Application of laser point cloud for disease diagnosis in subway shield tunnel

doi:10.13474/j.cnki.11-2246.2020.0278

Abstract

Abstract: As a new type of measurement technology, mobile three-dimensional laser scanning technology is maturely used in subway tunnel safety monitoring. In this paper, we study 3D laser point cloud data to realize intelligent diagnosis of subway shield tunnel diseases. Firstly, the 3D laser point cloud data is converted into grayscale images, and on this basis, a convolutional neural network CNN is used to study the identification technology of water leakage and cracks in subway shield tunnels. Finally, an intelligent diagnosis system for tunnel diseases is generated. This technology provides an intelligent monitoring method for the safe operation of subways and effectively improves the technical level of subway operation monitoring in our country.

Key words: subway shield tunnel, seepage water, crack, disease diagnosis, laser point cloud, machine learning

CLC Number:

P258

WANG Xiaojing, TANG Chao, YANG Xiaofei. Application of laser point cloud for disease diagnosis in subway shield tunnel[J]. Bulletin of Surveying and Mapping, 2020, 0(9): 33-37.

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