Static load stacking settlement measurement method based on machine vision and intelligent terminal thereof

Abstract

The invention relates to the technical field of pile foundation detection, in particular to a static load stacking settlement measurement method based on machine vision and an intelligent terminal thereof. The method comprises the following steps: S1, controlling the hydraulic loading device to reach a set load Q; s2, according to a set time interval, controlling each camera to collect images of corresponding markers at the same time; s3, performing image processing on each acquired image to obtain image information, and processing the image information through a camera mathematical model to obtain the settlement variation of each marker; s4, according to the settlement variation of each marker, calculating the settlement deformation of the foundation pile at different time points under the load Q through interpolation; and S5, the step S1 to the step S4 are repeated until the loading termination condition is reached, the foundation pile settlement deformation amount of each time node under each stage of load Q is derived, and a Q-s curve of the final settlement amount under different loads Q is formed. According to the invention, a reference beam does not need to be built, the measurement precision is improved, and continuous measurement of settlement can be realized.

Description

Technical Field

[0001] This invention relates to the field of pile foundation testing technology, and in particular to a static load settlement measurement method based on machine vision and its intelligent terminal. Background Technology

[0002] Currently, in the construction process of various engineering projects, static load testing is an indispensable test step for evaluating the bearing capacity of the foundation. This involves applying vertical pressure to the top of the pile in stages and observing the settlement of the pile top over time to determine the ultimate vertical compressive bearing capacity of the pile. The slow-maintained load Q method is typically used in the test. Specifically, the load Q is applied to the pile in stages according to certain requirements. Before the pile settlement reaches a certain specified relative stability standard, the load Q remains unchanged for that stage. When the stability standard is reached, the next stage of load Q is applied. Loading is terminated when the specified termination conditions are met, and then the load is gradually unloaded to zero. The test requires measuring the settlement deformation of the pile foundation under different loads Q to analyze the ultimate bearing capacity of the foundation. Current methods for measuring foundation settlement primarily rely on dial gauges, requiring manual periodic readings. This necessitates significant manual labor, as workers must multitask simultaneously. This not only places immense demands on manpower but also increases the risk of distraction, reducing efficiency and consequently affecting accuracy. As the pile load Q continues to increase, the pressure on the support platform gradually rises, making manual gauge readings increasingly dangerous. A single instance of poor pile quality could lead to the collapse of the support platform, resulting in fatalities. While some methods utilize digital dial gauges paired with automatic data acquisition modules, the construction of a reference beam remains a cumbersome process. Summary of the Invention

[0003] The technical problem to be solved by this invention is that, in order to solve the technical problems of existing technologies that require the construction of a reference beam, which is cumbersome and relies on a lot of manual operation, resulting in high labor demand, low measurement efficiency and poor accuracy, this invention provides a static load settlement measurement method based on machine vision, which eliminates the need to construct a reference beam, improves measurement accuracy, and enables continuous measurement of settlement.

[0004] The technical solution adopted by this invention to solve its technical problem is: a static load settlement measurement method based on machine vision, wherein a static load testing platform is installed on the foundation pile, and the static load testing platform includes: A support frame is positioned directly above the foundation pile, and a load is placed above the support frame. A hydraulic loading device is installed at the top of the foundation pile and passes through the gap in the support frame; A lower pad is provided at the bottom of the hydraulic loading device, and each of the four corners of the top of the lower pad is provided with a marker; An upper pad is set on the top of the hydraulic loading device. The center of the upper pad coincides with the center of the lower pad. A camera is provided at each of the four corners of the top of the upper pad, and each camera corresponds to a marker. The method includes the following steps: S1, control the hydraulic loading device to the set load Q; S2 controls each camera to simultaneously acquire images of the corresponding landmark according to a set time interval; S3, perform image processing on each acquired image to obtain image information, process the image information through the camera mathematical model, and obtain the sedimentation change of each marker; S4. Based on the settlement change of each marker, the settlement deformation of the foundation pile at different time points under the load Q is calculated by interpolation. S5. Repeat steps S1 to S4 until the loading termination condition is met. Derive the settlement deformation of the foundation piles at each time node under each load Q and form the settlement curve Qs under different loads Q.

