A crack detection method and system for soft soil foundation treatment

Abstract

The present invention relates to the field of crack detection technology, and specifically discloses a crack detection method and system for soft soil foundation treatment, comprising: obtaining a soft soil foundation image and dividing it into sub-blocks, with sub-blocks marked with cracks as risk blocks; calculating a crack risk coefficient, and generating a continuous analysis signal when the crack risk coefficient exceeds a threshold; based on the continuous analysis signal, calculating the crack continuous area ratio, the crack risk coefficient ratio, and the mean of the area ratio difference to obtain a crack degree coefficient, and generating a degree warning signal when the crack degree coefficient exceeds a threshold; based on the degree warning signal, obtaining the distribution position and regional area of ​​the load-bearing columns, calculating the load-bearing warning coefficient, and sending a warning signal to the system if the load-bearing warning coefficient threshold is exceeded. The present invention can accurately detect cracks in soft soil foundations, effectively assess the crack degree and the risk of load-bearing columns, and provide protection for engineering safety.

Description

Technical Field

[0001] The present invention relates to the technical field of crack detection, and in particular to a crack detection method and system for soft soil foundation treatment. Background Art

[0002] Soft soil foundations are common in construction projects. Under the load of buildings or infrastructure, soft soil foundations are prone to uneven settlement, which in turn causes cracks. These cracks not only affect the stability of the foundation, but also seriously threaten the safety and service life of the project.

[0003] A Chinese patent application with publication number CN117743830A discloses a bridge crack detection method and system, including: dividing the bridge deck into multiple detection areas and obtaining crack data for each detection area; marking the detection areas based on the crack data, marking the detection areas as crack detection areas and non-crack detection areas, and calculating the crack impact ratio; performing bridge safety inspection based on the crack impact ratio and generating a bridge safety signal; obtaining a crack growth coefficient based on the low-risk bridge signal and making a safety prediction for the bridge;

[0004] In the existing technology, it is difficult to accurately divide the detection area and comprehensively assess the crack risk. The degree of cracks is not comprehensively considered from multiple dimensions, and thus the degree of crack danger cannot be accurately judged. By dividing the soft soil foundation image into multiple sub-blocks, crack information can be captured more finely and the risk blocks can be accurately located. In the calculation of the crack risk coefficient, multiple factors such as the proportion of risk blocks and the mean crack area ratio are comprehensively considered. The degree of cracks is comprehensively considered from multiple dimensions, which can more accurately judge the degree of crack danger, issue early warning signals in a timely manner, and ensure project safety.

[0005] To this end, the present invention provides a crack detection method and system for soft soil foundation treatment. Summary of the Invention

[0006] The object of the present invention is to provide a crack detection method and system for soft soil foundation treatment to solve the above-mentioned problems.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] Obtain an image of the soft soil foundation, divide the image into multiple sub-blocks, obtain crack information for each sub-block, and mark the sub-block as a risk block if cracks are found;

[0009] Obtain the number of risk blocks and the crack area, calculate the risk block ratio Qk and the crack area ratio mean Mj, calculate the crack risk coefficient Wx based on the risk block ratio Qk and the crack area ratio Mj, and generate a continuous analysis signal if the crack risk coefficient Wx ≥ the crack risk coefficient threshold Wxz;

[0010] Based on the continuous analysis signal, the continuous crack areas of the risk block and the adjacent blocks are obtained, and the continuous crack area ratio Lx is calculated. The crack hazard coefficient Wx is calculated with the crack hazard coefficient threshold Wxz to obtain the crack hazard coefficient ratio Wxb. The crack area ratio of the two adjacent risk blocks is obtained, and the average area ratio difference Jz is calculated. Based on the continuous crack area ratio Lx, the crack hazard coefficient ratio Wxb, and the average area ratio difference Jz, the crack severity coefficient Cd is calculated. If the crack severity coefficient Cd ≥ the crack severity coefficient threshold Cdz, a severity warning signal is generated.

[0011] Based on the severity warning signal, the area of ​​the load-bearing column is obtained, and the crack severity coefficient Cd within the area of ​​a single load-bearing column is calculated. If the load-bearing crack severity coefficient is higher than the crack severity coefficient threshold Cdz, the load-bearing column is marked as a high-risk load-bearing column.

[0012] Calculate the crack proximity ratio of all high-risk load-bearing column areas to obtain the crack proximity ratio mean Jzb and the crack proximity ratio variance Fc; calculate the ratio of the number of high-risk load-bearing columns to the total number of load-bearing columns to obtain the proportion of high-risk load-bearing columns Gw; based on the high-risk load-bearing column proportion Gw, the crack proximity ratio mean Jzb, and the crack proximity ratio variance Fc, calculate the load-bearing warning coefficient Jg; if the load-bearing warning coefficient Jg ≥ the load-bearing warning coefficient threshold Jgz, send a warning signal to the system.

