A real-time radar settlement detection system and method for tunnels

Abstract

This invention discloses a real-time radar settlement detection system and method for tunnels, comprising a central processing module, a control module, a data acquisition module, and a power supply module, all housed within a custom-designed sealed housing. The advantages of this invention are its ability to achieve all-weather, fully automated real-time detection of tunnel settlement data, triggering an alarm when the settlement value exceeds a set threshold. This effectively reduces the workload of supervisors, minimizes personnel redundancy, and ensures the safety of supervisors working in high-risk environments.

Description

Technical Field

[0001] This invention belongs to the technical field of engineering supervision equipment, specifically relating to a real-time radar settlement detection system for tunnels. Background Technology

[0002] Existing tunnel deformation detection equipment includes total stations, GPS deformation displacement detection equipment, and radar deformation measurement equipment. These devices cannot achieve all-weather, fully automatic detection of tunnel deformation and timely early warning of deformation. Moreover, they are expensive and require a lot of manpower and financial resources. Therefore, this invention proposes to perform all-weather, fully automatic detection of tunnel deformation, process the detection data in a timely manner, set alarm thresholds, and issue alarms in a timely manner to ensure personnel safety. Summary of the Invention

[0003] To overcome the shortcomings of the prior art, the present invention provides a real-time radar settlement detection system for tunnels.

[0004] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0005] A detection method based on a real-time settlement detection system for tunnels using radar, wherein the real-time settlement detection system for tunnels using radar includes a central processing module, a control module, a data acquisition module, and a power supply module; the central processing module, control module, data acquisition module, and power supply module are placed in a sealed cavity of a settlement detection device; the data acquisition module includes two sets of single-point lidar modules; the control module is a two-degree-of-freedom horizontal rotating gimbal; and the data collected by the two sets of single-point lidar modules is transmitted to the central processing module.

[0006] Includes the following steps:

[0007] Step 1: Use two sets of single-point lidar modules to collect data and measure the distances S2 and S1 from the settlement detection device to the tunnel upper wall and tunnel side wall, respectively;

[0008] Step 2: Obtain the tunnel settlement value X and convergence value Y using formulas (1) and (2), respectively.

[0009] X = S²·sinθ (1)

[0010] Y = S1·cosφ (φ = 0°) (2)

[0011] Where θ is the fixed angle between the two sets of single-point lidar modules. The rotation angle of the horizontal rotating gimbal;

[0012] Use X k ,Y K(k=1,2,3......n) represents the tunnel settlement value and convergence value at the kth time. The settlement convergence value of the tunnel cross section at the tunnel D meters can be obtained by using formulas (3) and (4):

[0013] X D =X k -X k-1 (3)

[0014] Y D =Y k -Y k-1 (4);

[0015] Step 3: Measure the settlement convergence value at another cross-section, and rotate the horizontal rotating platform by an angle. The distances from the settlement detection device to the tunnel upper wall and tunnel side wall were measured using data collected by two sets of single-point lidar modules, respectively, as S2' and S1'. Then:

[0016] Cross-sectional settlement value:

[0017] X = S′2·sinθ;

[0018] Step 4: Adjust the rotation angle of the horizontal rotating gimbal to... Data was collected using two sets of single-point lidar modules, and the distance from the settlement detection device to the tunnel sidewall was measured as S″1, thus obtaining:

[0019] Convergence value at section:

[0020]

[0021] Step 5: Using the methods in steps 3 and 4, collect data multiple times, using X... k ',Y K '(k=1,2,3......n) represents the tunnel settlement value and convergence value at the k-th time. The following formula can be used to obtain the settlement value in the tunnel. Settlement convergence value of tunnel cross section at meter:

[0022]

[0023]

[0024] A real-time tunnel radar settlement detection system that applies the above-mentioned detection method, wherein the settlement detection device is fixed to the tunnel wall.

[0025] Furthermore, the two sets of single-point laser modules in the data acquisition module are set at a fixed angle, which can be set according to the actual detection site.

[0026] Furthermore, the control module controls the settlement detection device to rotate horizontally.

[0027] Furthermore, the power supply module supplies power to the central processing module, control module, and data acquisition module.

