Tailing pond seepage sensitivity analysis and dam break early warning method based on fracture characteristics

Abstract

The invention provides a tailing pond seepage sensitivity analysis and dam break early warning method based on fracture characteristics, and the method comprises the steps: obtaining a collection image of a tailing pond dam body based on a computer vision technology, carrying out the analysis processing of the collection image, determining a joint fracture region and joint fracture characteristics, and achieving the accurate obtaining of the joint fracture characteristics of the tailing pond. And providing an accurate data basis for the seepage sensitivity of the tailing pond, determining the infiltration surface distribution and the hydraulic gradient distribution of the tailing pond dam body based on the joint fissure area and the joint fissure characteristics, carrying out seepage sensitivity analysis calculation on the tailing pond dam body to obtain a seepage calculation result, and calculating the seepage sensitivity of the tailing pond dam body based on a standard result. Dam break judgment is carried out on various types of seepage calculation results, early warning reminding is carried out according to the dam break judgment, accurate analysis and early warning of the stability of the tailings pond are achieved, and the safety of the tailings pond is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of tailings ponds, and particularly to a method for analyzing the seepage sensitivity of a tailings pond based on fracture characteristics and warning of dam breakage. Background Art

[0002] With the increasing engineering scale of tailings ponds, the seepage stability of tailings ponds has become an important issue for engineering safety and sustainable development. As an important part of mine production, the safety and stability of tailings ponds are directly related to the safety of mine production and environmental protection. However, during the operation of tailings ponds, slope crack problems occur from time to time, seriously threatening the safety and stability of tailings ponds. Fracture characteristic analysis is one of the key steps in evaluating the seepage stability of tailings ponds. It can help engineers understand and evaluate the influence of different fracture characteristics on the seepage stability of tailings ponds, so as to guide the design and implementation of more reasonable measures to ensure the safety of tailings ponds.

[0003] How to accurately analyze the stability of tailings ponds based on fracture characteristics has become an important problem to be solved. Summary of the Invention

[0004] The present invention provides a method for analyzing the seepage sensitivity of a tailings pond based on fracture characteristics and warning of dam breakage to solve the problems raised in the background art.

[0005] A method for analyzing the seepage sensitivity of a tailings pond based on fracture characteristics and warning of dam breakage includes:

[0006] S1: Obtain the collected images of the tailings pond dam based on computer vision technology, and analyze and process the collected images to determine the joint fracture area and joint fracture characteristics;

[0007] S2: Based on the joint fracture area and joint fracture characteristics, combined with the basic information of the tailings pond dam, establish a three-dimensional boundary model of the tailings pond dam;

[0008] S3: Perform numerical simulation on the three-dimensional boundary model, and determine the phreatic surface distribution and hydraulic gradient distribution of the tailings pond dam according to the numerical simulation results;

[0009] S4: Perform seepage sensitivity analysis and calculation on the tailings pond dam based on the phreatic surface distribution and hydraulic gradient distribution of the tailings pond dam to obtain the seepage calculation results;

[0010] S5: Based on the standard results, perform dam break judgment on various types of results of the seepage calculation results, and give warning reminders according to the dam break judgment.

[0011] Preferably, in S1, obtaining the collected images of the tailings pond dam based on computer vision technology includes:

[0012] Establish a target tracking and shooting strategy for the tailings dam by the camera, and shoot the tailings dam according to the target tracking and shooting strategy to obtain a captured image;

[0013] Establish a target detection and scanning strategy for the tailings dam by the scanner, and scan the tailings dam according to the target detection and scanning strategy to obtain a scanned image;

[0014] Integrate the captured image and the scanned image to obtain a collected image of the tailings dam.

[0015] Preferably, in S1, analyze and process the collected image to determine the joint fracture area and joint fracture characteristics, including:

[0016] Analyze the collected image based on the standard geological characteristics, divide the area of the tailings dam to obtain different types of geological areas;

[0017] Based on the standard joint fracture characteristics corresponding to different types of geological areas, identify the geological areas to obtain the joint fracture area and joint fracture characteristics.