[0013] As a further technical solution of the present invention: the crack risk coefficient Wx is obtained as follows:

[0014] Based on the risk block proportion Qk and the mean crack area ratio Mj, the crack risk coefficient Wx is calculated by a weighted formula;

[0015] The continuous analysis signal is generated in the following manner: if the crack risk coefficient Wx≥the crack risk coefficient threshold Wxz, it indicates that the crack risk of the soft soil foundation is relatively high, and a continuous analysis signal is generated.

[0016] As a further technical solution of the present invention: the risk block is obtained in the following manner:

[0017] Get the crack information of each sub-block. If there is a crack in the sub-block, mark the sub-block as a risky block.

[0018] The risk block ratio Qk and the fracture area ratio mean Mj are obtained as follows:

[0019] Obtain the number of risk blocks, and sum the number of all risk blocks to obtain the total number of risk blocks;

[0020] Get the total number of all sub-blocks, calculate the sum of the number of all sub-blocks, and get the total number of sub-blocks;

[0021] The total number of risk blocks and the total number of sub-blocks are processed with the ratio to obtain the risk block ratio, which is marked as Qk;

[0022] Obtain the crack area and sub-block area in the risk block, and perform a ratio calculation on the crack area to the sub-block area to obtain the crack area ratio;

[0023] The crack area ratios of all risk blocks are obtained, and the crack area ratios of all risk blocks are summed and averaged to obtain the mean crack area ratio, which is marked as Mj.

[0024] As a further technical solution of the present invention: the crack degree coefficient Cd is obtained as follows:

[0025] The crack degree coefficient Cd is calculated based on the crack continuous area ratio Lx, the crack hazard coefficient ratio Wxb, and the average area ratio difference Jz;

[0026] By formula: The crack degree coefficient Cd is calculated, where b1, b2, and b3 are preset proportional coefficients;

[0027] The method for obtaining the early warning analysis signal is: if the crack degree coefficient Cd≥the crack degree coefficient threshold Cdz, a degree early warning signal is generated.

[0028] As a further technical solution of the present invention: the method for obtaining the crack continuous area ratio Lx is:

[0029] Obtain the crack information of the risk block and the adjacent blocks. If the cracks are continuous in the risk block and the adjacent blocks, calculate the continuous crack area to obtain the continuous crack area.

[0030] Obtain the continuous area of ​​cracks in all risk blocks, sum and average the continuous areas of cracks in all risk blocks to obtain the mean continuous area of ​​cracks;

[0031] The area of ​​all risk blocks is obtained, and the ratio of the mean continuous crack area to the area of ​​all risk blocks is calculated to obtain the continuous crack area ratio, which is marked as Lx.

[0032] As a further technical solution of the present invention: the crack risk coefficient ratio Wxb is obtained as follows:

[0033] Obtain the difference between the crack risk coefficient Wx and the crack risk coefficient threshold Wxz to obtain the crack risk coefficient difference;

[0034] The crack hazard coefficient difference is processed by ratioing the crack hazard coefficient Wxz to obtain the crack hazard coefficient ratio, which is marked as Wxb;

[0035] The area ratio difference mean value Jz is obtained as follows:

[0036] The crack areas of two adjacent risk blocks are compared and the absolute value is taken to obtain the area ratio difference;

[0037] Obtain the area ratio differences of all risk blocks, sum and average the area ratio differences to obtain the mean area ratio difference, and mark the mean area ratio difference as Jz.

[0038] As a further technical solution of the present invention: the method for obtaining the high-risk load-bearing column is:

[0039] Obtain the distribution position of the load-bearing columns on the soft soil foundation and calculate the area of ​​the load-bearing columns;

[0040] Calculate the crack degree coefficient Cd within the area of ​​a single load-bearing column to obtain the load-bearing crack degree coefficient;

[0041] If the load-bearing crack degree coefficient within the area of ​​a single load-bearing column is ≥ the crack degree coefficient threshold Cdz, the load-bearing column will be marked as a high-risk load-bearing column.

[0042] As a further technical solution of the present invention: the load-bearing warning coefficient Jg is obtained as follows:

[0043] Based on the proportion of high-risk load-bearing columns Gw, the mean value of crack proximity ratio Jzb, and the variance of crack proximity ratio Fc, the load-bearing warning coefficient Jg is calculated;

[0044] By formula: The load-bearing warning coefficient Jg is calculated, where c1, c2, and c3 are preset proportional coefficients, and e c1+c2 It is an exponential function with e as base and c1+c2 as exponent.

[0045] As a further technical solution of the present invention: the method for obtaining the proportion of high-risk load-bearing columns Gw is as follows;

[0046] Obtain the number of high-risk load-bearing columns and the number of all load-bearing columns, calculate the ratio of high-risk load-bearing columns by the ratio of the number of high-risk load-bearing columns to the number of all load-bearing columns, and mark the ratio of high-risk load-bearing columns as Gw;

[0047] The method for obtaining the crack closeness ratio mean value Jzb is as follows:

[0048] The difference between the load-bearing crack degree coefficient and the crack degree coefficient threshold Cdz in the high-risk load-bearing column is taken and the absolute value is taken to obtain the crack degree difference;

[0049] The crack degree difference is processed by ratioing the crack degree coefficient threshold Cdz to obtain the crack close ratio;

[0050] Obtain the crack closeness ratios of all high-risk load-bearing column areas, sum and average the crack closeness ratios of all load-bearing column areas, and obtain the mean crack closeness ratio, which is marked as Jzb;

[0051] The crack closeness ratio variance Fc is obtained as follows:

[0052] The crack proximity ratios of all high-risk load-bearing column areas are taken as a data group, and the variance of the data group is calculated to obtain the crack proximity ratio variance, which is marked as Fc.

