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我国露天矿智能运输技术现状及发展趋势

王忠鑫 辛凤阳 陈洪亮 宋波 田凤亮 曾祥玉 白怡明

王忠鑫,辛凤阳,陈洪亮,等. 我国露天矿智能运输技术现状及发展趋势[J]. 工矿自动化,2022,48(6):15-26.  doi: 10.13272/j.issn.1671-251x.17921
引用本文: 王忠鑫,辛凤阳,陈洪亮,等. 我国露天矿智能运输技术现状及发展趋势[J]. 工矿自动化,2022,48(6):15-26.  doi: 10.13272/j.issn.1671-251x.17921
WANG Zhongxin, XIN Fengyang, CHEN Hongliang, et al. Current status and development trend of intelligent transportation technology in China's open-pit mines[J]. Journal of Mine Automation,2022,48(6):15-26.  doi: 10.13272/j.issn.1671-251x.17921
Citation: WANG Zhongxin, XIN Fengyang, CHEN Hongliang, et al. Current status and development trend of intelligent transportation technology in China's open-pit mines[J]. Journal of Mine Automation,2022,48(6):15-26.  doi: 10.13272/j.issn.1671-251x.17921

我国露天矿智能运输技术现状及发展趋势

doi: 10.13272/j.issn.1671-251x.17921
基金项目: 中国煤炭科工集团有限公司科技创新创业资金专项重点项目(2020-ZD002)。
详细信息
    作者简介:

    王忠鑫(1984—),男,内蒙古赤峰人,教授级高级工程师,博士研究生,主要从事煤炭露天开采理论、核心装备及其智能化技术研究工作,E-mail:wzx_syy@qq.com

    通讯作者:

    辛凤阳(1994—),男,内蒙古赤峰人,蒙古族,助理工程师,硕士,主要从事露天开采理论与优化、智能矿山规划设计、矿山设备数据采集及软件开发等工作,E-mail:1643660267@qq.com

  • 中图分类号: TD824

Current status and development trend of intelligent transportation technology in China's open-pit mines

  • 摘要: 运输环节作为露天矿生产工艺的最重要因素之一,其智能化是矿山整体智能化技术的重要研究内容。介绍了露天矿运输系统的构成及分类;明确了露天矿智能运输系统是以露天矿煤岩高效运输为应用场景,以智能化运输装备为核心载体,将物联网、云计算、大数据、人工智能、移动互联等数字技术与露天矿运输系统运行原理和工艺要求深度融合,建立运输系统内设备、环境、物料的自主协同高效运行体系,进而建立起大范围内发挥作用的实时、准确、高效的运输综合管理系统,其构成要素主要包括基础设施、运输工具和运算技术。指出露天矿传统运输系统与智能运输系统的区别在于智能运输系统以提高现场生产作业安全和效率为目标,服务对象由原来的生产管理人员转变为生产作业人员。从基础设施智能化、装备智能化、管控智能化、维保智能化和设计智能化5个方面,综述了我国露天矿智能运输系统的研究和产品应用现状。分析了露天矿卡车运输系统和带式输送机运输系统实现智能化亟待突破的关键技术:卡车智能运输关键技术包括矿山复杂路况的环境感知技术、无人驾驶卡车线控改造技术、多目标智能调度技术、有人−无人混编设备群智能协同技术;带式输送机智能运输关键技术包括工作面带式输送机自主横移技术、自移式大倾角带式输送机运输技术、带式输送机运行控制技术、带式输送机状态在线检测技术、带式输送机智能巡检技术、带式输送机无人化维护技术、带式输送机运输系统智能管控平台。指出露天矿智能运输发展的趋势为连续化、无人化、低碳化、高效协同和本质安全。

     

  • 图  1  露天矿运输系统构成

    Figure  1.  Composition of transportation system in open-pit mine

    图  2  无人驾驶车辆传感器布设

    Figure  2.  Sensors layout on unmanned driving vehicles

    图  3  露天矿环境感知传感器

    Figure  3.  Environmental perception sensors in open-pit mine

    图  4  NSGA−II算法流程

    Figure  4.  NSGA−II algorithm flow

    图  5  输送带钢丝绳芯X射线在线损伤检测系统组成

    Figure  5.  Composition of on-line damage detection system of steel core belt based on X-ray

    图  6  带式输送机故障信息处理流程

    Figure  6.  Fault information process flow of belt conveyor

  • [1] 李杰, 王富, 何雅琴. 交通工程学[M]. 北京: 北京大学出版社, 2010.

