A method and system for measuring rock and soil depth in geological exploration
By collecting the depth values and angular deviation values of geologic exploration in rock and soil geological exploration, building a set of fluctuations and analyzing the possibility of jitter and interference, the stability and accuracy of the existing geologic exploration depth measurement devices under variable geological conditions is solved, and higher measurement accuracy is achieved.
Patent Information
- Application Number
- CN202510031395.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-09
- Publication Date
- 2025-05-06
- Estimated Expiration
- 2045-01-09
AI Technical Summary
The existing rock-land geological exploration depth measurement device has a simple structure and a single function, which cannot adapt to variable geological conditions, and is easily dumped when used on soft or uneven ground, resulting in inaccurate measurement results.
By collecting the depth values and angular deviation values of each moment of geologic exploration, the depth fluctuation point set and angular fluctuation point set are constructed based on local fluctuation characteristics, and the jitter possibility of the depth fluctuation point set and the interference degree of the angular fluctuation point set are analyzed, so as to obtain more accurate depth measurement results for geologic exploration.
It improves the accuracy of the depth measurement results of rock and soil geological exploration, reduces the depth value interference caused by the dumping of the measurement device, and the impact of insufficient verticality of the drilling holes.
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Figure CN119469041B_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of geological exploration depth measurement, and in particular to a method and system for measuring rock and soil depth in geological exploration. Background Art
[0002] Depth measurement of rock and soil geological exploration is an important part of geotechnical engineering exploration. By measuring the depth of geological exploration, we can understand the natural conditions such as topography, landform, meteorology and hydrology of the construction site, which is helpful to study adverse geological phenomena such as collapse, landslide, karst, shore scour in the site, and analyze the degree of harm to the stability of the construction site.
[0003] The existing rock and soil geological exploration depth measuring device has a simple structure and a single function, which makes the measuring device unable to adapt to changing geological conditions. If the measuring device is used on soft or uneven ground, the self-weight of the measuring device will make it difficult for the measuring device to remain stable during measurement and it is easy to tip over. In addition, the existing measuring device can only perform fixed-point drilling measurement and cannot adjust the angle during the drilling process, resulting in the hole formed by the drilling not being vertical enough, which in turn leads to inaccurate measurement results of the rock and soil geological exploration depth. Summary of the invention
[0004] In order to solve the above technical problems, the purpose of this application is to provide a method and system for measuring rock and soil depth in geological exploration. The technical solutions adopted are as follows:
[0005] In a first aspect, an embodiment of the present application provides a method for measuring rock and soil depth in geological exploration, the method comprising the following steps:
[0006] Collect the depth value and angle deviation value at each moment of rock and soil geological exploration;
[0007] Constructing a set of fluctuation points at each depth and a set of fluctuation points at each angle based on the local fluctuation characteristics of each depth value and each angle deviation value;
[0008] Based on the overlap of the time period of the depth fluctuation point set and the time period of the angle fluctuation point set, and the difference in local data fluctuation of each depth value, the jitter possibility of each depth fluctuation point set is constructed;
[0009] Constructing the jitter interference degree of each depth value based on the jitter possibility of each depth fluctuation point set and the local data fluctuation characteristics of each depth value;
[0010] The measurement results of rock and soil geological exploration depth are obtained based on the jitter interference degree of each depth value and the collected angle deviation value.
[0011] In one embodiment, the process of obtaining each depth fluctuation point set and each angle fluctuation point set is as follows:
[0012] The sequence composed of all depth values is recorded as a depth value sequence, and the sequence composed of all angle deviation values is recorded as an angle deviation value sequence;
[0013] Based on the moving standard deviation of each data point in the depth value sequence, a set of depth fluctuation points is obtained;
[0014] Based on the moving standard deviation of each data point in the angle deviation value sequence, the angle fluctuation point sets are obtained in the same way as the depth fluctuation point set.
[0015] In one embodiment, the process of obtaining each depth fluctuation point set is as follows:
[0016] The moving standard deviation of all data points in the depth value sequence is threshold segmented to obtain the first segmentation threshold, and the data points whose moving standard deviation is greater than the first segmentation threshold are recorded as suspected points; all suspected points are clustered to obtain clusters; and the clusters whose number of elements is greater than the preset number threshold are recorded as depth fluctuation point sets.
