Crack detection method and system for soft soil foundation treatment

Abstract

The invention relates to the technical field of crack detection, and particularly discloses a crack detection method and system for soft soil foundation processing, and the method comprises the steps: obtaining a soft soil foundation image, dividing the soft soil foundation image into sub-blocks, and enabling the sub-blocks marked with cracks to be risk blocks; calculating a crack danger coefficient, and generating a continuous analysis signal if the crack danger coefficient exceeds a threshold value; based on the continuous analysis signal, calculating a crack continuous area ratio, a crack danger coefficient ratio and an area ratio difference mean value to obtain a crack degree coefficient, and if the crack degree coefficient exceeds a threshold value, generating a degree early warning signal; and according to the degree early warning signal, obtaining a load bearing column distribution position and a region area, calculating a load bearing warning coefficient, and if the load bearing warning coefficient exceeds a load bearing warning coefficient threshold value, sending a warning signal to the system. The soft soil foundation crack can be accurately detected, the crack degree and the bearing column risk are effectively evaluated, and guarantee is provided 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 widely used in engineering construction. 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, obtaining crack data of each detection area; marking the detection area based on the crack data of the detection area, marking the result as a crack detection area and a non-crack detection area, and calculating the crack influence ratio; performing bridge safety detection based on the crack influence ratio, generating a signal of whether the bridge is safe; obtaining a crack growth coefficient based on the low-risk signal of the bridge, and making a safety prediction for the bridge;

[0004] In the existing technology, it is difficult to accurately divide the detection area and comprehensively evaluate the crack risk. The degree of cracks is not comprehensively considered from multiple dimensions, so the degree of crack danger cannot be accurately judged. By dividing the soft soil foundation image into multiple sub-blocks, the crack information can be captured more finely and the risk blocks can be accurately located. In the calculation of the crack danger 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 time, 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 background 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 appear;

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

[0010] Based on the continuous analysis signal, the continuous crack area of ​​the risk block and the adjacent block is 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 two adjacent risk blocks is obtained, and the area ratio difference mean Jz is calculated. Based on the continuous crack area ratio Lx, the crack hazard coefficient ratio Wxb, and the area ratio difference mean Jz, the crack degree coefficient Cd is calculated. If the crack degree coefficient Cd ≥ the crack degree coefficient threshold Cdz, a degree warning signal is generated;

[0011] 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;

[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; 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.

[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 hazard coefficient Wx is calculated by a weighted formula;

[0015] The continuous analysis signal is generated in the following manner: 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 large, 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, sum the number of all risk blocks, and 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 a 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, perform ratio processing on the crack area and the sub-block area to obtain the crack area ratio;

[0023] The fracture area ratios of all risk blocks are obtained, and the fracture area ratios of all risk blocks are summed and averaged to obtain the mean fracture 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 area ratio difference mean 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 area of ​​the cracks to obtain the continuous area of ​​the cracks.

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

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

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

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

[0034] The crack risk factor difference is processed by ratio with the crack risk factor Wxz to obtain the crack risk factor ratio, and the crack risk factor ratio 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 as differences and the absolute values ​​are taken to obtain the area ratio difference;

[0037] The area ratio differences of all risk blocks are obtained, and the area ratio differences are summed and averaged to obtain the mean area ratio difference, which is marked 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, perform ratio processing on the number of high-risk load-bearing columns and the number of all load-bearing columns to obtain the proportion of high-risk load-bearing columns, and mark the proportion of high-risk load-bearing columns as Gw;

[0047] The method for obtaining the crack proximity 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 ratio with the crack degree coefficient threshold Cdz to obtain the crack close ratio;

[0050] Obtain the crack proximity ratios of all high-risk load-bearing column areas, sum and average the crack proximity ratios of all load-bearing column areas to obtain the mean value of the crack proximity ratio, and mark the mean value of the crack proximity ratio as Jzb;

[0051] The crack proximity 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 the image of the soft soil foundation, divides the image into multiple sub-blocks, obtains the crack information of each sub-block, and marks the sub-block as a risk block if cracks appear;

[0055] Parameter calculation module: obtain the number of risk blocks and the crack area, calculate the risk block proportion Qk and the crack area ratio mean Mj, calculate the crack risk coefficient Wx based on the risk block proportion 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;

[0056] Degree analysis module: based on the continuous analysis signal, the continuous crack area of ​​the risk block and the adjacent block is 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 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 hazard 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;

[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) The soft soil foundation image is subdivided into multiple sub-blocks, and the crack information of each sub-block is obtained, so as to accurately mark 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 cracks, avoids the limitations of single indicator evaluation, and can more accurately reflect the true degree of danger of cracks, providing a reliable basis for timely and effective repair and reinforcement measures.