[0028] Furthermore, the data acquisition module can acquire data using wired or wireless methods.

[0029] Compared with the prior art, the beneficial effects of the present invention are: the present invention can realize all-weather, fully automatic measurement of tunnel settlement value, and can process data in real time to obtain the settlement value of the current section position in a timely manner. It can promptly issue an alarm for sections whose deformation exceeds the set threshold. The settlement detection device can realize multi-point detection, which greatly improves the device utilization rate. The accuracy of the detection system can reach the millimeter level, and the cost is far lower than that of the existing settlement detection system. Attached Figure Description

[0030] Figure 1 This is a perspective view of the present invention.

[0031] Figure 2 This is a structural diagram of the present invention.

[0032] Figure 3 This is a schematic diagram illustrating the measurement principle of the present invention.

[0033] Figure 4 This is a schematic diagram of tunnel measurement according to the present invention.

[0034] Figure 5 This is a schematic diagram of Example 2. Figure 1

[0035] Figure 6 This is a schematic diagram of Example 2. Figure 2

[0036] Figure 7 This is a schematic diagram of Example 2. Figure 3

[0037] In the diagram: 1. Antenna; 2. Power supply module; 3. Lens; 4. Outlet hole; 5. Central processing module; 6. Control module; 7. Light outlet hole; 8. Single-point lidar module 1; 9. Single-point lidar module 2; 10. Metal turntable; 14. Tunnel upper wall; 15. Tunnel side wall; 16. Settlement detection device. Detailed Implementation

[0038] The present invention will now be described in further detail with reference to the accompanying drawings:

[0039] Example 1: As Figure 1-4As shown, a real-time radar settlement detection system for tunnels includes a central processing module 5, a power supply module 2, data acquisition modules 8 and 9, a control module 6, and an antenna 1; the central processing module 5, the power supply module 2, the data acquisition modules 8 and 9, the control module 6, and the antenna 1 are electrically connected.

[0040] Working principle: First, data acquisition modules 8 and 9 measure the distances from the settlement detection device to the tunnel upper wall and tunnel side wall, respectively. Then, the control module 6 rotates the detection device to collect data from multiple points and transmits the collected data to the central processing module 5. The central processing module 5 transmits the information to the remote control terminal via wireless transmission. The remote control terminal performs coordinate transformation processing on the raw data to obtain the tunnel settlement and convergence values.

[0041] The data acquisition modules 8 and 9 form a fixed angle θ, the value of which is set according to different tunnels. When measuring the tunnel deformation value, the data acquisition modules 8 and 9 are fixed to the tunnel sidewall. The value of θ is determined through field testing, so that the light from the laser sensor 1 hits the tunnel top surface and the light from the laser sensor 2 hits the tunnel sidewall horizontally.

[0042] Single-point lidar module 8 (number 1) collects the hypotenuse length S2, and single-point lidar module 9 (number 2) collects the base length S1. The value of X is calculated using formula (1). k (k = 1, 2, 3, ..., n) represents the length of the tunnel bottom edge obtained in the k-th sampling. Similarly, y k Let θ represent the value calculated in the k-th iteration. θ is the fixed angle between the two sets of single-point lidar modules. The rotation angle of the horizontal rotating gimbal;

[0043] Use X k ,Y K (k=1,2,3......n) represents the tunnel settlement value and convergence value at the kth time. The settlement convergence value of the tunnel cross section at the tunnel D meters can be obtained by using formulas (3) and (4):

[0044] X = S²·sinθ (1)

[0045] Y = S1·cosφ (φ = 0°) (2)

[0046] X D =X k -X k-1 (3)

[0047] Y D =Y k -Y k-1 (4);

[0048] The control module 6 can rotate the data acquisition modules 8 and 9 by Ф degrees. The limit of the rotation angle needs to be determined by on-site measurement according to different scenarios.

[0049] Example 2:

[0050] Let the settlement value be X and the convergence value be Y. When the active device angle is 0°, let the data measured by laser 1 be S1 and the data measured by laser 2 be S2. This laser module is located at a distance D meters in the tunnel, and the laser angle is θ = 30°. When the active device rotates... Let the data measured by laser 1 be S1' and the data measured by laser 2 be S2'.

