Static sounding curve assisted automatic layering system and method

Abstract

The application belongs to the technical field of geotechnical engineering investigation, and particularly relates to a static sounding curve assisted automatic layering system and method. The static sounding curve assisted automatic layering system comprises a data collection module, a calculation module, and a result analysis module. The data collection module comprises a probe, a depth sensor, a resistance sensor, and a data acquisition device. The probe is pressed into the soil, the resistance of the probe in the soil layer at different depths is collected at a certain interval, and a static sounding curve is drawn with the depth as the horizontal coordinate and the resistance as the vertical coordinate. The calculation module comprises a noise reduction module, a first smoothing module, a processing module, and a second smoothing module connected in sequence. The result analysis module outputs the depth corresponding to the extreme point of the final curve of the layering position obtained by the calculation module as the layering position. The application provides a static sounding curve assisted automatic layering system and method which can improve the accuracy and efficiency of dividing the rock-soil layer position of the static sounding curve and reduce human influence.

Description

Technical Field

[0001] This invention belongs to the field of geotechnical engineering investigation technology, and in particular relates to a static cone penetration curve-assisted automatic stratification system and method. Background Technology

[0002] Existing technology:

[0003] Static cone penetration testing (PCT) is an important in-situ testing technique in geotechnical engineering investigation. This technique involves inserting a probe into the soil and collecting resistance data at different depths at regular intervals. The physical and mechanical properties of the soil at different depths are determined based on the resistance analysis. This method is characterized by low cost and high efficiency. Furthermore, by combining the relationship between the physical and mechanical properties of the soil layers and the probe resistance, the resulting curves can not only be used to delineate soil and rock layers, but also to evaluate the physical and mechanical properties of the soil and rock, as well as the bearing capacity of the foundation, based on parameters such as cone tip resistance, sidewall resistance, and friction ratio of each layer. In current engineering practice, PCT data curves are used to delineate soil and rock layers using a manual stratification method. After stratification, outliers are manually removed from the inter-layer data before statistical analysis to calculate parameters such as average values ​​and maximum average values.

[0004] However, the inventors of this application have discovered that the aforementioned prior art has at least the following technical problems:

[0005] (1) The existing manual stratification method has the disadvantages of large human influence and difficulty in controlling error: Due to the heterogeneity of soil and rock layers, the in-situ static cone penetration test curve has the characteristic of undulating along a certain center line within the layer, and the center line position changes abruptly or gradually between different soil layers. In the process of stratifying the static cone penetration curve by manual method, the curve is stratified by manually judging the undulation of the curve, which cannot accurately locate the stratification point (i.e., the soil layer interface). Moreover, the manual stratification method is greatly affected by the ability, experience, and proficiency of the technicians, which leads to certain errors and uncertainties in manually dividing the soil and rock layer interface based on the static cone penetration curve (i.e., the results of different people may differ).

[0006] (2) The manual stratification method is inefficient: When faced with a large amount of static cone penetration test data for geotechnical engineering, the manual stratification method is inefficient, and abnormal data between layers need to be manually removed after stratification. It cannot meet the needs of rapid processing of large amounts of data and lacks automatic processing and stratification methods for static cone penetration test data curves.

[0007] The difficulty and significance of the above technical issues:

[0008] Therefore, based on these issues, this paper proposes an automatic stratification system and method for static cone penetration test (SPT) curves to improve the accuracy and efficiency of soil and rock strata division and reduce human influence through in-depth analysis of the characteristics of SPT data. This has important theoretical significance, and through computer systems, it has important engineering practical value for achieving efficient and automatic stratification of SPT data and inter-stratum data analysis and processing. Summary of the Invention

[0009] The purpose of this application is to provide a static cone penetration test (SPPT)-assisted automatic stratification system and method that improves the accuracy and efficiency of SPPT stratification and reduces human influence in addressing the technical problems of existing static cone penetration test (SPPT) stratification techniques, such as significant human influence, low efficiency, and difficulty in controlling errors.

[0010] The technical solution adopted in this application embodiment to solve the technical problems existing in the prior art is as follows:

[0011] A static cone penetration curve-assisted automatic stratification system, the static cone penetration curve-assisted automatic stratification system comprising:

[0012] Data collection module: Press the probe into the soil and collect the resistance of the probe at different depths of soil at certain intervals. Plot the static cone penetration curve with depth as the x-axis and resistance as the y-axis.

