Suspension detection method, system and device for fluidized solidified soil

Abstract

The present application relates to the technical field of fluidized solidified soil detection, and specifically to a suspension detection method, system, and device for fluidized solidified soil. The method comprises: collecting ultrasonic signals from each detection of the fluidized solidified soil; calculating the horizontal fluctuation coefficient and the vertical fluctuation coefficient respectively based on the propagation characteristics of the ultrasonic wave in the fluidized solidified soil in the horizontal and vertical directions; constructing an influence weight based on the time series variation and calculating the suspension coefficient; and performing suspension detection of the fluidized solidified soil based on the size of the suspension coefficient. The present application aims to detect suspension anomalies in the early stages of segregation in the fluidized solidified soil and ensure the accuracy of the detection.

Description

Technical Field

[0001] The present application relates to the technical field of fluidized solidified soil detection, and in particular to a suspension detection method, system and device for fluidized solidified soil. Background Art

[0002] As a new type of foundation reinforcement material, fluidized soil has been widely used in construction projects due to its advantages such as convenient construction, low cost, and minimal environmental impact. Fluidized soil is a composite material that significantly improves the physical and mechanical properties of soil by adding a specific curing agent. However, the quality of fluidized soil is highly dependent on its mixing uniformity, particularly the maintenance of suspension, which ensures that all components (including solid particles, curing agent, and water) are evenly distributed without segregation during the construction process. The quality of suspension directly determines the ultimate strength, durability, and construction performance of the fluidized soil.

[0003] Although there are currently a variety of methods for evaluating the suspension properties of fluidized solidified soil, most of these methods have certain limitations. In the patent "CN116678786A A method for detecting the suspension properties of fluidized solidified soil", a method for detecting the suspension properties of fluidized solidified soil is proposed. In essence, the suspension properties are determined based on the density difference between each layer. This method requires accurate measurement of the volume and mass of the fluidized solidified soil, which means that the method can only measure the instantaneous suspension properties of the fluidized solidified soil in a liquid state. At the same time, since the judgment is based on the density difference between each layer, this method can only be used to determine the segregation phenomenon in the vertical direction. However, the occurrence of segregation is a temporal change process, and there is no guarantee that all the fluidized solidified soil is liquid when the segregation phenomenon occurs. At the same time, in the early stage of the segregation phenomenon, the stratification characteristics in the vertical direction are relatively weak, and local molecular aggregation may occur in the horizontal direction, that is, local segregation occurs in the horizontal direction. This method cannot detect the suspension properties in this case. Therefore, there is an urgent need for a more sensitive and accurate method for detecting the suspension properties of fluidized solidified soil with temporal measurement capabilities. Summary of the Invention

[0004] In view of the above, it is necessary to provide a suspension detection method, system and device for fluidized solidified soil to solve the above problems.

[0005] According to one aspect of the present application, a method for detecting the suspension property of fluidized solidified soil is provided, the method comprising:

[0006] Use ultrasonic probes at different heights to collect data in each area and obtain ultrasonic signals for each test;

[0007] Threshold segmentation and labeling are performed on the similarity between the ultrasonic signals of all two-way combinations at each height, and all labeling results are subjected to a runs test to obtain a probability value for each height; based on the numerical value of the probability value for each height and the distribution of all the similarities, the horizontal fluctuation coefficient obtained in each test is determined;

[0008] For each detection, the vertical fluctuation coefficient of each detection is obtained by comprehensively analyzing the similarity between the ultrasonic propagation time of any two areas at all heights and combining the similarity between the changes in the ultrasonic amplitude of the two areas at all heights;

[0009] Perform curve fitting on the horizontal fluctuation coefficients obtained from all previous tests. Based on the derivative value of the fitting curve in each test, the influence weights of the horizontal fluctuation coefficient and the vertical fluctuation coefficient are obtained respectively. The weighted summation is used to obtain the suspension coefficient.