[0005] Furthermore, specifically, image processing is performed on each image to obtain image information, including: 3.1 Obtain the marker template image T; 3.2. Perform grayscale conversion on the acquired image to obtain a grayscale image containing the marker. I G ; 3.3, the grayscale image I G Gaussian blurring is performed to obtain the image to be matched. I ; 3.4, The image to be matched is based on a multi-resolution hierarchical matching method. I Perform template matching with the marker template image T to obtain the matching position of the marker. x,y ); 3.5, based on the matching position of the marker ( x,y Using the template image T as a base, expand the image by N pixels in four directions to the image to be matched. I Cropping is performed to obtain the ROI image containing the marker. I roi ; 3.6, For the ROI image I roi Feature point recognition is performed to obtain the pixel coordinates of the top, bottom, left, and right endpoints of the marker; 3.7 Calculate the image information of the marker based on the pixel coordinates of its four endpoints (top, bottom, left, and right). l pix ,w pix , l pix The pixel length of the marker in the image, w pix The pixel width of the marker in the image.

[0006] Furthermore, specifically, processing image information through a camera mathematical model to obtain the sedimentation change of each marker includes: Obtain actual parameters of the marker l , w and Marker image information l pix , w pix ; Given the camera parameters, based on the actual parameters of the marker... l , w and Marker image information l pix , w pix Calculate the settlement of each side of the marker. ; Based on the settlement of the four sides of the marker The sedimentation change of the markers was calculated using bilateral interpolation. .

[0007] Furthermore, specifically, in step S4, a correction algorithm is also provided to correct the settlement deformation of the foundation pile.

[0008] Furthermore, specifically, in step S4, the correction algorithm specifically includes: Settlement based on the four sides of the marker Calculate the settlement gradient at the center point of the marker. The calculation formula is:

[0009] in, These represent the settlement amounts on the four sides. ; Based on the settlement gradient at the center point of marker 9 Calculate settlement correction value The calculation formula is:

[0010] Wherein, K is the warpage distance of the lower pad; The formula for calculating the corrected pile settlement deformation is as follows: .

[0011] Furthermore, specifically, the image to be matched is based on a multi-resolution hierarchical matching method. I The template matching with the template image T of the marker (9) specifically includes the following steps: S3.41, Create the images to be matched respectively. I The multi-resolution image sequence of the marker template image T, and the image to be matched. I Multi-resolution image sequences are I 0, I 1, I 2, … , I n The multi-resolution image sequence of the template image T is T 0, T 1, T 2, … , T n In this multi-resolution image sequence, the first layer is the image with the lowest resolution, and the nth layer is the original high-resolution image. S3.42, the image to be matched I The first layer of multi-resolution sequences I 0 and the first layer of the multi-resolution sequence of the template image Perform template matching to obtain the first matching region; S3.43, Project the matching region from the previous step onto the next layer of the image to be matched, and use the template image T1 of the next layer multi-resolution sequence to perform matching within the projection region on the image to be matched to obtain a new matching region; S3.44, Repeat step S3.43 until the image to be matched is obtained. I The calculation of the nth layer of the multi-resolution sequence ends, and finally, in the image to be matched... I The best matching position found in the nth layer of the multi-resolution sequence ( x t ,y t The best matching position ( x t ,y t ) is the matching location of the marker ( x,y ).

[0012] Furthermore, specifically, the termination loading conditions include: (1) Under the current level of load Q, when the settlement at the top of the pile is greater than 5 times the settlement under the previous level of load Q, and the total settlement at the top of the pile exceeds 40 mm; (2) Under the current load Q, the settlement at the top of the pile is more than twice the settlement under the previous load Q, and it has not reached the relative stability standard after 24 hours. (3) The maximum load Q has been reached and the settlement at the top of the pile has reached the stability standard.

[0013] Furthermore, specifically, the settlement amount of each side of the marker. The calculation formula is:

[0014] in, This represents the settlement along the length direction. This represents the settlement along the width direction.

[0015] Furthermore, specifically, the camera and the corresponding marker are arranged opposite to each other.

[0016] A smart terminal includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed as described above for measuring static load settlement based on machine vision.

[0017] The beneficial effects of this invention are that the static load settlement measurement method based on machine vision of this invention calculates the settlement of the lower pad in four directions by collecting continuous images of the lower pad in four directions, and then calculates the settlement deformation of the foundation pile. This invention does not require the construction of a reference beam, is easy to arrange, realizes automatic high-precision measurement of settlement in static load test, has high measurement accuracy, and can realize continuous measurement of settlement. Attached Figure Description

[0018] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0019] Figure 1 This is a schematic diagram of the static load testing platform of the preferred embodiment of the present invention.

[0020] Figure 2 This is a flowchart of the settlement measurement process for the static load testing platform of the preferred embodiment of the present invention.

[0021] Figure 3 This is a schematic diagram of the structure of the pad in the preferred embodiment of the present invention.

[0022] Figure 4 This is the preferred embodiment of the present invention. Figure 3 Enlarged schematic diagram of point H in the middle.

[0023] Figure 5This is a schematic diagram of the settlement calculation of the length direction side in the preferred embodiment of the present invention. (a) is a geometric schematic diagram of the positional relationship between the camera and the length direction side of the marker before the test; (b) is a geometric schematic diagram of the positional relationship between the camera and the length direction side of the marker during settlement.

[0024] Figure 6 This is a schematic diagram of the settlement calculation of the width direction side in the optimal embodiment of the present invention. (a) is a geometrical schematic diagram of the positional relationship between the camera and the width direction side of the marker before the test; (b) is a geometrical schematic diagram of the positional relationship between the camera and the width direction side of the marker during settlement.

[0025] Figure 7 This is a schematic diagram of the geometric calculation of the warping distance of the pad in the optimal embodiment of the present invention.

[0026] Figure 8 This is a schematic diagram of the geometric calculation of the warping of the pad in the optimal embodiment of the present invention.

[0027] Figure 9 This is the preferred embodiment of the present invention. Figure 8 A magnified diagram of point R in the middle.

[0028] In the diagram: 1. Foundation pile; 2. Support frame; 3. Loading material; 4. Hydraulic loading device; 6. Upper pad; 7. Camera; 8. Lower pad; 9. Marker. Detailed Implementation

[0029] The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic diagrams, illustrating only the basic structure of the invention, and therefore only show the components relevant to the invention.

[0030] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," and "circumferential," etc., indicating orientation or positional relationships, are based on the orientation or positional relationships shown in the accompanying drawings and are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, features defined with "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, unless otherwise stated, "a plurality of" means two or more.

[0031] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0032] Example 1 This application provides a machine vision-based method for measuring static load settlement, such as... Figure 1-4 As shown, the static load testing platform is first installed on the foundation pile 1. The static load testing platform includes: Support frame 2 is set directly above foundation pile 1, and load 3 is set above support frame 2; The hydraulic loading device 4 is installed on the top of the foundation pile 1 and passes through the gap of the support frame 2; The lower pad 8 is located at the bottom of the hydraulic loading device 4, and each of the four corners of the top of the lower pad 8 is provided with a marker 9. The upper pad 6 is located on top of the hydraulic loading device 4. The center of the upper pad 6 coincides with the center of the lower pad 8. A camera 7 is installed at each of the four corners of the top of the upper pad 6, and each camera 7 corresponds to a marker 9. To facilitate image acquisition by the camera 7, the camera 7 and the corresponding marker are positioned opposite each other.

[0033] The static load surcharge testing platform is controlled using the slow-maintained load Q-method to measure static load surcharge settlement. The method includes the following steps: S1 controls the hydraulic loading device 4 to the set load Q.

[0034] S2, according to a set time interval, controls each camera 7 to simultaneously acquire images of the corresponding marker 9; the set time includes: 1. Settlement measurements were taken at 5, 15, 30, 45 and 60 minutes after each load Q was applied, and then every 30 minutes thereafter.

[0035] 2. When the settlement of pile 1 is relatively stable, the settlement amount per hour shall not exceed 0.1 mm and shall occur twice consecutively (starting from the 30th minute after the application of graded load Q, the settlement observation value shall be calculated based on three consecutive settlement observations every 30 minutes over 1.5 hours).

[0036] 3. During unloading, each load level Q is maintained for 1 hour, and the settlement is measured at the 15th, 30th, and 60th minutes.

[0037] S3. Perform image processing on each acquired image to obtain image information. Process the image information through the camera mathematical model to obtain the settlement change of each marker 9.

[0038] S4. Based on the settlement change of each marker 9, the settlement deformation of the foundation pile at different time points under the load Q is calculated by interpolation.

[0039] S5. Repeat steps S1 to S4 until the loading termination condition is met. Derive the settlement deformation of the foundation piles at each time node under each load Q and form the settlement curve Qs under different loads Q.

[0040] It should be noted that the conditions for terminating loading include: (1) Under the current level of load Q, when the settlement at the top of pile 1 is greater than 5 times the settlement under the previous level of load Q, and the total settlement at the top of pile 1 exceeds 40mm.

[0041] (2) Under the current load Q, the settlement at the top of pile 1 is more than twice the settlement under the previous load Q, and it has not yet reached the relative stability standard after 24 hours.

[0042] (3) The maximum load Q has been reached and the settlement at the top of pile 1 has reached the stability standard.

[0043] In this embodiment, image processing is performed on each image to obtain image information, specifically including: 3.1 Obtain the template image T of marker 9.

[0044] 3.2. Perform grayscale conversion on the acquired image to obtain a grayscale image containing marker 9. I G .

[0045] 3.3, Converting grayscale images I G Gaussian blurring is performed to obtain the image to be matched. I .

[0046] 3.4, Based on the multi-resolution hierarchical matching method, the image to be matched is... I Perform template matching with the template image T of marker 9 to obtain the matching position of marker 9. x,y By using a multi-resolution hierarchical matching method to match layer by layer from low resolution to high resolution, the computational load is greatly reduced, and it can better adapt to the scale changes on the image caused by changes in the object distance of marker 9. Further, the specific steps include: S3.41, Create the images to be matched respectively. I And a multi-resolution image sequence of the template image T and the image to be matched. I Multi-resolution image sequences areI 0, I 1, I 2, … , I n The multi-resolution image sequence of the template image T is T 0, T 1, T 2, … , T n In this multi-resolution image sequence, the first layer consists of the images with the lowest resolution. n The layer is the original high-resolution image; further, the image to be matched is processed by successively downsampling, for example, reducing the image size by half for each layer. I And the template image T of marker 9, obtain the image to be matched. I A multi-resolution image sequence of the template image T and the marker 9.

[0047] S3.42, the image to be matched I The first layer of multi-resolution sequences I The first layer of the multi-resolution sequence of 0 and template images Perform template matching to obtain the first matching region.

[0048] S3.43, Project the matching region from the previous step onto the next layer of the image to be matched. Use the template image T1 of the next layer's multi-resolution sequence to perform matching within the projected region on the image to be matched, obtaining a new matching region. It should be noted that since the resolution has doubled, this matching position corresponds to the projection region of the next layer. Within this projection region, rather than the entire image, perform more precise template matching again, refining the matching results layer by layer. For example, if the best match is found at coordinates (x, y) in the nth layer, then in the nth layer... For level 1, the search only needs to be performed within the projection region centered at (2x, 2y), instead of the entire area. Search within the image.

[0049] S3.44, Repeat step S3.43 until the image to be matched is reached. I The calculation of the nth layer of the multi-resolution sequence ends, and finally the image to be matched is obtained. I The best matching position found in the nth layer of the multi-resolution sequence ( x t ,y t The best matching position ( x t , y t ) is the matching position of marker 9 ( x,y ).

[0050] 3.5, with the matching position of marker 9 ( x,y Using the template image T (marker 9) as a base, the image to be matched is... I Expand by N pixels in four directions to match the image. I Cropping was performed to obtain the ROI image containing marker 9. I roi .

[0051] 3.6, ROI Image I roi Feature point recognition was performed to obtain the pixel coordinates of the top, bottom, left, and right endpoints of marker 9; 3.7 Calculate the image information of marker 9 based on the pixel coordinates of the four endpoints (top, bottom, left, and right) of marker 9. l pix , w pix , l pix The pixel length of marker 9 in the image. w pix The pixel width of marker 9 in the image.

