A karst cavity natural source surface wave detection device used in tunnels

Abstract

The invention belongs to the technical field of tunnel construction. The invention provides a karst cavity natural source surface wave detection device used in a tunnel, comprising: combining and analyzing the interface slope and the number deviation of the compression layer in the adjacent boreholes, performing abnormal identification analysis on the adjacent borehole group, obtaining the geological abnormality value, obtaining the compression modulus of the compression layer in each borehole through the geological survey report, and calculating the weighted ratio of the compression modulus in combination with the thickness of the compression layer in the borehole; judging whether the geological conditions in the tunnel are relatively uniform, and selecting a matching array type; processing and analyzing the parameter data of the karst cavity in the tunnel, and selecting the reinforcement type for the array after the array type is selected; if targeted reinforcement is performed, the number of karst cavities is compared and analyzed, and the range of the array reinforcement position is selected according to the analysis result. The invention improves the detection quality and efficiency of the karst cavity natural source surface wave.

Description

Technical Field

[0001] The invention belongs to the technical field of tunnel construction, in particular to a karst cavity natural source surface wave detection device used in a tunnel. Background Art

[0002] In the process of using natural source surface wave detection of karst cavities in tunnels, it is necessary to realize the detection of karst cavities through natural source surface waves. However, during the detection process, the quality of detection is often affected by the geological conditions in the tunnel and the distribution of karst cavities, resulting in poor detection results. Therefore, it is of great significance to study a natural source surface wave detection device for karst cavities used in tunnels in the field of karst cavity detection.

[0003] In the prior art, when using natural source surface wave detection of karst cavities in tunnels, it is often necessary to set up an array to deploy natural source surface wave detection equipment when detecting karst cavities. However, the deployment of the array is often affected by the geological conditions in the tunnel and the distribution of karst cavities. If the geological conditions of the tunnel and the location distribution of the karst cavities are not analyzed, and the corresponding array layout is not selected according to the analysis results, the detection quality will be poor and the accuracy will be low. For example, in a tunnel, if a matching array layout is not selected based on the uniformity of the geological conditions and the concentration of the karst cavity distribution, the selected array will not be able to accurately detect the karst cavities.

[0004] To this end, the present invention provides a karst cavity natural source surface wave detection device used in a tunnel. Summary of the invention

[0005] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0006] The technical solution adopted by the present invention to solve its technical problem is:

[0007] In a first aspect, the present invention provides a karst cavity natural source surface wave detection device used in a tunnel, comprising:

[0008] Geological data acquisition module: identify the boreholes in the geological profile in the geological survey report, use the scale on the geological profile to measure the inclination angle of the rock-soil interface of the inner layer of the compression layer in the adjacent boreholes, and obtain the interface slope. By combining and analyzing the interface slope and the number deviation of the compression layer in the adjacent boreholes, identify the abnormalities of the adjacent borehole group and obtain the abnormal borehole group. Based on the processing and analysis of the abnormal borehole group, the geological anomaly value is obtained. At the same time, the compression modulus of the compression layer in each borehole is obtained through the geological survey report, and the weighted ratio of the compression modulus is calculated in combination with the thickness of the compression layer in the borehole;

[0009] Geological analysis module: judge whether the geological conditions in the tunnel are relatively uniform based on the weighted ratio of geological anomalies and the compression modulus of the compression layer in the borehole;

[0010] Array selection module: select the matching array type based on whether the geological conditions in the tunnel are relatively uniform;

[0011] Array enhancement selection module: After the array type is selected, the parameter data of the karst cavity in the tunnel is obtained according to the geological survey report and processed and analyzed. The enhancement type of the array after the array type is selected is selected according to the processing and analysis results;

[0012] Array reinforcement site selection module: If the array is to be strengthened specifically after the array type is selected, the number of karst cavities will be compared and analyzed, and the range of array reinforcement sites will be selected based on the analysis results.

