Water-conducting fault advanced exploration and evaluation method based on data analysis

Abstract

The invention relates to the technical field of data analysis, in particular to a water-guiding fault advanced probing and evaluating method based on data analysis, which comprises the steps of uploading probing area position coordinates, determining a probing area range based on the probing area position coordinates, selecting probing point locations in the probing area range, and collecting water-guiding fault related information of the probing point locations. Uploading the data to computer equipment for storage; according to the method, the water-guiding fault related information stored in the computer equipment is obtained, the water-guiding fault related information explored by the scheme is more comprehensive through the design of the exploration point positions, meanwhile, the stability of the water-guiding fault is output in a digital mode based on analysis of the explored water-guiding fault related information, and the stability of the water-guiding fault is improved. According to the method, data reference is provided for a user, a water-guiding fault stability visualization model is synchronously constructed on the basis of an output result, visual data reading experience is provided for the user, and therefore stable and unstable areas in a water-guiding fault area range can be rapidly positioned.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and in particular to a method for advanced exploration and evaluation of water-conducting faults based on data analysis. Background Art

[0002] A water-conducting fault is a geological structure that can both store and conduct water. It consists of a fault fracture zone and its influence zone, providing a flow channel for groundwater. In engineering construction, water-conducting faults may cause problems such as water inrush in mines and leakage in water conservancy projects. Therefore, advance exploration and stability assessment of water-conducting faults are crucial.

[0003] However, although the current advanced exploration technology of water-conducting faults is assisted by more advanced exploration equipment during application, the determination of exploration points and further analysis of the exploration data still rely to a large extent on manual processing. The processing process has a low degree of intelligence, and because it mainly relies on manual processing, there are certain uncontrollable errors in the exploration results.

[0004] Therefore, there is an urgent need for an advanced exploration and evaluation method of water-conducting faults based on data analysis to solve the above problems. Summary of the invention

[0005] In view of the above-mentioned shortcomings of the prior art, the present invention provides a method for advanced exploration and evaluation of water-conducting faults based on data analysis, which solves the technical problems raised in the above-mentioned background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0007] The advanced exploration and evaluation method of water-conducting faults based on data analysis includes:

[0008] Upload the location coordinates of the exploration area, determine the scope of the exploration area based on the location coordinates of the exploration area, select exploration points within the exploration area, collect water-conducting fault-related information at the exploration points, and upload them to the computer device for storage; obtain the water-conducting fault-related information stored in the computer device, and analyze the stability of the water-conducting fault based on the water-conducting fault-related information; construct a water-conducting fault stability visualization model based on the water-conducting fault stability analysis results, and simultaneously map the stability analysis results of each area of ​​the water-conducting fault to the water-conducting fault stability visualization model; obtain the water-conducting fault stability analysis results and the water-conducting fault stability visualization model, transmit the water-conducting fault stability analysis results and the water-conducting fault stability visualization model to the computer device, and store them in the computer device;

[0009] The user terminal reads the water-conducting fault stability analysis results and the water-conducting fault stability visualization model in the computer device. When the water-conducting fault stability analysis results and the water-conducting fault stability visualization model are transmitted to the computer device for storage, the water-conducting fault related information stored in the computing device is deleted synchronously, and the water-conducting fault stability analysis results and the water-conducting fault stability visualization model are placed in the original water-conducting fault related information storage location for storage.

[0010] Furthermore, when uploading, the position coordinates of the exploration area are no less than three groups, and a group of closed areas are formed based on the interconnection of the position coordinates of the exploration area, and the closed area is recorded as the exploration area range, and the selection logic of the exploration points within the exploration area range is simultaneously set, and the exploration points are selected within the exploration area range based on the selection logic;

[0011] Among them, the water-conducting fault related information of the exploration point includes: fault depth, fault dip, fault inclination, fault drop, fault resistivity, fault water pressure, fault water level, and the porosity of fault rock. The water-conducting fault related information is uploaded to the computer for storage after collection, and the source exploration point of the collected water-conducting fault related information is marked simultaneously. Based on the marking of the water-conducting fault related information, the water-conducting fault related information is differentiated and stored.