    LI Jie, WANG Fu, HE Yaqin. Traffic engineering[M]. Beijing: Peking University Press, 2010.
    [2] 张瑞新,赵红泽. 中国露天矿山信息化现状及发展趋势[J]. 露天采矿技术,2014(9):1-4.

    ZHANG Ruixin,ZHAO Hongze. Current situation and development trend of open-pit mines informatization in China[J]. Opencast Mining Technology,2014(9):1-4.
    [3] 王国法. “双碳”目标下, 煤炭工业如何应对新挑战[N]. 中国煤炭报, 2021-09-23(3).

    WANG Guofa. How can the coal industry cope with new challenges under the goal of 'double carbon'[N]. China Coal News, 2021-09-23(3).
    [4] 杨兆升, 于德新. 智能运输系统概论[M]. 3版. 北京: 人民交通出版社, 2015.

    YANG Zhaosheng, YU Dexin. Introduction to intelligent transportation system[M]. 3rd ed. Beijing: China Communication Press, 2015.
    [5] 王青, 任凤玉, 顾晓薇, 等. 采矿学[M]. 北京: 冶金工业出版社, 2011.

    WANG Qing, REN Fengyu, GU Xiaowei, et al. Coal mining science[M]. Beijing: Metallurgical Industry Press, 2011.
    [6] 王国法,庞义辉,任怀伟. 智慧矿山技术体系研究与发展路径[J]. 金属矿山,2022,51(5):1-9. doi: 10.19614/j.cnki.jsks.202205001

    WANG Guofa,PANG Yihui,REN Huaiwei. Research and development path of smart mine technology system[J]. Metal Mine,2022,51(5):1-9. doi: 10.19614/j.cnki.jsks.202205001
    [7] 王忠鑫,辛凤阳,宋波,等. 论露天煤矿智能化建设总体设计[J]. 煤炭科学技术,2022,50(2):37-46. doi: 10.13199/j.cnki.cst.2021-1053

    WANG Zhongxin,XIN Fengyang,SONG Bo,et al. Overall design of intelligent construction in open pit coal mines[J]. Coal Science and Technology,2022,50(2):37-46. doi: 10.13199/j.cnki.cst.2021-1053
    [8] 邓红星,巴兴强. 浅谈智能运输系统的发展[J]. 黑龙江交通科技,2008(1):117. doi: 10.3969/j.issn.1008-3383.2008.01.060

    DENG Hongxing,BA Xingqiang. On the development of intelligent transportation system[J]. Communications Science and Technology Heilongjiang,2008(1):117. doi: 10.3969/j.issn.1008-3383.2008.01.060
    [9] 王爽,余涵. 智能运输系统的发展与应用[J]. 交通世界,2019(7):8-9.

    WANG Shuang,YU Han. Development and application of intelligent transportation system[J]. Transpo World,2019(7):8-9.
    [10] 何林,李克民. 无线Mesh网络技术在露天矿通信系统中的应用前景[J]. 金属矿山,2012,41(4):118-120,167. doi: 10.3969/j.issn.1001-1250.2012.04.030

    HE Lin,LI Kemin. Application outlook of wireless mesh networks in open-pit communication system[J]. Metal Mine,2012,41(4):118-120,167. doi: 10.3969/j.issn.1001-1250.2012.04.030
    [11] 郭文馨. 4G无线通信系统在露天矿山中的应用[J]. 电脑编程技巧与维护,2017(8):76-79. doi: 10.3969/j.issn.1006-4052.2017.08.031

    GUO Wenxin. Application of 4G wireless communication system in open pit mine[J]. Computer Programming Skills & Maintenance,2017(8):76-79. doi: 10.3969/j.issn.1006-4052.2017.08.031
    [12] 孙继平,陈晖升. 智慧矿山与5G和WiFi6[J]. 工矿自动化,2019,45(10):1-4.

    SUN Jiping,CHEN Huisheng. Smart mine with 5G and WiFi6[J]. Industry and Mine Automation,2019,45(10):1-4.
    [13] 王国法,赵国瑞,胡亚辉. 5G技术在煤矿智能化中的应用展望[J]. 煤炭学报,2020,45(1):16-23.