[0013] In a second aspect, the present invention provides a method for detecting natural source surface waves in a karst cavity used in a tunnel, comprising:

[0014] Step 1: Identify the boreholes in the geological profile in the geological survey report, use the scale on the geological profile to measure the inclination angle of the rock-soil interface of the inner layer of the compression layer in the adjacent boreholes, and obtain the interface slope. By combining and analyzing the interface slope and the number deviation of the compression layer in the adjacent boreholes, identify the abnormalities of the adjacent borehole group to obtain the abnormal borehole group, and obtain the geological anomaly value based on the processing and analysis of the abnormal borehole group. At the same time, obtain the compression modulus of the compression layer in each borehole through the geological survey report, and calculate the weighted ratio of the compression modulus in combination with the thickness of the compression layer in the borehole;

[0015] Step 2: judging whether the geological conditions in the tunnel are relatively uniform based on the weighted ratio of the geological anomaly value and the compression modulus of the compression layer in the borehole;

[0016] Step 3: Select the matching array type based on whether the geological conditions in the tunnel are relatively uniform;

[0017] Step 4: After the array type is selected, the parameter data of the karst cavity in the tunnel is obtained according to the geological survey report and processed and analyzed. According to the processing and analysis results, the enhanced type of the array after the array type is selected is selected;

[0018] Step 5: If the array is to be strengthened specifically after the array type is selected, a comparative analysis of the number of karst cavities is conducted, and the range of the array strengthening area is selected based on the analysis results.

[0019] The beneficial effects of the present invention are as follows: the uniformity of the geological conditions in the tunnel is analyzed according to the interface slope of the rock-soil interface of the inner layer of the compression layer in the adjacent boreholes and the compression modulus of the compression layer in each borehole, and the matching array type is selected according to the analysis result, the parameter data of the karst cavity in the tunnel is obtained according to the geological survey report and processed and analyzed, and the reinforcement type of the array after the array type is selected is selected according to the processing and analysis results. If the array after the array type is selected is targetedly strengthened, the number of karst cavities is compared and analyzed, and the range of the array reinforcement position is selected according to the analysis result. The present invention is conducive to improving the detection quality and efficiency of the natural source surface wave of the karst cavity by analyzing the array during tunnel detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The present invention will be further described below in conjunction with the accompanying drawings.

[0021] Figure 1 It is a flowchart of a karst cavity natural source surface wave detection device used in a tunnel according to an embodiment of the present invention;

[0022] Figure 2 It is a flow chart of the steps of a method for detecting natural source surface waves in a karst cavity used in a tunnel according to an embodiment of the present invention. DETAILED DESCRIPTION

[0023] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0024] Example 1

[0025] like Figure 1 As shown, a karst cavity natural source surface wave detection device used in a tunnel according to an embodiment of the present invention comprises:

[0026] Geological data acquisition module: identify the boreholes in the geological profile in the geological survey report, use the scale on the geological profile to measure the inclination angle of the rock-soil interface of the inner layer of the compression layer in the adjacent boreholes, and obtain the interface slope. By combining and analyzing the interface slope and the number deviation of the compression layer in the adjacent boreholes, identify the abnormalities of the adjacent borehole group and obtain the abnormal borehole group. Based on the processing and analysis of the abnormal borehole group, the geological anomaly value is obtained. At the same time, the compression modulus of the compression layer in each borehole is obtained through the geological survey report, and the weighted ratio of the compression modulus is calculated in combination with the thickness of the compression layer in the borehole;

[0027] It should be noted that the boreholes in the geological cross section can be identified by the borehole markings;

[0028] Specifically, adjacent boreholes in the geological profile are integrated into adjacent borehole groups;

[0029] Based on any adjacent drill hole group;

[0030] Draw a straight line connecting the interfaces of the same compression layer in adjacent boreholes, and measure the inclination angle of the straight line to obtain the interface slope corresponding to the interface of the same compression layer in adjacent boreholes;

[0031] comparing the interface slope corresponding to the same compression layer interface in adjacent boreholes with the interface slope threshold;

[0032] If the interface slope is greater than the interface slope threshold, the same compression layer corresponding to the interface slope is marked as an over-slope compression layer;

[0033] If the interface slope is less than or equal to the interface slope threshold, the same compression layer corresponding to the interface slope is marked as a normal compression layer;

[0034] The number of over-slope compression layers is obtained, and the ratio is processed with the total number of the same compression layers in adjacent boreholes to obtain the proportion of over-slope compression layers;

[0035] The number of compressed layers corresponding to each borehole in the adjacent borehole group is counted respectively, and difference processing is performed, the absolute value of the difference is taken to obtain the difference in the number of compressed layers, and the difference in the number of compressed layers is ratio-processed with the total number of the same compressed layers to obtain the difference ratio of the number of compressed layers;

[0036] The percentage of compression layers with excessive slope and the difference ratio of the number of compression layers are summed to obtain the compression layer abnormal value;