[0018] Preferably, in S2, based on the joint fracture area and joint fracture characteristics, combined with the basic information of the tailings dam, establish a three-dimensional boundary model of the tailings dam, including:

[0019] Obtain the slope surface information and beach surface information from the tailings dam information as boundary information, and obtain the surrounding mountain information from the tailings dam information as impermeable internal information;

[0020] Perform three-dimensional conversion on the boundary information and impermeable internal information to obtain three-dimensional basic information, perform three-dimensional conversion on the joint fracture area and joint fracture characteristics to obtain three-dimensional marking information, and based on the corresponding relationship between the joint fracture area and joint fracture characteristics and the boundary information, fuse the three-dimensional basic information and three-dimensional marking information to obtain three-dimensional target information;

[0021] Establish an initial three-dimensional model based on the three-dimensional target information, obtain the numerical characteristics of joint fractures in the initial boundary model, analyze and match the numerical characteristics of joint fractures with the characteristics of the seepage principle to determine the seepage characteristics of the initial boundary model;

[0022] Based on the seepage characteristics, combine with the initial three-dimensional model to establish a three-dimensional seepage model, perform grid division on the three-dimensional seepage model, analyze the infiltration characteristics and hydraulic gradient characteristics of each grid, and perform feature marking on the grid based on the analysis results;

[0023] Determine the grids that meet the preset boundary conditions according to the feature marking results of the grids, and establish a three-dimensional boundary model of the tailings dam.

[0024] Preferably, analyze and match the numerical characteristics of the joint fissures with the characteristics of the seepage principle to determine the seepage characteristics of the initial boundary model, including:

[0025] Based on the matching of the numerical characteristics of the joint fissures with the characteristics of the seepage principle, determine the preliminary seepage numerical value under the numerical characteristics of the joint fissures;

[0026] Based on the preliminary seepage numerical value, establish the seepage characteristics in the initial boundary model.

[0027] Preferably, determining the grids that meet the preset boundary conditions according to the characteristic marking results of the grids, and establishing the three-dimensional boundary model of the tailings dam body, including:

[0028] Based on the characteristic marking results of the grids, determine the unit numerical characteristics of each grid;

[0029] Compare the unit numerical characteristics with the preset boundary conditions, and use the grids corresponding to the unit numerical characteristics that meet the preset boundary conditions as the boundary regions;

[0030] Integrate the boundary regions to establish the three-dimensional boundary model of the tailings dam body.

[0031] Preferably, in S3, perform numerical simulation on the three-dimensional boundary model, and determine the phreatic surface distribution and hydraulic gradient distribution of the tailings dam body according to the numerical simulation results, including:

[0032] Design the first boundary layer parameters of different levels based on the phreatic characteristics in the three-dimensional boundary model, design the second boundary layer parameters of different levels based on the hydraulic gradient characteristics in the three-dimensional boundary model, and mutually verify and correct the first boundary layer parameters and the second boundary layer parameters to obtain the target boundary layer parameters of different levels;

[0033] Perform multiple numerical simulations on the three-dimensional boundary model based on the target boundary layer parameters of different levels to determine the boundary seepage simulation values and boundary observation values;

[0034] Based on the boundary simulation values and boundary observation values at each different level, obtain the phreatic numerical values and hydraulic gradient numerical values determined at different levels, and determine the phreatic numerical value curve and the hydraulic gradient curve;

[0035] Based on the parameter difference correlation between the target boundary layer parameters of different levels, correct the phreatic numerical value curve and the hydraulic gradient curve to obtain the target phreatic numerical value curve and the target hydraulic gradient curve;

[0036] Obtain the actual boundary parameters of the three-dimensional boundary model, obtain the numerical points matching the actual boundary parameters from the target infiltration numerical curve and the target hydraulic gradient curve, and determine the infiltration surface distribution and hydraulic gradient distribution of the tailings dam based on the numerical points.