[0010] Based on the suspension coefficient obtained by detection, the suspension properties of the fluidized solidified soil are judged.

[0011] The threshold segmentation and marking of the similarity between the ultrasonic signals of all two-to-two regions at each height are specifically as follows:

[0012] A segmentation threshold of the similarity between ultrasonic signals of all two-by-two regions at the same height is obtained, and a similarity greater than the segmentation threshold is marked as a first preset value, and a similarity less than the segmentation threshold is marked as a second preset value.

[0013] The determination of the horizontal fluctuation coefficient obtained in each detection is specifically as follows:

[0014] Based on the numerical relationship between the probability value obtained for each height and the preset significance level, a randomness measure for each height is obtained;

[0015] The mean of the similarity between all pairwise combinations of regions at each height is calculated, and the negative correlation mapping result of the mean is forward fused with the randomness measure; the forward fusion results obtained at all heights are accumulated to obtain the horizontal fluctuation coefficient.

[0016] The randomness measurement of each height is obtained as follows:

[0017] When the probability value obtained for each height is less than or equal to the preset significance level, 0 is used as the randomness measure of the corresponding height; otherwise, the probability value is used as the randomness measure of the corresponding height.

[0018] The vertical fluctuation coefficient obtained for each detection is specifically:

[0019] The sequence of ultrasonic signal propagation time at all heights in each region is recorded as the sound propagation sequence; the sequence of ultrasonic signal amplitude variation characteristics at all heights in each region is recorded as the sound attenuation sequence;

[0020] Calculate the first-order difference sequence of the sound propagation sequence and the sound attenuation sequence of each area respectively, and record the sum of the discrete degrees of the two first-order difference sequences as the first sum value;

[0021] Obtain the cumulative sum of the similarities between the sound propagation sequences of all two-combination areas, which is recorded as the second sum value; obtain the cumulative sum of the similarities between the sound attenuation sequences of all two-combination areas, which is recorded as the third sum value;

[0022] Recording the cumulative sum of the first sum values ​​of all regions as a fourth sum value;

[0023] The cumulative sum of the second sum value and the third sum value is recorded as a fifth sum value;

[0024] Based on the fourth sum and the fifth sum, a vertical fluctuation coefficient is determined; wherein the vertical fluctuation coefficient is positively correlated with the fourth sum and negatively correlated with the fifth sum.

[0025] The variation characteristic of the ultrasonic signal amplitude is determined by the difference between the ultrasonic signal amplitude at the initial moment and the ultrasonic signal amplitude at the end moment.

[0026] The influence weights of the horizontal fluctuation coefficient and the vertical fluctuation coefficient are obtained according to the derivative value of the fitting curve at each detection. The specific formula is: ;in, is the influence weight of the horizontal fluctuation coefficient, 、 They are the horizontal fluctuation coefficient and vertical fluctuation coefficient obtained by the current detection, is the derivative value of the fitting curve of the horizontal fluctuation coefficient at the current detection, 、 They are maximum function and minimum function respectively;

[0027] The difference between 1 and the influence weight of the horizontal fluctuation coefficient is used as the influence weight of the vertical fluctuation coefficient.

[0028] The process of judging the suspension property of the fluidized solidified soil based on the suspension property coefficient obtained by detection includes:

[0029] Calculate the average of the suspension coefficients of all current tests. When the suspension coefficient is greater than the average of the suspension coefficients, and the suspension coefficients obtained by the preset number of tests thereafter are all greater than their corresponding average of the suspension coefficients, it is determined that the suspension of the fluidized solidified soil is abnormal.

[0030] According to another aspect of the present application, a suspension detection device for fluidized solidified soil is provided, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of any one of the methods when executing the computer program.

[0031] According to another aspect of the present application, a suspension detection system for fluidized solidified soil is provided, wherein a computer program is stored in the system, and when the computer program is executed by a processor, any one of the methods described is implemented.

