Tunnel construction information monitoring system based on three-dimensional scanning point cloud

Abstract

The invention relates to a tunnel construction information monitoring system based on three-dimensional scanning point cloud. The system comprises the following realization steps: acquiring coordinate information, intensity information, grey information, pixel information and the like of a tunnel full-section spatial structure by adopting a three-dimensional scanning point cloud measuring technology, performing automatic filtering processing and point cloud data automatic splicing and generating a tunnel two-dimensional plane model and a three-dimensional space model; realizing the continuous real-time transmission of monitoring data and data flow by adopting a '5S' parallel communication method; introducing a time, motion and rotation multi-dimensional coordinate axis, describing the change posture in a plane, the change posture of a vertical plane and the change posture along with time, performing data filtering and data analysis and realizing seamless butt joint between a monitoring and analysis structure and project construction information; based on an internet of things technology, by adopting a B/S framework and a three-layer system mode as well as seven-level security management, realizing the data monitoring as well as advanced forecasting and construction information real-time processing, update, inquiry, browsing, three-stage early warning and forecasting 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. technical background [0002] 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 informati...

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.

[0005] (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

[0006] (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

[0007] (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

[0008] (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

[0009] (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

[0010] (6) It is necessary for surveyors to enter the tunnel to work, which is easy to affect the construction and has potential safety hazards

[0011] (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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