[0012] Furthermore, after the closed area is determined, the center of the closed area is captured synchronously, and the center of the closed area is connected with each corner point on the closed area contour to obtain a plurality of line segments, which are recorded as reference line segments when the exploration points are selected, and all the exploration points fall on the reference line segments;

[0013] The selection logic of the exploration points within the exploration area is expressed as:

[0014]

[0015] Where: m is the number of exploration points on each reference line segment; m0 is the number of exploration points on the reference line segment; ε is the adjustment factor; s is the area of ​​the closed area; n is the total number of contour corner points in the closed area; θ i is the angle of the i-th group of corner points on the contour of the closed area; l left , l right is the length of the two sets of side lines used to form the i-th set of corner points;

[0016] Each set of reference line segments is divided into x segments of equal length, and the length of each segment is The endpoints of each segmented reference line segment are used as exploration points. Le represents the length of the reference line segment, m+1 represents the number of points on the reference line segment, (m+1)-1 represents the number of segmentations of the reference line segment, and the number of exploration points m on each reference line segment does not include a point on the contour of the closed area compared to m+1. The number base m0 of the exploration points on the reference line segment is customized by the user, m0≥2, and the adjustment factor ε is customized by the user and is subject to the following: the higher the requirement for the advanced exploration accuracy of the water-conducting fault, the smaller the adjustment factor ε, and vice versa, the larger the adjustment factor ε, and the adjustment factor ε>0.

[0017] Furthermore, before performing the analysis operation of the stability of the water-conducting fault, a closed area representing the exploration area is synchronously obtained, the closed area is segmented based on each reference line segment in the closed area to obtain a plurality of groups of sub-closed areas, and the local stability analysis of the water-conducting fault is further performed on each sub-closed area, and then the analysis results of each group are summed and averaged as the stability analysis result of the water-conducting fault corresponding to the exploration area of ​​the closed area;

[0018] The local stability analysis logic of the water-conducting fault in the sub-enclosed area is expressed as follows:

[0019]

[0020] Where: F is the local stability performance value of the water-conducting fault in the sub-enclosed area; Q0 is the local stability index of the water-conducting fault in the sub-enclosed area; m′ is the total amount of the sub-enclosed area adjacent to the sub-enclosed area; Q j is the local stability index of the water-conducting fault in the jth adjacent sub-enclosed area; ω j is the weight;

[0021] in, The sub-enclosed areas adjacent to the sub-enclosed area include the sub-enclosed areas on the left and right sides of the sub-enclosed area. s j is the area of ​​the jth adjacent sub-enclosed region.

[0022] Furthermore, the local stability index of the water-conducting fault in the sub-enclosed area is obtained by the following formula:

[0023]

[0024] Where: Q is the local stability index of the water-conducting fault in the sub-enclosed area; D is the fault depth; α and β are the fault dip angle and fault inclination angle; H is the fault drop; ρ r is the fault resistivity; ρ0 is the reference resistivity value; P is the fault water pressure; P0 is the reference water pressure value; L is the fault water level; L0 is the reference water level value; c is the porosity of the fault rock; c0 is the reference porosity value;

[0025] Among them, ρ0, P0, L0, and c0 are all customized by the system user. The smaller the local stability index Q of the water-conducting fault in the sub-enclosed area, the more stable the local part of the water-conducting fault is, and vice versa.

[0026] Furthermore, the operations of summing and averaging the analysis results are:

[0027]

[0028] Where: F all is the stability performance value of the water-conducting fault; u is the total amount of the sub-enclosed area; F v is the local stability performance value of the water-conducting fault in the vth sub-enclosed area; ω v is the weight;

[0029] in, The sub-enclosed areas adjacent to the sub-enclosed area include the sub-enclosed areas on the left and right sides of the sub-enclosed area. s v is the area of ​​the vth sub-enclosed region, for each F v Configuration v The process of calculation is the process of averaging the analysis results.