[0032] This application has at least the following beneficial effects:

[0033] The embodiment of the present application first calculates the horizontal fluctuation coefficient and the vertical fluctuation coefficient respectively according to the propagation of ultrasonic waves in the horizontal and vertical directions. These two indicators detect the segregation characteristics of fluidized solidified soil from the horizontal and vertical directions, thereby improving the accuracy and sensitivity of segregation phenomenon detection; then, by combining the temporal changes of segregation characteristics in the horizontal and vertical directions, the influence weight and suspension coefficient are calculated, further enhancing the sensitive detection capability of segregation phenomenon, and helping to discover the suspension anomaly of fluidized solidified soil at an earlier stage; using this method, not only the density anomaly between different layers is taken into account, but also the density difference in the horizontal direction of the same layer, and combined with the temporal changes, it is possible to detect the suspension anomaly in time at the early stage of the segregation phenomenon, while ensuring the accuracy of the detection results. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 A flowchart of the steps of the suspension detection method for fluidized solidified soil provided in this application;

[0035] Figure 2 This is a schematic diagram for obtaining the suspension coefficient provided in this application. DETAILED DESCRIPTION

[0036] In the description of the embodiments of this application, words such as "exemplary," "or," and "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of this application should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary," "or," and "for example" is intended to present the relevant concepts in a concrete manner.

[0037] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art in the art of this application. The terms used in the specification of this application are only for the purpose of describing specific embodiments and are not intended to limit this application.

[0038] It should also be noted that the terms "first" and "second" in this application and the accompanying drawings are used to distinguish similar objects, rather than to describe a specific order or sequence. The methods disclosed in the embodiments of this application or the methods shown in the flowcharts include one or more steps for implementing the methods. Without departing from the scope of this application, the order of executing multiple steps can be interchanged with each other, and some steps can also be deleted.

[0039] See also Figure 1 , which shows a flowchart of a suspension detection method for fluidized solidified soil provided by an embodiment of the present application, the method comprising the following steps:

[0040] Step 1: Use ultrasonic probes at different heights to collect data in each area and obtain ultrasonic signals for each test.

[0041] When testing fluidized solidified soil, first divide the entire fluidized solidified soil area into Areas are divided into two groups and each area is numbered, where different areas have different numbers; in each area, The ultrasonic probes are used to detect different depths. In this embodiment, Take 20, Take 5, it should be noted that, It can be divided according to the needs. The method of longitudinal distribution of ultrasonic probe is: determine the area of ​​​​the entire fluidized solidified soil The detection height can be determined by dividing the depth of the fluidized solidified soil area into The method uses a 5-height method, with an ultrasonic probe set up at each detection height in each area. Each ultrasonic probe operates at a 5MHz frequency and a 2.5MHz bandwidth, collecting ultrasonic signals from the fluidized solidified soil in each area. The signals are collected every 10 minutes, and the ultrasonic signals collected in each area are combined in chronological order to form an ultrasonic sequence for each ultrasonic probe in each area.

[0042] Step 2: Perform threshold segmentation and mark the similarity between the ultrasonic signals of all two-way combined areas at each height, and use the run test on all marked results to obtain the probability value of each height; based on the numerical size of the probability value of each height and the distribution of all the similarities, determine the horizontal fluctuation coefficient obtained in each detection.

[0043] The segregation phenomenon of fluidized solidified soil is essentially due to the uneven distribution of its internal substances or molecules, resulting in density changes. This uneven material distribution and density changes usually affect the propagation characteristics of waves in the medium. Compared with directly calculating the density, more sensitive detection can be achieved by monitoring the changes during wave propagation. At present, although some ultrasonic-based detection methods have been applied to fluidized solidified soil, these methods usually focus on the detection of instantaneous changes and it is difficult to provide accurate early warning at the early stage of segregation. In fact, the segregation of fluidized solidified soil is a gradually evolving time series process. If the changing characteristics of this process can be captured in advance, the suspension problem of fluidized solidified soil can be more effectively identified at an early stage.

