Tunnel construction information monitoring system based on 3D scanning point cloud

Abstract

The tunnel construction information monitoring system based on 3D scanning point cloud adopts 3D laser scanning point cloud measurement technology to collect coordinate information, intensity information, grayscale information and pixel information of the tunnel’s full-section spatial structure, and performs automatic filtering processing and point cloud analysis. Data is automatically spliced ​​to generate a two-dimensional plane model and a three-dimensional space model of the tunnel; the "5S" parallel communication method is used to realize uninterrupted real-time transmission of monitoring data and data flow; multi-dimensional coordinate axes of time, movement and rotation are introduced to describe the changing posture in the plane , the changing posture of the plumb plane, and the changing posture over time, data filtering and data analysis, to realize the seamless connection between monitoring and analysis structure and engineering construction information; based on Internet of Things technology, adopt B / S architecture, three-tier system model And seven-level safety management, realize monitoring data, advance forecast and construction information real-time processing, update, query, browse, three-level early warning and forecast and three-level risk management.

Description

technical field [0001] The invention relates to tunnel information construction monitoring and early warning and forecasting technology, which belongs to the technical field of underground engineering construction monitoring and risk management. [0002] technical background [0003] In recent years, underground engineering technology has been more and more widely used and has attractive commercial prospects, and it is very prominent in many technical fields of engineering construction. However, underground engineering projects have the characteristics of large concealment, complex technology, strong operation cycle, long construction period, and limited operation space. Moreover, the mechanical state during dynamic construction is changing, and the mechanical and physical properties of surrounding rock are also changing. There are many uncertain and unsafe factors in the implementation process, making underground engineering a high-risk engineering project. To realize the i...

AI Technical Summary

Problems solved by technology

Underground projects such as tunnels are also called concealed projects. Due to the uncertainty and complexity of geological conditions, they bring great risks and hidden dangers to construction and safety. Effective monitoring and information management technologies are used to collect on-site information in an all-round way. Scientific analysis and prediction can avoid and reduce the occurrence of accidents and ensure the quality of the project. However, due to the current domestic and foreign monitoring technology and management level limitations, the problem of underground engineering information monitoring has always been the bottleneck and difficulty of underground engineering.

[0006] (1) There are many human-influenced factors and construction-influenced factors in the data collection process, the authenticity of the data cannot be guaranteed, and a large amount of information related to the tunnel construction is lost during the monitoring process, which cannot accurately reflect the deformation of the surrounding rock and carry out risk prediction

[0007] (2) Data collection is slow, monitoring and measurement equipment is automated and informatized, and the workload of data post-processing is large, which takes up a lot of manpower and material resources, which affects the feedback and utilization of construction information

[0008] (3) Using a three-dimensional Cartesian coordinate system to collect tunnel deformation information cannot reflect the deformation of the tunnel under the action of ground stress and construction factors and the changes in the tunnel’s spatial attitude, and cannot accurately describe the tunnel feature points and the spatial changes of the feature points. Affects the use and correct presentation of monitoring data

[0009] (4) The data acquisition of the traditional monitoring method is slow, and the tunnel is relatively dark, and the measurement point is not accurately located, which is prone to measurement deviation and error

[0010] (5) Data transmission and storage are intermittent and continuous due to the influence of the environment, which affects the real-time update and use of monitoring data, and cannot guide engineering information design and engineering construction in a timely manner

[0011] (6) It is necessary for surveyors to enter the tunnel to work, which is easy to affect the construction and has potential safety hazards

[0012] (7) It is impossible to quickly analyze the data obtained from monitoring and measurement and construction information, and provide early warning and forecast

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