[0037] Preferably, in the step S4, perform seepage sensitivity analysis and calculation on the tailings dam based on the infiltration surface distribution and hydraulic gradient distribution of the tailings dam to obtain seepage calculation results, including:

[0038] Perform seepage sensitivity analysis and calculation on the tailings dam based on the infiltration surface distribution and hydraulic gradient distribution of the tailings dam according to the preset indexes and preset algorithms to obtain the calculation results under each preset index;

[0039] Comprehensively determine the seepage calculation results for the tailings dam based on the calculation results.

[0040] Preferably, the comprehensive determination of the seepage calculation results for the tailings dam based on the calculation results includes:

[0041] Obtain a preset comparison table between the preset indexes and seepage sensitivity, and determine the seepage sensitivity corresponding to each calculation result based on the preset comparison table;

[0042] Determine the seepage calculation results for the tailings dam based on the seepage sensitivity corresponding to all the calculation results.

[0043] Preferably, in the step S5, based on the standard results, perform dam-break judgment on various types of results of the seepage calculation results, and give early warning reminders according to the dam-break judgment, including:

[0044] Obtain the head result, pore pressure result, infiltration surface position, flow velocity result and hydraulic gradient result from various types of results of the seepage calculation results;

[0045] Input the head result, pore pressure result, infiltration surface position, flow velocity result and hydraulic gradient result into the comprehensive dam-break judgment model to obtain the dam-break judgment result;

[0046] Give early warning reminders when the dam-break judgment result does not meet the standard results.

[0047] Compared with the prior art, the present invention has achieved the following beneficial effects:

[0048] By acquiring the collected images of the tailings pond dam based on computer vision technology, analyzing and processing the collected images, determining the joint fissure area and joint fissure characteristics, accurately obtaining the joint fissure characteristics of the tailings pond, providing an accurate data basis for the seepage sensitivity of the tailings pond, determining the phreatic surface distribution and hydraulic gradient distribution of the tailings pond dam based on the joint fissure area and joint fissure characteristics, analyzing and calculating the seepage sensitivity of the tailings pond dam to obtain the seepage calculation results, judging the dam break for various types of results based on the standard results, and giving early warning reminders according to the dam break judgment, realizing the accurate analysis and early warning of the stability of the tailings pond and ensuring the safety of the tailings pond.

[0049] Other features and advantages of the present invention will be described in the following specification, and part of them will become obvious from the specification or be understood by implementing the present invention. The objectives and other advantages of the present invention can be achieved and obtained through the structure specifically pointed out in this application document.

[0050] The technical solutions of the present invention will be further described in detail below through the accompanying drawings and embodiments. Description of the Drawings

[0051] The accompanying drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention, and do not constitute a limitation to the present invention. In the drawings:

[0052] Figure 1 is a flowchart of the method for analyzing the seepage sensitivity of a tailings pond and warning of dam break based on fissure characteristics in an embodiment of the present invention;

[0053] Figure 2 is a flowchart of acquiring the collected images of the tailings pond dam in an embodiment of the present invention;

[0054] Figure 3 is a flowchart of determining the joint fissure area and joint fissure characteristics in an embodiment of the present invention. Detailed Description of the Embodiment

[0055] The following describes the preferred embodiments of the present invention with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0056] Embodiment 1:

[0057] The embodiment of the present invention provides a method for analyzing the seepage sensitivity of a tailings pond and warning of dam break based on fissure characteristics, as Figure 1 shown, including:

[0058] S1: Obtain the collected images of the tailings dam based on computer vision technology, and analyze and process the collected images to determine the joint fracture area and joint fracture characteristics;

[0059] S2: Based on the joint fracture area and joint fracture characteristics, and combined with the basic information of the tailings dam, establish a three-dimensional boundary model of the tailings dam;

[0060] S3: Conduct numerical simulation on the three-dimensional boundary model, and determine the phreatic surface distribution and hydraulic gradient distribution of the tailings dam according to the numerical simulation results;

[0061] S4: Conduct seepage sensitivity analysis and calculation on the tailings dam based on the phreatic surface distribution and hydraulic gradient distribution of the tailings dam to obtain the seepage calculation results;

[0062] S5: Based on the standard results, conduct dam-break judgment on various types of results of the seepage calculation results, and give early warning reminders according to the dam-break judgment.