[0044] According to the characteristics of ultrasonic signal propagation in a medium, the lower the density of the medium, the slower the sound propagation speed and the greater the sound attenuation. Segregation in fluidized solidified soil refers to the phenomenon in which certain molecules in the mixture, due to their similar physical properties, aggregate and separate from each other. This phenomenon, in other words, fluidized solidified soil mixing is uneven. This segregation can occur in both vertical and horizontal directions, necessitating analysis from both vertical and horizontal perspectives.

[0045] In the early stages of segregation in fluidized solidified soil, localized horizontal mixing inhomogeneity is particularly prominent. At this stage, due to the relatively mild segregation, substances or molecules only aggregate slightly in the same horizontal direction, resulting in a certain degree of randomness in the localized segregation. Consequently, the sound propagation fluctuations in different horizontal regions exhibit a certain degree of randomness. However, due to the relatively mild degree of segregation, the degree of anomaly in the sound propagation fluctuations is relatively small. As the segregation gradually intensifies, the same substances or molecules begin to aggregate significantly in the horizontal direction. Simultaneously, due to the vertical sedimentation effect, the horizontal aggregation increases, causing the sound propagation characteristics in different regions to become more consistent and the randomness to decrease. However, the overall degree of anomaly in the sound propagation fluctuations increases. Conversely, when segregation is absent, horizontal mixing is relatively uniform, the sound propagation characteristics are consistent across regions, and the overall variation is relatively small.

[0046] Calculate the similarity of the ultrasound sequences between each ultrasound probe in each area and the ultrasound probes at the same height in the remaining areas. In this embodiment, the Pearson correlation coefficient is used for calculation; in different implementations, the similarity can be calculated using the Spearman correlation coefficient or the mutual correlation coefficient. The similarity obtained at the same height between all pairwise combinations of areas is used as input, and the segmentation threshold is obtained using Otsu threshold segmentation. The marks greater than the segmentation threshold are marked as the first preset value, and the marks less than the segmentation threshold are marked as the second preset value; in this application, the first preset value is 1, and the second preset value is 0; wherein the first preset value is not equal to the second preset value. Then, the serial numbers of the two areas corresponding to each marking result are summed, and all the marking results at the same height are arranged in descending order according to the corresponding sum values ​​to form a similar sequence for that height, and then the similar sequence and the significance level are compared. As input, the run test is used to obtain the probability value of the corresponding height. Otsu threshold segmentation and run test are well-known technologies and will not be described in detail. The significance level The recommended value range is [0.01, 0.05]. In this embodiment, 0.05 is taken.

[0047] Based on the above analysis, the horizontal fluctuation coefficient is obtained to measure the suspension situation of the fluidized solidified soil in the horizontal direction. Specifically: when the probability value obtained at each height is less than or equal to the preset significance level, 0 is used as the randomness measure of the corresponding height; otherwise, the probability value is used as the randomness measure of the corresponding height; the mean of the similarity between all pairwise combinations of regions at each height is calculated, and the negative correlation mapping result of the mean is forward fused with the randomness measure; the forward fusion results obtained at all heights are accumulated to obtain the horizontal fluctuation coefficient.

[0048] In this embodiment, the mean of the similarity between all two combination regions of the i-th height is recorded as , the randomness measure of the i-th height is recorded as , the formula of the horizontal fluctuation coefficient is: ; Among them, exp() represents the exponential function with a natural constant as the base.

[0049] It can be understood that when there is no segregation phenomenon, the sound propagation in each area is relatively consistent, so the corresponding horizontal fluctuation coefficient is small; when the segregation phenomenon is relatively mild, the local segregation phenomenon in the horizontal direction will lead to greater randomness, but the anomaly of the sound propagation fluctuations in different areas will increase, so the horizontal fluctuation coefficient will also increase; when the segregation phenomenon is more serious, the same substances or molecules are increasingly gathered together in the horizontal direction, which weakens the randomness, but the degree of anomaly of the sound propagation fluctuations in different areas reaches a greater level, which makes the horizontal fluctuation coefficient relatively larger.