[0030] Furthermore, the water-conducting fault stability visualization model is a three-dimensional model, and the stretching surface of the three-dimensional model is the same size and shape as the closed area, and the three-dimensional model is vertically divided based on the reference line segment in the closed area to obtain a plurality of groups of sub-three-dimensional models;

[0031] The stability analysis results of each area of ​​the water-conducting fault and the local stability performance value of the water-conducting fault in each group of sub-enclosed areas, and the operation of mapping the stability analysis results of each area of ​​the water-conducting fault to the water-conducting fault stability visualization model are as follows:

[0032]

[0033] Where: h(q) is the stretched height of the sub-3D model q; h0 is the original height of the sub-3D model; F all F is the stability performance value of the water-conducting fault; q is the local stability performance value of the water-conducting fault in the sub-enclosed area corresponding to the sub-stereoscopic model q;

[0034] Among them, the sub-stereo model q is stretched based on the stretching height h(q) of the sub-stereo model q. After all the sub-stereo models have completed the stretching process, the sub-stereo models are combined to complete the mapped water-conducting fault stability visualization model.

[0035] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects:

[0036] The present invention provides a method for advanced exploration and evaluation of water-conducting faults based on data analysis. During the execution of the method, the design of exploration points makes the relevant information of the water-conducting faults explored by this scheme more comprehensive. At the same time, based on the analysis of the relevant information of the explored water-conducting faults, the stability of the water-conducting faults is output in a digital form to provide data reference for users. Further, based on the output results, a visualization model of the stability of the water-conducting faults is synchronously constructed to provide users with a visualized data reading experience, thereby more quickly locating stable and unstable areas within the water-conducting fault area. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in 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 invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0038] Figure 1 It is a flowchart of the method for advanced exploration and evaluation of water-conducting faults based on data analysis;

[0039] Figure 2 This is a schematic diagram of an example of the logic of the source of the exploration points in the present invention. DETAILED DESCRIPTION

[0040] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] The present invention will be further described below in conjunction with the embodiments.

[0042] Embodiment 1:

[0043] The method for advanced detection and evaluation of water-conducting faults based on data analysis in this embodiment is as follows: Figure 1 As shown, including:

[0044] Upload the location coordinates of the exploration area, determine the scope of the exploration area based on the location coordinates of the exploration area, select exploration points within the exploration area, collect water-conducting fault-related information at the exploration points, and upload it to the computer device for storage;

[0045] The water-conducting fault related information at the exploration point includes: fault depth, fault dip, fault inclination, fault drop, fault resistivity, fault water pressure, fault water level, and the porosity of the fault rock. The water-conducting fault related information is uploaded to the computer for storage after collection, and the source exploration point of the collected water-conducting fault related information is simultaneously marked, and based on the marking of the water-conducting fault related information, the water-conducting fault related information is differentiated and stored.

[0046] Fault depth refers to the vertical distance from the surface to the fault plane. It reveals the vertical extension of the fault, affecting the groundwater flow path and the difficulty of engineering construction. GRP can be used for collection.

[0047] Fault dip refers to the direction in which the fault plane is tilted, reflecting the spatial direction of the fault and used to predict the extension trend of the fault and the direction of groundwater flow. The acquisition method can be measured by geological compass.

[0048] The fault dip is the angle between the fault plane and the horizontal plane, which affects the stability and hydraulic conductivity of the fault. The acquisition method can be measured by an inclinometer.

[0049] Fault drop refers to the vertical displacement of the same strata on both sides of the fault, reflecting the intensity of fault activity. Geophysical logging can be used as the acquisition method.

[0050] Fault resistivity is the resistance of the fault zone rock to the passage of electric current, reflecting the water content and rock fragmentation of the fault zone. The acquisition method can be magnetotelluric measurement.

[0051] Fault water pressure refers to the pressure exerted by groundwater on rocks in the fault, reflecting the dynamic conditions of groundwater in the fault. The acquisition method can be borehole water pressure testing.

[0052] Fault water level refers to the height from the groundwater surface in the fault to the reference surface, which reflects the state of occurrence and potential flow direction of groundwater in the fault and is used to predict hydrogeological conditions. The acquisition method can be measured by a water level meter.

[0053] The porosity of fault rock refers to the ratio of the pore volume in the rock to the total volume of the rock, reflecting the ability of the fault rock to store and conduct water. The acquisition method can be analyzed by logging data.