[0037] comparing the compression layer anomaly value to the compression layer anomaly threshold;

[0038] If the compression layer anomaly value is greater than the compression layer anomaly threshold, the adjacent borehole group is marked as an abnormal borehole group;

[0039] If the compression layer anomaly value is less than or equal to the compression layer anomaly threshold, the adjacent drilling group is marked as a normal drilling group;

[0040] The number of abnormal borehole groups is counted and compared with the number of adjacent borehole groups to obtain the geological anomaly value;

[0041] The compression modulus of the compression layer in each borehole is obtained through the geological survey report, and the weighted ratio of the compression modulus is calculated in combination with the thickness of the compression layer in the borehole. The specific process is as follows:

[0042] Determine the number n of compression layers in the borehole;

[0043] Determine the compression modulus Ei of each compression layer, where i is the number of the compression layer;

[0044] Determine the thickness wi of each compression layer, where i is the number of the compression layer;

[0045] It should be noted that the number, thickness, and compression modulus of the compression layers in the boreholes were obtained from the geological survey report;

[0046] The weighted value E of the compression modulus of each drilled compression layer is calculated by the formula 加权 : , where Ei is the compression modulus of the i-th compression layer, wi is the thickness of the i-th compression layer;

[0047] In the compression layers of all the boreholes, the maximum and minimum values ​​of the weighted values ​​of the compression modulus are found, and the ratio processing is performed to obtain the weighted ratio of the compression modulus;

[0048] Geological analysis module: judge whether the geological conditions in the tunnel are relatively uniform based on the weighted ratio of geological anomalies and the compression modulus of the compression layer in the borehole;

[0049] Specifically, the geological anomaly value is compared with the geological anomaly threshold, and at the same time, the weighted ratio of the compression modulus is compared with a preset range of the weighted ratio;

[0050] If the geological anomaly value is less than or equal to the geological anomaly threshold and the weighted ratio of the compression modulus is within the preset range of the weighted ratio, it means that the geological conditions in the tunnel are relatively uniform;

[0051] If the geological anomaly value is greater than the geological anomaly threshold and the weighted ratio of the compression modulus is within the preset range of the weighted ratio, it means that the geological conditions in the tunnel are relatively uneven;

[0052] If the geological anomaly value is less than or equal to the geological anomaly threshold and the weighted ratio of the compression modulus is not within the preset range of the weighted ratio, it means that the geological conditions in the tunnel are relatively uneven;

[0053] If the geological anomaly value is greater than the geological anomaly threshold and the weighted ratio of the compression modulus is not within the preset range of the weighted ratio, it means that the geological conditions in the tunnel are relatively uneven;

[0054] Array selection module: select the matching array type based on whether the geological conditions in the tunnel are relatively uniform;

[0055] Specifically, if the geological conditions in the tunnel are relatively uniform, a regular array is selected; if the geological conditions in the tunnel are not relatively uniform, an irregular array is selected;

[0056] In the embodiment of the present invention, the uniformity of the geological conditions in the tunnel is analyzed according to the interface slope of the rock-soil interface of the inner compression layer in the adjacent boreholes and the compression modulus of the compression layer in each borehole, and the matching array type is selected according to the analysis results, which is conducive to improving the accuracy of array selection, thereby improving the accuracy of natural source surface wave detection in karst cavity.

[0057] Example 2

[0058] like Figure 1 As shown, based on Example 1, a karst cavity natural source surface wave detection device used in a tunnel according to an embodiment of the present invention includes:

[0059] Array enhancement selection module: After the array type is selected, the parameter data of the karst cavity in the tunnel is obtained according to the geological survey report and processed and analyzed. The enhancement type of the array after the array type is selected is selected according to the processing and analysis results;

[0060] It should be noted that the types of reinforcement include coverage reinforcement and targeted reinforcement;

[0061] Specifically, the parameter data of the karst cavity is obtained through the geological survey report, wherein the parameter data includes the predicted location of the karst cavity;

[0062] According to the predicted position of the karst cavity, the number of karst cavities contained in each part of the tunnel at different depths is obtained;

[0063] Among them, each part range includes the top range, the bottom range, the left range and the right range. The division standards of each part range are:

[0064] Taking the center point of the tunnel at different depths as the origin, the vertical direction as the Y axis, and the horizontal direction as the X axis, the circumferential angle is ratioed with the number of part ranges (the number of part ranges is 4) to obtain the corresponding angle of the part range (90°);