[0050] Step 3: For each detection, comprehensively analyze the similarity between the ultrasonic propagation time of any two areas at all heights, combined with the similarity of the changes in the ultrasonic amplitude of the two areas at all heights, to obtain the vertical fluctuation coefficient of each detection.

[0051] The horizontal fluctuation coefficient measures the changing characteristics of segregation in the horizontal direction. However, this indicator has limitations when the segregation phenomenon is very serious, that is, the fluidized solidified soil is severely stratified and each layer corresponds to a different substance or molecule. In this case, the characteristics in the horizontal direction are close to the characteristics when no segregation occurs. Therefore, it is difficult to accurately judge the segregation situation based on the characteristics in the horizontal direction alone, and it is necessary to further combine the characteristics in the vertical direction for judgment.

[0052] In the early stages of segregation, the vertical stratification of different regions is relatively inconspicuous, resulting in relatively small differences in sound propagation and attenuation between layers of fluidized soil. However, due to the potential for uneven mixing in the horizontal direction, the vertical sound propagation and attenuation in different regions fluctuate, albeit with small fluctuations. As segregation becomes more severe, the stratification of the fluidized soil also becomes more severe, leading to larger differences in sound propagation and attenuation between layers in the vertical direction. However, due to the increasing aggregation of the same substance or molecules in the horizontal direction and the influence of vertical sedimentation, the differences in vertical sound propagation and attenuation between different regions gradually decrease. In the absence of segregation, the sound propagation and attenuation between layers are essentially consistent, and the vertical sound propagation and attenuation in different regions are also relatively similar.

[0053] For an ultrasound probe, the time it transmits the ultrasound wave is defined as the initial time, and the time it receives the ultrasound signal is defined as the final time. The difference between the two times is the sound propagation time of the ultrasound probe. The difference between the ultrasound intensity at the initial time and the amplitude of the ultrasound signal received at the final time is the sound attenuation of the ultrasound probe. The sound propagation time and sound attenuation of each ultrasound probe in each area are combined to form the sound propagation sequence and sound attenuation sequence of that area, respectively, according to the depth of the ultrasound probes.

[0054] Based on the above analysis, the vertical fluctuation coefficient is calculated to measure the suspension properties of the fluidized solidified soil in the vertical direction. Specifically: the first-order difference sequences of the sound propagation sequence and the sound attenuation sequence of each area are calculated respectively, and the discrete degrees of the two first-order difference sequences are summed and recorded as the first sum; the cumulative sum of the similarities between the sound propagation sequences of all two-way combinations of areas is obtained, which is recorded as the second sum; the cumulative sum of the similarities between the sound attenuation sequences of all two-way combinations of areas is obtained, which is recorded as the third sum; the cumulative sum of the first sums of all areas is recorded as the fourth sum; the cumulative sum of the second sum and the third sum is recorded as the fifth sum; based on the fourth sum and the fifth sum, the vertical fluctuation coefficient is confirmed; wherein, the vertical fluctuation coefficient is positively correlated with the fourth sum and negatively correlated with the fifth sum.

[0055] In this embodiment, the similarity between sequences is calculated using the Pearson correlation coefficient; in other embodiments, the similarity between sequences can also be calculated using cosine similarity, Spearman correlation coefficient, or mutual correlation coefficient; the fourth sum is taken as an exponential function with a natural constant as the base, and the ratio of the exponential function to the fifth sum is taken as the vertical fluctuation coefficient.

[0056] It's understandable that before segregation occurs, the sound propagation and attenuation between layers and regions are relatively similar, resulting in a smaller vertical fluctuation coefficient. In the early stages of segregation, the vertical similarity between layers remains close, while there are certain vertical differences between regions, which increases the vertical fluctuation coefficient. In the later stages of segregation, significant stratification occurs. Simultaneously, the sedimentation caused by stratification reduces the differences between regions. However, the differences between layers have a greater impact weight, resulting in a larger vertical fluctuation coefficient.