[0013] Calculation module: The calculation module includes a noise reduction module, a first smoothing module, a processing module, and a second smoothing module connected in sequence.

[0014] in:

[0015] The noise reduction module compares each data point on the probe curve with the mean of the two preceding data points and the mean of the two following data points, and replaces the data value at that point with the mean that has the smallest difference from the mean.

[0016] The first smoothing module uses a weighted average method to recalculate the data of each point on the curve after the noise reduction module has processed it.

[0017] The processing module calculates the average of each data point on the curve after the first smoothing module and the average of the two data points before it, calculates the difference between the two averages, and reconstructs the curve based on the difference.

[0018] The second smoothing module calculates the average value of five consecutive data points centered on the curve data points processed by the processing module, and replaces the value of the center data point with this average value to obtain the final curve of the layering position that can directly determine the soil and rock layering position of the probe curve.

[0019] Results Analysis Module: Outputs the depth corresponding to the extreme point of the final curve of the layer position obtained by the calculation module as the layer position.

[0020] The embodiments of this application may also employ the following technical solutions:

[0021] In the aforementioned static cone penetration curve-assisted automatic stratification system, the noise reduction module further comprises: calculating x1, x2, and Δ. x 1 and Δx2, if Δx1 < Δx2, then x i The value of is replaced with x1. If Δx1 > Δx2, then x is replaced with x1. i Replace the value with x2, as shown in the formula below:

[0022] x1 = (x i-2 +x i-1 ) / 2

[0023] x2 = (x i+2 +x i+1 ) / 2

[0024] Δx1=|x1-x1|

[0025] Δx²=|x i -x2|

[0026] Where: x i x1 is the average of the two data points preceding the data point; x2 is the average of the two data points following the data point; Δx1 is the absolute value of the difference between the data point and the average of the two preceding data points; Δx2 is the absolute value of the difference between the data point and the average of the two following data points.

[0027] In the aforementioned static cone penetration curve-assisted automatic stratification system, the first smoothing module further comprises: calculating the new value x of the data point. i1 The formula is as follows:

[0028]

[0029] Where: x i1 The new value for the corresponding data point is calculated using a weighted average; x i-1 x i x i+1 The data points and their values ​​before and after the noise reduction module are processed.

[0030] In the aforementioned static cone penetration curve-assisted automatic stratification system, the processing module further performs the following steps: It processes the data after the first smoothing module's processing again, and calculates the new value x of the processed data points. 12 The formula is as follows:

[0031]

[0032] Where: x i2 For data x i and the average of the first two data points and data x i The difference between the averages of the following two data points; x i-2 x i-1 x i x i+1 x i+2 The data x after the first smoothing module i The values ​​of the two data points before and after it.

[0033] In the aforementioned static cone penetration curve-assisted automatic stratification system, the second smoothing module further comprises: calculating x 13 The calculation formula is as follows:

[0034]

[0035] Where: x 13 For data x i And the average of the five data points, including the two data points before and after it; x i-2 x i-1 x i x i+1 x i+2 Data x after processing by the processing module i And the values ​​of the two data points before and after it, for a total of five data points.

[0036] A static cone penetration curve-assisted automatic stratification method, comprising the following steps:

[0037] Step 1: Compare each data point on the probe curve with the mean of the two preceding data points and the mean of the two following data points, and replace the data value at that point with the mean that has the smallest difference from the previous data points.

[0038] Step 2: Recalculate the data for each point on the curve after Step 1 using the weighted average method;

[0039] Step 3: Calculate the average of each data point on the curve after processing in Step 2 and the average of the two data points before it. Calculate the difference between the two averages and reconstruct the curve using the difference.

[0040] Step 4: Calculate the average of 5 consecutive data points centered on the curve data point processed in Step 3, and replace the value of the center data point with this average value to obtain a curve that can directly determine the location of soil and rock stratification in the probe curve.

[0041] In the above-mentioned static cone penetration curve-assisted automatic stratification method, further, step one is: calculate x1, x2, Δx1, and Δx2; if Δx1 < Δx2, then x... i The value of is replaced with x1. If Δx1 > Δx2, then x is replaced with x1. i Replace the value with x2, as shown in the formula below:

[0042] x1=(x i-2 +x i-1 ) / 2

[0043] x2=(x i+2 +x i+1 ) / 2

[0044] Δx1=|x i -x1|Δx2=|x i -x2|where: x i x1 is the average of the two data points preceding the data point; x2 is the average of the two data points following the data point; Δx1 is the absolute value of the difference between the data point and the average of the two data points preceding it; Δx2 is the absolute value of the difference between the data point and the average of the two data points following it.