[0053] As a further technical solution of the present invention: a crack detection system for soft soil foundation treatment, comprising:

[0054] Block acquisition module: obtains images of soft soil foundation, divides the images into multiple sub-blocks, obtains crack information of each sub-block, and marks the sub-block as a risk block if cracks appear;

[0055] Parameter calculation module: obtains the number of risk blocks and the crack area, calculates the risk block ratio Qk and the crack area ratio mean Mj, calculates the crack risk coefficient Wx based on the risk block ratio Qk and the crack area ratio Mj, and generates a continuous analysis signal if the crack risk coefficient Wx ≥ the crack risk coefficient threshold Wxz;

[0056] Severity analysis module: Based on the continuous analysis signal, the continuous crack areas of the risk block and the adjacent blocks are obtained, the continuous crack area ratio Lx is calculated, the crack hazard coefficient Wx is calculated with the crack hazard coefficient threshold Wxz to obtain the crack hazard coefficient ratio Wxb, the crack area ratio of the two adjacent risk blocks is obtained, and the average area ratio difference Jz is calculated. Based on the continuous crack area ratio Lx, the crack hazard coefficient ratio Wxb, and the average area ratio difference Jz, the crack severity coefficient Cd is calculated. If the crack severity coefficient Cd ≥ the crack severity coefficient threshold Cdz, a severity warning signal is generated;

[0057] Early warning labeling module: Based on the degree warning signal, the area of ​​the load-bearing column is obtained, and the crack degree coefficient Cd within the area of ​​a single load-bearing column is calculated. If the load-bearing crack degree coefficient is higher than the crack degree coefficient threshold Cdz, the load-bearing column is marked as a high-risk load-bearing column;

[0058] Early warning analysis module: calculate the crack proximity ratio of all high-risk load-bearing column areas, obtain the crack proximity ratio mean Jzb and the crack proximity ratio variance Fc, calculate the ratio of the number of high-risk load-bearing columns to the total number of load-bearing columns, and obtain the proportion of high-risk load-bearing columns Gw. Based on the high-risk load-bearing column proportion Gw, the crack proximity ratio mean Jzb, and the crack proximity ratio variance Fc, calculate the load-bearing warning coefficient Jg. If the load-bearing warning coefficient Jg ≥ the load-bearing warning coefficient threshold Jgz, send a warning signal to the system.

[0059] Beneficial effects of the present invention:

[0060] (1) By subdividing the soft soil foundation image into multiple sub-blocks, the crack information of each sub-block is obtained, thereby accurately marking the risk blocks. The crack hazard coefficient is calculated based on multi-dimensional data such as the risk block proportion and the mean crack area ratio. The crack degree coefficient is further determined by calculating the crack continuous area ratio, crack hazard coefficient ratio, and area ratio difference mean. This method comprehensively considers the various characteristics of the cracks, avoids the limitations of a single indicator evaluation, and can more accurately reflect the true degree of danger of the cracks, providing a reliable basis for timely and effective repair and reinforcement measures.

[0061] (2) Obtain the distribution location of the load-bearing columns and calculate their area, then calculate the crack degree coefficient within the area of ​​a single load-bearing column and mark the high-risk load-bearing columns. By calculating parameters such as the crack proximity ratio, the mean of the crack proximity ratio, the variance of the crack proximity ratio, and the proportion of high-risk load-bearing columns, the load-bearing warning coefficient is obtained, achieving a quantitative assessment of the risk of the load-bearing columns. This enables engineering personnel to promptly grasp the safety status of the load-bearing columns and receive a warning signal in time when the load-bearing warning coefficient reaches the threshold, so that they can quickly take emergency reinforcement measures to reduce potential economic losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] The present invention will be further described below with reference to the accompanying drawings.

[0063] Figure 1 This is a flow chart of a crack detection method for soft soil foundation treatment according to the present invention;

[0064] Figure 2 This is a module diagram of a crack detection system for soft soil foundation treatment in the present invention. DETAILED DESCRIPTION

[0065] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making any creative efforts shall fall within the scope of protection of the present invention.

[0066] Example 1

[0067] See also Figure 1 As shown, the present invention is a crack detection method for soft soil foundation treatment, comprising:

[0068] Step 1: Obtain an image of the soft soil foundation, divide the image into multiple sub-blocks, obtain crack information for each sub-block, and mark the sub-block as a risk block if cracks appear;

[0069] Using an image sensor to acquire an image of the soft soil foundation, and dividing the image into multiple sub-blocks;

[0070] Get the crack information of each sub-block. If there is a crack in the sub-block, mark the sub-block as a risky block.