[0017] In one embodiment, the process of obtaining the jitter possibility of each depth fluctuation point set is:
[0018] The set of moments corresponding to all data points in each depth fluctuation point set is recorded as a depth time distribution set, and the set of moments corresponding to all data points in each angle fluctuation point set is recorded as an angle time distribution set;
[0019] Obtain the intersection and union between any depth time distribution set and any angle time distribution set, and record the ratio of the number of elements of the intersection and the number of elements of the union as the time overlap; obtain the maximum value of the time overlap between any depth time distribution set and all angle time distribution sets, and record it as the first maximum value;
[0020] The fluctuation difference value of each depth fluctuation point set is calculated based on the difference between the moving standard deviations of all data points in the depth value sequence; and the product of the first maximum value and the fluctuation difference value is used as the jitter possibility of each depth fluctuation point set.
[0021] In one embodiment, the process of obtaining the fluctuation difference value is as follows:
[0022] Calculate the mean of the moving standard deviation of all data points in each depth fluctuation point set, and record it as the first mean; calculate the mean of the moving standard deviation of all data points in the depth value sequence whose moving standard deviation is less than or equal to the first segmentation threshold, and record it as the second mean; record the difference between the first mean and the second mean as the first difference; the fluctuation difference value of each depth fluctuation point set is positively correlated with the first difference.
[0023] In one embodiment, the process of obtaining the jitter interference degree of each depth value is as follows:
[0024] Calculate the degree of jitter interference of each depth value in each depth fluctuation point set according to the jitter possibility and the moving standard deviation of each data point in each depth fluctuation point set;
[0025] The jitter interference degree of the remaining depth values excluding the depth values in the depth fluctuation point set is assigned to a preset natural constant.
[0026] In one embodiment, the process of obtaining the jitter interference degree of each depth value in each depth fluctuation point set is as follows:
[0027] The difference between the moving standard deviation of each depth value in each depth fluctuation point set and the second mean is calculated and recorded as the second difference; the jitter interference degree of each depth value in each depth fluctuation point set is positively correlated with the jitter possibility of each depth fluctuation point set and the second difference.
[0028] In one embodiment, the process of obtaining the measurement result of the rock and soil geological exploration depth is:
[0029] The importance weight of each depth value is determined based on the degree of jitter interference; the mean value of all data points in the angle deviation value sequence is recorded as the first angle; the product of each depth value and the corresponding importance weight is calculated and recorded as the first product; the product between the cumulative sum of the first products of all depth values and the cosine value of the first angle is used as the measurement result of the geotechnical exploration depth.
[0030] In one embodiment, the importance weight is: an inversely proportional mapping value of the degree of jitter interference of each depth value.
[0031] In a second aspect, an embodiment of the present application also provides a system for measuring rock and soil depth in geological exploration, 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 above-mentioned methods when executing the computer program.
[0032] The embodiments of the present application have at least the following beneficial effects:
[0033] The present application collects depth values and angle deviation values at each moment of rock and soil geological exploration, constructs each depth fluctuation point set and each angle fluctuation point set based on their local fluctuation characteristics, constructs the jitter interference degree of each depth value based on the overlap of the time period of the depth fluctuation point set and the time period of the angle fluctuation point set, and the local data fluctuation difference of each depth value, analyzes the influence of the cable in the measuring device on the depth value and angle deviation value collected at the bottom of the cable when the cable in the measuring device shakes due to the tipping of the measuring device, and has the beneficial effect of more accurately evaluating the interference degree of the collected depth value caused by the cable in the measuring device shaking due to the tipping of the measuring device;
[0034] The present application obtains the measurement result of the rock and soil geological exploration depth at the drilling position of the exploration site based on the degree of jitter interference and the angle deviation value collected at the bottom of the cable. The beneficial effect of the present application is that it reduces the influence of the jitter of the cable in the measuring device due to the tipping of the measuring device on the measurement result of the rock and soil geological exploration depth, and reduces the influence of the insufficient verticality of the hole formed by the drilling on the measurement result of the rock and soil geological exploration depth, thereby improving the accuracy of the measurement result of the rock and soil geological exploration depth. BRIEF DESCRIPTION OF THE DRAWINGS
[0035] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0036] Figure 1 A flowchart of a method for measuring rock and soil depth in geological exploration provided by an embodiment of the present application;
[0037] Figure 2 A schematic diagram of the specific steps of a method for measuring rock and soil depth in geological exploration;
[0038] Figure 3 It is a schematic diagram of the process of obtaining the fluctuation point sets at each depth and the fluctuation point sets at each angle;
[0039] Figure 4 Schematic diagram of the process of obtaining the jitter possibility of each depth fluctuation point set. DETAILED DESCRIPTION
[0040] In order to further explain the technical means and effects adopted by the present application to achieve the predetermined invention purpose, the following is a detailed description of a method and system for measuring the depth of rock and soil in geological exploration proposed in the present application, its specific implementation method, structure, features and effects, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.