[0054] Obtaining relevant information of the water-conducting fault stored in the computer device, and analyzing the stability of the water-conducting fault based on the relevant information of the water-conducting fault;

[0055] Before performing the analysis operation of the stability of the water-conducting fault, a closed area representing the exploration area is obtained synchronously, and the closed area is divided based on each reference line segment in the closed area to obtain a number of sub-closed areas, and the local stability analysis of the water-conducting fault is further performed on each sub-closed area, and then the analysis results of each group are summed and averaged as the stability analysis result of the water-conducting fault corresponding to the exploration area of ​​the closed area;

[0056] The local stability analysis logic of the water-conducting fault in the sub-enclosed area is expressed as follows:

[0057]

[0058] Where: F is the local stability performance value of the water-conducting fault in the sub-enclosed area; Q0 is the local stability index of the water-conducting fault in the sub-enclosed area; m′ is the total amount of the sub-enclosed area adjacent to the sub-enclosed area; Q j is the local stability index of the water-conducting fault in the jth adjacent sub-enclosed area; ω j is the weight;

[0059] in, The sub-enclosed areas adjacent to the sub-enclosed area include the sub-enclosed areas on the left and right sides of the sub-enclosed area. s j is the area of ​​the jth adjacent sub-enclosed region;

[0060] The local stability index of the water-conducting fault in the sub-enclosed area is calculated by the following formula:

[0061]

[0062] Where: Q is the local stability index of the water-conducting fault in the sub-enclosed area; D is the fault depth; α and β are the fault dip angle and fault inclination angle; H is the fault drop; ρ r is the fault resistivity; ρ0 is the reference resistivity value; P is the fault water pressure; P0 is the reference water pressure value; L is the fault water level; L0 is the reference water level value; c is the porosity of the fault rock; c0 is the reference porosity value;

[0063] Among them, ρ0, P0, L0, and c0 are all defined by the system end user. The smaller the local stability index Q of the water-conducting fault in the sub-enclosed area, the more stable the local part of the water-conducting fault is, and vice versa;

[0064] The operation of summing and averaging the analysis results is:

[0065]

[0066] Where: F all is the stability performance value of the water-conducting fault; u is the total amount of the sub-enclosed area; F vis the local stability performance value of the water-conducting fault in the vth sub-enclosed area; ω v is the weight;

[0067] in, The sub-enclosed areas adjacent to the sub-enclosed area include the sub-enclosed areas on the left and right sides of the sub-enclosed area. s v is the area of ​​the vth sub-enclosed region, for each F v Configuration v The process of performing calculations, i.e. the process of averaging the analysis results;

[0068] According to the stability analysis results of the water-conducting fault, a visualization model of the stability of the water-conducting fault is constructed, and the stability analysis results of each area of ​​the water-conducting fault are simultaneously mapped to the visualization model of the stability of the water-conducting fault;

[0069] Obtaining the stability analysis results of the water-conducting fault and the visualization model of the stability of the water-conducting fault, transmitting the stability analysis results of the water-conducting fault and the visualization model of the stability of the water-conducting fault to a computer device, and storing them in the computer device;

[0070] The user terminal reads the water-conducting fault stability analysis results and the water-conducting fault stability visualization model in the computer device. When the water-conducting fault stability analysis results and the water-conducting fault stability visualization model are transmitted to the computer device for storage, the water-conducting fault related information stored in the computing device is deleted synchronously, and the water-conducting fault stability analysis results and the water-conducting fault stability visualization model are placed in the original water-conducting fault related information storage location for storage.

[0071] This embodiment achieves a comprehensive and accurate assessment of fault stability by comprehensively utilizing key parameters such as fault depth, inclination, dip, drop, resistivity, water pressure, water level and rock porosity. The method introduces a mathematical model, including local stability analysis of sub-enclosed areas and overall stability assessment. By incorporating various parameters into a unified calculation framework and considering the influence of adjacent areas and area weights, this method can more accurately reflect the actual stability state of the fault. In addition, by setting reference values ​​and weight coefficients, this method enables the evaluation results to flexibly adapt to different geological conditions, thereby improving the applicability and accuracy of the analysis.

