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Railway Tunnel Construction based on Computer Vision Technology and Simulation Technology
Due to China's vast territory and large latitude and longitude range, the climate difference between different regions is obvious and the geological types are also very different. With the development of tunnel engineering in China, it is inevitable to encounter various complex geological environments, such as karst, red clay and frozen soil. Engineering research in these complex environments also promotes the development of tunnel technology. In this paper, the calculation method of tunnel structure load is studied by analyzing computer vision technology(CVT) and simulation technology(ST); This paper discusses the application and analysis of CVT and ST in railway tunnel construction(RTC), and finally verifies the feasibility and effectiveness of CVT and ST in RTC through simulation experiments, which has great reference significance and reference value for the construction of similar projects in the future.
Railway Tunnel Construction based on Computer Vision Technology and Simulation Technology
Due to China's vast territory and large latitude and longitude range, the climate difference between different regions is obvious and the geological types are also very different. With the development of tunnel engineering in China, it is inevitable to encounter various complex geological environments, such as karst, red clay and frozen soil. Engineering research in these complex environments also promotes the development of tunnel technology. In this paper, the calculation method of tunnel structure load is studied by analyzing computer vision technology(CVT) and simulation technology(ST); This paper discusses the application and analysis of CVT and ST in railway tunnel construction(RTC), and finally verifies the feasibility and effectiveness of CVT and ST in RTC through simulation experiments, which has great reference significance and reference value for the construction of similar projects in the future.
Railway Tunnel Construction based on Computer Vision Technology and Simulation Technology
Wang, Zhibo (Autor:in)
01.10.2022
133205 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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