[0041] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
[0042] The following is a detailed description of a method and system for measuring rock and soil depth in geological exploration provided by the present application in conjunction with the accompanying drawings.
[0043] See also Figure 1 , which shows a flow chart of a method for measuring rock and soil depth in geological exploration provided by an embodiment of the present application, the method comprising the following steps:
[0044] Step S1, collecting the depth value and angle deviation value of rock and soil geological exploration at each moment, and performing preprocessing.
[0045] A geological drill is used to drill a hole at an exploration site. A distance measuring sensor is usually fixed at the bottom of a rope in a measuring device to measure the geological exploration depth of the rock and soil at the exploration site. In the present application, an inclination sensor is fixed at the bottom of a rope in the measuring device, and the cable with the inclination sensor fixed is lowered to the bottom of the hole formed by the drilling, and the rope is kept in a naturally straight state. The measuring device includes a rotating wheel, a cable, an electric winch, a variable frequency motor, an electric slider and other components.
[0046] A distance measuring sensor is used to collect the depth value of the bottom end of the cable lowered to the bottom of the hole, where the depth value is the distance value between the bottom end of the cable and the top of the hole, that is, the geological exploration depth of the exploration site at the drilling position. At the same time, an inclination sensor is used to collect the angle deviation value of the bottom end of the cable, where the angle deviation value is the angle value between the cable at the bottom end of the cable and the vertical direction. The sampling time and sampling frequency of the distance measuring sensor and the inclination sensor are set to 5 seconds and 20 Hz, respectively. It should be noted that the sampling time and sampling frequency can be set by the implementer, and this embodiment does not impose specific restrictions.
[0047] Step S2, constructing a set of depth fluctuation points and a set of angle fluctuation points according to the local fluctuation characteristics of the depth values and the angle deviation values.
[0048] During data collection, if the measuring device falls over, the cable in the measuring device will shake, resulting in large data fluctuations in the depth value collected at the bottom of the cable during the cable shaking, thereby affecting the measurement results of the rock and soil geological exploration depth at the drilling position of the exploration site. Therefore, when using the depth value collected at the bottom of the cable to calculate the rock and soil geological exploration depth at the drilling position of the exploration site, it is necessary to reduce the weight of the depth value collected at the bottom of the cable that is more affected by the cable shaking.
[0049] Specifically, if the cable in the measuring device does not shake due to the tipping of the measuring device, the data fluctuations in the depth values collected at the bottom of the cable are usually small, and the degree of data fluctuations between the depth values with data fluctuations are relatively close. If the cable shakes, the depth values collected at the bottom of the cable during the cable shaking period will show large data fluctuations, and the depth values and angle deviation values collected at the bottom of the cable during the same cable shaking period will also show large data fluctuations at the same time.
[0050] (1) Based on the above analysis, taking the depth value collected at the bottom of the cable as an example, all the depth values collected at the bottom of the cable are arranged in ascending order according to the sampling time of the depth value, and the obtained sequence is recorded as the depth value sequence A at the bottom of the cable, which is used to characterize the distribution of all the depth values collected at the bottom of the cable over time. Similarly, all the angle deviation values collected are arranged in ascending order according to the sampling time, and the obtained sequence is recorded as the angle deviation value sequence B at the bottom of the cable.
[0051] It should be understood that arranging all collected depth values in ascending order according to the sampling time of the depth values to obtain the depth value sequence A is only one implementation method of the present application. As for other implementation methods, the implementer does not need to sort them completely in chronological order. The implementer may decide based on the actual application situation. This application does not impose any special restrictions.
[0052] (2) Taking the depth value sequence A as an example, the moving standard deviation of all data points in the depth value sequence A is used as the input of the maximum inter-class variance algorithm, and the first segmentation threshold U1 is output. The data points in the depth value sequence A whose moving standard deviation is greater than the first segmentation threshold U1 may be data points corresponding to the depth values collected at the bottom of the cable during a certain cable shaking time period. The maximum inter-class variance algorithm is a well-known technology, and the specific process will not be repeated here.