[0065] The part range is divided into specific parts according to the corresponding angles of the part range, as follows:

[0066] The top range is from 45° to the left of the Y axis to 45° to the right of the Y axis above the X axis;

[0067] The bottom range is from 45° to the left of the Y axis to 45° to the right of the Y axis below the X axis;

[0068] The right side range is the range from 45° above the X axis to 45° below the X axis on the right side of the Y axis;

[0069] The left side range is the range from 45° above the X axis to 45° below the X axis on the left side of the Y axis;

[0070] Based on arbitrary depth position;

[0071] At any depth position, the number of karst cavities contained in each part of the tunnel is counted, and mathematical variance calculation is performed to obtain the number variance of the karst cavities, and compared with the preset variance value. If the number variance is greater than the preset variance value, the depth position is marked as an unevenly distributed position; if the number variance is less than or equal to the preset variance value, the depth position is marked as a uniformly distributed position;

[0072] Count the number of evenly distributed positions and perform ratio processing with the total number of depth positions to obtain the evenly distributed value;

[0073] Compare the distribution uniformity value to the distribution uniformity threshold;

[0074] If the distribution uniformity value is greater than or equal to the distribution uniformity threshold, the coverage of the array after the array type is selected is enhanced;

[0075] Among them, the meaning of coverage enhancement is that after selecting a regular array or an irregular array, since the karst cavity evenly covers the tunnel, additional coverage enhancement is required on the basis of selecting a regular array or an irregular array, so that the selected regular array or irregular array can cover the entire tunnel;

[0076] If the distribution uniformity value is less than the distribution uniformity threshold, the array after the array type is selected will be strengthened in a targeted manner;

[0077] The technical solution of the embodiment of the present invention is: according to the geological survey report, the parameter data of the karst cavity in the tunnel is obtained and processed and analyzed, and according to the processing and analysis results, the reinforcement type of the array after the array type is selected is selected, which is conducive to strengthening the array after the array type is selected, thereby further improving the accuracy of natural source surface wave detection of the karst cavity.

[0078] Example 3

[0079] like Figure 1 As shown, based on Example 1 and Example 2, a karst cavity natural source surface wave detection device used in a tunnel according to an embodiment of the present invention includes:

[0080] Array strengthening position selection module: if the array after the array type is selected is to be strengthened in a targeted manner, the number of karst cavities will be compared and analyzed, and the range of the array strengthening position will be selected according to the analysis results;

[0081] Based on targeted enhancement, the range of parts at each unevenly distributed position is sorted, specifically:

[0082] Based on a part range at any unevenly distributed position, the number of karst cavities contained in each part range is obtained, and the part ranges are sorted from high to low according to the number of karst cavities contained;

[0083] For example, assuming that the number of karst cavities included in the top range is 10, the number of karst cavities included in the bottom range is 8, the number of karst cavities included in the left range is 7, and the number of karst cavities included in the right range is 6, the top range is ranked first;

[0084] Based on any part range, count the number of times the part range ranks first in the sorting, and compare it with the total number of sorting times to get the sorting priority value, which is marked as PY;

[0085] For example, assuming that at tunnel depths of 10, 20, 30, and 40 meters, the top range contains the largest number of karst cavities and the top range ranks first, then the top range ranks first four times;

[0086] Based on any part range, when the part range ranks first, the number of karst cavities included in the part range is processed by difference with the mean number of karst cavities included in the part range that is not ranked first, and the number difference of karst cavities corresponding to the part range ranking first is obtained; the number difference of karst cavities corresponding to the part range ranking first is processed by ratio with the mean number of karst cavities included in the part range that is not ranked first, and the number difference ratio of karst cavities corresponding to the part range ranking first is obtained; the number difference ratio of karst cavities corresponding to each time the part range ranks first is summed and averaged to obtain the priority value, which is marked as YC;

[0087] For example, assuming that the number of karst cavities included in the top range is 10, the bottom range is 8, the left range is 7, and the right range is 6, and the top range ranks first, then the number of karst cavities included in the top range is subjected to difference processing with the average number of karst cavities included in the non-first-ranked part range, that is: 10-(8+7+6) / 3=3, and the number difference of karst cavities corresponding to the first-ranked part range is subjected to ratio processing with the average number of karst cavities included in the non-first-ranked part range, and the number difference ratio of karst cavities corresponding to the first-ranked part range is obtained, that is: 3÷7=3 / 7;

