BIM technology based railway tunnel disease detection system and application method thereof

Abstract

The invention discloses a BIM technology based railway tunnel disease detection system and an application method thereof. The system includes a BIM technology disease detection module, a VR interaction module and a server module which are connected to the BIM technology disease detection module, and a railway tunnel disease management decision-making module and a railway tunnel disease detection device which are connected to the server module. The kernel of the system is the BIM technology disease detection module, and the omnidirectional observation of railway tunnel disease can be realized by establishing a railway tunnel three-dimensional BIM model, so that management personnel can master the whole situation, and railway tunnel disease detection and processed electronic and informationmanagement can be realized based on the BIM model; the railway tunnel disease detection device is small in size and can store and upload detailed information of diseases, so that the detection efficiency and filing accuracy of the diseases can be greatly enhanced; and railway tunnel disease characteristics can be controlled in real time, and the server module can rate traffic accidents according to big data so as to select appropriate disease processing schemes.

Description

technical field [0001] The invention relates to the technical field of railway tunnel disease detection, in particular to a railway tunnel disease detection system based on BIM technology and a method for using it. Background technique [0002] With the rapid development of tunnel engineering in our country, the number of tunnel construction is increasing. Tunnel structures are mostly concrete structures, and many types of diseases have appeared during the operation of railway tunnels, among which water leakage and lining cracking and peeling are more common. When the disease is serious, it will affect the safety of the operation and maintenance of the railway tunnel, resulting in a decrease in the mechanical performance of the structure, a change in the shape of the section, or even an invasion of the limit, which will have an impact that cannot be ignored on the safety of the railway tunnel. Timely and effective disease detection has received more and more attention from ...

AI Technical Summary

Problems solved by technology

Since lighting equipment is usually not installed in railway tunnels, maintenance personnel use flashlights to illuminate and register the specific types and locations of diseases in their daily work. Since the whole set of detection methods is relatively primitive, and the time for repairing skylights is limited, missed inspections often occur and cause serious damage. Greatly reduces the detection efficiency

In addition, after the daily inspection, the management personnel need to sort out and file the disease situation of the railway tunnel, which is likely to reduce the accuracy of the disease information again

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