[0053] The moving standard deviation method is used to calculate the moving standard deviation of each data point in the depth value sequence A, which is used to characterize the degree of data fluctuation of the depth value corresponding to each data point in the depth value sequence A. The larger the moving standard deviation, the greater the degree of data fluctuation. The window size in the moving standard deviation method takes an empirical value of 5. The moving standard deviation method is a well-known technology, and the specific process is not repeated here. Similarly, the moving standard deviation of each data point in the angle deviation value sequence B is used as the input of the maximum inter-class variance algorithm to output the second segmentation threshold U2.
[0054] It should be noted that this application only provides one classification method for the classification of the moving standard deviation of all data points. There are many existing classification methods, and implementers can also use algorithms such as Kmeans clustering algorithm for classification. This application does not make specific restrictions.
[0055] (3) Taking the depth value sequence A as an example, all data points in the depth value sequence A whose moving standard deviation is greater than the first segmentation threshold U1 are recorded as suspected points, and all suspected points in the depth value sequence A are clustered using the DBSCAN clustering algorithm, wherein the distance between the suspected points in the depth value sequence A in the DBSCAN clustering algorithm is the difference between the serial numbers of the suspected points in the depth value sequence A; the neighborhood radius in the DBSCAN clustering algorithm is set to 1, so as to cluster the suspected points with adjacent serial numbers in the depth value sequence A into one category; the MinPts in the DBSCAN clustering algorithm is taken as 1, and it should be noted that the value of MinPts can be set by the implementer, and this embodiment does not make specific restrictions; the output is a plurality of suspected point sets of the depth value sequence A, each of which represents a set of data points whose depth values collected at the bottom of the cable in a continuous time period have a large data fluctuation. The DBSCAN clustering algorithm is a well-known technology, and the specific process is not repeated. It should be noted that for the clustering of suspected points, this application only provides one clustering method. There are many existing clustering methods, and implementers can also use other clustering algorithms to cluster suspected points. This application does not make specific restrictions.
[0056] Similarly, all data points in the angle deviation value sequence B whose moving standard deviation is greater than the second segmentation threshold U2 are recorded as suspected points, and a clustering algorithm is used to cluster all suspected points in the angle deviation value sequence B to obtain each suspected point set of the angle deviation value sequence B.
[0057] (4) Setting the quantity threshold k. It should be noted that the quantity threshold k can be set by the implementer. In this embodiment, the quantity threshold k is set to 2. The suspected point set whose number of elements in the suspected point set of the depth value sequence A is screened out to remove the discrete data points in the data points whose moving standard deviation in the depth value sequence A is greater than the first segmentation threshold U1, thereby excluding the data points corresponding to the noise data in the depth value collected at the bottom of the cable in the depth value sequence A, and each of the screened suspected point sets is recorded as a depth fluctuation point set. Similarly, the suspected point set whose number of elements in the suspected point set of the angle deviation value sequence B is screened out to remove the suspected point set whose number of elements is greater than the quantity threshold k, and each of the screened suspected point sets is recorded as an angle fluctuation point set.
[0058] Step S3, constructing the jitter possibility of each depth fluctuation point set according to the overlap between the time period of the depth fluctuation point set and the time period of the angle fluctuation point set, and the local data fluctuation difference of each depth value.
[0059] (1) For each depth fluctuation point set, the set of data sampling moments corresponding to all data points in the depth fluctuation point set is recorded as the depth time distribution set, which is used to characterize the distribution of sampling times corresponding to data points in the depth fluctuation point set. Similarly, for each angle fluctuation point set, the set of data sampling moments corresponding to all data points in the angle fluctuation point set is recorded as the angle time distribution set.
[0060] (2) Taking any depth-time distribution set of the depth value sequence A and any angle-time distribution set of the angle deviation value sequence B as examples, obtain the intersection and union of the sets between the depth-time distribution set and the angle-time distribution set, and record the ratio between the number of elements in the intersection and the number of elements in the union as the time overlap. The greater the proportion of data points with the same sampling time between the depth-time distribution set and the angle-time distribution set, the greater the time overlap.
[0061] The time overlap between any depth time distribution set and each angle time distribution set is calculated respectively, and the maximum value among all time overlaps of any depth time distribution set is recorded as the first maximum value, which represents the possibility of large data fluctuations in the depth value and angle deviation value collected at the bottom of the cable during the time period of any depth time distribution set. The larger the first maximum value is, the greater the possibility is.
