Deformation detection method and device for PE (Poly Ethylene) pure water conduit

Abstract

The invention discloses a deformation detection method and device for a PE pure water conduit, and relates to the technical field of image processing. According to the method, ground penetrating radar detection, sound wave detection and remote sensing detection are combined, the ground penetrating radar detection is used for determining the central axis of the underground water diversion pipe, so that a two-dimensional sectional view of the underground water diversion pipe is collected along the central axis during sound wave detection, then an initial three-dimensional image is reconstructed, and transverse deformation of the underground water diversion pipe can be accurately detected; and finally, the initial three-dimensional image is corrected through remote sensing detection of ground settlement to obtain a target three-dimensional image, the longitudinal deformation of the underground water conduit can be accurately detected, and finally, the deformation detection precision of the PE pipeline is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of image processing, and in particular to a deformation detection method and device for a PE pure water diversion pipe. Background Art

[0002] The materials currently used in urban water supply networks are diverse. Different pipe materials may be selected according to different uses and conditions. PE pipe is one of the most widely used pipe materials in urban water supply networks. It has good corrosion resistance, toughness, thermal conductivity and environmental protection, and its cost is relatively low. PE pipe is widely used in municipal water supply, drainage, water supply and industrial purposes.

[0003] At present, deformation detection of PE pipes is mainly concentrated in the installation stage. After the soil covering and tamping of the pipeline is completed, deformation detection (maximum radial deformation rate) can determine the deformation of the pipeline during the construction process and ensure the accuracy and stability of the pipeline laying. However, for deformation detection during the use of pipelines, since the pipelines are buried underground and the PE pipelines are neither conductive nor magnetic, the commonly used pipeline detection methods cannot be directly applied. Commonly used pipeline detection methods mainly include electrical method, magnetic method, electromagnetic induction method, electromagnetic wave reflection method, etc. These methods have better detection effects on metal pipelines, but cannot accurately measure the deformation detection of PE pipelines. Summary of the invention

[0004] The purpose of the present invention is to solve the problem that the deformation detection of PE pipes in the above-mentioned background technology cannot be accurately measured, and to propose a deformation detection method and device for PE pure water diversion pipes.

[0005] The purpose of the present invention can be achieved through the following technical solutions: An embodiment of the present invention provides a deformation detection method for a PE pure water diversion pipe, the method comprising: Detecting the water pipe orientation map of the underground water pipe in the target area by ground penetrating radar, and determining the central axis of the underground water pipe and the corresponding ground area according to the water pipe orientation map; Continuously collecting reflected acoustic wave images of the underground water pipe at preset intervals along the central axis, simulating a two-dimensional cross-sectional image of the underground water pipe according to each reflected acoustic wave image, and reconstructing the multiple two-dimensional cross-sectional images into an initial three-dimensional image by axially stretching along the central axis; Acquire a current remote sensing image and a historical remote sensing image of the corresponding ground area, and compare the current remote sensing image with the historical remote sensing image to determine the settlement distance of each position of the corresponding ground area; The initial three-dimensional image is corrected according to the settlement distances of each position in the corresponding ground area to obtain a target three-dimensional image, and the current deformation state of the underground water pipe is determined according to the target three-dimensional image.

[0006] Optionally, a transceiver group consisting of a plurality of parallel ultrasonic transceivers is arranged along the vertical direction of the central axis; the reflected sound wave images of the underground water pipe are continuously collected at preset intervals along the central axis, and the two-dimensional cross-sectional view of the underground water pipe is simulated according to each reflected sound wave image, including: The transceiver group moves along the central axis at a preset interval, and each ultrasonic transceiver performs a round of signal transmission and reception each time it moves, generating a corresponding reflected sound wave image; The multi-source reflected sound wave images of the transceiver group are superimposed to simulate the two-dimensional cross-sectional image of the underground water pipe.

[0007] Optionally, comparing the current remote sensing image with the historical remote sensing image to determine the settlement distance of each position in the corresponding ground area includes: Performing image alignment on the current remote sensing image and the historical remote sensing image to obtain an image pair, and performing grid division on the image pair, using grid cells corresponding to the current remote sensing image and the historical remote sensing image as a grid pair; Inputting the image pair into a preset geographic information system (GIS) software to determine the average three-dimensional coordinates of each grid cell of the current remote sensing image and the historical remote sensing image; The settlement distance of each grid to the average three-dimensional coordinate is calculated to determine the settlement distance of each position in the corresponding ground area.