[0088] The obtained sorting priority value PY and priority value YC are processed by the formula: The part reinforcement value BJ is obtained, where s1 and s2 are both preset proportional coefficients, s1 is 1.26, and s2 is 1.148;

[0089] comparing the site enhancement value to a site enhancement threshold;

[0090] If the site enhancement value is greater than or equal to the site enhancement threshold, it means that the karst cavity is mainly distributed within the site range corresponding to the site enhancement value;

[0091] If the site enhancement value is less than the site enhancement threshold, it means that the karst cavity does not present a non-main distribution within the site range corresponding to the site enhancement value;

[0092] If the karst cavity is mainly distributed in the area corresponding to the area enhancement value, the area will be strengthened specifically;

[0093] Among them, targeted enhancements to the range of sites include:

[0094] Top range: If the karst cavities are mainly distributed in the top range of the tunnel, a top-reinforced array can be selected, such as an array with a raised top, to better detect the karst cavities at the top;

[0095] Bottom range: If the karst cavities are mainly distributed at the bottom of the tunnel, a bottom-strengthened array can be selected, such as a bottom-depressed array, to better detect the karst cavities at the bottom;

[0096] Left or right range: If the karst cavities are mainly distributed on the sides of the tunnel, a side-reinforced array can be selected, such as a side-convex array, to better detect the karst cavities on the side;

[0097] Karst cavity detection module: by determining the source surface wave sensors installed in the array, the source surface wave signals are obtained, and based on the data processing and analysis of the source surface wave signals, the karst cavity is detected and identified;

[0098] Specifically, based on the data processing and analysis of source surface wave signals, karst cavities are detected and identified, including:

[0099] S1, using the spatial autocorrelation method (such as SPAC method, ESPAC method) or frequency-wave number method (FK method) and other methods, extract the dispersion curve of the source surface wave from the collected source surface wave signal;

[0100] S2, the velocity structure of underground shear waves is obtained by inverting the surface wave dispersion curve;

[0101] S3, combined with geological information such as geological drilling data and geological maps in the geological survey report, comprehensively interprets the underground shear wave velocity structure obtained by inversion to identify the existence and distribution characteristics of karst cavities.

[0102] The technical solution of the embodiment of the present invention is: if the array is strengthened in a targeted manner after the array type is selected, the number of karst cavities is compared and analyzed, and the range of the array strengthening parts is selected according to the analysis results, which is conducive to improving the efficiency of determining the range of the array strengthening parts, thereby improving the detection efficiency of the natural source surface wave of the karst cavity.

[0103] Example 4

[0104] like Figure 2As shown, a method for detecting natural source surface waves in a karst cavity used in a tunnel according to an embodiment of the present invention comprises:

[0105] Step 1: Identify the boreholes in the geological profile in the geological survey report, use the scale on the geological profile to measure the inclination angle of the rock-soil interface of the inner layer of the compression layer in the adjacent boreholes, and obtain the interface slope. By combining and analyzing the interface slope and the number deviation of the compression layer in the adjacent boreholes, identify the abnormalities of the adjacent borehole group to obtain the abnormal borehole group, and obtain the geological anomaly value based on the processing and analysis of the abnormal borehole group. At the same time, obtain the compression modulus of the compression layer in each borehole through the geological survey report, and calculate the weighted ratio of the compression modulus in combination with the thickness of the compression layer in the borehole;

[0106] Step 2: judging whether the geological conditions in the tunnel are relatively uniform based on the weighted ratio of the geological anomaly value and the compression modulus of the compression layer in the borehole;

[0107] Step 3: Select the matching array type based on whether the geological conditions in the tunnel are relatively uniform;

[0108] Step 4: After the array type is selected, the parameter data of the karst cavity in the tunnel is obtained according to the geological survey report and processed and analyzed. According to the processing and analysis results, the enhanced type of the array after the array type is selected is selected;

[0109] Step 5: If the array is to be strengthened specifically after the array type is selected, a comparative analysis of the number of karst cavities is conducted, and the range of the array strengthening area is selected based on the analysis results.

