Volume 48 Issue 6
Jun.  2022
Turn off MathJax
Article Contents
BAO Xiangyu, SHAN Chengwei, WU Yanming. Automatic control system of auxiliary transportation traffic light based on UWB precise positioning[J]. Journal of Mine Automation,2022,48(6):100-111.  doi: 10.13272/j.issn.1671-251x.2022030051
Citation: BAO Xiangyu, SHAN Chengwei, WU Yanming. Automatic control system of auxiliary transportation traffic light based on UWB precise positioning[J]. Journal of Mine Automation,2022,48(6):100-111.  doi: 10.13272/j.issn.1671-251x.2022030051

Automatic control system of auxiliary transportation traffic light based on UWB precise positioning

doi: 10.13272/j.issn.1671-251x.2022030051
  • Received Date: 2022-03-14
  • Rev Recd Date: 2022-06-06
  • Available Online: 2022-05-18
  • The current auxiliary transportation system lacks effective control strategy. The vehicles waiting in the blind area at the intersection are disorderly. And it is difficult for one vehicle to give another the right of way. It is prone to collision accidents, resulting in low transport efficiency. This paper proposes an automatic control system of auxiliary transportation traffic light based on UWB precise positioning. The system determines the distribution requirements of UWB positioning base stations at typical intersections. The system sets two control parameters of position information and driving state, various release mechanisms and interval management and control strategies. The system specifies the sequencing principle and priority of forks. And the system has three control modes of automatic control, manual control and timing switching. Firstly, the UWB positioning base station scans the data of the vehicle positioning card. The logic controller reads the vehicle data information of the positioning base station in real time and solves the position information and the driving state of the vehicle. The logic controller controls the traffic light to execute the control command and directs the transportation vehicles to pass in an orderly manner. The logic controller is connected with an upper computer through a ring network. The upper computer can issue a control instruction to remotely change the light. And the logic controller uploads various information such as driving data, abnormal driving behaviors, traffic light states of underground vehicles to a mine vehicle dispatching system of the upper computer in real time. Therefore, the combination of local control and remote auxiliary control is realized. The system is tested in a simulated roadway. The result shows that the logic controller code operates normally. The logic response time of the system is<200 ms. The response time of the traffic light state switching is<1 s. And the curve alarm can correctly execute the alarm command. Dahaize Coal Mine uses trackless vehicles to carry out underground transportation tasks. There are about 140 recorded vehicles. The transportation lines are not fixed and the transportation tasks are intensive. The traffic at important intersections is large. The application results of the system in the complex environment of Dahaize Coal Mine show that the intersection information configuration is flexible. The system can highly adapt to various forms of intersections on-site, and meet the specific needs of intersection management and control. By adjusting the control threshold, the system can adjust the size of the intersection control area to adapt to the change of on-site transportation flow. The positioning base station adopts different data acquisition strategies, which reduces the laying quantity and construction cost of the positioning sub station. The upper computer can monitor the traffic scheduling status of underground vehicles in real time, monitor the driving behavior of vehicles, and realize the remote control of traffic lights.

     

  • loading
  • [1]
    李爽,薛广哲,方新秋,等. 煤矿智能化安全保障体系及关键技术[J]. 煤炭学报,2020,45(6):2320-2330.

    LI Shuang,XUE Guangzhe,FANG Xinqiu,et al. Coal mine intelligent safety system and key technologies[J]. Journal of China Coal Society,2020,45(6):2320-2330.
    [2]
    王国法,杜毅博,庞义辉. 6S智能化煤矿的技术特征和要求[J]. 智能矿山,2022,3(1):2-13.

    WANG Guofa,DU Yibo,PANG Yihui. Technical characteristics and requirements of 6S intelligent coal mine[J]. Journal of Intelligent Mine,2022,3(1):2-13.
    [3]
    赵远,吉庆,王腾. 煤矿智能无轨辅助运输技术现状与展望[J]. 煤炭科学技术,2021,49(12):209-216.