[0072] In this embodiment, by executing the method in the above embodiment, effective exploration position design and exploration information analysis logic are provided for the advance exploration of water-conducting faults, ensuring that the advance exploration of water-conducting faults can be completed more intelligently, and reducing the annual labor cost proportion in the process of the advance exploration of water-conducting faults;

[0073] Moreover, during the execution of the method in the above-mentioned embodiment, the design of the exploration points makes the information related to the water-conducting fault detected by this scheme more comprehensive. At the same time, based on the analysis of the information related to the water-conducting fault detected, the stability of the water-conducting fault is output in a digital form to provide data reference for the user. Furthermore, based on the output results, a visualization model of the stability of the water-conducting fault is synchronously constructed to provide the user with a visualized data reading experience, thereby more quickly locating the stable and unstable areas within the water-conducting fault area.

[0074] See also Figure 2 As shown in the figure, the solid line graphic is used to represent the closed area, the dotted line represents the auxiliary line, and the black dots in the figure represent the exploration points determined in the above method, and the exploration point at the center is also the center point of the closed area.

[0075] Embodiment 2:

[0076] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The method for advanced detection and evaluation of water-conducting faults based on data analysis in Example 1 is further described in detail:

[0077] When uploading, there are no less than three groups of exploration area location coordinates. Based on the interconnection of the exploration area location coordinates, a group of closed areas are formed. The closed areas are recorded as the exploration area range. The selection logic of the exploration points within the exploration area range is simultaneously set, and the exploration points are selected within the exploration area range based on the selection logic.

[0078] Among them, the water-conducting fault-related information at the exploration point includes: fault depth, fault inclination, fault dip, fault drop, fault resistivity, fault water pressure, fault water level, and fault rock porosity. The water-conducting fault-related information is uploaded to the computer for storage after collection, and the source exploration point of the collected water-conducting fault-related information is marked simultaneously. Based on the marking of the water-conducting fault-related information, the water-conducting fault-related information is differentiated and stored;

[0079] After the closed area is determined, the center of the closed area is captured synchronously, and the center of the closed area is connected with each corner point on the closed area contour to obtain several groups of line segments, which are recorded as reference line segments when the exploration points are selected. All exploration points fall on the reference line segments;

[0080] The selection logic of the exploration points within the exploration area is expressed as:

[0081]

[0082] Where: m is the number of exploration points on each reference line segment; m0 is the number of exploration points on the reference line segment; ε is the adjustment factor; s is the area of ​​the closed area; n is the total number of contour corner points in the closed area; θi is the angle of the i-th group of corner points on the contour of the closed area; l left , l right is the length of the two sets of side lines used to form the i-th set of corner points;

[0083] Each set of reference line segments is divided into x segments of equal length, and the length of each segment is The endpoints of each segmented reference line segment are used as exploration points. Le represents the length of the reference line segment, m+1 represents the number of points on the reference line segment, (m+1)-1 represents the number of segmentations of the reference line segment, and the number of exploration points m on each reference line segment does not include a point on the contour of the closed area compared to m+1. The number base m0 of the exploration points on the reference line segment is customized by the user, m0≥2, and the adjustment factor ε is customized by the user and is subject to the following: the higher the requirement for the advanced exploration accuracy of the water-conducting fault, the smaller the adjustment factor ε, and vice versa, the larger the adjustment factor ε, and the adjustment factor ε>0.

[0084] In this embodiment, through the above settings, further execution and data support are provided for the method in Example 1, and the exploration points within the exploration area are further determined by the selection logic of the exploration points within the exploration area, thereby realizing the comprehensive collection of advance exploration data of water-conducting faults.

[0085] Embodiment 3:

[0086] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The method for advanced detection and evaluation of water-conducting faults based on data analysis in Example 1 is further described in detail:

[0087] The stability visualization model of the water-conducting fault is a three-dimensional model, and the stretching surface of the three-dimensional model is the same size and shape as the closed area, and the three-dimensional model is vertically divided based on the reference line segment in the closed area to obtain several groups of sub-three-dimensional models;

[0088] The stability analysis results of each area of ​​the water-conducting fault and the local stability performance value of the water-conducting fault in each group of sub-enclosed areas. The operation of mapping the stability analysis results of each area of ​​the water-conducting fault to the water-conducting fault stability visualization model is as follows:

[0089]

[0090] Where: h(q) is the stretched height of the sub-3D model q; h0 is the original height of the sub-3D model; F all F is the stability performance value of the water-conducting fault; q is the local stability performance value of the water-conducting fault in the sub-enclosed area corresponding to the sub-stereoscopic model q;

[0091] Among them, the sub-stereo model q is stretched based on the stretching height h(q) of the sub-stereo model q. After all the sub-stereo models have completed the stretching process, the sub-stereo models are combined to complete the mapped water-conducting fault stability visualization model.