[0063] In this embodiment, computer vision technology is, for example, object detection, object tracking, image detection, etc.

[0064] In this embodiment, analyzing and processing the collected images to determine the joint fracture area and joint fracture characteristics includes image conversion, feature recognition, image segmentation, etc.

[0065] In this embodiment, the physical meaning of the hydraulic gradient is the head loss per unit seepage length. When studying seepage deformation and failure, the hydraulic gradient is a very important physical quantity and an important index in the design of tailings dams.

[0066] In this embodiment, the position of the phreatic surface in the tailings dam and the deposition beach has a great impact on the safety of the tailings dam. Most dam-break accidents of tailings dams are directly related to the too high phreatic surface of the dam body.

[0067] In this embodiment, seepage is likely to occur when the boundary characteristics in the three-dimensional boundary model exceed the preset boundary conditions.

[0068] In this embodiment, the seepage sensitivity analysis and calculation of the tailings dam based on the three-dimensional boundary model are obtained according to the head characteristics, etc.

[0069] In this embodiment, various types of results include head results, pore pressure results, phreatic surface position, flow velocity results, and hydraulic gradient results.

[0070] The beneficial effects of the above design solution are as follows: By acquiring the collected images of the tailings dam based on computer vision technology and analyzing and processing the collected images to determine the joint fissure area and joint fissure characteristics, the accurate acquisition of the joint fissure characteristics of the tailings dam is realized, providing an accurate data basis for the seepage sensitivity of the tailings dam. Based on the joint fissure area and joint fissure characteristics, the phreatic surface distribution and hydraulic gradient distribution of the tailings dam are determined, and the seepage sensitivity analysis and calculation of the tailings dam are carried out to obtain the seepage calculation results. Based on the standard results, dam-break judgments are made for various types of results of the seepage calculation results, and early warning reminders are given according to the dam-break judgments, realizing the precise analysis and early warning of the stability of the tailings dam and ensuring the safety of the tailings dam.

[0071] Embodiment 2:

[0072] Based on Embodiment 1, an embodiment of the present invention provides a method for analyzing seepage sensitivity and dam-break early warning of a tailings dam based on fissure characteristics, as Figure 2 shown. In S1, acquiring the collected images of the tailings dam based on computer vision technology includes:

[0073] Establishing a target tracking and shooting strategy for the camera to the tailings dam, and shooting the tailings dam according to the target tracking and shooting strategy to obtain shooting images;

[0074] Establishing a target detection and scanning strategy for the scanner to the tailings dam, and scanning the tailings dam according to the target detection and scanning strategy to obtain scanning images;

[0075] Integrating the shooting images and the scanning images to obtain the collected images of the tailings dam.

[0076] In this embodiment, the target tracking and shooting strategy is to track and shoot the target, and the target detection and scanning strategy is to scan and detect the target.

[0077] The beneficial effects of the above design solution are as follows: By establishing a target tracking and shooting strategy for the camera to the tailings dam, shooting the tailings dam according to the target tracking and shooting strategy to obtain shooting images, establishing a target detection and scanning strategy for the scanner to the tailings dam, scanning the tailings dam according to the target detection and scanning strategy to obtain scanning images, and integrating the shooting images and the scanning images to obtain the collected images of the tailings dam, the multi-source data acquisition and integration of the tailings dam are realized, ensuring the accuracy and comprehensiveness of the collected images and providing a basis for determining the joint fissure area and joint fissure characteristics.

[0078] Embodiment 3:

[0079] Based on Embodiment 1, an embodiment of the present invention provides a method for analyzing the seepage sensitivity and dam-break warning of a tailings reservoir based on fracture characteristics, as follows Figure 3 As shown, in S1, the collected image is analyzed and processed to determine the joint fracture area and joint fracture characteristics, including:

[0080] The collected image is analyzed based on standard geological characteristics, and the dam body of the tailings reservoir is regionally divided to obtain different types of geological regions;

[0081] Based on the standard joint fracture characteristics corresponding to different types of geological regions, the geological regions are identified to obtain the joint fracture area and joint fracture characteristics.