[0071] In some embodiments, the ground foundation image is pre-processed by using Gaussian filtering to remove noise interference in the image, and the colored ground foundation image is grayscaled to obtain a gray ground foundation image, so as to reduce subsequent calculations and enhance the contrast of the image, making the difference between the crack and the background more obvious, thereby facilitating subsequent crack identification;

[0072] Step 2: Obtain the number of risk blocks and the crack area, calculate the risk block ratio Qk and the crack area ratio mean Mj, calculate the crack risk coefficient Wx based on the risk block ratio Qk and the crack area ratio Mj, and generate a continuous analysis signal if the crack risk coefficient Wx ≥ the crack risk coefficient threshold Wxz;

[0073] Obtain the number of risk blocks, and sum the number of all risk blocks to obtain the total number of risk blocks;

[0074] Get the total number of all sub-blocks, calculate the sum of the number of all sub-blocks, and get the total number of sub-blocks;

[0075] The total number of risk blocks and the total number of sub-blocks are processed with the ratio to obtain the risk block ratio, which is marked as Qk;

[0076] Obtain the crack area and sub-block area in the risk block, and perform a ratio calculation on the crack area to the sub-block area to obtain the crack area ratio;

[0077] Obtain the crack area ratios of all risk blocks, sum and average the crack area ratios of all risk blocks to obtain the mean crack area ratio, and mark the mean crack area ratio as Mj;

[0078] Based on the risk block ratio Qk and the mean crack area ratio Mj, the crack risk coefficient Wx is calculated;

[0079] The crack risk coefficient Wx is calculated using the formula: Wx = a1*Qk+a2*Mj, where a1 and a2 are preset proportional coefficients;

[0080] Compare the crack risk factor Wx with the crack risk factor threshold Wxz;

[0081] If the crack risk factor Wx ≥ the crack risk factor threshold Wxz, it indicates that the crack risk of the soft soil foundation is relatively high, and a continuous analysis signal is generated;

[0082] If the crack risk factor Wx exceeds the crack risk factor threshold Wxz, it indicates that the crack risk of the soft soil foundation is within the expected range, and it is still necessary to continue to detect changes in the crack risk factor Wx;

[0083] It should be noted that continuous analysis signals are generated to detect the continuity of cracks in risk blocks and further determine the degree of crack danger in soft soil foundations;

[0084] The technical solution of this embodiment is as follows: an image of a soft soil foundation is acquired, the image is divided into multiple sub-blocks, crack information of each sub-block is acquired, if cracks occur, the sub-block is marked as a risk block, the number of risk blocks and the crack area are acquired, the proportion of risk blocks Qk and the mean crack area ratio Mj are calculated, the crack risk coefficient Wx is calculated based on the risk block proportion Qk and the crack area ratio Mj, and if the crack risk coefficient Wx ≥ the crack risk coefficient threshold Wxz, a continuous analysis signal is generated.

[0085] Example 2

[0086] Based on Example 1, the present invention is a crack detection method for soft soil foundation treatment, further comprising:

[0087] Step 3: Based on the continuous analysis signal, obtain the continuous crack areas of the risk block and the adjacent blocks, calculate the continuous crack area ratio Lx, calculate the crack hazard coefficient Wx and the crack hazard coefficient threshold Wxz to obtain the crack hazard coefficient ratio Wxb, obtain the crack area ratio of the two adjacent risk blocks, calculate the average area ratio difference Jz, calculate the crack severity coefficient Cd based on the continuous crack area ratio Lx, the crack hazard coefficient ratio Wxb, and the average area ratio difference Jz, and generate a severity warning signal if the crack severity coefficient Cd ≥ the crack severity coefficient threshold Cdz;

[0088] Obtain the crack information of the risk block and the adjacent blocks. If the cracks are continuous in the risk block and the adjacent blocks, calculate the continuous crack area to obtain the continuous crack area.

[0089] It should be noted that adjacent blocks refer to two blocks located close to each other and sharing a common boundary in the soft soil foundation image; continuous cracks refer to cracks extending without interruption within two risk blocks, with cracks in one risk block transitioning uninterruptedly to the adjacent block, forming a through-crack morphology.

[0090] Obtain the continuous area of ​​cracks in all risk blocks, sum and average the continuous areas of cracks in all risk blocks to obtain the mean continuous area of ​​cracks;

[0091] Obtain the area of ​​all risk blocks, and perform a ratio calculation on the mean continuous crack area and the area of ​​all risk blocks to obtain the continuous crack area ratio, which is marked as Lx.