[0045] Step two involves calculating the new value x of the data point. i1 The formula is as follows:

[0046]

[0047] Where: x i1 The new value for the corresponding data point is calculated using a weighted average; x i-1， x i x i+1 The data points after processing in step one, along with their values ​​before and after them;

[0048] Step three involves processing the data from step two again and calculating the new value x for each data point. 12 The formula is as follows:

[0049]

[0050] Where: x i2 For data x i and the average of the first two data points and data x i The difference between the averages of the following two data points; x i-2 ,x i-1 ,x i ,x i+1 ,x i+2 The data x after step two processing iThe values ​​of the two data points before and after it;

[0051] Step four is: Calculate x i3 The calculation formula is as follows:

[0052]

[0053] Where: x i3 For data x i And the average of the five data points, including the two data points before and after it; x i-2 ,x i-1 ,x i ,x i+1 ,x i+2 The data x after step three processing i And the values ​​of the two data points before and after it, for a total of five data points.

[0054] An information data processing terminal, characterized in that it is used to implement the static cone penetration curve-assisted automatic stratification method described in any one of the above claims.

[0055] A computer-readable storage medium, characterized in that it includes instructions, which, when executed on a computer, cause the computer to perform the static cone penetration curve-assisted automatic stratification method as described in any of the preceding claims.

[0056] One or more technical solutions provided in the embodiments of this application have at least the following beneficial effects:

[0057] 1. This invention achieves automatic stratification of static cone penetration test (SPPT) curves through a static cone penetration test curve-assisted automatic stratification system. The calculation module processes the raw SPPT data collected by the data collection module to obtain a new curve that directly determines the stratification location—the final stratification location curve. This curve not only eliminates data fluctuations at non-stratified points but also displays the stratification location in an arc-shaped undulation, with the extreme points of the arc representing the stratification points. Therefore, the result analysis module can intuitively, accurately, and quickly determine the stratification location.

[0058] 2. The static cone penetration test curve-assisted automatic stratification method of the present invention removes abnormal data from static cone penetration test data, smooths the data, calculates the inter-layer difference, and finally smooths the data again to obtain a new curve that can directly determine the stratification position of static cone penetration test data. This provides technical support for the automatic computer processing, identification and stratification of static cone penetration test data curves, thereby enabling automated stratification of computer systems.

[0059] 3. Existing in-situ static cone penetration test curves exhibit gradual or abrupt changes at soil-rock stratification points due to the influence of the physical and mechanical properties and inclination of the upper and lower soil layers. These stratifications are significantly affected by human intervention. This invention generates a new curve through a calculation module, where the extreme values ​​of the arc represent the stratification points. Automatic stratification of the curve can be assisted by determining the location of these extreme values, and the location (depth) can be directly read from the curve graph. This invention effectively reduces the interference from experience and technical skill levels during manual stratification of static cone penetration test curves, minimizing arbitrariness and resulting in more objective results.

[0060] 4. This invention improves the efficiency of soil and rock stratification in static cone penetration testing (SPT) data and reduces the influence of human intervention during stratification. It also enhances the efficiency of SPT stratification and statistical analysis of inter-layer data. Furthermore, automated stratification and statistical analysis of inter-layer data from large volumes of engineering SPT data effectively improve the efficiency and quality of SPT data processing, demonstrating significant practical engineering value. Attached Figure Description

[0061] The technical solutions of the embodiments of this application will be further described in detail below with reference to the accompanying drawings. However, it should be understood that these drawings are designed for illustrative purposes only and are not intended to limit the scope of this application. In addition, unless otherwise specified, these drawings are only intended to conceptually illustrate the structural construction described herein and are not necessarily drawn to scale.

[0062] Figure 1 This is a flowchart of a static cone penetration test curve-assisted automatic stratification system;

[0063] Figure 2 These are the curves showing the effects of each step in the cone tip resistance treatment in Example 4;

[0064] Figure 3 This is the layered effect of the static penetration test hole JK2;

[0065] Figure 4 This is the cone tip resistance curve of the static penetration test hole JK2;

[0066] Figure 5 This is the sidewall resistance curve of the static penetration test hole JK2;

[0067] Figure 6 This is the friction ratio curve of static penetration test hole JK2. Detailed Implementation

[0068] The static cone penetration curve-assisted automatic stratification system includes:

[0069] Data collection module: Press the probe into the soil and collect the resistance of the probe at different depths of soil at certain intervals. Plot the static cone penetration curve with depth as the x-axis and resistance as the y-axis.