[0061] (2) Obtain the distribution position 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. The load-bearing warning coefficient is obtained 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, thus achieving a quantitative assessment of the risk of the load-bearing columns. This enables engineering personnel to grasp the safety status of the load-bearing columns in a timely manner and receive warning signals in a timely manner when the load-bearing warning coefficient reaches the threshold, so that emergency reinforcement measures can be taken quickly to reduce potential economic losses. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0063] Figure 1 It is a flow chart of a crack detection method for soft soil foundation treatment of 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 be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[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 of each sub-block, and if cracks appear, mark the sub-block as a risk block;

[0069] Using an image sensor to acquire an image of the soft soil foundation, and dividing the image into a plurality of 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 foundation image is preprocessed, and the noise interference in the image is removed by using Gaussian filtering, and the colored foundation image is grayed to obtain a gray foundation image, so as to reduce subsequent calculations and enhance the image contrast, so that the difference between the crack and the background is more obvious, which is convenient for subsequent crack identification;

[0072] Step 2: Obtain the number of risk blocks and the crack area, calculate the risk block proportion Qk and the crack area ratio mean Mj, calculate the crack risk coefficient Wx based on the risk block proportion 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, sum the number of all risk blocks, and 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 a 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, perform ratio processing on the crack area and 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 proportion Qk and the mean crack area ratio Mj, the crack risk factor Wx is calculated;

[0079] The crack hazard coefficient Wx is calculated by 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 the change of the crack risk factor Wx;

[0083] It should be noted that a continuous analysis signal is 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: obtain an image of a soft soil foundation, divide the image into multiple sub-blocks, obtain crack information of each sub-block, mark the sub-block as a risk block if cracks appear, obtain the number of risk blocks and the crack area, calculate the risk block proportion Qk and the crack area ratio mean Mj, calculate the crack risk coefficient Wx 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, generate a continuous analysis signal.

[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, 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 area ratio difference mean Jz is calculated. Based on the continuous crack area ratio Lx, the crack hazard coefficient ratio Wxb, and the area ratio difference mean Jz, the crack degree coefficient Cd is calculated. If the crack degree coefficient Cd ≥ the crack degree coefficient threshold Cdz, a degree warning signal is generated;

[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 area of ​​the cracks to obtain the continuous area of ​​the cracks.

[0089] It should be noted that adjacent blocks refer to two blocks that are close to each other and have a common boundary in the soft soil foundation image; continuous cracks refer to cracks that are not interrupted in two risk blocks but extend, and cracks in one risk block transition to the adjacent block without interruption, forming a penetrating 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, and obtain the average continuous area of ​​cracks;

[0091] The area of ​​all risk blocks is obtained, and the mean value of the continuous crack area is ratioed to 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 factor Wx and the crack risk factor threshold Wxz to obtain the crack risk factor difference;

[0093] The crack risk factor difference is processed by ratio with the crack risk factor Wxz to obtain the crack risk factor ratio, and the crack risk factor ratio is marked as Wxb;

[0094] The crack areas of two adjacent risk blocks are compared as differences and the absolute values ​​are 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 area ratio difference mean 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 to monitor the change of the crack degree coefficient Cd;

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

[0102] Step 4: Based on the degree warning signal, obtain the distribution position of the load-bearing columns of the soft soil foundation, calculate the area of ​​the load-bearing columns, calculate the crack degree coefficient Cd within the area of ​​a single load-bearing column, and 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;

[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 is 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 is marked as a low-risk load-bearing column;

[0107] Step 5. Based on the high-risk load-bearing columns, calculate the crack proximity ratio, 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 number of all load-bearing columns, 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 ratio with the crack degree coefficient threshold Cdz to obtain the crack close ratio;

[0110] Obtain the crack proximity ratios of all high-risk load-bearing column areas, sum and average the crack proximity ratios of all load-bearing column areas to obtain the mean value of the crack proximity ratio, and mark the mean value of the crack proximity ratio as Jzb;

[0111] 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;

[0112] Obtain the number of high-risk load-bearing columns and the number of all load-bearing columns, perform ratio processing on the number of high-risk load-bearing columns and the number of all load-bearing columns to obtain the proportion of high-risk load-bearing columns, and mark the proportion 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 relatively 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, it indicates that the load-bearing columns of the soft soil foundation have certain risks, but they are still within the controllable range. At this time, it is still necessary to continue to pay attention to the development of cracks in the load-bearing columns, increase the monitoring frequency, and prepare emergency plans so that effective measures can be taken in time when the risk increases.