[0110] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A karst cavity natural source surface wave detection device used in a tunnel, characterized by: include: Geological data acquisition module: identify the boreholes in the geological profile in the geological survey report, use the scale on the geological profile to measure the inclination angle of the rock-soil interface of the inner layer of the compression layer in the adjacent boreholes, and obtain the interface slope. By combining and analyzing the interface slope and the number deviation of the compression layer in the adjacent boreholes, identify the abnormalities of the adjacent borehole group and obtain the abnormal borehole group. Based on the processing and analysis of the abnormal borehole group, the geological anomaly value is obtained. At the same time, the compression modulus of the compression layer in each borehole is obtained through the geological survey report, and the weighted ratio of the compression modulus is calculated in combination with the thickness of the compression layer in the borehole; Geological analysis module: judge whether the geological conditions in the tunnel are relatively uniform based on the weighted ratio of geological anomalies and the compression modulus of the compression layer in the borehole; Array selection module: select the matching array type based on whether the geological conditions in the tunnel are relatively uniform; Array enhancement selection module: After the array type is selected, the parameter data of the karst cavity in the tunnel is obtained according to the geological survey report and processed and analyzed. The enhancement type of the array after the array type is selected is selected according to the processing and analysis results; Array reinforcement site selection module: If the array is to be strengthened specifically after the array type is selected, the number of karst cavities will be compared and analyzed, and the range of array reinforcement sites will be selected based on the analysis results.

2. The karst cavity natural source surface wave detection device used in a tunnel according to claim 1, characterized in that: The geological anomaly value is obtained in the following manner: Integrate adjacent boreholes in the geological section into adjacent borehole groups; Based on any adjacent drill hole group; Draw a straight line connecting the interfaces of the same compression layer in adjacent boreholes, and measure the inclination angle of the straight line to obtain the interface slope corresponding to the interface of the same compression layer in adjacent boreholes; If the interface slope is greater than the interface slope threshold, the same compression layer corresponding to the interface slope is marked as an over-slope compression layer; The over-slope compression layer is processed and analyzed to obtain the compression layer abnormal value; If the compression layer anomaly value is greater than the compression layer anomaly threshold, the adjacent borehole group is marked as an abnormal borehole group; The number of abnormal borehole groups is counted and compared with the number of adjacent borehole groups to obtain the geological anomaly value.

3. The karst cavity natural source surface wave detection device used in a tunnel according to claim 2, characterized in that: The compression layer abnormal value is obtained in the following way: The number of over-slope compression layers is obtained, and the ratio is processed with the total number of the same compression layers in adjacent boreholes to obtain the proportion of over-slope compression layers; The number of compressed layers corresponding to each borehole in the adjacent borehole group is counted respectively, and difference processing is performed, the absolute value of the difference is taken to obtain the difference in the number of compressed layers, and the difference in the number of compressed layers is ratio processed with the total number of the same compressed layers to obtain the difference ratio of the number of compressed layers; The percentage of the over-slope compression layer and the difference ratio of the number of compression layers are summed to obtain the compression layer anomaly value.

4. The karst cavity natural source surface wave detection device used in a tunnel according to claim 1, characterized in that: The weighted ratio of the compression modulus is obtained as follows: Determine the number n of compression layers in the borehole; Determine the compression modulus Ei of each compression layer, where i is the number of the compression layer; Determine the thickness wi of each compression layer, where i is the number of the compression layer; The weighted value E of the compression modulus of each drilled compression layer is calculated by the formula 加权 : , where Ei is the compression modulus of the i-th compression layer, wi is the thickness of the i-th compression layer; In the compression layers of all the boreholes, the maximum and minimum values ​​of the weighted values ​​of the compression modulus are found, and ratio processing is performed to obtain the weighted ratio of the compression modulus.

5. The karst cavity natural source surface wave detection device used in a tunnel according to claim 1, characterized in that: The process of judging whether the geological conditions in the tunnel are relatively uniform is as follows: If the geological anomaly value is less than or equal to the geological anomaly threshold and the weighted ratio of the compression modulus is within the preset range of the weighted ratio, it means that the geological conditions in the tunnel are relatively uniform; If the geological anomaly value is greater than the geological anomaly threshold and the weighted ratio of the compression modulus is within the preset range of the weighted ratio, it means that the geological conditions in the tunnel are relatively uneven; If the geological anomaly value is less than or equal to the geological anomaly threshold and the weighted ratio of the compression modulus is not within the preset range of the weighted ratio, it means that the geological conditions in the tunnel are relatively uneven; If the geological anomaly value is greater than the geological anomaly threshold and the weighted ratio of the compression modulus is not within the preset range of the weighted ratio, it means that the geological conditions in the tunnel are relatively uneven.