[0062] (3) Based on the difference in the moving standard deviation between the suspected point and the remaining data points of the depth value sequence A, the fluctuation difference value of each depth fluctuation point set is calculated:
[0063] Calculate the mean of the moving standard deviation of all data points in each depth fluctuation point set, and record it as the first mean;
[0064] Calculate the mean of the moving standard deviations of all data points in the depth value sequence A whose moving standard deviations are less than or equal to the first segmentation threshold U1, and record it as the second mean;
[0065] The difference between the first mean and the second mean is recorded as the first difference; the fluctuation difference value of each depth fluctuation point set is positively correlated with the first difference.
[0066] It can be understood that the positive correlation in this application refers to the relationship between the independent variable and the dependent variable. The positive correlation means that the independent variable increases as the dependent variable increases, and decreases as the dependent variable decreases. It is determined according to the actual situation during the application process, and this application does not impose any special restrictions.
[0067] Preferably, as an embodiment of the present application, the expression of the fluctuation difference value of each depth fluctuation point set can be: , where is the fluctuation difference value of the i-th deep fluctuation point set, represents the first mean of the i-th depth fluctuation point set; a represents the second mean of the depth value sequence A; exp() is an exponential function. The value of is negative and affects subsequent calculations;
[0068] In other embodiments of the present application, the fluctuation difference value of each depth fluctuation point set may be the absolute value of the first difference.
[0069] The greater the data fluctuation degree of the data points in each depth fluctuation point set compared to the data points with smaller data fluctuations in the depth value sequence A, the greater the difference between the data fluctuation of the depth value with smaller data fluctuations in the depth values collected at the bottom of the cable and the data fluctuation of the depth value corresponding to the data points in each depth fluctuation point set, and the greater the fluctuation difference value.
[0070] (4) Furthermore, the possibility of the cable at the bottom end of the cable vibrating during the time period of each depth fluctuation point set is obtained based on the fluctuation difference value of each depth fluctuation point set and the first maximum value of each depth time distribution set. The expression is: , where is the jitter probability of the i-th depth fluctuation point set, is the fluctuation difference value of the i-th deep fluctuation point set, is the first maximum value of the depth-time distribution set of the i-th depth fluctuation point set.
[0071] During data collection, the greater the degree of data fluctuation of the data points in each depth fluctuation point set compared to the data points with smaller data fluctuations in the depth value sequence A, that is, the larger the fluctuation difference value, the greater the possibility that the depth values and angle deviation values collected at the bottom of the cable will simultaneously have large data fluctuations within the time period of each depth fluctuation point set, that is, the larger the first maximum value, the greater the possibility that the cable at the bottom of the cable will shake within the time period of each depth fluctuation point set.
[0072] Step S4, constructing the jitter interference degree of each depth value based on the jitter possibility of each depth fluctuation point set and the local data fluctuation characteristics of each depth value.
[0073] Further, according to the jitter possibility and the moving standard deviation of each data point in each depth fluctuation point set, the degree of jitter interference of the depth value corresponding to each data point in each depth fluctuation point set when the cable at the bottom end of the cable may jitter is calculated:
[0074] The difference between the moving standard deviation and the second mean of each data point in each depth fluctuation point set is calculated and recorded as the second difference; the jitter interference degree of each data point in each depth fluctuation point set is positively correlated with the jitter possibility of each depth fluctuation point set and the second difference.
[0075] In one embodiment of the present application, the calculation expression of the jitter interference degree of each data point in each depth fluctuation point set can be: , where is the jitter interference degree of the sth data point in the i-th depth fluctuation point set, is the jitter probability of the i-th depth fluctuation point set, is an exponential function with natural number e as base, is the moving standard deviation of the sth data point in the i-th depth fluctuation point set, and a is the second mean of the depth value sequence A;
[0076] In other embodiments of the present application, the jitter interference degree of each data point in each depth fluctuation point set may be the sum of the absolute value of the second difference and the jitter possibility of each depth fluctuation point set.
[0077] The greater the possibility of the cable at the bottom end of the cable shaking during the time period of the depth fluctuation point set, and the greater the data fluctuation degree of the depth value collected at the bottom end of the cable at the data sampling moment corresponding to each data point compared to the depth value with smaller data fluctuation, the greater the degree of jitter interference to the depth value corresponding to each data point when the cable at the bottom end of the cable is likely to shake.