    WANG Guofa,ZHAO Guorui,HU Yahui. Application prospect of 5G technology in coal mine intelligence[J]. Journal of China Coal Society,2020,45(1):16-23.
    [14] 孙效玉,田凤亮,张航,等. 基于GPS数据的露天矿道路网自动提取[J]. 煤炭学报,2017,42(11):3059-3064. doi: 10.13225/j.cnki.jccs.2017.0308

    SUN Xiaoyu,TIAN Fengliang,ZHANG Hang,et al. Automatic extraction of road network in open-pit mine based on GPS data[J]. Journal of China Coal Society,2017,42(11):3059-3064. doi: 10.13225/j.cnki.jccs.2017.0308
    [15] TIAN Fengliang,SUN Xiaoyu,GU Xiaowei,et al. Updating road information in open-pit mines using truck trajectories[J]. Mathematical Problems in Engineering,2019,2019:1-8.
    [16] SUN Xiaoyu,ZHANG Hang,TIAN Fengliang,et al. The use of a machine learning method to predict the real-time link travel time of open-pit trucks[J]. Mathematical Problems in Engineering,2018(7):1-14.
    [17] 顾清华,薛步青,卢才武,等. 基于D−LinkNet网络的露天矿道路智能识别与路网建模[J]. 煤炭学报,2020,45(增刊2):1100-1108.

    GU Qinghua,XUE Buqing,LU Caiwu,et al. Road intelligent recognition and road network modeling of open pit based on D-LinkNet network[J]. Journal of China Coal Society,2020,45(S2):1100-1108.
    [18] 李庆玲,张慧祥,赵旭阳,等. 露天矿无人驾驶自卸卡车发展综述[J]. 煤炭工程,2021,53(2):29-34.

    LI Qingling,ZHANG Huixiang,ZHAO Xuyang,et al. Overview of unmanned mining trucks in open-pit mine[J]. Coal Engineering,2021,53(2):29-34.
    [19] 赵浩,毛开江,曲业明,等. 我国露天煤矿无人驾驶及新能源卡车发展现状与关键技术[J]. 中国煤炭,2021,47(4):45-50. doi: 10.3969/j.issn.1006-530X.2021.04.007

    ZHAO Hao,MAO Kaijiang,QU Yeming,et al. Development status and key technology of driverless and new energy trucks in open-pit coal mine in China[J]. China Coal,2021,47(4):45-50. doi: 10.3969/j.issn.1006-530X.2021.04.007
    [20] 程平, 李晓光, 顾清华, 等. 露天矿新能源纯电动卡车的智能调度优化及应用[J/OL]. 金属矿山: 1-11[2022-04-15]. http://kns.cnki.net/kcms/detail/34.1055.TD.20211223.1738.002.html.

    CHENG Ping, LI Xiaoguang, GU Qinghua, et al. Intelligent scheduling optimization and application of new energy electric truck in open-pit mine[J/OL]. Metal Mine: 1-11[2022-04-15]. http://kns.cnki.net/kcms/detail/34.1055.TD.20211223.1738.002.html.
    [21] 葛世荣,郝尚清,张世洪,等. 我国智能化采煤技术现状及待突破关键技术[J]. 煤炭科学技术,2020,48(7):28-46.

    GE Shirong,HAO Shangqing,ZHANG Shihong,et al. Status of intelligent coal mining technology and potential key technologies in China[J]. Coal Science and Technology,2020,48(7):28-46.
    [22] 蒋卫良,郗存根,宋兴元,等. 煤矿带式输送机关键技术发展现状与展望[J]. 智能矿山,2020,1(1):98-104.

    JIANG Weiliang,XI Cungen,SONG Xingyuan,et al. Development status and prospect of key technology of coal mine belt conveyor[J]. Journal of Intelligent Mine,2020,1(1):98-104.
    [23] 李臻,操虹,贾洪钢,等. 煤矿带式输送机轴承监测诊断系统及其应用[J]. 工矿自动化,2011,37(12):15-18.

    LI Zhen,CAO Hong,JIA Honggang,et al. Bearing monitoring and diagnosis system of belt conveyor of coal mine and its application[J]. Industry and Mine Automation,2011,37(12):15-18.
    [24] 曹艳军,柳骁. 原煤运输系统智能化关键技术研究[J]. 工矿自动化,2021,47(增刊2):56-59.

    CAO Yanjun,LIU Xiao. Research on the key technologies of intelligent coal transport system[J]. Industry and Mine Automation,2021,47(S2):56-59.
    [25] 毛君, 陈迪, 白杨溪, 等. 一种带式输送机工作状态下的托辊更换车: CN112975830A[P]. 2021-06-18.

    MAO Jun, CHEN Di, BAI Yangxi, et al. An idler replacement vehicle under the working state of belt conveyor: CN112975830A[P]. 2021-06-18.
    [26] 陈洪月, 毕文钦, 王鑫, 等. 一种运行中带式输送机托辊更换车: CN112975831A[P]. 2021-06-18.