[0118] The technical solution of this embodiment is: based on the continuous analysis signal, the continuous crack area of ​​the risk block and the adjacent block is obtained, the continuous crack area ratio Lx is calculated, the crack risk factor Wx is calculated with the crack risk factor threshold Wxz to obtain the crack risk factor ratio Wxb, the crack area ratio of 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 crack continuous area ratio Lx, the crack risk factor 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 load-bearing column of the soft soil foundation is obtained, and the area of ​​the load-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 the 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 the image of the soft soil foundation, divides the image into multiple sub-blocks, obtains the crack information of each sub-block, and marks the sub-block as a risk block if cracks appear;

[0122] Parameter calculation module: obtain the number of risk blocks and the crack area, calculate the risk block proportion Qk and the crack area ratio mean Mj, calculate the crack risk coefficient Wx based on the risk block proportion 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;

[0123] Degree analysis module: based on the continuous analysis signal, the continuous crack area of ​​the risk block and the adjacent block is 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 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 hazard 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;

[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, calculate the crack proximity ratio, 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 number of all load-bearing columns, 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, and if the load-bearing warning coefficient Jg ≥ the load-bearing warning coefficient threshold Jgz, send a warning signal to the system;

[0126] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A crack detection method for soft soil foundation treatment, characterized in that: 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; Obtain the number of risk blocks and the crack area, calculate the risk block proportion Qk and the crack area ratio mean Mj, calculate the crack risk factor Wx based on the risk block proportion Qk and the crack area ratio Mj, and generate a continuous analysis signal if the crack risk factor Wx ≥ the crack risk factor threshold Wxz; Based on the continuous analysis signal, the continuous crack area of ​​the risk block and the adjacent block is 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 two adjacent risk blocks is obtained, and the area ratio difference mean Jz is calculated. Based on the continuous crack area ratio Lx, the crack hazard coefficient ratio Wxb, and the area ratio difference mean Jz, the crack degree coefficient Cd is calculated. 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 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; Get 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 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.

2. A crack detection method for soft soil foundation treatment according to claim 1, characterized in that: The risk block is obtained in the following manner: 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 factor Wx is obtained as follows: Based on the risk block proportion Qk and the mean crack area ratio Mj, the crack hazard coefficient Wx is calculated by a weighted formula; The continuous analysis signal is generated in the following manner: 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 large, and a continuous analysis signal is generated.

3. A 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, sum the number of all risk blocks, and 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 a ratio to obtain the risk block ratio, which is marked as Qk; Obtain the crack area and sub-block area in the risk block, perform ratio processing on the crack area and the sub-block area to obtain the crack area ratio; The fracture area ratios of all risk blocks are obtained, and the fracture area ratios of all risk blocks are summed and averaged to obtain the mean fracture area ratio, which is marked as Mj.

4. A crack detection method for soft soil foundation treatment according to claim 1, characterized in that: The method for obtaining the crack degree coefficient Cd is: The crack degree coefficient Cd is calculated based on the crack continuous area ratio Lx, the crack hazard coefficient ratio Wxb, and the area ratio difference mean Jz; By formula: The crack degree coefficient Cd is calculated, where b1, b2, and b3 are preset proportional coefficients; 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.

5. A crack detection method for soft soil foundation treatment according to claim 4, characterized in that: The method for obtaining the crack continuous area ratio Lx is: 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 area of ​​the cracks to obtain the continuous area of ​​the cracks. Obtain the continuous area of ​​cracks in all risk blocks, sum and average the continuous areas of cracks in all risk blocks, and obtain the average continuous area of ​​cracks; The area of ​​all risk blocks is obtained, and the mean value of the continuous crack area is ratioed to the area of ​​all risk blocks to obtain the continuous crack area ratio, which is marked as Lx.

6. A crack detection method for soft soil foundation treatment according to claim 4, characterized in that: The crack risk factor ratio Wxb is obtained as follows: Obtain the difference between the crack risk factor Wx and the crack risk factor threshold Wxz to obtain the crack risk factor difference; The crack risk factor difference is processed by ratio with the crack risk factor Wxz to obtain the crack risk factor ratio, and the crack risk factor ratio is marked as Wxb; The area ratio difference mean value Jz is obtained as follows: The crack areas of two adjacent risk blocks are compared as differences and the absolute values ​​are taken to obtain the area ratio difference; The area ratio differences of all risk blocks are obtained, and the area ratio differences are summed and averaged to obtain the mean area ratio difference, which is marked as Jz.

7. A crack detection method for soft soil foundation treatment according to claim 1, characterized in that: The high-risk load-bearing column is obtained by: 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. A 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, perform ratio processing on the number of high-risk load-bearing columns and the number of all load-bearing columns to obtain the proportion of high-risk load-bearing columns, and mark the proportion of high-risk load-bearing columns as Gw; The method for obtaining the crack proximity 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 ratio with the crack degree coefficient threshold Cdz to obtain the crack close ratio; Obtain the crack proximity ratios of all high-risk load-bearing column areas, sum and average the crack proximity ratios of all load-bearing column areas to obtain the mean value of the crack proximity ratio, and mark the mean value of the crack proximity ratio as Jzb; The crack proximity 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 in that: 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 the image of the soft soil foundation, divides the image into multiple sub-blocks, obtains the crack information of each sub-block, and marks the sub-block as a risk block if cracks appear; Parameter calculation module: obtain the number of risk blocks and the crack area, calculate the risk block proportion Qk and the crack area ratio mean Mj, calculate the crack risk coefficient Wx based on the risk block proportion 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; Degree analysis module: based on the continuous analysis signal, the continuous crack area of ​​the risk block and the adjacent block is 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 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 hazard 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; 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 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.

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