基于概率密度的隧道三维激光扫描监测方法

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Abstract Research purposes:The current monitoring and measurement adopts the total station to monitor the displacement of arch crown settlement, clearance change and other indicators. This kind of monitoring with fixed monitoring point has two major problems: the setting of monitoring targets is not timely, and the monitoring results are not comprehensive. In order to solve this problem, this paper introduces three-dimensional laser scanning technology for monitoring. However, the monitoring results of 3D laser scanning are scattered point clouds, which are difficult to be used directly. In engineering, an accurate, fast and stable method is needed to analyze and evaluate the monitoring results of 3D laser scanning point clouds.
Research conclusions:(1) The greedy triangle method is used to fit the three-dimensional laser scanning point cloud to form a surface, and the normal vector method is used to extract the deformation of the fitting surface formed by the front and rear measured point cloud. After forming the normal vector probability density function, the deformation of the tunnel can be judged by this function. (2) Compared with the high-order continuous maximum entropy method, the probability density function of the normal vector of the fitting surface conforms to the normal distribution, and it can be defaulted that the normal vector conforms to the normal distribution in engineering. (3) The graphic analysis of normal vector can solve the problems of tunnel deformation convergence judgment, local deformation judgment and so on.(4)This research result can be applied to the field of tunnel engineering monitoring and measurement.

Key words： 3D laser monitoring and measurement probability density function normal vector

Received: 20 December 2022

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U45

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	Articles by authors
	WEI Zheng
	ZENG Qingyi
	ZHOU Jianqiang
	CHEN Wenwu
	ZHOU Zhen

Cite this article:

WEI Zheng,ZENG Qingyi,ZHOU Jianqiang, et al. Tunnel 3D Laser Scanning Monitoring Method Based on Probability Density[J]. Journal of Railway Engineering Society, 2023, 40(2): 18-22.

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https://tdgcxb.crec.cn/EN/ OR https://tdgcxb.crec.cn/EN/Y2023/V40/I2/18

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