    CHEN Hongyue, BI Wenqin, WANG Xin, et al. A roller replacement vehicle for belt conveyor in operation: CN112975831A[P]. 2021-06-18.
    [27] 聂永朝,冯宝忠,杨洋. 带式输送机智能运维管理平台研究与设计[J]. 中国煤炭,2021,47(4):37-44. doi: 10.3969/j.issn.1006-530X.2021.04.006

    NIE Yongchao,FENG Baozhong,YANG Yang. Research and design of intelligent operation and maintenance management platform for belt conveyor[J]. China Coal,2021,47(4):37-44. doi: 10.3969/j.issn.1006-530X.2021.04.006
    [28] 付恩三,刘光伟,邸帅,等. 露天矿山无人驾驶技术及系统架构研究[J]. 煤炭工程,2022,54(1):34-39.

    FU Ensan,LIU Guangwei,DI Shuai,et al. Unmanned driving technology and system architecture in open-pit mines[J]. Coal Engineering,2022,54(1):34-39.
    [29] 辛凤阳,王忠鑫,田凤亮,等. 基于BS架构的露天矿连续工艺一体化管控平台设计与实现[J]. 金属矿山,2021,50(12):177-182.

    XIN Fengyang,WANG Zhongxin,TIAN Fengliang,et al. Design and implementation of integrated management and control platform for open pit continuous process based on BS architecture[J]. Metal Mine,2021,50(12):177-182.
    [30] 田凤亮,孙效玉,张航. 一种露天矿卡车故障的NLP技术挖掘与分析方法[J]. 金属矿山,2017,46(7):138-142. doi: 10.3969/j.issn.1001-1250.2017.07.028

    TIAN Fengliang,SUN Xiaoyu,ZHANG Hang. A mining and analyzing method of truck fault in open-pit mine based on NLP technology[J]. Metal Mine,2017,46(7):138-142. doi: 10.3969/j.issn.1001-1250.2017.07.028
    [31] 白润才,柴森霖,刘光伟,等. 基于Mallat算法与ARMA模型的露天矿卡车故障率预测[J]. 中国安全科学学报,2018,28(10):31-37. doi: 10.16265/j.cnki.issn1003-3033.2018.10.006

    BAI Runcai,CHAI Senlin,LIU Guangwei,et al. Method for predicting truck's failure rate in open-pit mine based on Mallat algorithm and ARMA model[J]. China Safety Science Journal,2018,28(10):31-37. doi: 10.16265/j.cnki.issn1003-3033.2018.10.006
    [32] 刘威,郭直清,黄敏,等. 基于MCMC算法的露天矿典型设备故障预测方法研究[J]. 煤炭科学技术,2019,47(10):51-57.

    LIU Wei,GUO Zhiqing,HUANG Min,et al. Research on fault prediction method of typical equipment in open-pit mine based on MCMC algorithm[J]. Coal Science and Technology,2019,47(10):51-57.
    [33] 毛清华,毛金根,马宏伟,等. 矿用带式输送机智能监测系统研究[J]. 工矿自动化,2020,46(6):48-52,58.

    MAO Qinghua,MAO Jingen,MA Hongwei,et al. Research on intelligent monitoring system of mine-used belt conveyor[J]. Industry and Mine Automation,2020,46(6):48-52,58.
    [34] 刘光伟,柴森霖,白润才,等. 露天矿山开拓运输系统道路选线算法[J]. 煤炭学报,2019,44(12):3931-3940.

    LIU Guangwei,CHAI Senlin,BAI Runcai,et al. Route selection algorithm of open-pit mine transportation system[J]. Journal of China Coal Society,2019,44(12):3931-3940.
    [35] 刘光伟,李晋,柴森霖,等. 基于时空演化的露天矿运输线路存留状态判别算法[J]. 煤炭学报,2020,45(6):2147-2154. doi: 10.13225/j.cnki.jccs.zn20.0236

    LIU Guangwei,LI Jin,CHAI Senlin,et al. Spatio-temporal state discrimination and prediction of road transportation system in open-pit mine[J]. Journal of China Coal Society,2020,45(6):2147-2154. doi: 10.13225/j.cnki.jccs.zn20.0236
    [36] 赵明,王忠鑫,曾祥玉,等. 基于3DMine软件的露天矿境界优化研究[J]. 露天采矿技术,2021,36(3):30-33. doi: 10.13235/j.cnki.ltcm.2021.03.008

    ZHAO Ming,WANG Zhongxin,ZENG Xiangyu,et al. Study on boundary optimization of open-pit mine based on 3DMine software[J]. Opencast Mining Technology,2021,36(3):30-33. doi: 10.13235/j.cnki.ltcm.2021.03.008
    [37] 徐文轩,李伟. 无人驾驶汽车环境感知与定位技术[J]. 汽车科技,2021(6):53-60.