[0082] The beneficial effect of the above design is that by analyzing the collected image based on standard geological characteristics, the dam body of the tailings reservoir is regionally divided to obtain different types of geological regions, and based on the standard joint fracture characteristics corresponding to different types of geological regions, the geological regions are identified to obtain the joint fracture area and joint fracture characteristics, realizing the accurate acquisition of the joint fracture characteristics of the tailings reservoir and providing an accurate data basis for the seepage sensitivity of the tailings reservoir.

[0083] Embodiment 4:

[0084] Based on Embodiment 1, an embodiment of the present invention provides a method for analyzing the seepage sensitivity and dam-break warning of a tailings reservoir based on fracture characteristics. In S2, based on the joint fracture area and joint fracture characteristics, combined with the basic information of the dam body of the tailings reservoir, a three-dimensional boundary model of the dam body of the tailings reservoir is established, including:

[0085] The slope information and beach surface information are obtained from the dam body information of the tailings reservoir as boundary information, and the surrounding mountain information is obtained from the dam body information of the tailings reservoir as impermeable internal information;

[0086] The boundary information and impermeable internal information are three-dimensionally transformed to obtain three-dimensional basic information, the joint fracture area and joint fracture characteristics are three-dimensionally transformed to obtain three-dimensional marking information, and based on the correspondence between the joint fracture area and joint fracture characteristics and the boundary information, the three-dimensional basic information and three-dimensional marking information are fused to obtain three-dimensional target information;

[0087] An initial three-dimensional model is established based on the three-dimensional target information, the joint fracture numerical characteristics in the initial boundary model are obtained, and the joint fracture numerical characteristics are analyzed and matched with the seepage principle characteristics to determine the seepage characteristics of the initial boundary model;

[0088] Based on the seepage characteristics and combined with the initial three-dimensional model, a three-dimensional seepage model is established, and grid division is performed on the three-dimensional seepage model. The infiltration characteristics and hydraulic gradient characteristics of each grid are analyzed, and feature marking is performed on the grid based on the analysis results;

[0089] According to the feature marking results of the grid, the grids that meet the preset boundary conditions are determined, and a three-dimensional boundary model of the tailings dam is established.

[0090] The beneficial effects of the above design scheme are as follows: By obtaining the slope surface information and beach surface information from the tailings dam body information as boundary information, obtaining the surrounding mountain body information from the tailings dam body information as impermeable internal information, performing three-dimensional conversion on the boundary information and impermeable internal information to obtain three-dimensional basic information, performing three-dimensional conversion on the joint fracture area and joint fracture characteristics to obtain three-dimensional marking information, and based on the correspondence between the joint fracture area and joint fracture characteristics and the boundary information, fusing the three-dimensional basic information and three-dimensional marking information to obtain three-dimensional target information, providing accurate basic information for the establishment of the model. Based on the three-dimensional target information, an initial three-dimensional model is established, the joint fracture numerical characteristics in the initial boundary model are obtained, the joint fracture numerical characteristics are analyzed and matched with the seepage principle characteristics to determine the seepage characteristics of the initial boundary model. Based on the seepage characteristics and combined with the initial three-dimensional model, a three-dimensional seepage model is established, and grid division is performed on the three-dimensional seepage model. The infiltration characteristics and hydraulic gradient characteristics of each grid are analyzed, and feature marking is performed on the grid based on the analysis results. According to the feature marking results of the grid, the grids that meet the preset boundary conditions are determined, and a three-dimensional boundary model of the tailings dam is established, ensuring the accuracy and comprehensiveness of the obtained three-dimensional boundary model.

[0091] Embodiment 5:

[0092] Based on Embodiment 4, the embodiment of the present invention provides a method for analyzing the seepage sensitivity and dam-break warning of a tailings dam based on fracture characteristics. The joint fracture numerical characteristics are analyzed and matched with the seepage principle characteristics to determine the seepage characteristics of the initial boundary model, including:

[0093] Based on the matching of the joint fracture numerical characteristics and the seepage principle characteristics, the preliminary seepage numerical value under the joint fracture numerical characteristics is determined;

[0094] Based on the preliminary seepage numerical value, seepage characteristics are established in the initial boundary model.

