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    Machine Inspection Equipment for Tunnels: A Review

    Source: Journal of Highway and Transportation Research and Development (English Edition):;2021:;Volume ( 015 ):;issue: 002::page 40-53-1
    Author:
    Zhen Huang
    ,
    Chen-long Zhangg
    ,
    He-lin Fu
    ,
    Shao-kun Ma
    ,
    Xiao-dong Fan
    DOI: 10.1061/JHTRCQ.0000774
    Publisher: ASCE
    Abstract: Artificial method is the main method of tunnel lining structure safety detection at present, which has strong subjectivity, a large amount of labor, and low efficiency, and the adverse environment of the tunnel is harmful to the health of detection workers. Tunnel machine detection methods can effectively overcome the shortcomings of artificial detection methods and provide more abundant quantitative data. In this paper, the development of tunnel detection equipment at home and abroad in recent years is introduced, and the deficiencies in technology and function of current tunnel machine detection system are analyzed. Finally, based on the shortcomings of the current machine detection system, the future development of tunnel detection technology is prospected from the aspects of dual-purpose detection technology, full-automatic robot detection technology, dynamic intelligent detection platform, and virtual reality detection technology. This review can provide some reference and guidance for the development of tunnel machine detection equipment in the direction of full automation, intelligence, multifunction, big data, high efficiency, and high precision.
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      Machine Inspection Equipment for Tunnels: A Review

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4271807
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    • Journal of Highway and Transportation Research and Development (English Edition)

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    contributor authorZhen Huang
    contributor authorChen-long Zhangg
    contributor authorHe-lin Fu
    contributor authorShao-kun Ma
    contributor authorXiao-dong Fan
    date accessioned2022-02-01T21:40:07Z
    date available2022-02-01T21:40:07Z
    date issued6/1/2021
    identifier otherJHTRCQ.0000774.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4271807
    description abstractArtificial method is the main method of tunnel lining structure safety detection at present, which has strong subjectivity, a large amount of labor, and low efficiency, and the adverse environment of the tunnel is harmful to the health of detection workers. Tunnel machine detection methods can effectively overcome the shortcomings of artificial detection methods and provide more abundant quantitative data. In this paper, the development of tunnel detection equipment at home and abroad in recent years is introduced, and the deficiencies in technology and function of current tunnel machine detection system are analyzed. Finally, based on the shortcomings of the current machine detection system, the future development of tunnel detection technology is prospected from the aspects of dual-purpose detection technology, full-automatic robot detection technology, dynamic intelligent detection platform, and virtual reality detection technology. This review can provide some reference and guidance for the development of tunnel machine detection equipment in the direction of full automation, intelligence, multifunction, big data, high efficiency, and high precision.
    publisherASCE
    titleMachine Inspection Equipment for Tunnels: A Review
    typeJournal Paper
    journal volume15
    journal issue2
    journal titleJournal of Highway and Transportation Research and Development (English Edition)
    identifier doi10.1061/JHTRCQ.0000774
    journal fristpage40-53-1
    journal lastpage40-14
    page14
    treeJournal of Highway and Transportation Research and Development (English Edition):;2021:;Volume ( 015 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian