An analysis method for uniformity of underground soil bearing capacity based on drill logging

Abstract

The present application relates to the technical field of foundation testing, in particular to a method for analyzing the uniformity of underground soil bearing capacity based on drill recording, comprising: S1, generating a foundation pit contour map, taking the center of the foundation pit as the origin, constructing a cross coordinate system, and determining the coordinates and numbers of each drill point; S2, generating a drill path of the drill rig according to the coordinate information of each drill point; S3, guiding the drill rig to drill each drill point in turn according to the drill path; when drilling any drill point, the distance between the bottom of the drop hammer and the top of the probe rod is adjusted to maintain a preset distance; based on machine vision, it is identified whether each round of hammering is completed and the number of hammerings in each round is automatically counted; S4, after all drill points are drilled, the drill data is shared to the client, and a drill analysis report for each drill point of the current foundation pit is generated according to a preset template. The present application can automatically complete the path guidance of the drill rig, drilling and drill recording process.

Description

Technical Field

[0001] This invention relates to the field of foundation testing technology, and more specifically to an analytical method for the uniformity of underground soil bearing capacity based on probe records. Background Technology

[0002] Probing, also known as light dynamic penetration testing, refers to the process of probing the soil layers below the bottom of a foundation pit after the excavation has reached the design elevation, in accordance with regulations, to determine the soil's hardness and softness. Currently, probing tests typically require manual operation of the probing machine to the designated location, and manual recording of the probing results, resulting in a low degree of automation. Summary of the Invention

[0003] In view of this, the present invention provides an analysis method for the uniformity of underground soil bearing capacity based on probing records, which can automatically complete the process of guiding the probing machine, drilling, and probing records.

[0004] To achieve the above objectives, the present invention adopts the following technical solution:

[0005] An analytical method for the uniformity of underground soil bearing capacity based on probe records includes the following steps:

[0006] S1. Generate the outline of the foundation pit. With the center of the foundation pit as the origin, construct a cross coordinate system and determine the coordinates and numbers of each probe point.

[0007] S2. Generate the probing path of the probing machine based on the coordinate information of each probing point.

[0008] S3. Guide the probing machine to probe each probing point in sequence according to the probing path; when probing any probing point, adjust the hammer drop height once after each hammer strike to keep the distance between the bottom of the hammer and the top of the probing rod at the preset distance before each hammer strike; and collect the image information of the probing rod in real time. When the first scale mark on the probing rod is flush with the ground, the first round of hammering is considered to be over.

[0009] After the probe rod has been hammered a preset number of times, the probing test for that probing point is considered to be over. Record the number of hammer blows for that probing point in each round.

[0010] S4. After all probing points are completed, the probing data is shared to the client, and a probing analysis report for each probing point in the current foundation pit is generated according to the preset template.

[0011] Furthermore, S2 includes:

[0012] S21. Determine the fitness function;

[0013] S22. Initialize the probe path population based on the coordinate information of each probe point.

[0014] S23. Select individuals with high fitness from the initial probe path population and perform crossover, mutation, and reversal operations.

[0015] S24. If the optimal fitness of an individual in the population remains unchanged for several generations starting from a certain generation, then the iteration process is terminated, and the optimal solution in the population at this time is output as the probe path planning result.

[0016] Furthermore, in S21, the fitness function is the reciprocal of the total length of the probe path, expressed as:

[0017] F i =1 / L i

[0018] Among them, F i L represents the fitness value of the probe path numbered i. i This indicates the length of the probe path numbered i.

[0019] Furthermore, S22 includes:

[0020] S221. The linear regression method is used to fit the probe coordinates in the foundation pit area to obtain a linear regression line H1.

[0021] S222. Calculate the center point of the regression line H1 in the foundation pit area, and determine the perpendicular line H2 passing through the regression line H1. Divide the foundation pit area into four sub-areas by the regression line H1 and the perpendicular line H2.

[0022] S223. Recursively execute S221-S222 in each probing sub-region to further divide each sub-region. When the number of probing points in a certain sub-region is less than or equal to 3, it is considered that the division of the sub-region is over. Until the number of probing points in all sub-regions is less than or equal to 3, it is considered that the division of the entire foundation pit area is over, resulting in multiple minimum probing regions.

[0023] S224. Randomly select a minimum probing area as the initial minimum probing area, randomly select a probing point in the initial minimum probing area as the starting probing point, add the nearest probing point as the new starting probing point, until all probing points are connected.

[0024] Then connect the initial minimum probe area to the nearest probe point in the other nearest minimum probe areas, until all probe points in all minimum probe areas are connected, generating a probe path;

[0025] S225. Repeat S221-S224 m times to obtain m initial probing paths, forming an initial probing path population.

[0026] Furthermore, in S3, the process of adjusting the drop hammer height includes:

[0027] The distance between the hammer and the probe rod is pre-adjusted to a preset distance, and an image of the hammer and the probe rod is pre-taken by a camera installed at a designated position on the probing machine. The pixel distance between the hammer and the probe rod in the image is then calibrated as the standard pixel distance.

[0028] When probing any probing point, keep the camera installation position unchanged. Before each hammering of the probe rod, acquire images of the hammer and the probe rod in real time, calculate the current pixel distance between the two images, and determine whether the current pixel distance is equal to the standard pixel spacing. If so, control the hammer to perform this hammering. Otherwise, adjust the hammer height until the distance between the bottom of the hammer and the top of the probe rod in the image is the standard pixel spacing, and then control the hammer to perform this hammering.

[0029] Furthermore, in S3, the method for determining whether each round of hammering has ended is as follows:

[0030] The scale on the probe rod is pre-marked with color so that the color of the mark is clearly different from the color of the ground and the color of the probe rod; the probe rod is hammered into the ground so that the bottom of the scale mark is flush with the ground; the bottom of the probe rod is captured by a camera installed at the bottom of the probe machine, and the pixel width of the scale line in the image is calculated as the standard pixel width;

[0031] Keeping the camera in the same position, hammer each pair of probes once and capture an image of the bottom of the probe once.

[0032] If, after a hammer blow, the scale line in the image at the bottom of the probe touches the ground, and the pixel width of the scale line is less than or equal to the standard pixel width, then the hammer blow is considered to have ended.

[0033] Furthermore, methods for determining whether each round of hammering has ended include:

[0034] If, after a certain hammer blow, the lowest scale mark in the probe bottom image disappears, but the lowest scale mark remains in the probe bottom image after the previous hammer blow, and there is a certain gap between the lowest scale line and the ground, then this round of hammering is considered to be over.

[0035] Furthermore, in S3, machine vision is used to count the number of hammer blows in each round, including:

[0036] The video stream of each round of hammering is captured and processed frame by frame to obtain a set of sequentially arranged single-frame images;

[0037] Edge detection is performed on each frame of the image to identify the hammer drop area and the probe area;

[0038] Each frame of the image is binarized, and the pixels in the hammer and probe areas are assigned a value of 0, turning them black, while the pixels in the remaining background areas are assigned a value of 1, turning them white.

[0039] The dynamic change process of the hammer drop area and the probe area from contact to separation is counted as one hammer strike;

[0040] Count the number of dynamic changes in the hammer drop area and probe area from contact to departure throughout the entire video stream, and save this count as the number of hammer strikes in this round.

[0041] Furthermore, in S4, the probing analysis report includes the time, pit name, probing point number, number of hammer blows per round and total number of hammer blows for each probing point number, scale of each round of hammer blows, personnel and underground soil bearing capacity analysis results. Among them, the underground soil bearing capacity uniformity analysis results are obtained based on a pre-trained neural network model.

[0042] Furthermore, S4 also includes: performing gridding processing on the foundation pit outline map, converting the total number of hammer blows at each probe point into pseudo-color, and displaying it in the corresponding probe point grid area on the foundation pit outline map to obtain a pseudo-color map of the bearing capacity of the underground soil of the foundation pit.

[0043] As can be seen from the above technical solution, compared with the prior art, the present invention has the following beneficial effects:

[0044] 1. This invention predetermines the coordinates of each probing point in the foundation pit and generates a probing path, thereby guiding the probing machine to perform probing operations at each point according to the optimal path sequence, without the need for real-time staff intervention, which greatly improves work efficiency.

[0045] 2. This invention is based on machine vision to automatically identify whether each round of hammering has ended and to automatically identify the number of hammerings in each round, eliminating the need for manual recording and reducing recording errors.

[0046] 3. Before each hammering of the probe rod, the present invention automatically identifies the distance between the hammer and the probe rod based on machine vision and automatically adjusts the hammer height to ensure that the hammering force is the same each time, which further improves the accuracy of the probing test.

[0047] 4. This invention enables real-time sharing of on-site probing data and automatically generates probing analysis reports for foundation pits, eliminating the need for manual comparison. The results are presented intuitively and with a high degree of automation. Attached Figure Description

[0048] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0049] Figure 1 A flowchart of the method for analyzing the uniformity of underground soil bearing capacity based on probe records provided by the present invention;

[0050] Figure 2 A flowchart for generating probe paths provided by the present invention;

[0051] Figure 3 This is a schematic diagram illustrating how the foundation pit area is divided into four sub-regions using the regression line H1 and the vertical line H2, as provided by the present invention. Detailed Implementation

[0052] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0053] like Figure 1 As shown in the figure, this invention discloses an analysis method for the uniformity of underground soil bearing capacity based on probe records, including the following steps:

[0054] S1. Generate the outline of the foundation pit. With the center of the foundation pit as the origin, construct a cross coordinate system and determine the coordinates and numbers of each probe point.

[0055] S2. Generate the probing path of the probing machine based on the coordinate information of each probing point.

[0056] S3. Guide the probing machine to probe each probing point in sequence according to the probing path; when probing any probing point, adjust the hammer drop height once after each hammer strike to keep the distance between the bottom of the hammer and the top of the probing rod at the preset distance before each hammer strike; and collect the image information of the probing rod in real time. When the first scale mark on the probing rod is flush with the ground, the first round of hammering is considered to be over.

[0057] After the probe rod has been hammered a preset number of times, the probing test for that probing point is considered to be over. Record the number of hammer blows for that probing point in each round.

[0058] S4. After all probing points are completed, the probing data is shared to the client, and a probing analysis report for each probing point in the current foundation pit is generated according to the preset template.

[0059] The following provides further explanation of each of the above steps.

[0060] S1. Based on the actual dimensions, draw the outline of the foundation pit according to a certain scale. With the center of the foundation pit as the origin, construct a cross coordinate system and determine the coordinates and numbers of each probing point.

[0061] S2. Generate the probing path of the probing machine based on the coordinate information of each probing point, such as... Figure 2 As shown, it specifically includes:

[0062] S21. Determine the fitness function; the fitness function is the reciprocal of the total probing path length, expressed as:

[0063] F i =1 / L i

[0064] Among them, F i L represents the fitness value of the probe path numbered i. i This indicates the length of the probe path numbered i.

[0065] S22. Initialize the probe path population based on the coordinate information of each probe point, specifically including:

[0066] S221. The linear regression method is used to fit the probe coordinates in the foundation pit area to obtain a linear regression line H1.

[0067] S222. Calculate the center point of regression line H1 in the foundation pit area, and determine the perpendicular line H2 passing through regression line H1. Divide the foundation pit area into four sub-regions using regression line H1 and perpendicular line H2, such as... Figure 3 As shown;

[0068] S223. Recursively execute S221-S222 in each probing sub-region to further divide each sub-region. When the number of probing points in a certain sub-region is less than or equal to 3, it is considered that the division of the sub-region is over. Until the number of probing points in all sub-regions is less than or equal to 3, it is considered that the division of the entire foundation pit area is over, resulting in multiple minimum probing regions.

[0069] S224. Randomly select a minimum probing area as the initial minimum probing area, randomly select a probing point in the initial minimum probing area as the starting probing point, add the nearest probing point as the new starting probing point, until all probing points are connected.

[0070] Then connect the initial minimum probe area to the nearest probe point in the other nearest minimum probe areas, until all probe points in all minimum probe areas are connected, generating a probe path;

[0071] S225. Repeat S221-S224 m times to obtain m initial probing paths, forming an initial probing path population.

[0072] S23. Select individuals with high fitness from the initial probe path population and perform crossover, mutation, and reversal operations.

[0073] S24. When the optimal fitness of an individual in the population remains unchanged for several generations starting from a certain generation, the iteration process is terminated, and the optimal solution in the population at this time is output as the probe path planning result. The output probe path is the shortest at this time, which can maximize the saving of probe time.

[0074] S3. Guide the probing machine to probe each probing point in sequence according to the probing path; when probing any probing point, adjust the hammer height once after each hammer blow to keep the distance between the bottom of the hammer and the top of the probing rod at the preset distance before each blow, so that the hammering force is as consistent as possible each time to ensure experimental accuracy.

[0075] Specifically, the process of adjusting the drop hammer height includes:

[0076] The distance between the hammer and the probe rod is pre-adjusted to a preset distance, and an image of the hammer and the probe rod is pre-taken by a camera installed at a designated position on the probing machine. The pixel distance between the hammer and the probe rod in the image is then calibrated as the standard pixel distance.

[0077] When probing any probing point, keep the camera installation position unchanged. Before each hammering of the probe rod, acquire images of the hammer and the probe rod in real time, calculate the current pixel distance between the two images, and determine whether the current pixel distance is equal to the standard pixel spacing. If so, control the hammer to perform this hammering. Otherwise, adjust the hammer height until the distance between the bottom of the hammer and the top of the probe rod in the image is the standard pixel spacing, and then control the hammer to perform this hammering.

[0078] In addition, during the probing operation, it is necessary to automatically record the probing data. At this time, the key is to identify whether a certain round of hammering has ended and to count the number of hammerings in each round.

[0079] Specifically, the method for determining whether each round of hammering has ended is as follows:

[0080] The scale on the probe rod is pre-marked with color so that the color of the mark is clearly different from the color of the ground and the color of the probe rod; the probe rod is hammered into the ground so that the bottom of the scale mark is flush with the ground; the bottom of the probe rod is captured by a camera installed at the bottom of the probe machine, and the pixel width of the scale line in the image is calculated as the standard pixel width;

[0081] Keeping the camera in the same position, hammer each pair of probes once and capture an image of the bottom of the probe once.

[0082] If, after a hammer blow, the scale line in the image at the bottom of the probe touches the ground, and the pixel width of the scale line is less than or equal to the standard pixel width, then the hammer blow is considered to have ended.

[0083] or:

[0084] If, after a certain hammer blow, the lowest scale mark in the probe bottom image disappears, but the lowest scale mark remains in the probe bottom image after the previous hammer blow, and there is a certain gap between the lowest scale line and the ground, then this round of hammering is considered to be over.

[0085] This invention uses machine vision to count the number of hammer blows in each round. Specific steps include:

[0086] The video stream of each round of hammering is captured and processed frame by frame to obtain a set of sequentially arranged single-frame images;

[0087] Edge detection is performed on each frame of the image to identify the hammer drop area and the probe area;

[0088] Each frame of the image is binarized, and the pixels in the hammer and probe areas are assigned a value of 0, turning them black, while the pixels in the remaining background areas are assigned a value of 1, turning them white.

[0089] The dynamic change process of the hammer drop area and the probe area from contact to separation is counted as one hammer strike;

[0090] Count the number of dynamic changes in the hammer drop area and probe area from contact to departure throughout the entire video stream, and save this count as the number of hammer strikes in this round.

[0091] In summary, this invention identifies the height of the hammer drop based on machine vision and automatically counts the number of hammer blows in each round, which can greatly reduce the workload of workers and ensure the accuracy of probing operations.

[0092] In S4, probing data is shared to the client in real time. On the client, a probing analysis report is generated for each probing point in the current foundation pit according to a preset template. The probing analysis report includes the time, foundation pit name, probing point number, number of hammer blows per round and total number of hammer blows for each probing point number, scale of each round of hammer blows, personnel information, and analysis results of underground soil bearing capacity. Among them, the analysis results of underground soil bearing capacity uniformity are obtained based on a pre-trained neural network model.

[0093] Specifically, previous probing test data and corresponding analysis results can be used as a training set to train the neural network model, so as to learn the correspondence between the number of hammer blows and the soil bearing capacity under relevant scales, and at the same time learn the relationship between the distribution of the number of hammer blows at the probing points and the uniformity of the soil bearing capacity. This invention eliminates the need for manual comparison of each probing record, and can quickly obtain the soil bearing capacity distribution results of the foundation pit, greatly improving work efficiency.

[0094] More advantageously, S4 also includes: performing gridding processing on the foundation pit outline map on the client side, so that each probe point is surrounded by a grid, converting the total number of hammer blows for each probe point into pseudo-color and displaying it in the corresponding grid area of ​​the probe point on the foundation pit outline map, thus obtaining a pseudo-color map of the soil bearing capacity of the foundation pit. In this way, the soil bearing capacity at different locations of the foundation pit can be intuitively expressed.

[0095] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to the method section.

[0096] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for analyzing the uniformity of underground soil bearing capacity based on probe records, characterized in that, Includes the following steps: S1. Generate the outline of the foundation pit. With the center of the foundation pit as the origin, construct a cross coordinate system and determine the coordinates and numbers of each probe point. S2. Generate the probing path of the probing machine based on the coordinate information of each probing point. S3. Guide the probing machine to probe each probing point in sequence according to the probing path; when probing any probing point, adjust the hammer drop height once after each hammer strike to keep the distance between the bottom of the hammer and the top of the probing rod at the preset distance before each hammer strike; and collect the image information of the probing rod in real time. When the first scale mark on the probing rod is flush with the ground, the first round of hammering is considered to be over. After the probe rod has been hammered a preset number of times, the probing test for that probing point is considered to be over. Record the number of hammer blows for that probing point in each round. The method for determining whether each round of hammering has ended is as follows: The scale on the probe rod is pre-marked with color so that the color of the mark is clearly different from the color of the ground and the color of the probe rod; the probe rod is hammered into the ground so that the bottom of the scale mark is flush with the ground; the bottom of the probe rod is captured by a camera installed at the bottom of the probe machine, and the pixel width of the scale line in the image is calculated as the standard pixel width; Keeping the camera in the same position, hammer each pair of probes once and capture an image of the bottom of the probe once. If, after a hammer blow, the scale line in the image at the bottom of the probe touches the ground, and the pixel width of the scale line is less than or equal to the standard pixel width, then the hammer blow is considered to be over. S4. After all probing points are completed, the probing data is shared to the client, and a probing analysis report for each probing point in the current foundation pit is generated according to the preset template.

2. The method for analyzing the uniformity of underground soil bearing capacity based on probe records according to claim 1, characterized in that, S2 include: S21. Determine the fitness function; S22. Initialize the probe path population based on the coordinate information of each probe point. S23. Select individuals with high fitness from the initial probe path population and perform crossover, mutation, and reversal operations. S24. If the optimal fitness of an individual in the population remains unchanged for several generations starting from a certain generation, then the iteration process is terminated, and the optimal solution in the population at this time is output as the probe path planning result.

3. The method for analyzing the uniformity of underground soil bearing capacity based on probe records according to claim 2, characterized in that, In S21, the fitness function is the reciprocal of the total length of the probe path, expressed as: F i =1 / L i Among them, F i L represents the fitness value of the probe path numbered i. i This indicates the length of the probe path numbered i.

4. The method for analyzing the uniformity of underground soil bearing capacity based on probe records according to claim 2, characterized in that, S22 includes: S221. The linear regression method is used to fit the probe coordinates in the foundation pit area to obtain a linear regression line H1. S222. Calculate the center point of the regression line H1 in the foundation pit area, and determine the perpendicular line H2 passing through the regression line H1. Divide the foundation pit area into four sub-areas by the regression line H1 and the perpendicular line H2. S223. Recursively execute S221-S222 in each probing sub-region to further divide each sub-region. When the number of probing points in a certain sub-region is less than or equal to 3, it is considered that the division of the sub-region is over. Until the number of probing points in all sub-regions is less than or equal to 3, it is considered that the division of the entire foundation pit area is over, resulting in multiple minimum probing regions. S224. Randomly select a minimum probing area as the starting minimum probing area, randomly select a probing point in the starting minimum probing area as the starting probing point, add the nearest probing point as the new starting probing point, until all probing points are connected. Then connect the starting minimum probe area to the nearest probe point in the other nearest minimum probe areas, until all probe points in all minimum probe areas are connected, thus generating a probe path; S225. Repeat S221-S224 m times to obtain m initial probing paths, forming an initial probing path population.

5. The method for analyzing the uniformity of underground soil bearing capacity based on probe records according to claim 1, characterized in that, In S3, the process of adjusting the drop hammer height includes: The distance between the hammer and the probe rod is pre-adjusted to a preset distance, and an image of the hammer and the probe rod is pre-taken by a camera installed at a designated position on the probing machine. The pixel distance between the hammer and the probe rod in the image is then calibrated as the standard pixel distance. When probing any probing point, keep the camera installation position unchanged. Before each hammering of the probe rod, acquire images of the hammer and the probe rod in real time, calculate the current pixel distance between the two images, and determine whether the current pixel distance is equal to the standard pixel spacing. If so, control the hammer to perform this hammering. Otherwise, adjust the hammer height until the distance between the bottom of the hammer and the top of the probe rod in the image is the standard pixel spacing, and then control the hammer to perform this hammering.

6. The method for analyzing the uniformity of underground soil bearing capacity based on probe records according to claim 5, characterized in that, Other ways to determine whether each round of hammering has ended include: If, after a certain hammer blow, the lowest scale mark in the probe bottom image disappears, but the lowest scale mark remains in the probe bottom image after the previous hammer blow, and there is a certain gap between the lowest scale line and the ground, then this round of hammering is considered to be over.

7. The method for analyzing the uniformity of underground soil bearing capacity based on probe records according to claim 1, characterized in that, In S3, machine vision is used to count the number of hammer blows in each round, including: The video stream of each round of hammering is captured and processed frame by frame to obtain a set of sequentially arranged single-frame images; Edge detection is performed on each frame of the image to identify the hammer drop area and the probe area; Each frame of the image is binarized, and the pixels in the hammer and probe areas are assigned a value of 0, turning them black, while the pixels in the remaining background areas are assigned a value of 1, turning them white. The dynamic change process of the hammer drop area and the probe area from contact to separation is counted as one hammer strike; Count the number of dynamic changes in the hammer drop area and probe area from contact to departure throughout the entire video stream, and save this count as the number of hammer strikes in this round.

8. The method for analyzing the uniformity of underground soil bearing capacity based on probe records according to claim 1, characterized in that, In S4, the probing analysis report includes the time, pit name, probing point number, number of hammer blows per round and total number of hammer blows for each probing point number, scale of each round of hammer blows, personnel and underground soil bearing capacity analysis results. Among them, the underground soil bearing capacity uniformity analysis results are obtained based on a pre-trained neural network model.

9. The method for analyzing the uniformity of underground soil bearing capacity based on probe records according to claim 1, characterized in that, S4 also includes: performing gridding processing on the foundation pit outline map, converting the total number of hammer blows at each probing point into pseudo-color, and displaying it in the corresponding grid area of ​​the probing point on the foundation pit outline map to obtain a pseudo-color map of the bearing capacity of the underground soil in the foundation pit.

Images