[0070] Calculation module: The calculation module includes a noise reduction module, a first smoothing module, a processing module, and a second smoothing module connected in sequence.

[0071] in:

[0072] The noise reduction module compares each data point on the probe curve with the mean of the two preceding data points and the mean of the two following data points, and replaces the data value at that point with the mean that has the smallest difference from the mean.

[0073] The first smoothing module uses a weighted average method to recalculate the data of each point on the curve after the noise reduction module has processed it.

[0074] The processing module calculates the average of each data point on the curve after the first smoothing module and the average of the two data points before it, calculates the difference between the two averages, and reconstructs the curve based on the difference.

[0075] The second smoothing module calculates the average value of five consecutive data points centered on the curve data point processed by the processing module, and replaces the value of the center data point with this average value to obtain the final curve of the layer position that can directly determine the soil and rock layer position of the probe curve.

[0076] Results Analysis Module: Outputs the depth corresponding to the extreme point of the final curve of the layer position obtained by the calculation module as the layer position.

[0077] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods.

[0078] Example 1

[0079] This embodiment includes:

[0080] Data collection module: Press the probe into the soil and collect the resistance of the probe at different depths of soil at certain intervals. Plot the static cone penetration curve with depth as the x-axis and resistance as the y-axis.

[0081] Calculation module: The calculation module includes a noise reduction module, a first smoothing module, a processing module, and a second smoothing module connected in sequence.

[0082] in:

[0083] The noise reduction module compares each data point on the probe curve with the mean of the two preceding data points and the mean of the two following data points, and replaces the data value at that point with the mean that has the smallest difference from the mean.

[0084] The first smoothing module uses a weighted average method to recalculate the data of each point on the curve after the noise reduction module has processed it.

[0085] The processing module calculates the average of each data point on the curve after the first smoothing module and the average of the two data points before it, calculates the difference between the two averages, and reconstructs the curve based on the difference.

[0086] The second smoothing module calculates the average value of five consecutive data points centered on the curve data point processed by the processing module, and replaces the value of the center data point with this average value to obtain the final curve of the layer position that can directly determine the soil and rock layer position of the probe curve.

[0087] Results Analysis Module: Outputs the depth corresponding to the extreme point of the final curve of the layer position obtained by the calculation module as the layer position.

[0088] Further:

[0089] The noise reduction module calculates x1, x2, Δx1, and Δx2, and if Δx1 ＜ If x > Δx2, then x i The value of is replaced with x1. If Δx1 > Δx2, then x is replaced with x1. i Replace the value with x2, as shown in the formula below:

[0090] x1=(x i-2 +x i-1 ) / 2

[0091] x2=(x i+2 +x i+1 ) / 2

[0092] Δx1=|x i -x1|

[0093] Δx²=|x i -x2|

[0094] Where: x i x1 is the average of the two data points preceding the data point; x2 is the average of the two data points following the data point; Δx1 is the absolute value of the difference between the data point and the average of the two preceding data points; Δx2 is the absolute value of the difference between the data point and the average of the two following data points.

[0095] The first smoothing module is: calculating the new value x of the data point. 11 The formula is as follows:

[0096]

[0097] Where: x i1 The new value for the corresponding data point is calculated using a weighted average; x i-1 x i x i+1 The data points and their values ​​before and after the noise reduction module are processed.

[0098] The processing module performs the following steps: it processes the data after the first smoothing module and calculates the new value x of the processed data points. i2 The formula is as follows:

[0099]

[0100] Where: x i2 For data x i and the average of the first two data points and data x i The difference between the averages of the following two data points; x i-2 x i-1 x i x i+1 x i+2 The data x after the first smoothing module i The values ​​of the two data points before and after it.

[0101] The second smoothing module is: calculating x i3 The calculation formula is as follows:

[0102]

[0103] Where: x i3 For data x i And the average of the five data points, including the two data points before and after it; x i-2 x i-1 x i x i+1 x i+2 Data x after processing by the processing module i And the values ​​of the two data points before and after it, for a total of five data points.