[0078] Thus, the degree of jitter interference of the depth value corresponding to each data point in each depth fluctuation point set when the cable at the bottom end of the cable may jitter is obtained.
[0079] The depth values corresponding to the remaining data points in the depth value sequence A except the data points in the depth fluctuation point set are assigned a value of 0 for the degree of jitter interference when the cable at the bottom end of the cable may jitter.
[0080] Step S5, obtaining the measurement result of the rock and soil geological exploration depth according to the jitter interference degree of each depth value and the collected angle deviation value.
[0081] An inversely proportional mapping value of the jitter interference degree of each data point in the depth value sequence A is used as the importance weight of each data point in the depth value sequence A.
[0082] It should be noted that the inverse proportional mapping described in this application means that the independent variable decreases as the dependent variable increases, and the independent variable increases as the dependent variable decreases. The specific inverse proportional mapping value implementer can determine it according to actual conditions, and this application does not impose any special restrictions.
[0083] Preferably, as an embodiment of the present application, the importance weight of each data point in the depth value sequence A may be: , where is the importance weight of the rth data point in the depth value sequence A, is the normalization function, is the jitter interference degree of the rth data point in the depth value sequence A, It is an adjustment factor, which is a positive number preset manually. Its function is to avoid the problem that the denominator is 0 and cannot be calculated. It should be noted that The implementer can set the value of is set to 1.
[0084] During data collection, the greater the degree of vibration interference the depth value corresponding to the data point is subject to when the cable at the bottom end of the cable may shake, the smaller the importance weight of the depth value corresponding to the data point should be when calculating the rock and soil geological exploration depth at the drilling position of the exploration site.
[0085] The mean value of the data points in the angle deviation value sequence B is taken as the angle at which the cable at the bottom end of the cable deviates from the vertical direction, and is recorded as the first angle;
[0086] Calculate the product between the importance weight of each data point in the depth value sequence A and the corresponding depth value, recorded as the first product;
[0087] The product of the cumulative sum of the first products of all data points in the depth value sequence A and the cosine value of the first angle is taken as the measurement result of the geotechnical exploration depth of the exploration site at the drilling position.
[0088] The purpose of multiplying the cosine value of the first angle is to reduce the influence of the insufficient verticality of the hole formed by the drilling on the measurement result of the geological exploration depth of the exploration site at the drilling position.
[0089] The specific steps of the above method are shown in the schematic diagram Figure 2 As shown in the figure, the schematic diagram of the acquisition process of each depth fluctuation point set and each angle fluctuation point set is as follows Figure 3 As shown in the figure, the schematic diagram of the process of obtaining the jitter possibility of each depth fluctuation point set is as follows Figure 4 shown.
[0090] Based on the same inventive concept as the above method, an embodiment of the present application also provides a system for measuring the depth of rock and soil in geological exploration, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein when the processor executes the computer program, the steps of any one of the above-mentioned methods for measuring the depth of rock and soil in geological exploration are implemented.
[0091] In summary, the embodiment of the present application provides a method for measuring the rock depth of geological exploration, by collecting the depth value and angle deviation value at each moment of rock geological exploration, constructing each depth fluctuation point set and each angle fluctuation point set based on their local fluctuation characteristics, constructing the jitter interference degree of each depth value based on the overlap of the time period of the depth fluctuation point set and the time period of the angle fluctuation point set, and the local data fluctuation difference of each depth value, and analyzing the influence of the cable in the measuring device on the depth value and angle deviation value collected at the bottom of the cable when the cable in the measuring device shakes due to the tipping of the measuring device, which has the beneficial effect of more accurately evaluating the interference degree of the collected depth value caused by the cable in the measuring device shaking due to the tipping of the measuring device;
[0092] The present application obtains the measurement result of the rock and soil geological exploration depth at the drilling position of the exploration site based on the degree of jitter interference and the angle deviation value collected at the bottom of the cable. The beneficial effect of the present application is that it reduces the influence of the jitter of the cable in the measuring device due to the tipping of the measuring device on the measurement result of the rock and soil geological exploration depth, and reduces the influence of the insufficient verticality of the hole formed by the drilling on the measurement result of the rock and soil geological exploration depth, thereby improving the accuracy of the measurement result of the rock and soil geological exploration depth.
[0093] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. The above-mentioned specific embodiments of the present application are described. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
[0094] The various embodiments in the present application are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.