6. The karst cavity natural source surface wave detection device used in a tunnel according to claim 1, characterized in that: The process of selecting the matching array type is as follows: If the geological conditions in the tunnel are relatively uniform, a regular array is selected; if the geological conditions in the tunnel are not relatively uniform, an irregular array is selected.

7. The karst cavity natural source surface wave detection device used in a tunnel according to claim 1, characterized in that: The process of selecting the enhanced type of the array after selecting the array type according to the processing and analysis results is as follows: Obtain parameter data of the karst cavity through the geological survey report, wherein the parameter data includes the predicted location of the karst cavity; According to the predicted position of the karst cavity, the number of karst cavities contained in each part of the tunnel at different depths is obtained; Among them, each part range includes a top range, a bottom range, a left range, and a right range; Based on arbitrary depth position; At any depth position, the number of karst cavities contained in each part of the tunnel is counted, and mathematical variance calculation is performed to obtain the number variance of the karst cavities, and compared with the preset variance value. If the number variance is less than or equal to the preset variance value, the depth position is marked as a uniformly distributed position; Count the number of evenly distributed positions and perform ratio processing with the total number of depth positions to obtain the evenly distributed value; If the distribution uniformity value is greater than or equal to the distribution uniformity threshold, the coverage of the array after the array type is selected is enhanced; If the distribution uniformity value is less than the distribution uniformity threshold, the array after the array type is selected will be strengthened in a targeted manner.

8. The karst cavity natural source surface wave detection device used in a tunnel according to claim 7, characterized in that: The process of obtaining the range of each part is as follows: Taking the center point of the tunnel at different depths as the origin, the vertical direction as the Y axis, and the horizontal direction as the X axis, the circumferential angle and the number of parts are processed by ratio to obtain the corresponding angle of the part range of 90°; The part range is divided into specific parts according to the corresponding angles of the part range, as follows: The top range is from 45° to the left of the Y axis to 45° to the right of the Y axis above the X axis; The bottom range is from 45° to the left of the Y axis to 45° to the right of the Y axis below the X axis; The right side range is the range from 45° above the X axis to 45° below the X axis on the right side of the Y axis; The left side range is from 45° above the X axis to 45° below the X axis on the left side of the Y axis.

9. The karst cavity natural source surface wave detection device used in a tunnel according to claim 1, characterized in that: The process of selecting the range of the array reinforcement position is as follows: Based on a part range at any unevenly distributed position, the number of karst cavities contained in each part range is obtained, and the part ranges are sorted from high to low according to the number of karst cavities contained; Based on any part range, count the number of times the part range ranks first in the sorting, and compare it with the total number of sorting times to get the sorting priority value, which is marked as PY; Based on any part range, when the part range ranks first, the number of karst cavities included in the part range is processed by difference with the mean number of karst cavities included in the part range that is not ranked first, and the number difference of karst cavities corresponding to the part range ranking first is obtained; the number difference of karst cavities corresponding to the part range ranking first is processed by ratio with the mean number of karst cavities included in the part range that is not ranked first, and the number difference ratio of karst cavities corresponding to the part range ranking first is obtained; the number difference ratio of karst cavities corresponding to each time the part range ranks first is summed and averaged to obtain the priority value, which is marked as YC; The obtained sorting priority value PY and priority value YC are processed by the formula: The part reinforcement value BJ is obtained, where s1 and s2 are both preset proportional coefficients, s1 is 1.26, and s2 is 1.148; comparing the site enhancement value to a site enhancement threshold; If the site enhancement value is greater than or equal to the site enhancement threshold, it means that the karst cavity is mainly distributed within the site range corresponding to the site enhancement value; If the karst cavity is mainly distributed in the area range corresponding to the area enhancement value, targeted enhancement will be carried out on the area range.

10. The karst cavity natural source surface wave detection device used in a tunnel according to claim 9, characterized in that: The targeted enhancement of the site range includes: Top range: If the karst cavities are mainly distributed in the top range of the tunnel, a top-reinforced array can be selected, including an array with a raised top; Bottom range: If the karst cavities are mainly distributed at the bottom of the tunnel, a bottom-reinforced array can be selected, including an array with a depressed bottom; Left or right range: If the karst cavities are mainly distributed on the sides of the tunnel, a side-reinforced array can be selected, including an array with convex sides.

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