[0104] Example 2

[0105] This embodiment includes the following steps:

[0106] Step 1:

[0107] Due to the heterogeneity of the soil layers, static cone penetration test signals may contain some abnormal data, such as data at a certain depth that is unusually large or small, clearly inconsistent with the penetration parameters of that layer. To remove such abnormal data points, the static cone penetration test curve is first processed as follows: the data value at each depth point is compared with the average values ​​of the two points before and after it, and the average value of the two points before or after it with the smallest difference from the value at that depth is replaced with the value at that depth point, as shown in the following formula:

[0108] x1=(x i-2 +x i-1 ) / 2

[0109] x2=(x i+2 +x i+1 ) / 2

[0110] Δx1=|x i -x1|

[0111] Δx²=|x i -x2|

[0112] If Δx1 < Δx2, then x i Replace the value with x1, otherwise replace x. i The value is replaced with x2.

[0113] Where: x i x1 is the average of the two data points preceding the data point; x2 is the average of the two data points following the data point; Δx1 is the absolute value of the difference between the data point and the average of the two preceding data points; Δx2 is the absolute value of the difference between the data point and the average of the two following data points.

[0114] Step Two:

[0115] Due to the relative heterogeneity of soil layers, even within the same soil layer, the static penetration test signal will have some fluctuations. To minimize the impact of these internal soil layer fluctuations (serrated edges) on further data processing, the weighted average of each data point and the data points before and after it is used as the new value for that point, thereby eliminating the fluctuations in the data within the layer to a certain extent. The formula for smoothing the data is shown below.

[0116]

[0117] Where: x i1 The new value for the corresponding data point is calculated using a weighted average; x i-1 x i x i+1 The data points after processing in step one, along with their values ​​before and after them;

[0118] Step 3:

[0119] To obtain the interlayer fluctuation characteristics of the penetration signal, the data processed in step two needs to be processed again. The processed data curve can accurately reflect the interlayer data changes and boundary point positions of the penetration curve. The following calculation formula is used:

[0120]

[0121] Where: x i2 For data x i and the average of the first two data points and data x i The difference between the averages of the following two data points;

[0122] x i-2 x i-1 x i x i+1 x i+2 The data x after step two processing i The values ​​of the two data points before and after it.

[0123] Step Four:

[0124] After step three, the new curve is made so that its value is zero at non-stratified points, and exhibits arc-shaped undulations at stratified points. The height of these undulations is directly related to the magnitude of the data difference between strata, thus facilitating the identification of stratification point locations. The calculation formula is as follows:

[0125]

[0126] Where: x i3 For data x i And the average of the five data points, including the two data points before and after it; x i-2， x i-1 x i x i+1 x i+2 The data x after step three processing i The values ​​are 5 data points in total, including the two data points before and after it.

[0127] The technical solutions described in the embodiments of this application above have at least the following technical effects or advantages:

[0128] This embodiment improves the processing efficiency of static cone penetration test data curves and effectively avoids human interference when stratifying cone penetration test data. This embodiment provides a theoretical basis for the processing and automatic stratification of cone penetration test curves, and provides practical technical support for the efficient, automatic, and minimally human-interference-based auxiliary automatic stratification of static cone penetration test curves in engineering, as well as for the automatic auxiliary division of soil and rock layers and efficient statistical analysis of interlayer data.

[0129] Example 3

[0130] The geotechnical investigation of a proposed construction site has a depth of 20m. The foundation soil layers from top to bottom are 1-1 silty clay; 1-2 silty clay; 1-3 silty clay and 1-4 silty clay.

[0131] Step 1: Press the probe into the soil and collect the resistance of the probe at different depths of soil at certain intervals. Input the data into the data collection module. The data collection module plots the static cone penetration curve with depth as the x-axis and resistance as the y-axis.

[0132] Step 2: The static cone penetration curve obtained by the data collection module is processed by the calculation module. The calculation module includes a noise reduction module, a first smoothing module, a processing module, and a second smoothing module connected in sequence.

[0133] in:

[0134] The noise reduction module compares each data point on the probe curve with the mean of the two preceding data points and the mean of the two following data points, and replaces the data value at that point with the mean that has the smallest difference from the mean.

[0135] The first smoothing module uses a weighted average method to recalculate the data of each point on the curve after the noise reduction module has processed it.

[0136] The processing module calculates the average of each data point on the curve after the first smoothing module and the average of the two data points before it, calculates the difference between the two averages, and reconstructs the curve based on the difference.