    ZHAO Yuan,JI Qing,WANG Teng. Current status and prospects of intelligent trackless auxiliary transportation technology in coal mines[J]. Coal Science and Technology,2021,49(12):209-216.
    [4]
    申涛,常李军,吕璐,等. 煤矿无轨辅助运输管理现状及应对措施[J]. 陕西煤炭,2021,40(3):185-187. doi: 10.3969/j.issn.1671-749X.2021.03.046

    SHEN Tao,CHANG Lijun,LYU Lu,et al. Management status and countermeasures of trackless auxiliary transportation in coal mine[J]. Shaanxi Coal,2021,40(3):185-187. doi: 10.3969/j.issn.1671-749X.2021.03.046
    [5]
    倪兴华. 安全高效矿井辅助运输关键技术研究与应用[J]. 煤炭学报,2010,35(11):1909-1915.

    NI Xinghua. Research and application of key technology for safety and high efficient mine auxiliary transportation[J]. Journal of China Coal Society,2010,35(11):1909-1915.
    [6]
    牛卫国. 基于UWB的煤矿胶轮车智能运输管理系统的开发实践[J]. 机械研究与应用,2020,33(1):151-154.

    NIU Weiguo. Application practice of intelligent transportation of coal mine rubber wheel vehicle based on UWB[J]. Mechanical Research & Application,2020,33(1):151-154.
    [7]
    吴畏,唐丽均,田国正. 矿用机车调度管理系统设计[J]. 工矿自动化,2018,44(7):17-21.

    WU Wei,TANG Lijun,TIAN Guozheng. Design of dispatching management system of mine-used locomotives[J]. Industry and Mine Automation,2018,44(7):17-21.
    [8]
    郭海军,续芳. 煤矿无轨胶轮车监控调度系统设计[J]. 工矿自动化,2013,39(4):9-12. doi: 10.7526/j.issn.1671-251X.2013.04.003

    GUO Haijun,XU Fang. Design of monitoring and dispatching system of trackless rubber-tyred locomotive in coal mine[J]. Industry and Mine Automation,2013,39(4):9-12. doi: 10.7526/j.issn.1671-251X.2013.04.003
    [9]
    佘九华,陈小林,张明杰. 基于物理检测方式的胶轮车运输监控系统[J]. 工矿自动化,2016,42(5):9-11.

    SHE Jiuhua,CHEN Xiaolin,ZHANG Mingjie. Rubber-tyred vehicle transport monitoring system based on physical detection mode[J]. Industry and Mine Automation,2016,42(5):9-11.
    [10]
    胡青松,钱建生,李世银,等. 智能煤矿技术研究与政策制定现状[J]. 工矿自动化,2021,47(3):1-8.

    HU Qingsong,QIAN Jiansheng,LI Shiyin,et al. Status of intelligent coal technology research and policy development[J]. Industry and Mine Automation,2021,47(3):1-8.
    [11]
    梁栋. 智慧矿山运输设备大数据关键问题研究[J]. 工矿自动化,2021,47(增刊2):65-67.

    LIANG Dong. Research on key problems of big data of intelligent mine transport equipment[J]. Industry and Mine Automation,2021,47(S2):65-67.
    [12]
    侯刚,王国法,薛忠新,等. 煤矿辅助运输自动驾驶关键技术与装备[J]. 采矿与岩层控制工程学报,2022,4(3):1-13.

    HOU Gang,WANG Guofa,XUE Zhongxin,et al. Key technologies and equipment for automatic driving of coal mine auxiliary transportation[J]. Journal of Mining and Strata Control Engineering,2022,4(3):1-13.
    [13]
    叶国庆,包建军,李亚斌,等. 基于霍尔传感的煤矿人员定位精度验证系统[J]. 工矿自动化,2019,45(6):32-36.

    YE Guoqing,BAO Jianjun,LI Yabin,et al. Mine personnel positioning accuracy verification system based on Hall sensing[J]. Industry and Mine Automation,2019,45(6):32-36.
    [14]
    李世其,王长安,朱文革,等. 基于UDP的遥操作数据传输可靠性保证[J]. 自动化与仪器仪表,2013(1):142-145. doi: 10.3969/j.issn.1001-9227.2013.01.057

    LI Shiqi,WANG Chang'an,ZHU Wenge,et al. Ensure teleoperation data transmission reliability based on UDP[J]. Automation & Instrumentation,2013(1):142-145. doi: 10.3969/j.issn.1001-9227.2013.01.057
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(16)

    Article Metrics

    Article views (247) PDF downloads(53) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return