[0095] The beneficial effects of the above design scheme are as follows: By matching the joint fracture numerical characteristics and the seepage principle characteristics, the preliminary seepage numerical value under the joint fracture numerical characteristics is determined, and based on the preliminary seepage numerical value, seepage characteristics are established in the initial boundary model, providing an accurate seepage information basis for the establishment of the three-dimensional boundary model.

[0096] Example 6:

[0097] Based on Example 4, an embodiment of the present invention provides a method for analyzing the seepage sensitivity and dam-break warning of a tailings pond based on fracture characteristics. Determining the grids that meet the preset boundary conditions according to the characteristic marking results of the grids, and establishing a three-dimensional boundary model of the tailings pond dam, including:

[0098] Based on the characteristic marking results of the grids, determining the unit numerical characteristics of each grid;

[0099] Comparing the unit numerical characteristics with the preset boundary conditions, and taking the grids corresponding to the unit numerical characteristics that meet the preset boundary conditions as the boundary regions;

[0100] Integrating the boundary regions to establish a three-dimensional boundary model of the tailings pond dam.

[0101] The beneficial effects of the above design are: By determining the unit numerical characteristics of each grid based on the characteristic marking results of the grids, comparing the unit numerical characteristics with the preset boundary conditions, taking the grids corresponding to the unit numerical characteristics that meet the preset boundary conditions as the boundary regions, and tightly integrating the boundary regions to establish a three-dimensional boundary model of the tailings pond dam, an accurate model basis is provided for the analysis of the seepage sensitivity and dam-break warning of the tailings pond.

[0102] Example 7:

[0103] Based on Example 1, an embodiment of the present invention provides a method for analyzing the seepage sensitivity and dam-break warning of a tailings pond based on fracture characteristics. In S3, performing numerical simulation on the three-dimensional boundary model, and determining the phreatic surface distribution and hydraulic gradient distribution of the tailings pond dam according to the numerical simulation results, including:

[0104] Designing first boundary layer parameters of different levels based on the infiltration characteristics in the three-dimensional boundary model, designing second boundary layer parameters of different levels based on the hydraulic gradient characteristics in the three-dimensional boundary model, and mutually verifying and correcting the first boundary layer parameters and the second boundary layer parameters to obtain target boundary layer parameters of different levels;

[0105] Performing multiple numerical simulations on the three-dimensional boundary model based on the target boundary layer parameters of different levels to determine the boundary seepage simulation values and boundary observation values;

[0106] Based on the boundary simulation values and boundary observation values at each different level, obtaining the infiltration numerical values and hydraulic gradient numerical values at different levels, and determining the infiltration numerical value curve and the hydraulic gradient curve;

[0107] Based on the parameter difference correlation between target boundary layer parameters of different levels, the infiltration numerical curve and the hydraulic gradient curve are corrected to obtain a target infiltration numerical curve and a target hydraulic gradient curve;

[0108] Obtain the actual boundary parameters of the three-dimensional boundary model, obtain numerical points matching the actual boundary parameters from the target infiltration numerical curve and the target hydraulic gradient curve, and determine the infiltration surface distribution and the hydraulic gradient distribution of the tailings dam body based on the numerical points.

[0109] In this embodiment, the first boundary layer parameter and the second boundary layer parameter are the designed numerical values of the water head nodes.

[0110] In this embodiment, the first boundary layer parameter and the second boundary layer parameter are mutually verified and corrected to ensure that the obtained target boundary layer parameters simultaneously satisfy the infiltration characteristics and the hydraulic gradient characteristics.

[0111] In this embodiment, the boundary observation value is the parameter dynamic condition in the three-dimensional boundary model.

