及工作原理。通过激光雷达等传感器实现井下设备数据的收集和初步处理,利用光纤组网及5G无线网络完成数据实时传输,地表调度系统远程处理数据并下发各种调度决策,无人车辆根据调度决策执行相应指令。在不同生产场景下,通过对运输系统中的车辆进行实时检测和调度,以降低巷道拥堵时间,减少人员及设备安全事故的发生,从而提高生产运输效率,保障矿山企业经济平稳发展。

关键词: 地下矿山, 交通控制, 智能调度, 5G, SLAM技术, 激光雷达, 电子围栏

Abstract:

JKQ-25 mining trucks are used for ore transfer at 1 000 m level in Jinchuan No.2 Mining Area.There are a lot of noise,dust and tail gas during the operation,which seriously affects the occupational health of drivers.At present,the research on remote control driving and automatic driving technology of mining truck has been started,and unmanned driving of mining truck will gradually be the leading role in the later productive process.Therefore,the supporting intelligent scheduling system is needed to realize the supervision and dispat-ching of its productive process.The framework and application research of the intelligent scheduling system for unmanned mine truck is the industrial practice based on this situation.The system functions and working principles of SLAM based underground positioning technology,5G information transmission and com-munication technology,interaction technique and underground traffic dispatching algorithm were introduced in this paper.The preliminary collection of environmental data of underground equipment was realized by laser radar,and the data obtained by wheel speed sensor and IMU were used to correct the environmental data and preliminarily processed.Then,the preliminary analysis and processing of these data were carried out.Through the optical fiber networking and 5G wireless communication devices arranged on the surface and underground,the map information and its relative position information built by the unmanned vehicle based on the on-board laser radar SLAM technology were uploaded.The background of the dispatching system analyzes and processes the uploaded information of the vehicle through the integration of electronic fence technology and scheduling service,and issues reasonable traffic control decisions,so that the vehicle can respond to different traffic events and perform corresponding actions.The working principle and implementation logic of the underground traffic scheduling algorithm were introduced in detail.The electronic fence area with special position information was defined.The technical route of the single lane passing algorithm and the intersection algorithm,and the traffic control decision logic of the approximation method were introduced.The results show that when dealing with traffic events such as avoidance,waiting and meeting,the system can timely issue correct and reasonable scheduling instructions to avoid safety accidents,and effectively alleviate the problems of low production efficiency caused by traffic jams,reversing and other events.

Key words: underground mine, traffic control, intelligent dispatching, 5G, Simultaneous Localization and Mapping technology, laser radar, electronic fence

中图分类号: 

  • TD655

图1

地下矿无人驾驶矿卡集群调度架构图"

图2

激光SLAM结构框架"

图3

基于激光SLAM技术的井下定位"

图4

双向通行巷道结构示意图"

图5

巷道智能调度系统前端地图(a)M2硐室后台绘制界面示意图;(b)M2硐室可视化界面示意图"

图6

调度操作台"

图7

实时监控台"

图8

避让车队决策流程图"

图9

让行硐室结构示意图"

图10

避让—泊车执行流程图"

图11

会车道结构示意图"

图12

会车决策流程图"

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