[0092] Obtain the difference between the crack risk coefficient Wx and the crack risk coefficient threshold Wxz to obtain the crack risk coefficient difference;

[0093] The crack hazard coefficient difference is processed by ratioing the crack hazard coefficient Wxz to obtain the crack hazard coefficient ratio, which is marked as Wxb;

[0094] The crack areas of two adjacent risk blocks are compared and the absolute value is taken to obtain the area ratio difference;

[0095] Obtain the area ratio differences of all risk blocks, sum and average the area ratio differences to obtain the mean area ratio difference, and mark the mean area ratio difference as Jz;

[0096] The crack degree coefficient Cd is calculated based on the crack continuous area ratio Lx, the crack hazard coefficient ratio Wxb, and the average area ratio difference Jz;

[0097] By formula: The crack degree coefficient Cd is calculated, where b1, b2, and b3 are preset proportional coefficients;

[0098] Compare the crack degree coefficient Cd with the crack degree coefficient threshold Cdz;

[0099] If the crack degree coefficient Cd ≥ the crack degree coefficient threshold Cdz, it indicates that the degree of the crack is relatively serious and a degree warning signal is generated;

[0100] If the crack degree coefficient Cd is less than the crack degree coefficient threshold Cdz, it indicates that the degree of the crack is relatively within the expected range, but it is still necessary to continue monitoring the changes in the crack degree coefficient Cd;

[0101] It should be noted that when the crack severity coefficient exceeds the threshold and a severity warning signal is issued, relevant engineering personnel should take immediate action to conduct a more in-depth investigation and analysis of the cracks.

[0102] Step 4: Based on the severity warning signal, obtain the distribution location of the load-bearing columns on the soft soil foundation, calculate the area of ​​the load-bearing columns, and calculate the crack severity coefficient Cd within the area of ​​a single load-bearing column. If the load-bearing crack severity coefficient is higher than the crack severity coefficient threshold Cdz, mark the load-bearing column as a high-risk load-bearing column;

[0103] Obtain the distribution position of the load-bearing columns on the soft soil foundation and calculate the area of ​​the load-bearing columns;

[0104] Calculate the crack degree coefficient Cd within the area of ​​a single load-bearing column to obtain the load-bearing crack degree coefficient;

[0105] If the load-bearing crack degree coefficient within the area of ​​a single load-bearing column is ≥ the crack degree coefficient threshold Cdz, the load-bearing column will be marked as a high-risk load-bearing column;

[0106] If the load-bearing crack degree coefficient within the area of ​​a single load-bearing column is ≥ the crack degree coefficient threshold Cdz, the load-bearing column will be marked as a low-risk load-bearing column;

[0107] Step 5. Calculate the crack proximity ratio based on the high-risk load-bearing columns. Calculate the crack proximity ratio of all high-risk load-bearing column areas to obtain the crack proximity ratio mean Jzb and the crack proximity ratio variance Fc. Calculate the ratio of the number of high-risk load-bearing columns to the total number of load-bearing columns to obtain the high-risk load-bearing column proportion Gw. Calculate the load-bearing warning coefficient Jg based on the high-risk load-bearing column proportion Gw, the crack proximity ratio mean Jzb, and the crack proximity ratio variance Fc. If the load-bearing warning coefficient Jg ≥ the load-bearing warning coefficient threshold Jgz, send a warning signal to the system.

[0108] The difference between the load-bearing crack degree coefficient and the crack degree coefficient threshold Cdz in the high-risk load-bearing column is taken and the absolute value is taken to obtain the crack degree difference;

[0109] The crack degree difference is processed by ratioing the crack degree coefficient threshold Cdz to obtain the crack close ratio;

[0110] Obtain the crack closeness ratios of all high-risk load-bearing column areas, sum and average the crack closeness ratios of all load-bearing column areas, and obtain the mean crack closeness ratio, which is marked as Jzb;

[0111] The crack close ratios of all high-risk load-bearing column areas are taken as a data group, and the variance of the data group is calculated to obtain the crack close ratio variance, which is marked as Fc;

[0112] Obtain the number of high-risk load-bearing columns and the number of all load-bearing columns, calculate the ratio of high-risk load-bearing columns by the ratio of the number of high-risk load-bearing columns to the number of all load-bearing columns, and mark the ratio of high-risk load-bearing columns as Gw;

[0113] Based on the proportion of high-risk load-bearing columns Gw, the mean value of crack proximity ratio Jzb, and the variance of crack proximity ratio Fc, the load-bearing warning coefficient Jg is calculated;

[0114] By formula: The load-bearing warning coefficient Jg is calculated, where c1, c2, and c3 are preset proportional coefficients, and e c1+c2 It is an exponential function with e as base and c1+c2 as exponent;

[0115] Compare the load-bearing warning coefficient Jg with the load-bearing warning coefficient threshold Jgz;

[0116] If the load-bearing warning coefficient Jg ≥ the load-bearing warning coefficient threshold Jgz, the load-bearing columns of the soft soil foundation are facing a serious risk as a whole. If you want the system to send a warning signal, you need to take emergency reinforcement measures immediately.

[0117] If the load-bearing warning coefficient Jg is less than the load-bearing warning coefficient threshold Jgz, the soft soil foundation's load-bearing columns, while presenting a certain risk, are still manageable. At this point, continued monitoring of crack development in the columns is necessary, with increased monitoring frequency and contingency plans in place to ensure timely and effective action should the risk intensify.