[0051] like Figure 5 As shown, assuming the active device is located at a distance D meters in the tunnel, when the active device rotates by an angle of... At that time, the active device measures the data at the cross-section of the tunnel.

[0052] Cross-sectional diagram as shown Figure 6 As shown:

[0053] At tunnel depth D meters, the tunnel settlement convergence values ​​are respectively

[0054] X = S²·sinθ

[0055]

[0056] When the active device rotates At times, such as Figure 7 As shown:

[0057] Settlement value at location:

[0058] X = S′2·sinθ

[0059] Convergence value:

[0060]

[0061] Since these are settlement and convergence values ​​at different locations, it is necessary to further obtain the corresponding values ​​at the same location:

[0062]

[0063] Rotate the active device

[0064] Convergence value:

[0065]

[0066] Where S″1 is the data measured by laser 1.

[0067] Finally, it should be noted that this invention is not limited to the optional embodiments described above, and anyone can derive other various forms of products under the guidance of this invention. The specific embodiments described above should not be construed as limiting the scope of protection of this invention, which should be determined by the claims, and the specification can be used to interpret the claims.

Claims

1. A detection method based on a real-time settlement detection system for tunnels using radar, wherein the real-time settlement detection system for tunnels using radar includes a central processing module, a control module, a data acquisition module, and a power supply module; the central processing module, control module, data acquisition module, and power supply module are placed in a sealed cavity of a settlement detection device; the data acquisition module includes two sets of single-point lidar modules; the control module is a two-degree-of-freedom horizontal rotating gimbal; and the data acquired by the two sets of single-point lidar modules is transmitted to the central processing module. Includes the following steps: Step 1: Use two sets of single-point lidar modules to collect data and measure the distances S2 and S1 from the settlement detection device to the tunnel upper wall and tunnel side wall, respectively; Step 2: Obtain the tunnel settlement value X and convergence value Y using formulas (1) and (2), respectively. （1） （2） in, The fixed angle between the two sets of single-point lidar modules The rotation angle of the horizontal rotating gimbal; Use X k ,Y K k=1,2,3......n represents the tunnel settlement value and convergence value at the kth time. The settlement convergence value of the tunnel cross section at the tunnel D meters can be obtained by using formulas (3) and (4): X D =X k -X k-1 (3) AND D =Y k -AND k-1 (4); Step 3: Measure the settlement convergence value at another cross-section, and rotate the horizontal rotating platform by an angle. The distances from the settlement detection device to the tunnel upper wall and tunnel side wall are measured using data collected by two sets of single-point lidar modules, respectively, as S2' and S1'. Then: Cross-sectional settlement value: ； Convergence value: Step 4: Since the settlement and convergence values ​​are from different locations, it is necessary to further obtain the corresponding values ​​at the same location: Then adjust the rotation angle of the horizontal rotating gimbal to... Data was collected using two sets of single-point lidar modules, and the distance from the settlement detection device to the tunnel sidewall was measured. Thus we get: Convergence value at section: Step 5: Using the methods in steps 3 and 4, collect data multiple times, using X... k ',Y K Let k = 1, 2, 3, ..., n represent the tunnel settlement value and convergence value at the k-th time. The following formula can be used to obtain the settlement value in the tunnel. Settlement convergence value of tunnel cross section at meter: ， 。 2. A real-time tunnel radar settlement detection system applying the detection method of claim 1, characterized in that: The settlement detection device is fixed to the tunnel wall.

3. The tunnel radar settlement real-time detection system according to claim 2, characterized in that: The data acquisition module has two sets of single-point laser modules with a fixed angle, which can be set according to the actual detection site.

4. The tunnel radar settlement real-time detection system according to claim 2, characterized in that: The control module controls the settlement detection device to rotate horizontally.

5. The tunnel radar settlement real-time detection system according to claim 2, characterized in that: The power supply module provides power to the central processing module, control module, and data acquisition module.

6. The tunnel radar settlement real-time detection system according to claim 2, characterized in that: The data acquisition module can acquire data using wired or wireless methods.

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