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智能矿山车联网体系架构与关键技术

Architecture and key technologies of Intelligent of Vehicles in intelligent mine

  • 摘要: 矿山车辆作为矿山生产的重要设备,其管理水平直接影响矿山生产、安全、经营管理的各个方面,应用车联网技术提升矿山车辆管理智能化水平是智能矿山建设的重要内容。为避免车联网在矿山车辆管理应用中因概念不清、目标不同、路径不同、体系架构不同、技术应用重点不同造成发展方向分散、重复建设投入、系统融合困难的问题,以智能煤矿为例,提出了矿山车联网的概念,并对其体系架构、关键技术和典型应用进行了分析探讨:首先,在回顾智能矿山和车联网发展的基础上,定义和阐述矿山车联网的概念;然后参考车联网和矿山物联网体系结构,设计了由感知控制层、网络层、服务支持层和应用层构成的矿山车联网体系架构;综合车联网和智能矿山信息系统关键技术,分析了矿山车辆定位与监控、矿山车辆智能感知和控制、矿山车辆无线通信、矿山车联网协同计算等关键技术;最后从“人、车、环、管”4个方面出发,对矿山车辆及驾乘人员监控、矿山车辆自动驾驶及无人驾驶、基于矿山车辆的矿山安全监测、矿山车辆智能调度等矿山车联网典型应用进行了探讨。研究成果为推动车联网技术在智能矿山车辆管理中深入有序应用奠定了基础,同时丰富了矿山物联网技术内涵,为矿山物联网其他技术分支在智能矿山建设中的应用积累了经验。

     

    Abstract: Mine vehicles are important equipment for mine production, and their management level directly affects all aspects of mine production, safety, and operation management.The application of IoV(Internet of Vehicles)to improve the intelligent level of mine vehicle management is an important part of intelligent mine construction.In order to avoid the problems of decentralized development direction, repeated construction investment and difficulty in system integration caused by unclear concepts, different objectives, different paths, different system architectures and different technical application priorities in the application of IoV in mine vehicle management,the intelligent coal mine was used as an example in this paper.It proposed the concept of MIoV(Mine Internet of Vehicles)and analyzed its system architecture, key technologies as well as typical applications.Firstly, on the basis of reviewing the development of intelligent mines and IoV, MIoV is defined and expounded.Secondly, with reference to the architecture of IoV and MIoT, the architecture of MIoV is designed, consisting of perceptual control layer, network layer, service support layer and application layer; and then with the combination of the MIoV key technologies and intelligent mine information system, the key technologies are analyzed, such as positioning and monitoring,intelligent perception and control,vehicle wireless communication,and collaborative computing.Finally, from the four aspects of “people, vehicle, environment and management”, the typical application of MIoV were discussed, such as mine vehicle and driver monitoring, mine vehicle automatic driving and unmanned driving, mine safety monitoring based on mine vehicles, mine vehicle intelligent scheduling.The research results laid a foundation for promoting the in-depth and orderly application of IoV technology in intelligent mine vehicle management, while enriching the technical connotation of MIoT, and accumulating experience for the application of other technical branches of MIoT in the intelligent mine construction.

     

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