[0052] In this embodiment, the four endpoints of marker 9 are A, B, C, and D, respectively. The specific steps for obtaining the settlement change of each marker 9 by processing image information using a camera mathematical model include: Obtain actual parameters of marker 9 l , w and Image information of marker 9 l pix , w pix ; like Figure 5-6 As shown, given the parameters of camera 7, and based on the actual parameters of marker 9... l , w Image information of marker 9 l pix , w pix Calculate the settlement of side AD respectively and CD side settlement Then, the settlement of each side of marker 9 is calculated. The calculation formula is: Specifically, AD side settlement That is, the settlement along the length direction, such as Figure 5 As shown in (a), the distance Z from the front camera 7 to the marker 9 is known. According to... achievable ,in, For camera focal length, p As the conversion factor, To measure the length of marker 9 in pixels in the image, .

[0053] like Figure 5 As shown in (b), the distance from camera 7 to marker 9 after settlement measurement. Settlement along the length direction The calculation formula is: .

[0054] CD edge settlement That is, the settlement of the side in the width direction, such as Figure 6 As shown in (a), according to achievable ,in, To measure the width of the front marker 9 in pixels within the image, .

[0055] like Figure 6 As shown in (b), the distance from camera 7 to marker 9 after settlement measurement. Settlement along the length direction The calculation formula is: .

[0056] Based on the settlement of the four sides of marker 9 The settlement change of marker 9 was calculated using bilateral interpolation. .

[0057] In this embodiment, since the pad plate will warp slightly due to the force, the marker will also warp as it is tightly connected to the warped pad plate. In order to avoid a slight difference between the measured settlement deformation and the actual deformation at the center of the pile 1, a correction algorithm is also set in step S4 to correct the settlement deformation of the pile.

[0058] In this embodiment, the hyperbolic paraboloid is used to characterize the warped plane by describing a single curved surface formed by four non-coplanar points.

[0059] In the normal coordinate system of analytic geometry (with the vertex at the origin), the equation of the hyperbolic parabola is: ; When actually measuring the warp of an object, the general form expression including cross terms is used as follows: ; If there are four points: Its coefficient can be quickly derived as: ; ; ; .

[0060] Transforming the xy coordinates of the four points into a normalized coordinate system specifically includes: 1. Set up the coordinate system and boundary conditions. First, define a rectangular region containing four corner points and establish a local Cartesian coordinate system. and a normalized parametric coordinate system .

[0061] Suppose these four points are at The projections on the plane form a rectangle, and their settlements are respectively The mapping relationship between the four points in the local Cartesian coordinate system and the normalized parameter coordinate system is shown in the table below: Table 1. Mapping Relationship between Local Cartesian Coordinate System and Normalized Parametric Coordinate System

[0062]

[0063] It should be noted that, , .

[0064] 2. Establish coordinate mapping relationships. For simplicity, normalized coordinates are used. ,Will Mapping to [0,1] will Mapped to [0,1].

[0065] according to Seeking ;

[0066] according to Seeking .

[0067] 3. Solve for the coefficients using the standard equations. , four points and the corresponding settlement Substitute into the general form expression: ;

[0068] Point A After substituting, we get: ;

[0069] Point B After substituting, we get:

[0070] Seeking ;

[0071] Point C After substituting, we get:

[0072] Seeking ;

[0073] Point D After substituting, we get: ;

[0074] Will Substitute:

[0075]

[0076] Seeking .

[0077] 4. From Equation derivation to The equation will The expression and coordinate mapping relationship Substitute back to the original standard equation:

[0078] .

[0079] 5. Rearrange the expression into a normalized coordinate bilinear interpolation form, recombine the expansion, and derive a bilinear interpolation form based on normalized coordinates. .

[0080] according to Extract the coefficients separately: ;

[0081] All Item aggregation: ;

[0082] Using factorization: ; ; ; .

[0083] The parametric equations of the ABCD hyperlinear surface of marker 9, with coordinate normalization, are as follows: .

