CN-121999430-A - Method, device, equipment, medium and product for monitoring tunnel super-underexcavation

CN121999430ACN 121999430 ACN121999430 ACN 121999430ACN-121999430-A

Abstract

The application provides a method, a device, equipment, a medium and a product for monitoring the super-underexcavation of a tunnel, and relates to the field of tunnel construction. The method comprises the steps of adopting a first preset acquisition unit to acquire real-time point cloud data of a tunnel to be monitored, adopting a second preset acquisition unit to acquire profile data of the tunnel to be monitored, carrying out data fusion processing according to the real-time point cloud data and the profile data to obtain a real-time tunnel three-dimensional model of the tunnel to be monitored, acquiring a design three-dimensional model of the tunnel to be monitored, determining undermining information of the tunnel to be monitored according to the real-time tunnel three-dimensional model and the design three-dimensional model, and displaying the undermining information on a preset display interface. The application solves the technical problems that the modern sensing technology in the prior art has poor environmental adaptability and is difficult to realize accurate and real-time monitoring of the super-undermining, thereby leading to lower monitoring efficiency of the super-undermining of the tunnel.

Inventors

ZHAO ZONGHUA
HE BONING
PENG HONGJUN
WU YUHUI
LIU ZHU
CHEN YAO

Assignees

中国铁建重工集团股份有限公司
中国铁建股份有限公司

Dates

Publication Date: 20260508
Application Date: 20251216

Claims (12)

1. The utility model provides a tunnel's super undermining monitoring method which characterized in that includes: Acquiring real-time point cloud data of a tunnel to be monitored by adopting a first preset acquisition unit; A second preset acquisition unit is adopted to acquire the profile data of the tunnel to be monitored; according to the real-time point cloud data and the contour data, carrying out data fusion processing to obtain a real-time tunnel three-dimensional model of the tunnel to be monitored; acquiring a design three-dimensional model of the tunnel to be monitored; determining the super-underexcavation information of the tunnel to be monitored according to the real-time tunnel three-dimensional model and the design three-dimensional model; and displaying the underrun information on a preset display interface.
2. The method of claim 1, wherein the performing data fusion processing according to the real-time point cloud data and the profile data to obtain the real-time tunnel three-dimensional model of the tunnel to be monitored comprises: acquiring a preset error model of the tunnel to be monitored; Correcting the profile data according to the preset error model to obtain corrected profile data; and carrying out data fusion processing according to the real-time point cloud data and the corrected contour data to obtain the real-time tunnel three-dimensional model of the tunnel to be monitored.
3. The method of claim 2, further comprising, prior to said obtaining the preset error model of the tunnel to be monitored: Acquiring the target point cloud data of the tunnel to be monitored, which is acquired by the first preset acquisition unit; acquiring calibration contour data of the tunnel to be monitored, which is acquired by the second preset acquisition unit; And performing comparison and fitting processing according to the calibration point cloud data and the calibration contour data to obtain a preset error model of the tunnel to be monitored.
4. A method according to any one of claims 1 to 3, wherein the first preset acquisition unit is a three-dimensional laser scanner; the second preset acquisition unit is a millimeter wave radar.
5. A method according to any one of claims 1 to 3, wherein said determining the underrun information of the tunnel to be monitored from the real-time tunnel three-dimensional model and the design three-dimensional model comprises: determining a plurality of fusion point clouds according to the real-time tunnel three-dimensional model; Calculating the symbol distance between the fusion point cloud and the triangular patch closest to the design three-dimensional model; and determining the super-undermining information of the tunnel to be monitored according to the symbol distance.
6. The method of claim 5, wherein the determining the underrun information of the tunnel to be monitored based on the symbol distance comprises: If the symbol distance is 0, determining that the tunnel to be monitored is free of the phenomenon of super-undermining; if the symbol distance is greater than 0, determining that the tunnel to be monitored has an overexcavation phenomenon; If the symbol distance is smaller than 0, determining that the tunnel to be monitored has a undermining phenomenon; And if the symbol distance is larger than 0 or smaller than 0, determining the super-undermining data information, wherein the super-undermining data information comprises at least one of area, volume and area change trend.
7. The method of claim 6, wherein the determining the underrun data information comprises: carrying out voxelization treatment on the curved surface of the designed three-dimensional model along the normal direction to obtain a plurality of voxels; calculating the average value of the symbol distances of all fusion point clouds in the voxels; Calculating the overexcavation or underexcavation volume represented by the voxels according to the average value and the area of the designed curved surface micro element corresponding to the voxels; and counting the volumes of all voxels to obtain the super-undermining data information of the tunnel to be monitored.
8. A method according to any one of claims 1 to 3, wherein displaying the underrun information on a preset display interface comprises: Performing rendering generation processing according to the super-undermining information to obtain super-undermining rendering data; and displaying the super-undermining rendering data on a preset display interface.
9. The utility model provides a super undermining monitoring devices in tunnel which characterized in that includes: the first acquisition module is used for acquiring real-time point cloud data of the tunnel to be monitored by adopting a first preset acquisition unit; the second acquisition module is used for acquiring the profile data of the tunnel to be monitored by adopting a second preset acquisition unit; The fusion module is used for carrying out data fusion processing according to the real-time point cloud data and the profile data so as to obtain a real-time tunnel three-dimensional model of the tunnel to be monitored; the acquisition module is used for acquiring the designed three-dimensional model of the tunnel to be monitored; The determining module is used for determining the super-underexcavation information of the tunnel to be monitored according to the real-time tunnel three-dimensional model and the design three-dimensional model; and the display module is used for displaying the super-undermining information on a preset display interface.
10. The tunnel undermining monitoring device is characterized by comprising a memory and a processor; The memory stores computer-executable instructions; The processor executing computer-executable instructions stored in the memory, causing the processor to perform the method of any one of claims 1-8.
11. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor are adapted to carry out the method of any one of claims 1-8.
12. A computer program product comprising a computer program which, when executed by a processor, implements the method of any of claims 1-8.

