Application of Mobile 3D Laser Scanning System in Disaster Detection of Metro Tunnel
In the process of metro operation,metro tunnels and their auxiliary structures may suffer from structural diseases such as water seepage,falling blocks and misalignment between rings.The results detected by traditional detection methods are difficult to be accurately quantified,with low detection efficiency and easy to be missed.In order to solve the problem of subway operation disease detection,this paper applied the mobile 3D laser scanning system to the subway operation disease detection,collected the 3D point cloud information of tunnel space,and compared and analyzed the internal and external efficiency and accuracy of different mobile 3D laser scanning systems such as rail mobile car,stand type and handheld type.The internal and external production processes of the mobile 3D laser scanning system were summarized,and the applicability of different 3D laser scanning systems was discussed in combination with the tunnel 3D point cloud data collected from subway stations,and artificial intelligence algorithms for tunnel disease detection were implemented to improve the efficiency of subway operation monitoring and the accuracy of disease identification.The results show that,the handheld 3D laser scanning system has a relatively low stability and is not suitable for the disease detection of subway tunnels at present.For the track-type mobile car and the stand type 3D laser scanning system,appropriate measuring equipment can be selected according to the characteristics of the distance and number of working points.Combining the artificial intelligence algorithm with the traditional method,the whole-process disease identification efficiency of the mobile 3D laser scanning system can be effectively improved by about 28%.
metrodisease detectiontunnel spacethree-dimensional laser scanning systemartificial intelligencepoint cloud data
NETL
NSTL
万方数据