[0112] The beneficial effects of the above design scheme are as follows: Through multiple numerical simulations of the three-dimensional boundary model based on target boundary layer parameters of different levels, the boundary seepage simulation values and boundary observation values are determined. Based on the boundary simulation values and boundary observation values at each different level, the infiltration numerical values and hydraulic gradient numerical values are obtained at different levels, and the infiltration numerical curve and the hydraulic gradient curve are determined. Based on the parameter difference correlation between target boundary layer parameters of different levels, the infiltration numerical curve and the hydraulic gradient curve are corrected to obtain a target infiltration numerical curve and a target hydraulic gradient curve. Obtain the actual boundary parameters of the three-dimensional boundary model, obtain numerical points matching the actual boundary parameters from the target infiltration numerical curve and the target hydraulic gradient curve, and determine the infiltration surface distribution and the hydraulic gradient distribution of the tailings dam body based on the numerical points. Through multi-case analysis and simulation, the accuracy of the determined infiltration surface distribution and hydraulic gradient distribution of the tailings dam body is ensured, providing a basis for the seepage sensitivity analysis and dam-break warning of the tailings reservoir.

[0113] Embodiment 8:

[0114] Based on Embodiment 1, an embodiment of the present invention provides a method for seepage sensitivity analysis and dam-break warning of a tailings reservoir based on fracture characteristics. In S4, based on the infiltration surface distribution and the hydraulic gradient distribution of the tailings dam body, a seepage sensitivity analysis calculation is performed on the tailings dam body to obtain a seepage calculation result, including:

[0115] Based on a preset index and a preset algorithm, a seepage sensitivity analysis calculation is performed on the tailings dam body according to the infiltration surface distribution and the hydraulic gradient distribution of the tailings dam body to obtain a calculation result under each preset index;

[0116] Based on the above calculation results, comprehensively determine the seepage calculation results of the tailings dam.

[0117] In this embodiment, the preset indicators include water head, pore pressure, position of the phreatic surface, flow velocity, and hydraulic gradient.

[0118] The beneficial effects of the above design are as follows: Through the seepage sensitivity analysis and calculation of the tailings dam based on the preset indicators and preset algorithms, according to the distribution of the phreatic surface and hydraulic gradient of the tailings dam, the calculation results under each preset indicator are obtained. Based on the above calculation results, comprehensively determine the seepage calculation results of the tailings dam, providing a numerical judgment basis for dam-break warning.

[0119] Embodiment 9:

[0120] Based on Embodiment 8, the embodiment of the present invention provides a method for seepage sensitivity analysis and dam-break warning of a tailings reservoir based on fracture characteristics. The step of comprehensively determining the seepage calculation results of the tailings dam based on the above calculation results includes:

[0121] Obtain a preset comparison table between the preset indicators and seepage sensitivity, and determine the seepage sensitivity corresponding to each calculation result based on the preset comparison table;

[0122] Based on the seepage sensitivities corresponding to all calculation results, determine the seepage calculation results of the tailings dam.

[0123] The beneficial effects of the above design are as follows: By obtaining a preset comparison table between the preset indicators and seepage sensitivity, determining the seepage sensitivity corresponding to each calculation result based on the preset comparison table, and based on the seepage sensitivities corresponding to all calculation results, determining the seepage calculation results of the tailings dam, providing a numerical judgment basis for dam-break warning.

[0124] Embodiment 10:

[0125] Based on Embodiment 1, the embodiment of the present invention provides a method for seepage sensitivity analysis and dam-break warning of a tailings reservoir based on fracture characteristics. In step S5, based on the standard results, perform dam-break judgment on various types of results of the seepage calculation results, and give warning reminders according to the dam-break judgment, including:

[0126] Obtain the water head result, pore pressure result, position of the phreatic surface, flow velocity result, and hydraulic gradient result from various types of results of the seepage calculation results;

[0127] Input the water head result, pore pressure result, position of the phreatic surface, flow velocity result, and hydraulic gradient result into the comprehensive dam-break judgment model to obtain the dam-break judgment result;

[0128] Give a warning reminder when the dam-break judgment result does not meet the standard results.

[0129] In this embodiment, the comprehensive dam-break judgment model is pre-trained based on machine learning according to the standard results.

[0130] The beneficial effects of the above design file are as follows: by judging dam-break for various types of results of the seepage calculation results based on the standard results, and giving early warning reminders according to the dam-break judgment, the accurate analysis and early warning of the stability of the tailings pond are realized, ensuring the safety of the tailings pond.