[0008] Optionally, correcting the initial three-dimensional image according to the settlement distances of each position of the corresponding ground area to obtain a target three-dimensional image includes: Determine different settlement areas according to the settlement distances of each position in the corresponding ground area, and calculate the average layer drop value of each settlement area; Determine the correction parameter of each settlement area according to the average layer drop value of the settlement area; The voxels corresponding to the subsidence area in the initial three-dimensional image are corrected downward according to the correction parameters of the subsidence area to obtain a target three-dimensional image.

[0009] Optionally, determining the current deformation state of the underground water pipe according to the target three-dimensional image includes: Calculate the average radial deformation rate and change area of ​​the underground water pipe according to the target three-dimensional image; the change area includes a lateral change area, a longitudinal change area and a mixed change area; Calculate the offset of each change area relative to the original position, and estimate the stress value increment of each change area according to the offset; The deformation risk level of the underground water pipe is determined based on the average radial deformation rate and the increment of each stress value.

[0010] The embodiment of the present invention further provides a deformation detection device for a PE pure water diversion pipe, the device comprising: A first detection module is used to detect a water pipe trend map of an underground water pipe in a target area by using a ground penetrating radar, and determine a central axis of the underground water pipe and a corresponding ground area according to the water pipe trend map; A second detection module is used to continuously collect reflected sound wave images of the underground water pipe at preset intervals along the central axis, simulate a two-dimensional cross-sectional image of the underground water pipe according to each reflected sound wave image, and reconstruct the multiple two-dimensional cross-sectional images into an initial three-dimensional image by axially stretching along the central axis; A third detection module is used to obtain a current remote sensing image and a historical remote sensing image of the corresponding ground area, and compare the current remote sensing image with the historical remote sensing image to determine the settlement distance of each position of the corresponding ground area; The correction analysis module is used to correct the initial three-dimensional image according to the settlement distance of each position in the corresponding ground area to obtain a target three-dimensional image, and determine the current deformation state of the underground water pipe according to the target three-dimensional image.

[0011] Optionally, a transceiver group consisting of a plurality of parallel ultrasonic transceivers is arranged along the vertical direction of the central axis; the second detection module includes: A collection module, used for the transceiver group to move along the central axis at a preset interval, each ultrasonic transceiver performs a round of signal transmission and reception each time it moves, and generates a corresponding reflected sound wave image; The superposition imaging module is used to superimpose the multi-source reflected sound wave images of the transceiver group to simulate the two-dimensional cross-sectional image of the underground water pipe.

[0012] Optionally, the third detection module includes: An alignment and division module, used for performing image alignment on the current remote sensing image and the historical remote sensing image to obtain an image pair, and performing grid division on the image pair, taking the grid units corresponding to the current remote sensing image and the historical remote sensing image as a grid pair; A positioning module, used for inputting the image pair into a preset geographic information system (GIS) software to determine the average three-dimensional coordinates of each grid cell of the current remote sensing image and the historical remote sensing image; The settlement distance module is used to calculate the settlement distance of each grid to the average three-dimensional coordinate and determine the settlement distance of each position in the corresponding ground area.

[0013] Optionally, the correction analysis module includes an image correction module; the image correction module includes: A settlement area determination module, used to determine different settlement areas according to the settlement distances of each position in the corresponding ground area, and calculate the average layer drop value of each settlement area; A parameter determination module, used to determine the correction parameter of each settlement area according to the average layer drop value of each settlement area; The correction module is used to correct the voxels corresponding to the subsidence area in the initial three-dimensional image downward according to the correction parameters of the subsidence area to obtain a target three-dimensional image.

[0014] Optionally, the correction analysis module further includes a deformation analysis module; the deformation analysis module includes: A deformation determination module, used to calculate the average radial deformation rate and change area of ​​the underground water pipe according to the target three-dimensional image; the change area includes a lateral change area, a longitudinal change area and a mixed change area; A stress calculation module is used to calculate the offset of each change area relative to the original position, and estimate the stress value increment of each change area according to the offset; The deformation risk level determination module is used to determine the deformation risk level of the underground water pipe according to the average radial deformation rate and the increment of each stress value.