[0092] In this embodiment, through the above settings, the operation and process of mapping the stability analysis results of each area of ​​the water-conducting fault into the water-conducting fault stability visualization model are further improved to ensure the stable output of the mapped water-conducting fault stability visualization model.

[0093] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for advanced detection and evaluation of water-conducting faults based on data analysis, characterized in that: include: Upload the location coordinates of the exploration area, determine the scope of the exploration area based on the location coordinates of the exploration area, select exploration points within the exploration area, collect water-conducting fault-related information at the exploration points, and upload it to the computer device for storage; Obtaining relevant information of the water-conducting fault stored in the computer device, and analyzing the stability of the water-conducting fault based on the relevant information of the water-conducting fault; According to the stability analysis results of the water-conducting fault, a visualization model of the stability of the water-conducting fault is constructed, and the stability analysis results of each area of ​​the water-conducting fault are simultaneously mapped to the visualization model of the stability of the water-conducting fault; The stability analysis results of the water-conducting fault and the stability visualization model of the water-conducting fault are obtained, and the stability analysis results of the water-conducting fault and the stability visualization model of the water-conducting fault are transmitted to a computer device and stored in the computer device.

2. The method for advanced detection and evaluation of water-conducting faults based on data analysis according to claim 1 is characterized in that: The exploration area position coordinates are uploaded in no less than three groups, and a group of closed areas are formed based on the interconnection of the exploration area position coordinates, and the closed areas are recorded as the exploration area range, and the selection logic of the exploration points within the exploration area range is simultaneously set, and the exploration points are selected within the exploration area range based on the selection logic; Among them, the water-conducting fault related information of the exploration point includes: fault depth, fault dip, fault inclination, fault drop, fault resistivity, fault water pressure, fault water level, and the porosity of fault rock. The water-conducting fault related information is uploaded to the computer for storage after collection, and the source exploration point of the collected water-conducting fault related information is marked simultaneously. Based on the marking of the water-conducting fault related information, the water-conducting fault related information is differentiated and stored.

3. The method for advanced detection and evaluation of water-conducting faults based on data analysis according to claim 2 is characterized in that: After the closed area is determined, the center of the closed area is captured synchronously, and the center of the closed area is connected with each corner point on the closed area contour to obtain a plurality of line segments, which are recorded as reference line segments when the exploration points are selected, and all the exploration points fall on the reference line segments; The selection logic of the exploration points within the exploration area is expressed as: Where: m is the number of exploration points on each reference line segment; m0 is the number of exploration points on the reference line segment; ε is the adjustment factor; s is the area of ​​the closed area; n is the total number of contour corner points in the closed area; θ i is the angle of the i-th group of corner points on the contour of the closed area; l left , l right is the length of the two sets of side lines used to form the i-th set of corner points; Each set of reference line segments is divided into x segments of equal length, and the length of each segment is The endpoints of each segmented reference line segment are used as exploration points. Le represents the length of the reference line segment, m+1 represents the number of points on the reference line segment, (m+1)-1 represents the number of segmentations of the reference line segment, and the number of exploration points m on each reference line segment does not include a point on the contour of the closed area compared to m+1. The number base m0 of the exploration points on the reference line segment is customized by the user, m0≥2, and the adjustment factor ε is customized by the user and is subject to the following: the higher the requirement for the advanced exploration accuracy of the water-conducting fault, the smaller the adjustment factor ε, and vice versa, the larger the adjustment factor ε, and the adjustment factor ε>

0.