[0137] The second smoothing module calculates the average value of five consecutive data points centered on the curve data point processed by the processing module, and replaces the value of the center data point with this average value to obtain the final curve of the layer position that can directly determine the soil and rock layer position of the probe curve.

[0138] Step 3: The depth corresponding to the extreme point of the final curve of the layer position obtained by the calculation module is used as the layer position and output through the result analysis module.

[0139] Step 4: Following steps 1 to 3, the cone tip resistance, sidewall resistance, and friction ratio curves of the JK2 static cone penetration test hole for a certain project were processed respectively (the processing results are attached to the instruction manual). Figure 4 Appendix Figure 5 and attached Figure 6 The three processed curves can effectively display the location of the stratification points, and the automatic stratification results have an accurate and good correspondence with the actual soil and rock stratification. See the attached instruction manual for the results. Figure 3 .

[0140] The technical solutions described in the embodiments of this application above have at least the following technical effects or advantages:

[0141] Based on the above data processing results, the processing effect and displayed stratification location of the cone tip, sidewall, and friction ratio curves of borehole JK2, combined with the actual soil and rock stratification results, show good and accurate consistency, achieving good application results.

[0142] Example 4

[0143] The geotechnical investigation depth of a proposed construction site is 20m. The foundation soil layers from top to bottom are 1-1 silty clay; 1-2 silty clay; 1-3 silty clay and 1-4 silty clay. The static penetration test curve of borehole JK2 is processed in the following 4 steps (taking the cone tip resistance data as an example).

[0144] 1) Compare each data point on the curve with the average of its two preceding and two following data points, and replace the data point with the average of the two preceding and following data points to eliminate outlier data points on the curve (see appendix). Figure 2 Remove outlier curves;

[0145] 2) Recalculate the data for each point on the curve using the weighted average method, and smooth the curve to eliminate undulations within the layers (see appendix). Figure 2 Formula 1-1 (smooth curve);

[0146] 3) Calculate the difference between the average of each data point and the two preceding data points on the curve, and the average of the data point and the two following data points. Reconstruct the curve using these differences to highlight the curve variation characteristics between layers (see appendix). Figure 2 Formula 1-2 (difference curve);

[0147] 4) Calculate the average of each data point on the curve and the two data points before and after it, for a total of five data points. Smooth the curve data again to obtain a new curve that can directly determine the location of soil and rock stratification during the penetration test (see appendix). Figure 2 Formula 1-3 (smooth curve).

[0148] 5) The cone tip resistance, sidewall resistance, and friction ratio curves of the JK2 static cone penetration test hole for a certain project were processed respectively (the processing results are attached to the instruction manual). Figure 4 Appendix Figure 5 and attached Figure 6 The three processed curves can effectively display the location of the stratification points, and the automatic stratification results have an accurate and good correspondence with the actual soil and rock stratification. See the attached instruction manual for the results. Figure 3 .

[0149] Example 5

[0150] An information data processing terminal is used to implement the above-mentioned static cone penetration curve-assisted automatic stratification method.

[0151] Example 6

[0152] A computer-readable storage medium includes instructions that, when executed on a computer, cause the computer to perform the above-described static cone penetration curve-assisted automatic stratification method.

[0153] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented, in whole or in part, as a computer program product, the computer program product includes one or more computer instructions. When the computer program instructions are loaded or executed on a computer, all or part of the processes or functions described in the embodiments of the present invention are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., a solid-state drive (SSD)).

[0154] In summary, this invention provides a static cone penetration test (CPPT)-assisted automatic stratification system and method that improves the accuracy and efficiency of stratification of soil and rock layers and reduces human influence.

[0155] The above embodiments have provided a detailed description of the present invention, but the content described is only a preferred embodiment of the present invention and should not be considered as limiting the scope of the present invention. All equivalent variations and improvements made within the scope of the present invention should still fall within the patent coverage of the present invention.