[0015] Beneficial effects of the present invention: An embodiment of the present invention provides a deformation detection method for a PE pure water diversion pipe, which detects a water pipe direction map of an underground water diversion pipe in a target area through a ground penetrating radar, and determines the central axis of the underground water diversion pipe and the corresponding ground area according to the water pipe direction map; continuously collects reflected sound wave images of the underground water diversion pipe at preset intervals along the central axis, simulates a two-dimensional cross-sectional image of the underground water diversion pipe according to each reflected sound wave image, and reconstructs multiple two-dimensional cross-sectional images into an initial three-dimensional image by axial stretching along the central axis; obtains a current remote sensing image and a historical remote sensing image of the corresponding ground area, and compares the current remote sensing image with the historical remote sensing image to determine the settlement distance of each position in the corresponding ground area; corrects the initial three-dimensional image according to the settlement distance of each position in the corresponding ground area to obtain a target three-dimensional image, and determines the current deformation state of the underground water diversion pipe according to the target three-dimensional image. This method combines ground penetrating radar detection, acoustic wave detection and remote sensing detection. Ground penetrating radar detection is used to determine the central axis of the underground water pipe, so that a two-dimensional cross-sectional image of the underground water pipe can be collected along the central axis during acoustic wave detection, and then reconstructed into an initial three-dimensional image. The lateral deformation of the underground water pipe can be accurately detected. Finally, the initial three-dimensional image is corrected by remote sensing detection of ground settlement to obtain a target three-dimensional image, which can accurately detect the longitudinal deformation of the underground water pipe, ultimately improving the accuracy of deformation detection of PE pipes. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The present invention will be further described below in conjunction with the accompanying drawings.

[0017] Figure 1 A flow chart of a deformation detection method for a PE pure water diversion pipe provided in an embodiment of the present invention; Figure 2 A schematic diagram of a deformation detection method for a PE pure water diversion pipe provided in an embodiment of the present invention; Figure 3 A schematic diagram of ultrasonic detection of a PE pure water diversion pipe provided by an embodiment of the present invention; Figure 4 A structural diagram of a deformation detection device for a PE pure water diversion pipe provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] The embodiment of the present invention provides a deformation detection method for a PE pure water diversion pipe, see Figure 1 , Figure 1 A flow chart of a deformation detection method for a PE pure water diversion pipe provided in an embodiment of the present invention. The method comprises: S101, detecting a water pipe orientation map of underground water pipes in a target area by using a ground penetrating radar, and determining a central axis of the underground water pipes and a corresponding ground area according to the water pipe orientation map.

[0020] S102, continuously collecting reflected sound wave images of the underground water pipe at preset intervals along the central axis, simulating a two-dimensional cross-sectional image of the underground water pipe according to each reflected sound wave image, and reconstructing the multiple two-dimensional cross-sectional images into an initial three-dimensional image by axially stretching along the central axis.

[0021] S103, obtaining a current remote sensing image and a historical remote sensing image of a corresponding ground area, and comparing the current remote sensing image with the historical remote sensing image to determine the settlement distance of each position of the corresponding ground area.

[0022] S104, correcting the initial three-dimensional image according to the settlement distances at each position of the corresponding ground area to obtain a target three-dimensional image, and determining the current deformation state of the underground water pipe according to the target three-dimensional image.

[0023] A deformation detection method for a PE pure water pipe is provided based on an embodiment of the present invention. The method combines ground penetrating radar detection, acoustic wave detection and remote sensing detection. The ground penetrating radar detection is used to determine the central axis of the underground water pipe, so that a two-dimensional cross-sectional image of the underground water pipe can be collected along the central axis during acoustic wave detection, and then reconstructed into an initial three-dimensional image. The lateral deformation of the underground water pipe can be accurately detected. Finally, the initial three-dimensional image is corrected by remote sensing detection of ground settlement to obtain a target three-dimensional image. The longitudinal deformation of the underground water pipe can be accurately detected, thereby ultimately improving the accuracy of deformation detection of PE pipes.