[0057] Step 4: Perform curve fitting on the horizontal fluctuation coefficients obtained from all previous tests. According to the derivative value of the fitting curve in each test, the weights of the horizontal fluctuation coefficient and the vertical fluctuation coefficient are obtained respectively, and the weighted sum is used to obtain the suspension coefficient.

[0058] In the early stage of segregation or when the segregation is relatively mild, it is necessary to focus on the segregation in the horizontal direction to avoid the adverse effects caused by uneven mixing in the horizontal direction; in the late stage of segregation or when the situation is more serious, it is necessary to focus on the adverse effects caused by uneven mixing in the vertical direction; at the same time, as the segregation phenomenon becomes more and more serious, the deposition in the vertical direction will cause the segregation characteristics in the horizontal direction to become less and less obvious, that is, the horizontal fluctuation coefficient shows a trend of first increasing and then decreasing. Therefore, the same weight cannot be used for the characteristics in the horizontal and vertical directions, otherwise it will be difficult to accurately measure the segregation situation. Therefore, it is necessary to measure the suspension through the characteristics in the horizontal and vertical directions.

[0059] The horizontal fluctuation coefficient obtained from each previous test is used as the ordinate, and the corresponding test order is used as the abscissa to perform polynomial fitting and output a fitting curve function. Polynomial fitting is a well-known technique and will not be described in detail here.

[0060] Based on the above analysis, combined with the temporal changes of the horizontal fluctuation coefficient and the vertical fluctuation coefficient, the influence weight of the horizontal fluctuation coefficient is calculated to measure the suspension of the fluidized solidified soil. The formula is: ;in, is the influence weight of the horizontal fluctuation coefficient, 、 They are the horizontal fluctuation coefficient and vertical fluctuation coefficient obtained by the current detection, is the derivative value of the fitting curve of the horizontal fluctuation coefficient at the current detection, 、 They are maximum function and minimum function respectively.

[0061] It is understandable that in the early stage of segregation, the first thing that occurs is uneven mixing in the horizontal direction, and at this time the change in the horizontal fluctuation coefficient shows an increasing trend, so the horizontal fluctuation coefficient should be given a greater influence weight at this time; as the segregation phenomenon becomes more and more serious, the change in the horizontal fluctuation coefficient shows a trend of first increasing and then decreasing, and the characteristic changes in the vertical direction are also gradually obvious, so at this time it is necessary to reduce the influence weight of the horizontal fluctuation coefficient and increase the influence weight of the vertical fluctuation coefficient.

[0062] Furthermore, based on the influence weights of the horizontal fluctuation coefficient and the vertical fluctuation coefficient, the suspension coefficient is obtained, and its formula is: ;in, is the suspension coefficient, 、 They are the horizontal fluctuation coefficient and vertical fluctuation coefficient obtained by the current detection, is the influence weight of the current detected horizontal fluctuation coefficient, It is the influence weight of the vertical fluctuation coefficient currently detected.

[0063] Among them, the schematic diagram for obtaining the suspension coefficient is as follows Figure 2 shown.

[0064] It is understandable that when segregation does not occur, both horizontal and vertical anomalies are small, resulting in a correspondingly small levitation coefficient. When segregation occurs, in its early stages, it first leads to uneven mixing in the horizontal direction, resulting in a larger horizontal weight and horizontal fluctuation coefficient. When segregation becomes severe, vertical anomalies become more pronounced, resulting in a larger vertical weight, leading to a larger levitation coefficient.

[0065] Step 5: Based on the suspension coefficient obtained by detection, the suspension properties of the fluidized solidified soil are judged.