[0095] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present application should be included in the protection scope of the present application.
Claims
1. A method for measuring rock and soil depth in geological exploration, characterized in that: The method comprises the following steps: Collect the depth value and angle deviation value at each moment of rock and soil geological exploration; The sequence composed of all depth values is recorded as a depth value sequence, and the sequence composed of all angle deviation values is recorded as an angle deviation value sequence; Based on the moving standard deviation of each data point in the depth value sequence, a set of depth fluctuation points is obtained; Based on the moving standard deviation of each data point in the angle deviation value sequence, the angle fluctuation point set is obtained in the same way as the depth fluctuation point set; Record the set consisting of the time points corresponding to all data points in each depth fluctuation point set as a depth time distribution set, and record the set consisting of the time points corresponding to all data points in each angle fluctuation point set as an angle time distribution set; record the intersection-over-union ratio between the depth time distribution set and the angle time distribution set as the time overlap; calculate the fluctuation difference value of each depth fluctuation point set based on the difference between the moving standard deviations of all data points in the depth value sequence; determine the jitter possibility of each depth fluctuation point set based on the maximum value of the time overlap and the fluctuation difference value; Constructing the jitter interference degree of each depth value based on the jitter possibility of each depth fluctuation point set and the local data fluctuation characteristics of each depth value; The measurement results of rock and soil geological exploration depth are obtained based on the jitter interference degree of each depth value and the collected angle deviation value.
2. A method for measuring rock and soil depth in geological exploration according to claim 1, characterized in that: The process of obtaining each depth fluctuation point set is as follows: The moving standard deviation of all data points in the depth value sequence is threshold segmented to obtain the first segmentation threshold, and the data points whose moving standard deviation is greater than the first segmentation threshold are recorded as suspected points; all suspected points are clustered to obtain clusters; and the clusters whose number of elements is greater than the preset number threshold are recorded as depth fluctuation point sets.
3. A method for measuring rock and soil depth in geological exploration according to claim 1, characterized in that: The process of obtaining the jitter possibility of each depth fluctuation point set is as follows: Obtaining the maximum value of the time overlap between any one of the depth time distribution sets and all angle time distribution sets, recorded as a first maximum value; The product of the first maximum value and the fluctuation difference value is used as the jitter possibility of each depth fluctuation point set.
4. A method for measuring rock and soil depth in geological exploration according to claim 1, characterized in that: The process of obtaining the fluctuation difference value is as follows: Calculate the mean of the moving standard deviations of all data points in each depth fluctuation point set, recorded as the first mean; calculate the mean of the moving standard deviations of all data points in the depth value sequence whose moving standard deviations are less than or equal to the first segmentation threshold, recorded as the second mean; record the difference between the first mean and the second mean as the first difference; The fluctuation difference value of each depth fluctuation point set is positively correlated with the first difference value.
5. A method for measuring rock and soil depth in geological exploration according to claim 4, characterized in that: The process of obtaining the jitter interference degree of each depth value is as follows: Calculate the degree of jitter interference of each depth value in each depth fluctuation point set according to the jitter possibility and the moving standard deviation of each data point in each depth fluctuation point set; The jitter interference degree of the remaining depth values excluding the depth values in the depth fluctuation point set is assigned to a preset natural constant.
6. A method for measuring rock and soil depth in geological exploration according to claim 5, characterized in that: The process of obtaining the jitter interference degree of each depth value in each depth fluctuation point set is as follows: Calculate the difference between the moving standard deviation of each depth value in each depth fluctuation point set and the second mean, and record it as a second difference; The degree of jitter interference of each depth value in each depth fluctuation point set is positively correlated with the jitter possibility of each depth fluctuation point set and the second difference.
7. A method for measuring rock and soil depth in geological exploration according to claim 1, characterized in that: The process of obtaining the measurement result of the rock and soil geological exploration depth is as follows: The importance weight of each depth value is determined based on the degree of jitter interference; the mean value of all data points in the angle deviation value sequence is recorded as the first angle; the product of each depth value and the corresponding importance weight is calculated and recorded as the first product; the product between the cumulative sum of the first products of all depth values and the cosine value of the first angle is used as the measurement result of the geotechnical exploration depth.
8. A method for measuring rock and soil depth in geological exploration according to claim 7, characterized in that: The importance weight is: an inversely proportional mapping value of the degree of jitter interference of each depth value.
9. A system for measuring rock and soil depth in geological exploration, 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.
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