[0024] In one implementation, due to the properties of PE pipes, ground penetrating radar detection can only obtain the approximate orientation of the underground water pipe. Its purpose is to determine the central axis. To determine the central axis, the lateral offset of the underground water pipe can be determined as the lateral deformation, and the reflected sound wave image of the underground water pipe is continuously collected along the central axis to ensure that the two-dimensional cross-sectional image is the front view of the pipe, which is convenient for subsequent deformation detection. The most important measurement result in deformation detection is the maximum radial deformation rate. If the two-dimensional cross-sectional image is a pipe instead of a front view, the maximum radial deformation rate detection will be too large, affecting the detection accuracy.

[0025] See also Figure 2 , Figure 2 A schematic diagram of a deformation detection method for a PE pure water diversion pipe provided in an embodiment of the present invention. Figure 2 (a) and Figure 2 (b) are ultrasonic inspection images of the underground water pipe in flatness and deformation conditions. The distance from each point on the cross section of the underground water pipe at each collection point to the ground is determined by ultrasound to obtain a two-dimensional cross-sectional image of the underground water pipe. The two-dimensional cross-sectional images of each collection point are arranged in chronological order and reconstructed into an initial three-dimensional image in combination with the central axis. 3D modeling software such as Blender, Maya, 3ds Max can be used, and the two-dimensional cross-sectional image will be reconstructed into an initial three-dimensional image. The steps are as follows: Import a two-dimensional image sequence into the 3D modeling software; create a plane or grid of the same size as the image, and then apply the image as a texture map to the plane; increase the depth by adding an extrusion effect to the plane (the same as the preset spacing); adjust the material of the three-dimensional image to PE material to better display the three-dimensional effect.

[0026] In one embodiment, a transceiver group consisting of a plurality of parallel ultrasonic transceivers is arranged along the vertical direction of the central axis; the reflected sound wave images of the underground water pipe are continuously collected at a preset interval along the central axis, and the two-dimensional cross-sectional view of the underground water pipe is simulated according to each reflected sound wave image, including: The transceiver group moves along the central axis at a preset interval, and each ultrasonic transceiver performs a round of signal transmission and reception each time it moves, generating a corresponding reflected sound wave image; The multi-source reflected sound wave images of the transceiver group are superimposed to simulate the two-dimensional cross-sectional image of the underground water pipe.

[0027] In one implementation, Figure 3 This is a schematic diagram of the ultrasonic detection of a PE pure water pipe provided by an embodiment of the present invention. Figure 3 In part (a), the transceiver group is composed of multiple ultrasonic transceivers (only five ultrasonic transceivers are included in the figure for illustration, but the actual situation is not limited to this), and the straight line formed by the multiple ultrasonic transceivers is perpendicular to the central axis. The number of ultrasonic transceivers in the transceiver group can be determined by the technician according to the diameter of the pipeline to be tested. Figure 3 In part (b), each ultrasonic transceiver can be used as a sound wave signal generator and can also be used to receive reflected sound wave signals from other ultrasonic transceivers (solid arrows represent transmitted ultrasonic waves, and hollow arrows represent reflected ultrasonic waves). Since each ultrasonic transceiver is at a different distance from the central axis, the angles of the multiple reflected sound wave signals received are also different. Therefore, superimposing the multi-source reflected sound wave images to simulate the two-dimensional cross-section of the underground water pipe (first determine the distance between each point on the upper surface of the pipe cross section based on the multi-source reflected sound wave images, simulate the arc segment of the upper surface, and simulate and restore the two-dimensional cross-section of the pipe based on the arc segment and the pipe radius) will simulate the details of the pipe more precisely than single sound source detection, which is convenient for subsequent deformation analysis.

[0028] In one implementation, multiple ultrasonic transceivers of the transceiver group can transmit ultrasonic waves in sequence, and weighted superposition can be performed when superimposing and imaging the sound wave images reflected by multiple sound sources. The closer the ultrasonic transceiver transmitting the ultrasonic wave is to the central axis, the greater the weighting coefficient.

[0029] In one embodiment, comparing the current remote sensing image with the historical remote sensing image to determine the settlement distance of each position of the corresponding ground area includes: Aligning the current remote sensing image with the historical remote sensing image to obtain an image pair, and dividing the image pair into grids, with the grid cells corresponding to the current remote sensing image and the historical remote sensing image being taken as a grid pair; The image pairs are input into the preset geographic information system (GIS) software to determine the average three-dimensional coordinates of each grid cell of the current remote sensing image and the historical remote sensing image; The settlement distance of each grid to the average three-dimensional coordinate is calculated, and the settlement distance of each position in the corresponding ground area is determined.