[0066] Calculate the mean of the suspension coefficients for all current tests. When the suspension coefficient is greater than the mean of the suspension coefficients, and the suspension coefficients obtained from subsequent preset number of tests are all greater than their corresponding mean of the suspension coefficients, it is determined that segregation has begun to occur in the fluidized solidified soil from the current point in time, i.e., an abnormal suspension has occurred. In this embodiment, to avoid excessive delays in determining the suspension anomaly due to long-term testing, the preset number of times is set to 10. It should be noted that when the preset number of times is too small or too large, it may be impossible to accurately determine whether there is a suspension anomaly due to errors. Therefore, it is recommended that the preset number of times be set in the range of [5, 20].

[0067] Based on the same concept as the method embodiment of the present application, a suspension detection device for fluidized solidified soil is provided, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps of any one of the methods are implemented.

[0068] Based on the same concept as the method embodiment of the present application, a suspension detection system for fluidized solidified soil is provided, wherein a computer program is stored in the system, and when the computer program is executed by a processor, any one of the methods is implemented.

[0069] In summary, the present application first calculates the horizontal fluctuation coefficient and the vertical fluctuation coefficient respectively according to the propagation of ultrasonic waves in the horizontal and vertical directions. These two indicators detect the segregation characteristics of fluidized solidified soil from the horizontal and vertical directions, thereby improving the accuracy and sensitivity of segregation phenomenon detection; then, by combining the temporal changes of segregation characteristics in the horizontal and vertical directions, the influence weight and suspension coefficient are calculated, which further enhances the sensitive detection capability of segregation phenomenon and helps to discover the suspension anomaly of fluidized solidified soil at an earlier stage; using this method, not only the density anomaly between different layers is considered, but also the density difference in the horizontal direction of the same layer, and combined with the temporal changes, it is possible to detect the suspension anomaly in time at the early stage of the segregation phenomenon, while ensuring the accuracy of the detection results.

[0070] It should be noted that the flowcharts and block diagrams in the accompanying drawings show the possible architectures, functions and operations of the systems, methods and computer program products according to the embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, program segment or part of the code, and the module, program segment or part of the code contains one or more executable instructions for implementing the specified logical function. In some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, or they can sometimes be executed in the opposite order, which can depend on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different boxes can also occur in an order different from that disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, or they can sometimes be executed in the opposite order, which can depend on the functions involved. Each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented by a dedicated hardware-based system that performs the specified function or action, or may be implemented by a combination of dedicated hardware and computer instructions.

[0071] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application, and should all be included in the scope of protection of the present application.

Claims

1. A method for detecting the suspension of fluidized solidified soil, characterized in that: The method comprises the following steps: First, the entire fluidized solidified soil area is divided into In each region, Ultrasonic probes are used to detect at different depths; ultrasonic probes at different heights are used to collect data in each area to obtain ultrasonic signals for each detection; and the similarity between the ultrasonic sequences of each ultrasonic probe in each area and the ultrasonic probes at the same height in the remaining areas is calculated. The similarities between the ultrasonic signals of all two-to-two regions at each height are thresholded and marked, and all marked results are subjected to a runs-length test to obtain a probability value for each height. Based on the numerical value of the probability value for each height and the distribution of all the similarities, the horizontal fluctuation coefficient obtained in each test is determined. The sound propagation time and sound attenuation of each ultrasonic probe in each region are used to form a sound propagation sequence and a sound attenuation sequence for that region, respectively, according to the depth order of the ultrasonic probes. For each detection, the vertical fluctuation coefficient of each detection is obtained by comprehensively analyzing the similarity between the ultrasonic propagation time of any two areas at all heights and combining the similarity between the changes in the ultrasonic amplitude of the two areas at all heights; Perform curve fitting on the horizontal fluctuation coefficients obtained from all previous tests. Based on the derivative value of the fitting curve in each test, the influence weights of the horizontal fluctuation coefficient and the vertical fluctuation coefficient are obtained respectively. The weighted summation is used to obtain the suspension coefficient. Based on the suspension coefficient obtained by detection, the suspension properties of the fluidized solidified soil are judged.