[0118] The technical solution of this embodiment is as follows: based on the continuous analysis signal, the continuous crack area of ​​the risk block and the adjacent blocks is obtained, the continuous crack area ratio Lx is calculated, the crack risk coefficient Wx is calculated with the crack risk coefficient threshold Wxz to obtain the crack risk coefficient ratio Wxb, the crack area ratio of the two adjacent risk blocks is obtained, the area ratio difference mean Jz is calculated, and the crack degree coefficient Cd is calculated based on the continuous crack area ratio Lx, the crack risk coefficient ratio Wxb, and the area ratio difference mean Jz. If the crack degree coefficient Cd ≥ the crack degree coefficient threshold Cdz, a degree warning signal is generated. Based on the degree warning signal, the distribution position of the soft soil foundation bearing column is obtained, and the area of ​​the bearing column area is calculated. , calculate the crack degree coefficient Cd within the area of ​​a single load-bearing column. If the load-bearing crack degree coefficient is higher than the crack degree coefficient threshold Cdz, mark the load-bearing column as a high-risk load-bearing column. Based on the high-risk load-bearing column, calculate the crack proximity ratio. Calculate the crack proximity ratio of all high-risk load-bearing column areas to obtain the crack proximity ratio mean Jzb and crack proximity ratio variance Fc. Calculate the ratio of the number of high-risk load-bearing columns to the number of all load-bearing columns to obtain the proportion of high-risk load-bearing columns Gw. Based on the high-risk load-bearing column proportion Gw, the crack proximity ratio mean Jzb, and the crack proximity ratio variance Fc, calculate the load-bearing warning coefficient Jg. If the load-bearing warning coefficient Jg ≥ the load-bearing warning coefficient threshold Jgz, send a warning signal to the system.

[0119] Example 3

[0120] The present invention is a crack detection system for soft soil foundation treatment, comprising:

[0121] Block acquisition module: obtains images of soft soil foundation, divides the images into multiple sub-blocks, obtains crack information of each sub-block, and marks the sub-block as a risk block if cracks appear;

[0122] Parameter calculation module: obtains the number of risk blocks and the crack area, calculates the risk block ratio Qk and the crack area ratio mean Mj, calculates the crack risk coefficient Wx based on the risk block ratio Qk and the crack area ratio Mj, and generates a continuous analysis signal if the crack risk coefficient Wx ≥ the crack risk coefficient threshold Wxz;

[0123] Severity analysis module: Based on the continuous analysis signal, the continuous crack areas of the risk block and the adjacent blocks are obtained, the continuous crack area ratio Lx is calculated, the crack hazard coefficient Wx is calculated with the crack hazard coefficient threshold Wxz to obtain the crack hazard coefficient ratio Wxb, the crack area ratio of the two adjacent risk blocks is obtained, and the average area ratio difference Jz is calculated. Based on the continuous crack area ratio Lx, the crack hazard coefficient ratio Wxb, and the average area ratio difference Jz, the crack severity coefficient Cd is calculated. If the crack severity coefficient Cd ≥ the crack severity coefficient threshold Cdz, a severity warning signal is generated;

[0124] Early warning labeling module: Based on the degree warning signal, the distribution position of the load-bearing columns on the soft soil foundation is obtained, and the area of ​​the load-bearing columns is calculated. The crack degree coefficient Cd within the area of ​​a single load-bearing column is calculated. If the load-bearing crack degree coefficient is higher than the crack degree coefficient threshold Cdz, the load-bearing column is marked as a high-risk load-bearing column;

[0125] Early warning analysis module: Based on high-risk load-bearing columns, the crack proximity ratio is calculated. The crack proximity ratio of all high-risk load-bearing column areas is calculated to obtain the crack proximity ratio mean value Jzb and the crack proximity ratio variance Fc. The ratio of the number of high-risk load-bearing columns to the total number of load-bearing columns is calculated to obtain the high-risk load-bearing column proportion Gw. Based on the high-risk load-bearing column proportion Gw, the crack proximity ratio mean value Jzb, and the crack proximity ratio variance Fc, the load-bearing warning coefficient Jg is calculated. If the load-bearing warning coefficient Jg ≥ the load-bearing warning coefficient threshold value Jgz, a warning signal is sent to the system.