[0030] In one implementation, the historical remote sensing image may be a remote sensing image collected after the construction of the underground water pipe is completed. The current remote sensing image and the historical remote sensing image are aligned, and a correlation-based alignment method is used to maximize the global correlation between the two images to estimate the geometric transformation parameters between the images.

[0031] The settlement distance of each grid to the average three-dimensional coordinate is calculated, that is, the average three-dimensional coordinate of each grid unit in the historical remote sensing image is subtracted from the average three-dimensional coordinate of the corresponding grid unit in the current remote sensing image to obtain the settlement distance of each unit.

[0032] In one embodiment, correcting the initial three-dimensional image according to the settlement distances at each position of the corresponding ground area to obtain the target three-dimensional image includes: Determine different settlement areas according to the settlement distances at each location in the corresponding ground area, and calculate the average layer drop value of each settlement area; Determine the correction parameter of each settlement area according to the average layer drop value of the settlement area; The voxels corresponding to the subsidence area in the initial three-dimensional image are corrected downward according to the correction parameters of the subsidence area to obtain a target three-dimensional image.

[0033] In one implementation, the settlement area can be divided into a stable area, a low-level settlement area, and a high-level settlement area according to the average layer drop value of each settlement area, and the average layer drop values ​​of the above settlement areas are increased in sequence (for example, a settlement area less than 5 mm is a stable area, a settlement area not less than 5 mm and less than 1 cm is a low-level settlement area, and a settlement area not less than 1 cm is a high-level settlement area). The correction parameters of the stable area and the low-level settlement area are 0, and the correction parameters of the high-level settlement area are calculated using formula (1). (1) in, To correct the parameters and is the preset parameter, for, and are the outer radius and inner radius of the underground water pipe section, is the depth of the underground water pipe.

[0034] In one embodiment, determining the current deformation state of the underground water pipe according to the target three-dimensional image includes: Calculate the average radial deformation rate and change area of ​​the underground water pipe according to the target three-dimensional image; the change area includes the lateral change area, the longitudinal change area and the mixed change area; Calculate the offset of each change area relative to the original position, and estimate the stress value increment of each change area according to the offset; The deformation risk level of the underground water pipe is determined based on the average radial deformation rate and the increment of each stress value.

[0035] In one implementation, the average radial deformation rate may be obtained by averaging the maximum radial deformation rates of each two-dimensional cross-sectional image.

[0036] In one implementation, the mixed change region undergoes both transverse and longitudinal deformations, and the transverse stress and the longitudinal stress should be calculated synthetically when solving the stress value increment.

[0037] Based on the same inventive concept, an embodiment of the present invention provides a deformation detection device for a PE pure water diversion pipe, the device comprising: The first detection module is used to detect the water pipe trend map of the underground water pipe in the target area through the ground penetrating radar, and determine the central axis of the underground water pipe and the corresponding ground area according to the water pipe trend map; The second detection module is used to continuously collect reflected sound wave images of the underground water pipe at preset intervals along the central axis, simulate a two-dimensional cross-sectional image of the underground water pipe according to each reflected sound wave image, and reconstruct the multiple two-dimensional cross-sectional images into an initial three-dimensional image by axially stretching along the central axis; The third detection module is used to obtain the current remote sensing image and the historical remote sensing image of the corresponding ground area, and compare the current remote sensing image with the historical remote sensing image to determine the settlement distance of each position of the corresponding ground area; The correction analysis module is used to correct the initial three-dimensional image according to the settlement distance of each position in the corresponding ground area to obtain a target three-dimensional image, and determine the current deformation state of the underground water pipe according to the target three-dimensional image.

[0038] In one embodiment, a transceiver group consisting of a plurality of parallel ultrasonic transceivers is arranged in a vertical direction along the central axis; the second detection module includes: The acquisition module is used for the transceiver group to move along the central axis at a preset interval. Each ultrasonic transceiver performs a round of signal transmission and reception each time it moves, and generates a corresponding reflected sound wave image; The superposition imaging module is used to superimpose the multi-source reflected sound wave images of the transceiver group to simulate the two-dimensional cross-sectional image of the underground water pipe.