Claims

1. A static cone penetration curve-assisted automatic stratification system, characterized in that: The static cone penetration curve-assisted automatic stratification system includes: Data collection module: Press the probe into the soil and collect the resistance of the probe at different depths of soil at certain intervals. Plot the static cone penetration curve with depth as the x-axis and resistance as the y-axis. Calculation module: The calculation module includes a noise reduction module, a first smoothing module, a processing module, and a second smoothing module connected in sequence. in: The noise reduction module compares each data point on the probe curve with the mean of the two preceding data points and the mean of the two following data points, and replaces the data point's data value with the mean that has the smallest difference from it. The first smoothing module uses a weighted average method to recalculate the data of each point on the curve after the noise reduction module has processed it. The processing module calculates the average of each data point on the curve after the first smoothing module and the average of the two data points before it, calculates the difference between the two averages, and reconstructs the curve based on the difference. The second smoothing module calculates the average value of five consecutive data points centered on the curve data points processed by the processing module, and replaces the value of the center data point with this average value to obtain the final curve of the layering position that can directly determine the soil and rock layering position of the probe curve. Results Analysis Module: Outputs the depth corresponding to the extreme point of the final curve of the layer position obtained by the calculation module as the layer position.

2. The static cone penetration curve-assisted automatic stratification system according to claim 1, characterized in that: The noise reduction module is: calculating , , and ,if Then The value is used Replace if Then The value is used To perform the replacement, use the following formula: in: For data values; To calculate the average of the two data points preceding the data point; To calculate the average of the two data points following the given data point; This is used to calculate the absolute value of the difference between a data point and the average of its two preceding data points; This is used to calculate the absolute value of the difference between a data point and the average of the two data points that follow it.

3. The static cone penetration curve-assisted automatic stratification system according to claim 1, characterized in that: The first smoothing module is used to calculate the new values ​​of the data points. The formula is as follows: in: The new values ​​for the corresponding data points are calculated using a weighted average. , The data points and their values ​​before and after the noise reduction module are processed.

4. The static cone penetration curve-assisted automatic stratification system according to claim 1, characterized in that: The processing module performs the following steps: it processes the data after the first smoothing module and calculates the new values ​​of the processed data points. The formula is as follows: in: For data and the average of the first two data points and the data The difference between the averages of the following two data points; Data after the first smoothing module The values ​​of the two data points before and after it.

5. The static cone penetration curve-assisted automatic stratification system according to claim 1, characterized in that: The second smoothing module is: calculation The calculation formula is as follows: in: For data And the average of the two data points before and after it, for a total of five data points; Data after processing by the processing module And the values ​​of the two data points before and after it, for a total of five data points.

6. A method for automatic stratification assisted by static cone penetration curves, characterized in that: The static cone penetration curve-assisted automatic stratification method includes the following steps: Step 1: Compare each data point on the probe curve with the mean of the two preceding data points and the mean of the two following data points, and replace the data point's data value with the mean that has the smallest difference from it; Step 2: Recalculate the data for each point on the curve after Step 1 using the weighted average method; Step 3: Calculate the average of each data point on the curve after processing in Step 2 and the average of the two data points before it. Calculate the difference between the two averages and reconstruct the curve using the difference. Step 4: Calculate the average of 5 consecutive data points centered on the curve data point processed in Step 3, and replace the value of the center data point with this average value to obtain a curve that can directly determine the location of soil and rock stratification in the probe curve.

7. The static cone penetration curve-assisted automatic stratification method according to claim 6, characterized in that: Step one is: Calculation , , and ,if Then The value is used Replace if Then The value is used To perform the replacement, use the following formula: in: For data values; To calculate the average of the two data points preceding the data point; To calculate the average of the two data points following the given data point; This is used to calculate the absolute value of the difference between a data point and the average of its two preceding data points; This is used to calculate the absolute value of the difference between a data point and the average of the two data points that follow it; Step two involves calculating the new values ​​of the data points. The formula is as follows: in: The new values ​​for the corresponding data points are calculated using a weighted average. , The data points after processing in step one, along with their values ​​before and after them; Step three involves processing the data from step two again and calculating the new values ​​for the processed data points. The formula is as follows: in: For data and the average of the first two data points and the data The difference between the averages of the following two data points; The data after step two. and the values ​​of the two data points before and after it; Step four is: Calculation The calculation formula is as follows: in: For data And the average of the two data points before and after it, for a total of five data points; The data after step three. And the values ​​of the two data points before and after it, for a total of five data points.

8. An information data processing terminal, characterized in that, Used to implement the static cone penetration curve-assisted automatic stratification method as described in any one of claims 6 to 7.

9. A computer-readable storage medium, characterized in that: Includes instructions that, when run on a computer, cause the computer to perform the static cone penetration curve-assisted automatic stratification method as described in any one of claims 6 to 7.

Images