Description

Method, device, equipment, medium and product for monitoring tunnel super-underexcavation Technical Field The application relates to the field of tunnel construction, in particular to a method, a device, equipment, a medium and a product for monitoring the super-underexcavation of a tunnel. Background In tunnel construction, overexcavation (the excavation amount exceeds the design value) and underexcavation (the excavation amount is insufficient than the design value) can directly affect engineering cost, construction safety and structural stability. Therefore, the real-time detection and analysis of the tunnel over-and-under-excavation condition has important significance for optimizing the construction process and improving the engineering quality. In the traditional super-undermining detection method, traditional equipment such as a main total station and a section instrument collect data, the traditional equipment needs to be manually and repeatedly erected and measured point by point, and then data processing is carried out based on a static design model. At present, a modern sensing technology represented by three-dimensional laser scanning is introduced into the super-undermining detection method, and the identification and the square computation of the super-undermining area are realized through automatic preprocessing, intelligent segmentation and three-dimensional modeling of high-density point cloud data. However, the modern sensing technology in the prior art has poor environmental adaptability, and accurate and real-time monitoring of the super-undermining is difficult to realize, so that the super-undermining monitoring efficiency of the tunnel is low. Disclosure of Invention The application provides a method, a device, equipment, a medium and a product for monitoring the super-undermining of a tunnel, which are used for solving the problems that the modern sensing technology in the prior art is poor in environmental adaptability, accurate and real-time monitoring of the super-undermining is difficult to realize, and the super-undermining monitoring efficiency of the tunnel is low. In a first aspect, the present application provides a method for monitoring over-and-under excavation of a tunnel, including: Acquiring real-time point cloud data of a tunnel to be monitored by adopting a first preset acquisition unit; acquiring profile data of a tunnel to be monitored by adopting a second preset acquisition unit; According to the real-time point cloud data and the contour data, carrying out data fusion processing to obtain a real-time tunnel three-dimensional model of the tunnel to be monitored; Obtaining a designed three-dimensional model of a tunnel to be monitored; determining the super-underexcavation information of the tunnel to be monitored according to the real-time tunnel three-dimensional model and the design three-dimensional model; And displaying the super-undermining information on a preset display interface. In one possible design, according to the real-time point cloud data and the contour data, performing data fusion processing to obtain a real-time tunnel three-dimensional model of the tunnel to be monitored, including: Acquiring a preset error model of a tunnel to be monitored; correcting the contour data according to a preset error model to obtain corrected contour data; and carrying out data fusion processing according to the real-time point cloud data and the corrected contour data to obtain a real-time tunnel three-dimensional model of the tunnel to be monitored. In one possible design, before acquiring the preset error model of the tunnel to be monitored, the method further includes: Acquiring the target point cloud data of the tunnel to be monitored, which is acquired by a first preset acquisition unit; acquiring calibration contour data of the tunnel to be monitored, which is acquired by a second preset acquisition unit; And performing comparison and fitting processing according to the calibration point cloud data and the calibration contour data to obtain a preset error model of the tunnel to be monitored. In one possible design, the first preset acquisition unit is a three-dimensional laser scanner; The second preset acquisition unit is a millimeter wave radar. In one possible design, determining the underrun information of the tunnel to be monitored according to the real-time tunnel three-dimensional model and the design three-dimensional model includes: Determining a plurality of fusion point clouds according to the real-time tunnel three-dimensional model; Calculating the symbol distance between the fusion point cloud and the triangular patch closest to the design three-dimensional model; And determining the super-underexcavation information of the tunnel to be monitored according to the symbol distance. In one possible design, determining the underrun information of the tunnel to be monitored according to the symbol distance includes: If the symbol distance is 0, deter