4. The method for advanced detection and evaluation of water-conducting faults based on data analysis according to claim 2 is characterized in that: Before performing the analysis operation on the stability of the water-conducting fault, a closed area representing the exploration area is synchronously obtained, and the closed area is divided based on the reference line segments in the closed area to obtain a number of groups of sub-closed areas. The local stability analysis of the water-conducting fault is further performed on each sub-closed area, and then the analysis results of each group are summed and averaged as the analysis result of the stability of the water-conducting fault in the exploration area corresponding to the closed area.

5. The method for advanced detection and evaluation of water-conducting faults based on data analysis according to claim 4 is characterized in that: The local stability analysis logic of the water-conducting fault in the sub-enclosed area is expressed as follows: Where: F is the local stability performance value of the water-conducting fault in the sub-enclosed area; Q0 is the local stability index of the water-conducting fault in the sub-enclosed area; m′ is the total amount of the sub-enclosed area adjacent to the sub-enclosed area; Q j is the local stability index of the water-conducting fault in the jth adjacent sub-enclosed area; ω j is the weight; in, The sub-enclosed areas adjacent to the sub-enclosed area include the sub-enclosed areas on the left and right sides of the sub-enclosed area. s j is the area of ​​the jth adjacent sub-enclosed region.

6. The method for advanced detection and evaluation of water-conducting faults based on data analysis according to claim 5 is characterized in that: The local stability index of the water-conducting fault in the sub-enclosed area is obtained by the following formula: Where: Q is the local stability index of the water-conducting fault in the sub-enclosed area; D is the fault depth; α and β are the fault dip angle and fault inclination angle; H is the fault drop; ρ r is the fault resistivity; ρ0 is the reference resistivity value; P is the fault water pressure; P0 is the reference water pressure value; L is the fault water level; L0 is the reference water level value; c is the porosity of the fault rock; c0 is the reference porosity value; Among them, ρ0, P0, L0, and c0 are all customized by the system user. The smaller the local stability index Q of the water-conducting fault in the sub-enclosed area, the more stable the local part of the water-conducting fault is, and vice versa.

7. The method for advanced detection and evaluation of water-conducting faults based on data analysis according to claim 4 is characterized in that: The operation of summing and averaging the analysis results is: Where: F all is the stability performance value of the water-conducting fault; u is the total amount of the sub-enclosed area; F v is the local stability performance value of the water-conducting fault in the vth sub-enclosed area; ω v is the weight; in, The sub-enclosed areas adjacent to the sub-enclosed area v include the sub-enclosed areas on the left and right sides of the sub-enclosed area v. s v is the area of ​​the vth sub-enclosed region, for each F v Configuration v The process of calculation is the process of averaging the analysis results.

8. The method for advanced detection and evaluation of water-conducting faults based on data analysis according to claim 4 is characterized in that: The water-conducting fault stability visualization model is a three-dimensional model, and the stretching surface of the three-dimensional model is the same size and shape as the closed area, and the three-dimensional model is vertically divided based on the reference line segment in the closed area to obtain a plurality of groups of sub-three-dimensional models; The stability analysis results of each area of ​​the water-conducting fault and the local stability performance value of the water-conducting fault in each group of sub-enclosed areas, and the operation of mapping the stability analysis results of each area of ​​the water-conducting fault to the water-conducting fault stability visualization model are as follows: Where: h(q) is the stretched height of the sub-3D model q; h0 is the original height of the sub-3D model; F all F is the stability performance value of the water-conducting fault; q is the local stability performance value of the water-conducting fault in the sub-enclosed area corresponding to the sub-stereoscopic model q; Among them, the sub-stereo model q is stretched based on the stretching height h(q) of the sub-stereo model q. After all the sub-stereo models have completed the stretching process, the sub-stereo models are combined to complete the mapped water-conducting fault stability visualization model.

9. The method for advanced detection and evaluation of water-conducting faults based on data analysis according to claim 1, characterized in that: The user terminal reads the water-conducting fault stability analysis results and the water-conducting fault stability visualization model in the computer device. When the water-conducting fault stability analysis results and the water-conducting fault stability visualization model are transmitted to the computer device for storage, the water-conducting fault related information stored in the computing device is deleted synchronously, and the water-conducting fault stability analysis results and the water-conducting fault stability visualization model are placed in the original water-conducting fault related information storage location for storage.

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