[0084] Gradient in any direction (tangent vector, for any direction) The derivative of ) is

[0085] in, ;

[0086] After substitution, the settlement based on the four sides of marker 9 Calculate the settlement gradient at the center point of marker 9. The calculation formula is:

[0087] in, These represent the settlement amounts on the four sides, with the center point of marker 9 as the reference point. The gradient direction points towards the center of the pile, and the vector... for( ),like Figure 4 As indicated by the arrow.

[0088] like Figure 7-9 As shown, based on the settlement gradient at the center point of marker 9 Calculate settlement correction value The calculation formula is:

[0089] Where K is the warpage distance of the lower pad 8, calculated using the following formula: L is the side length of the lower pad 8. q The distance from the center of marker 9 to both sides.

[0090] The formula for calculating the corrected pile settlement deformation is as follows: .

[0091] By analyzing the subtle changes in key points of marker 9 in the image, the axial deformation gradient of the center point of marker 9 is calculated. Interpolation is then performed using the gradient change to obtain the settlement deformation of the foundation pile. This eliminates the error in the settlement measurement results caused by the spatial deformation of the pad due to stress and its own ductility, resulting in an accurate pile foundation settlement deformation and further improving the measurement accuracy.

[0092] This application provides a machine vision-based method for measuring static load settlement. By acquiring continuous images of the lower pad 8 from four directions, the settlement of the lower pad 8 in the four directions is calculated, and then the settlement deformation of the foundation pile is calculated. This invention does not require the construction of a reference beam, is easy to arrange, and realizes automatic and high-precision measurement of settlement in static load tests. The measurement accuracy is high, and it can realize continuous measurement of settlement.

[0093] Example 2 Based on the same inventive concept, this application also provides a smart terminal, including a memory and a processor, wherein the memory stores a computer program that can be loaded and executed by the processor for measuring static load settlement based on machine vision.

[0094] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0095] Based on the above-described preferred embodiments of the present invention, and through the foregoing description, those skilled in the art can make various changes and modifications without departing from the inventive concept. The technical scope of this invention is not limited to the contents of the specification, but must be determined according to the scope of the claims.

Claims

1. A method for measuring static load settlement based on machine vision, wherein a static load testing platform is installed on a foundation pile (1), characterized in that, The static load testing platform includes: A support frame (2) is set directly above the foundation pile (1), and a load (3) is set above the support frame (2). A hydraulic loading device (4) is installed on the top of the foundation pile (1) and passes through the gap of the support frame (2); The lower pad (8) is located at the bottom of the hydraulic loading device (4), and each of the four corners of the top of the lower pad (8) is provided with a marker (9). The upper pad (6) is set on the top of the hydraulic loading device (4). The center of the upper pad (6) coincides with the center of the lower pad (8). Each of the four corners of the top of the upper pad (6) is provided with a camera (7), and each camera (7) corresponds to a marker (9). The method includes the following steps: S1, control the hydraulic loading device (4) to the set load Q; S2, according to the set time interval, control each camera (7) to simultaneously acquire the image of the corresponding marker (9); S3, perform image processing on each acquired image to obtain image information, process the image information through the camera mathematical model, and obtain the settlement change of each marker (9); S4, based on the settlement change of each marker (9), the settlement deformation of the foundation pile at different time points under the load Q is calculated by interpolation; S5. Repeat steps S1 to S4 until the loading termination condition is met. Derive the settlement deformation of the foundation piles at each time node under each load Q and form the settlement curve Qs under different loads Q.

2. The method for measuring static load settlement based on machine vision as described in claim 1, characterized in that, Image processing is performed on each image to obtain image information, specifically including: 3.1 Obtain the template image T of the marker (9); 3.