[0039] In one embodiment, the third detection module includes: An alignment and division module is used to align the current remote sensing image and the historical remote sensing image to obtain an image pair, and to divide the image pair into grids, using the grid units corresponding to the current remote sensing image and the historical remote sensing image as the grid pair; A positioning module is used to input the image pair into a preset geographic information system (GIS) software to determine the average three-dimensional coordinates of each grid cell of the current remote sensing image and the historical remote sensing image; The settlement distance module is used to calculate the settlement distance of each grid to the average three-dimensional coordinate and determine the settlement distance of each position in the corresponding ground area.

[0040] In one embodiment, the correction analysis module includes an image correction module; the image correction module includes: A settlement area determination module is used to determine different settlement areas according to the settlement distances at various locations in the corresponding ground area, and calculate the average layer drop value of each settlement area; A parameter determination module, used to determine the correction parameter of each settlement area according to the average layer drop value of each settlement area; The correction module is used to correct the voxels corresponding to the subsidence area in the initial three-dimensional image downward according to the correction parameters of the subsidence area to obtain a target three-dimensional image.

[0041] In one embodiment, the correction analysis module further includes a deformation analysis module; the deformation analysis module includes: A deformation determination module is used to calculate the average radial deformation rate and change area of ​​the underground water pipe according to the target three-dimensional image; the change area includes a lateral change area, a longitudinal change area and a mixed change area; A stress calculation module is used to calculate the offset of each change area relative to the original position, and estimate the stress value increment of each change area according to the offset; The deformation risk level determination module is used to determine the deformation risk level of the underground water pipe according to the average radial deformation rate and the increment of each stress value.

[0042] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A deformation detection method for a PE pure water diversion pipe, characterized in that: The method comprises: Detecting the water pipe orientation map of the underground water pipe in the target area by ground penetrating radar, and determining the central axis of the underground water pipe and the corresponding ground area according to the water pipe orientation map; Continuously collecting reflected acoustic wave images of the underground water pipe at preset intervals along the central axis, simulating a two-dimensional cross-sectional image of the underground water pipe according to each reflected acoustic wave image, and reconstructing the multiple two-dimensional cross-sectional images into an initial three-dimensional image by axially stretching along the central axis; Acquire a current remote sensing image and a historical remote sensing image of the corresponding ground area, and compare the current remote sensing image with the historical remote sensing image to determine the settlement distance of each position of the corresponding ground area; The initial three-dimensional image is corrected according to the settlement distances of each position in the corresponding ground area to obtain a target three-dimensional image, and the current deformation state of the underground water pipe is determined according to the target three-dimensional image.

2. A deformation detection method for a PE pure water diversion pipe according to claim 1, characterized in that: A transceiver group consisting of a plurality of parallel ultrasonic transceivers is arranged in a vertical direction along the central axis; Continuously collecting reflected sound wave images of the underground water pipe at preset intervals along the central axis, and simulating a two-dimensional cross-sectional view of the underground water pipe according to each reflected sound wave image includes: The transceiver group moves along the central axis at a preset interval, and each ultrasonic transceiver performs a round of signal transmission and reception each time it moves, generating a corresponding reflected sound wave image; The multi-source reflected sound wave images of the transceiver group are superimposed to simulate the two-dimensional cross-sectional image of the underground water pipe.

3. The deformation detection method of a PE pure water diversion pipe according to claim 1 is characterized in that: And comparing the current remote sensing image with the historical remote sensing image to determine the settlement distance of each position of the corresponding ground area includes: Performing image alignment on the current remote sensing image and the historical remote sensing image to obtain an image pair, and performing grid division on the image pair, using grid cells corresponding to the current remote sensing image and the historical remote sensing image as a grid pair; Input the image pair into a preset geographic information system (GIS) software to determine the average three-dimensional coordinates of each grid cell of the current remote sensing image and the historical remote sensing image; The settlement distance of each grid to the average three-dimensional coordinate is calculated to determine the settlement distance of each position in the corresponding ground area.