[0126] The above is a detailed description of an embodiment of the present invention. However, the content described is only a preferred embodiment of the present invention and should not be considered to limit the scope 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 crack detection method for soft soil foundation treatment, characterized by: Obtain an image of the soft soil foundation, divide the image into multiple sub-blocks, obtain crack information for each sub-block, and mark the sub-block as a risk block if cracks are found; Obtain the number of risk blocks and the crack area, calculate the risk block ratio Qk and the crack area ratio mean Mj, calculate the crack risk coefficient Wx based on the risk block ratio Qk and the crack area ratio Mj, and generate a continuous analysis signal if the crack risk coefficient Wx ≥ the crack risk coefficient threshold Wxz; Based on the continuous analysis signal, the continuous crack areas of the risk block and the adjacent blocks are obtained, and the continuous crack area ratio Lx is calculated. The crack hazard coefficient Wx is calculated with the crack hazard coefficient threshold Wxz to obtain the crack hazard coefficient ratio Wxb. The crack area ratio of the two adjacent risk blocks is obtained, and the average area ratio difference Jz is calculated. Based on the continuous crack area ratio Lx, the crack hazard coefficient ratio Wxb, and the average area ratio difference Jz, the crack severity coefficient Cd is calculated. If the crack severity coefficient Cd ≥ the crack severity coefficient threshold Cdz, a severity warning signal is generated. The area ratio difference mean value Jz is obtained as follows: The crack areas of two adjacent risk blocks are compared and the absolute value is taken to obtain the area ratio difference; Obtain the area ratio differences of all risk blocks, sum and average the area ratio differences to obtain the mean area ratio difference, and mark the mean area ratio difference as Jz; Based on the severity warning signal, the area of ​​the load-bearing column is obtained, and the crack severity coefficient Cd within the area of ​​a single load-bearing column is calculated. If the load-bearing crack severity coefficient is higher than the crack severity coefficient threshold Cdz, the load-bearing column is marked as a high-risk load-bearing column. Obtain the crack proximity ratio of all high-risk load-bearing column areas, calculate the crack proximity ratio mean Jzb and the crack proximity ratio variance Fc, calculate the ratio of the number of high-risk load-bearing columns to the total number of load-bearing columns, and obtain the high-risk load-bearing column proportion Gw. Based on the high-risk load-bearing column proportion Gw, the crack proximity ratio mean Jzb, and the crack proximity ratio variance Fc, calculate the load-bearing warning coefficient Jg. If the load-bearing warning coefficient Jg ≥ the load-bearing warning coefficient threshold Jgz, send a warning signal to the system. The method for obtaining the crack closeness ratio mean value Jzb is as follows: The difference between the load-bearing crack degree coefficient and the crack degree coefficient threshold Cdz in the high-risk load-bearing column is taken and the absolute value is taken to obtain the crack degree difference; The crack degree difference is processed by ratioing the crack degree coefficient threshold Cdz to obtain the crack close ratio; The crack closeness ratios of all high-risk load-bearing column areas are obtained, and the crack closeness ratios of all load-bearing column areas are summed and averaged to obtain the mean crack closeness ratio, which is marked as Jzb.

2. A crack detection method for soft soil foundation treatment according to claim 1, characterized in that: The risk block is obtained as follows: Get the crack information of each sub-block. If there is a crack in the sub-block, mark the sub-block as a risky block. The crack risk coefficient Wx is obtained as follows: Based on the risk block proportion Qk and the mean crack area ratio Mj, the crack risk coefficient Wx is calculated by a weighted formula; The continuous analysis signal is generated in the following manner: if the crack risk coefficient Wx≥the crack risk coefficient threshold Wxz, it indicates that the crack risk of the soft soil foundation is relatively high, and a continuous analysis signal is generated.

3. The crack detection method for soft soil foundation treatment according to claim 2, characterized in that: The risk block ratio Qk and the fracture area ratio mean Mj are obtained as follows: Obtain the number of risk blocks, and sum the number of all risk blocks to obtain the total number of risk blocks; Get the total number of all sub-blocks, calculate the sum of the number of all sub-blocks, and get the total number of sub-blocks; The total number of risk blocks and the total number of sub-blocks are processed with the ratio to obtain the risk block ratio, which is marked as Qk; Obtain the crack area and sub-block area in the risk block, and perform a ratio calculation on the crack area to the sub-block area to obtain the crack area ratio; The crack area ratios of all risk blocks are obtained, and the crack area ratios of all risk blocks are summed and averaged to obtain the mean crack area ratio, which is marked as Mj.

4. The crack detection method for soft soil foundation treatment according to claim 1, characterized in that: The crack degree coefficient Cd is obtained as follows: The crack degree coefficient Cd is calculated based on the crack continuous area ratio Lx, the crack hazard coefficient ratio Wxb, and the average area ratio difference Jz; By formula: The crack degree coefficient Cd is calculated, where b1, b2, and b3 are preset proportional coefficients; If the crack degree coefficient Cd ≥ the crack degree coefficient threshold Cdz, a degree warning signal is generated.

5. The crack detection method for soft soil foundation treatment according to claim 4, characterized in that: The crack continuous area ratio Lx is obtained as follows: Obtain the crack information of the risk block and the adjacent blocks. If the cracks are continuous in the risk block and the adjacent blocks, calculate the continuous crack area to obtain the continuous crack area. Obtain the continuous area of ​​cracks in all risk blocks, sum and average the continuous areas of cracks in all risk blocks to obtain the mean continuous area of ​​cracks; The area of ​​all risk blocks is obtained, and the ratio of the mean continuous crack area to the area of ​​all risk blocks is calculated to obtain the continuous crack area ratio, which is marked as Lx.

6. The crack detection method for soft soil foundation treatment according to claim 4, characterized in that: The crack risk coefficient ratio Wxb is obtained as follows: Obtain the difference between the crack risk coefficient Wx and the crack risk coefficient threshold Wxz to obtain the crack risk coefficient difference; The crack hazard coefficient difference is ratioed with the crack hazard coefficient Wxz to obtain the crack hazard coefficient ratio, which is marked as Wxb.

