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Road resurfacing using industry 4.0 principles

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    0500749 - ÚTIA 2019 RIV CA eng C - Conference Paper (international conference)
    Obr, V. - Přikryl, M. - Pokorný, P. - Hrubeš, P. - Langr, M. - Žák, J. - Šroubek, Filip - Šorel, Michal
    Road resurfacing using industry 4.0 principles.
    Proceedings of the 36th International Communications Satellite Systems Conference (ICSSC). Niagara Falls: Ka and Broadband Communications, Navigation and Earth Observation Conference, 2018, č. článku Ka 8: Navigation 2 : 4. E-ISSN 2573-6124.
    [36th International Communications Satellite Systems Conference (ICSSC). Niagara Falls (CA), 15.10.2018-18.10.2018]
    R&D Projects: GA MPO(CZ) FV20356
    Institutional support: RVO:67985556
    Keywords : road resurfacing * industry 4.0
    OECD category: Computer hardware and architecture
    http://library.utia.cas.cz/separaty/2019/ZOI/sorel-0500749.pdf

    The basic concept of Industry 4.0 is virtualization of reality - creating a digital image of real world and optimizing and planning processes in this virtual environment. The aim is to find the best
    solutions in a broad relationship with other processes and their realization in the real world. In the construction industry, Industry 4.0 is only at the beginning phases of utilization, especially
    the area of a highway reconstruction, which provides an extremely high potential for process optimization. This was confirmed, for example, in the ASFALT project: Advance Galileo Navigation
    System for ASPHALT's fleet machines (ID: 247976, Funded under: FP7-TRANSPORT). This paper introduces the methodology of complex robotic and automation process of the pavement repair according to the industry 4.0 principles, which uses Exact Street DNA navigation, patented hybrid GNSS based technology for precise millimetre navigation of road milling machines. The DNA navigation achieves millimetre height accuracy using an inexpensive GNSS receivers. The pavement repair process often takes place in urban canyons areas, which is why the 3D data is enhanced by GNSS Galileo and EGNOS.
    Permanent Link: http://hdl.handle.net/11104/0293329

     
     
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