    XU Wenxuan,LI Wei. Environment perception and location technology of driverless vehicles[J]. Auto Sci-Tech,2021(6):53-60.
    [38] 张伦. 矿用自卸卡车无人驾驶线控改装[J]. 工矿自动化,2021,47(增刊1):88-90.

    ZHANG Lun. Linear control refit of mine-used self-unloading truck for driverless[J]. Industry and Mine Automation,2021,47(S1):88-90.
    [39] 张明,顾清华,李发本,等. 基于多目标遗传算法的露天矿卡车调度优化研究[J]. 金属矿山,2019,48(6):157-162.

    ZHANG Ming,GU Qinghua,LI Faben,et al. Research of open-pit mine truck dispatching optimization based on multi-objective genetic algorithm[J]. Metal Mine,2019,48(6):157-162.
    [40] 孙效玉,田凤亮,张航,等. 兼顾固定配车需要的露天矿车流规划模型[J]. 煤炭学报,2016,41(增刊2):583-588.

    SUN Xiaoyu,TIAN Fengliang,ZHANG Hang,et al. Traffic flow model in open pit mine for needs of fixed assignment of truck[J]. Journal of China Coal Society,2016,41(S2):583-588.
    [41] 孙效玉,赵松松,刘恒,等. 露天矿车流路网均衡分配模型[J]. 煤炭学报,2017,42(6):1607-1613.

    SUN Xiaoyu,ZHAO Songsong,LIU Heng,et al. Equilibrium distribution model of traffic flow on road network for traffic flow of open pit[J]. Journal of China Coal Society,2017,42(6):1607-1613.
    [42] 武讲,郑群飞. 哈尔乌素露天矿无人驾驶方案研究[J]. 金属矿山,2021,50(2):167-172.

    WU Jiang,ZHENG Qunfei. Feasibility study of driverless system in Harwusu Open-pit Coal Mine[J]. Metal Mine,2021,50(2):167-172.
    [43] 陈洪亮,李申岩,刘玲,等. 露天矿端帮自移式大倾角输送设备结构形式的研究[J]. 煤矿机械,2019,40(6):149-151. doi: 10.13436/j.mkjx.201906048

    CHEN Hongliang,LI Shenyan,LIU Ling,et al. Research on structural forms of self-moving high angle conveying equipment for open pit mine slope[J]. Coal Mine Machinery,2019,40(6):149-151. doi: 10.13436/j.mkjx.201906048
    [44] 周保卫. 多级串联带式输送机智能协调控制系统[J]. 煤矿机械,2020,41(12):180-182.

    ZHOU Baowei. Intelligent coordinated control system of multi-stage series belt conveyor[J]. Coal Mine Machinery,2020,41(12):180-182.
    [45] 谢进,任文清. 煤矿钢丝绳芯输送带检测系统[J]. 工矿自动化,2021,47(增刊1):69-71.

    XIE Jin,REN Wenqing. Coal mine steel cord conveyor belt detection system[J]. Industry and Mine Automation,2021,47(S1):69-71.
    [46] 刘澎,任文清. 煤矿无人值守带式输送机智能化系统设计[J]. 工矿自动化,2021,47(增刊2):75-77,96.

    LIU Peng,REN Wenqing. Design of intelligent system of unattended belt conveyor in coal mine[J]. Industry and Mine Automation,2021,47(S2):75-77,96.
    [47] 林东玲. 基于多信息融合技术的矿用带式输送机故障诊断系统研究[J]. 煤矿机械,2020,41(6):169-171. doi: 10.13436/j.mkjx.202006056

    LIN Dongling. Research on fault diagnosis system of mine belt conveyor based on multi information fusion technology[J]. Coal Mine Machinery,2020,41(6):169-171. doi: 10.13436/j.mkjx.202006056
    [48] 蒋卫良,王兴茹,刘冰,等. 煤矿智能化连续运输系统关键技术研究[J]. 煤炭科学技术,2020,48(7):134-142. doi: 10.13199/j.cnki.cst.2020.07.013

    JIANG Weiliang,WANG Xingru,LIU Bing,et al. Study on key technology of coal mine intelligent continuous transportation[J]. Coal Science and Technology,2020,48(7):134-142. doi: 10.13199/j.cnki.cst.2020.07.013
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出版历程
  • 收稿日期:  2022-04-08
  • 修回日期:  2022-06-14
  • 网络出版日期:  2022-06-28

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