4. A deformation detection method for a PE pure water diversion pipe according to claim 1, characterized in that: Correcting the initial three-dimensional image according to the settlement distances of each position of the corresponding ground area to obtain a target three-dimensional image includes: Determine different settlement areas according to the settlement distances of each position in the corresponding ground area, and calculate the average layer drop value of each settlement area; Determine the correction parameter of each settlement area according to the average layer drop value of the settlement area; The voxels corresponding to the subsidence area in the initial three-dimensional image are corrected downward according to the correction parameters of the subsidence area to obtain a target three-dimensional image.

5. A deformation detection method for a PE pure water diversion pipe according to claim 4, characterized in that: Determining the current deformation state of the underground water pipe according to the target three-dimensional image includes: Calculate the average radial deformation rate and change area of ​​the underground water pipe according to the target three-dimensional image; the change area includes a lateral change area, a longitudinal change area and a mixed change area; Calculate the offset of each change area relative to the original position, and estimate the stress value increment of each change area according to the offset; The deformation risk level of the underground water pipe is determined based on the average radial deformation rate and the increment of each stress value.

6. A deformation detection device for a PE pure water diversion pipe, characterized in that: The device comprises: A first detection module is used to detect a water pipe trend map of an underground water pipe in a target area by using a ground penetrating radar, and determine a central axis of the underground water pipe and a corresponding ground area according to the water pipe trend map; A second detection module is used to continuously collect reflected sound wave images of the underground water pipe at preset intervals along the central axis, simulate a two-dimensional cross-sectional image of the underground water pipe according to each reflected sound wave image, and reconstruct the multiple two-dimensional cross-sectional images into an initial three-dimensional image by axially stretching along the central axis; A third detection module is used to obtain a current remote sensing image and a historical remote sensing image of the corresponding ground area, and compare the current remote sensing image with the historical remote sensing image to determine the settlement distance of each position of the corresponding ground area; The correction analysis module is used to correct the initial three-dimensional image according to the settlement distance of each position in the corresponding ground area to obtain a target three-dimensional image, and determine the current deformation state of the underground water pipe according to the target three-dimensional image.

7. A deformation detection device for a PE pure water diversion pipe according to claim 6, characterized in that: A transceiver group consisting of a plurality of parallel ultrasonic transceivers is arranged along the vertical direction of the central axis; the second detection module includes: A collection module, used for the transceiver group to move along the central axis at a preset interval, each ultrasonic transceiver performs a round of signal transmission and reception each time it moves, and generates a corresponding reflected sound wave image; The superposition imaging module is used to superimpose the multi-source reflected sound wave images of the transceiver group to simulate the two-dimensional cross-sectional image of the underground water pipe.

8. A deformation detection device for a PE pure water diversion pipe according to claim 6, characterized in that: The third detection module comprises: An alignment and division module, used for performing image alignment on the current remote sensing image and the historical remote sensing image to obtain an image pair, and performing grid division on the image pair, taking the grid units corresponding to the current remote sensing image and the historical remote sensing image as a grid pair; A positioning module, used for inputting the image pair into a preset geographic information system (GIS) software to determine the average three-dimensional coordinates of each grid cell of the current remote sensing image and the historical remote sensing image; The settlement distance module is used to calculate the settlement distance of each grid to the average three-dimensional coordinate and determine the settlement distance of each position in the corresponding ground area.

9. A deformation detection device for a PE pure water diversion pipe according to claim 6, characterized in that: The correction analysis module includes an image correction module; the image correction module includes: A settlement area determination module, used to determine different settlement areas according to the settlement distances of each position in the corresponding ground area, and calculate the average layer drop value of each settlement area; A parameter determination module, used to determine the correction parameter of each settlement area according to the average layer drop value of each settlement area; The correction module is used to correct the voxels corresponding to the subsidence area in the initial three-dimensional image downward according to the correction parameters of the subsidence area to obtain a target three-dimensional image.

10. A deformation detection device for a PE pure water diversion pipe according to claim 9, characterized in that: The correction analysis module also includes a deformation analysis module; The deformation analysis module includes: A deformation determination module, used to calculate the average radial deformation rate and change area of ​​the underground water pipe according to the target three-dimensional image; the change area includes a lateral change area, a longitudinal change area and a mixed change area; A stress calculation module is used to calculate the offset of each change area relative to the original position, and estimate the stress value increment of each change area according to the offset; The deformation risk level determination module is used to determine the deformation risk level of the underground water pipe according to the average radial deformation rate and the increment of each stress value.

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