2. Perform grayscale conversion on the acquired image to obtain a grayscale image containing the marker (9). I G ; 3.3, the grayscale image I G Gaussian blurring is performed to obtain the image to be matched. I ; 3.4, The image to be matched is based on a multi-resolution hierarchical matching method. I Template matching is performed with the template image T of the marker (9) to obtain the matching position of the marker (9). x,y ); 3.5, with the matching position of the marker (9) x,y Using the template image T of the marker (9) as the base, expand the image by N pixels in four directions to the image to be matched. I Cropping is performed to obtain an ROI image containing the marker (9). I roi ; 3.6, For the ROI image I roi Feature point recognition is performed to obtain the pixel coordinates of the top, bottom, left and right endpoints of the marker (9); 3.7 Calculate the image information of the marker (9) based on the pixel coordinates of the four endpoints of the marker (9) (top, bottom, left, and right). l pix , w pix , l pix For the pixel length of the marker (9) in the image, w pix The pixel width of the marker (9) on the image.

3. The static load settlement measurement method based on machine vision as described in claim 2, characterized in that, The image information is processed through a camera mathematical model to obtain the specific amount of sedimentation change for each marker (9), including: Obtain the actual parameters of the marker (9) l , w and Image information of markers (9) l pix , w pix ; Given the camera (7) parameters, based on the actual parameters of the marker (9) l , w and Image information of markers (9) l pix , w pix Calculate the settlement of each side of marker (9). ; Based on the settlement of the four sides of the marker (9) The settlement change of marker (9) was calculated by bilateral interpolation. .

4. The method for measuring static load settlement based on machine vision as described in claim 3, characterized in that, In step S4, a correction algorithm is also provided to correct the settlement deformation of the foundation pile.

5. The method for measuring static load settlement based on machine vision as described in claim 4, characterized in that, In step S4, the correction algorithm specifically includes: Settlement based on the four sides of marker (9) Calculate the settlement gradient at the center point of marker (9) The calculation formula is: in, These represent the settlement amounts on the four sides. ; Based on the settlement gradient at the center point of marker (9) Calculate settlement correction value The calculation formula is: Wherein, K is the warpage distance of the lower pad (8); The formula for calculating the corrected pile settlement deformation is as follows: 。 6. The method for measuring static load settlement based on machine vision as described in claim 2, characterized in that, The image to be matched is based on a multi-resolution hierarchical matching method. I The template matching with the template image T of the marker (9) specifically includes the following steps: S3.41, create the images to be matched respectively. I The multi-resolution image sequence of the template image T of the marker (9), the image to be matched I Multi-resolution image sequences are I 0, I 1, I 2, … , I n The multi-resolution image sequence of the template image T is T 0, T 1, T 2, … , T n In this multi-resolution image sequence, the first layer consists of the images with the lowest resolution. n The layer is the original high-resolution image; S3.42, the image to be matched I The first layer of multi-resolution sequences I 0 and the first layer of the multi-resolution sequence of the template image Perform template matching to obtain the first matching region; S3.43, Project the matching region from the previous step onto the next layer of the image to be matched, and use the template image T1 of the next layer multi-resolution sequence to perform matching within the projection region on the image to be matched to obtain a new matching region; S3.44, Repeat step S3.43 until the image to be matched is obtained. I The calculation of the nth layer of the multi-resolution sequence ends, and finally, in the image to be matched... I The best matching position found in the nth layer of the multi-resolution sequence ( x t ,y t The best matching position ( x t ,y t ) is the matching position of marker (9) x,y ).

7. The method for measuring static load settlement based on machine vision as described in claim 1, characterized in that, The conditions for terminating loading include: (1) Under the current level of load Q, when the settlement at the top of the pile (1) is greater than 5 times the settlement under the previous level of load Q, and the total settlement at the top of the pile (1) exceeds 40 mm; (2) Under the current level of load Q, the settlement at the top of the pile (1) is more than twice the settlement under the previous level of load Q, and has not yet reached the relative stability standard after 24 hours. (3) The maximum load Q has been reached and the settlement at the top of the pile (1) has reached the stability standard.

8. The method for measuring static load settlement based on machine vision as described in claim 1, characterized in that, The settlement of each side of the marker (9) The calculation formula is: in, This represents the settlement along the length direction. This represents the settlement along the width direction.

9. The method for measuring static load settlement based on machine vision as described in claim 1, characterized in that, The camera (7) and the corresponding marker are positioned opposite each other.

10. A smart terminal, characterized in that, It includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed as described in any one of claims 1 to 9, which is a machine vision-based static load settlement measurement method.

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