7. The crack detection method for soft soil foundation treatment according to claim 1, characterized in that: The method for obtaining the high-risk load-bearing column is: Obtain the distribution position of the load-bearing columns on the soft soil foundation and calculate the area of ​​the load-bearing columns; Calculate the crack degree coefficient Cd within the area of ​​a single load-bearing column to obtain the load-bearing crack degree coefficient; If the load-bearing crack degree coefficient within the area of ​​a single load-bearing column is ≥ the crack degree coefficient threshold Cdz, the load-bearing column will be marked as a high-risk load-bearing column.

8. The crack detection method for soft soil foundation treatment according to claim 1, characterized in that: The load-bearing warning coefficient Jg is obtained as follows: Based on the proportion of high-risk load-bearing columns Gw, the mean value of crack proximity ratio Jzb, and the variance of crack proximity ratio Fc, the load-bearing warning coefficient Jg is calculated; By formula: The load-bearing warning coefficient Jg is calculated, where c1, c2, and c3 are preset proportional coefficients, and e c1+c2 It is an exponential function with e as base and c1+c2 as exponent.

9. The crack detection method for soft soil foundation treatment according to claim 8, characterized in that: The method for obtaining the proportion of high-risk load-bearing columns Gw is as follows: Obtain the number of high-risk load-bearing columns and the number of all load-bearing columns, calculate the ratio of high-risk load-bearing columns by the ratio of the number of high-risk load-bearing columns to the number of all load-bearing columns, and mark the ratio of high-risk load-bearing columns as Gw; The crack closeness ratio variance Fc is obtained as follows: The crack proximity ratios of all high-risk load-bearing column areas are taken as a data group, and the variance of the data group is calculated to obtain the crack proximity ratio variance, which is marked as Fc.

10. A crack detection system for soft soil foundation treatment, characterized by: The system is used to implement the detection method according to any one of claims 1 to 9, characterized in that: Block acquisition module: obtains images of soft soil foundation, divides the images into multiple sub-blocks, obtains crack information of each sub-block, and marks the sub-block as a risk block if cracks appear; Parameter calculation module: obtains the number of risk blocks and the crack area, calculates the risk block ratio Qk and the crack area ratio mean Mj, calculates the crack risk coefficient Wx based on the risk block ratio Qk and the crack area ratio Mj, and generates a continuous analysis signal if the crack risk coefficient Wx ≥ the crack risk coefficient threshold Wxz; Severity analysis module: Based on the continuous analysis signal, the continuous crack areas of the risk block and the adjacent blocks are obtained, the continuous crack area ratio Lx is calculated, the crack hazard coefficient Wx is calculated with the crack hazard coefficient threshold Wxz to obtain the crack hazard coefficient ratio Wxb, the crack area ratio of the two adjacent risk blocks is obtained, and the average area ratio difference Jz is calculated. Based on the continuous crack area ratio Lx, the crack hazard coefficient ratio Wxb, and the average area ratio difference Jz, the crack severity coefficient Cd is calculated. If the crack severity coefficient Cd ≥ the crack severity coefficient threshold Cdz, a severity warning signal is generated; The area ratio difference mean value Jz is obtained as follows: The crack areas of two adjacent risk blocks are compared and the absolute value is taken to obtain the area ratio difference; Obtain the area ratio differences of all risk blocks, sum and average the area ratio differences to obtain the mean area ratio difference, and mark the mean area ratio difference as Jz; Early warning labeling module: Based on the degree warning signal, the area of ​​the load-bearing column is obtained, and the crack degree coefficient Cd within the area of ​​a single load-bearing column is calculated. If the load-bearing crack degree coefficient is higher than the crack degree coefficient threshold Cdz, the load-bearing column is marked as a high-risk load-bearing column; Early warning analysis module: obtain the crack proximity ratio of all high-risk load-bearing column areas, calculate the crack proximity ratio mean Jzb and the crack proximity ratio variance Fc, calculate the ratio of the number of high-risk load-bearing columns to the total number of load-bearing columns, and obtain the high-risk load-bearing column proportion Gw. Based on the high-risk load-bearing column proportion Gw, the crack proximity ratio mean Jzb, and the crack proximity ratio variance Fc, calculate the load-bearing warning coefficient Jg. If the load-bearing warning coefficient Jg ≥ the load-bearing warning coefficient threshold Jgz, a warning signal is sent to the system. The method for obtaining the crack closeness ratio mean value Jzb is as follows: The difference between the load-bearing crack degree coefficient and the crack degree coefficient threshold Cdz in the high-risk load-bearing column is taken and the absolute value is taken to obtain the crack degree difference; The crack degree difference is processed by ratioing the crack degree coefficient threshold Cdz to obtain the crack close ratio; The crack closeness ratios of all high-risk load-bearing column areas are obtained, and the crack closeness ratios of all load-bearing column areas are summed and averaged to obtain the mean crack closeness ratio, which is marked as Jzb.

Images