2. The method for detecting the suspension property of fluidized solidified soil according to claim 1, wherein: The threshold segmentation and marking of the similarity between the ultrasonic signals of all two-to-two regions at each height are specifically as follows: A segmentation threshold of the similarity between ultrasonic signals of all two-by-two regions at the same height is obtained, and a similarity greater than the segmentation threshold is marked as a first preset value, and a similarity less than the segmentation threshold is marked as a second preset value.

3. The method for detecting the suspension property of fluidized solidified soil according to claim 1, wherein: The determination of the horizontal fluctuation coefficient obtained in each detection is specifically as follows: Based on the numerical relationship between the probability value obtained for each height and the preset significance level, a randomness measure for each height is obtained; The mean of the similarity between all pairwise combinations of regions at each height is calculated, and the negative correlation mapping result of the mean is forward fused with the randomness measure; the forward fusion results obtained at all heights are accumulated to obtain the horizontal fluctuation coefficient.

4. The method for detecting the suspension property of fluidized solidified soil according to claim 3, wherein: The randomness measurement of each height is obtained as follows: When the probability value obtained for each height is less than or equal to the preset significance level, 0 is used as the randomness measure of the corresponding height; otherwise, the probability value is used as the randomness measure of the corresponding height.

5. The method for detecting the suspension property of fluidized solidified soil according to claim 1, wherein: The vertical fluctuation coefficient obtained for each detection is specifically: The sequence of ultrasonic signal propagation time at all heights in each region is recorded as the sound propagation sequence; the sequence of ultrasonic signal amplitude variation characteristics at all heights in each region is recorded as the sound attenuation sequence; Calculate the first-order difference sequence of the sound propagation sequence and the sound attenuation sequence of each area respectively, and record the sum of the discrete degrees of the two first-order difference sequences as the first sum value; Obtain the cumulative sum of the similarities between the sound propagation sequences of all two-way combinations of regions, recorded as the second sum value; Obtain the cumulative sum of the similarities between the sound attenuation sequences of all two-combination regions, which is recorded as the third sum value; Recording the cumulative sum of the first sum values ​​of all regions as a fourth sum value; The cumulative sum of the second sum value and the third sum value is recorded as a fifth sum value; Based on the fourth sum and the fifth sum, a vertical fluctuation coefficient is determined; wherein the vertical fluctuation coefficient is positively correlated with the fourth sum and negatively correlated with the fifth sum.

6. The method for detecting the suspension property of fluidized solidified soil according to claim 5, wherein: The variation characteristic of the ultrasonic signal amplitude is determined by the difference between the ultrasonic signal amplitude at the initial moment and the ultrasonic signal amplitude at the end moment.

7. The method for detecting the suspension property of fluidized solidified soil according to claim 1, wherein: According to the derivative value of the fitting curve at each detection, the influence weights of the horizontal fluctuation coefficient and the vertical fluctuation coefficient are obtained respectively. The specific formula is: ;in, is the influence weight of the horizontal fluctuation coefficient, 、 They are the horizontal fluctuation coefficient and vertical fluctuation coefficient obtained by the current detection, is the derivative value of the fitting curve of the horizontal fluctuation coefficient at the current detection, 、 They are maximum function and minimum function respectively; The difference between 1 and the influence weight of the horizontal fluctuation coefficient is used as the influence weight of the vertical fluctuation coefficient.

8. The method for detecting the suspension property of fluidized solidified soil according to claim 1, wherein: The process of judging the suspension property of the fluidized solidified soil based on the suspension property coefficient obtained by detection includes: Calculate the average of the suspension coefficients of all current tests. When the suspension coefficient is greater than the average of the suspension coefficients, and the suspension coefficients obtained by the preset number of tests thereafter are all greater than their corresponding average of the suspension coefficients, it is determined that the suspension of the fluidized solidified soil is abnormal.

9. A suspension detection device for fluidized solidified soil, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 8 are implemented.

10. A suspension detection system for fluidized solidified soil, wherein a computer program is stored in the system, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 8 is implemented.

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