[0131] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of this application document and its equivalent technologies, the present invention also intends to include these changes and modifications.

Claims

1. A method for analyzing the seepage sensitivity of a tailings pond and warning of dam break based on fracture characteristics, characterized in that, Including: S1: Obtain the collected image of the tailings pond dam based on computer vision technology, analyze and process the collected image, and determine the joint fissure area and joint fissure characteristics; S2: Based on the joint fissure area and joint fissure characteristics, combined with the basic information of the tailings pond dam, establish a three-dimensional boundary model of the tailings pond dam; S3: Conduct numerical simulation on the three-dimensional boundary model, and determine the phreatic surface distribution and hydraulic gradient distribution of the tailings pond dam according to the numerical simulation results; S4: Conduct seepage sensitivity analysis and calculation on the tailings pond dam based on the phreatic surface distribution and hydraulic gradient distribution of the tailings pond dam to obtain the seepage calculation results; S5: Based on the standard results, conduct dam-break judgment on various types of results of the seepage calculation results, and give early warning reminders according to the dam-break judgment.

2. The seepage sensitivity analysis and dam-break warning method for tailing ponds based on fracture characteristics according to claim 1, characterized in that In S1, obtaining the collected image of the tailings pond dam based on computer vision technology includes: Establish a target tracking and shooting strategy for the tailings pond dam by a camera, and shoot the tailings pond dam according to the target tracking and shooting strategy to obtain a shot image; Establish a target detection and scanning strategy for the tailings pond dam by a scanner, and scan the tailings pond dam according to the target detection and scanning strategy to obtain a scanned image; Integrate the shot image and the scanned image to obtain the collected image of the tailings pond dam.

3. A seepage sensitivity analysis and dam-break warning method for tailing ponds based on fracture characteristics according to claim 1, characterized in that, In S1, analyzing and processing the collected image to determine the joint fissure area and joint fissure characteristics includes: Analyze the collected image based on standard geological characteristics, divide the area of the tailings pond dam to obtain different types of geological areas; Based on the standard joint fissure characteristics corresponding to different types of geological areas, identify the geological areas to obtain the joint fissure area and joint fissure characteristics.

4. A method for analyzing the seepage sensitivity and dam-break warning of a tailings pond based on fracture characteristics according to claim 1, characterized in that In S2, based on the joint fissure area and joint fissure characteristics, combined with the basic information of the tailings pond dam, establishing a three-dimensional boundary model of the tailings pond dam includes: Obtain the slope surface information and beach surface information from the tailings pond dam information as boundary information, and obtain the surrounding mountain information from the tailings pond dam information as impermeable internal information; Perform three-dimensional conversion on the boundary information and impermeable internal information to obtain three-dimensional basic information, perform three-dimensional conversion on the joint fissure area and joint fissure characteristics to obtain three-dimensional marker information, and based on the correspondence between the joint fissure area and joint fissure characteristics and the boundary information, fuse the three-dimensional basic information and three-dimensional marker information to obtain three-dimensional target information; Establish an initial three-dimensional model based on the three-dimensional target information, obtain the joint fissure numerical characteristics in the initial boundary model, analyze and match the joint fissure numerical characteristics with the seepage principle characteristics to determine the seepage characteristics of the initial boundary model; Based on the seepage characteristics, establish a three-dimensional seepage model in combination with the initial three-dimensional model, perform mesh division on the three-dimensional seepage model, analyze the phreatic characteristics and hydraulic gradient characteristics of each mesh, and perform feature marking on the mesh based on the analysis results; Determine the meshes that meet the preset boundary conditions according to the feature marking results of the meshes, and establish a three-dimensional boundary model of the tailings pond dam.

5. A method for analyzing the seepage sensitivity of a tailings pond and warning of dam break based on fracture characteristics according to claim 4, characterized in that, Analyze and match the numerical characteristics of the joint fissures with the characteristics of the seepage principle to determine the seepage characteristics of the initial boundary model, including: Based on the matching of the numerical characteristics of the joint fissures and the seepage principle characteristics, determine the preliminary seepage numerical values under the numerical characteristics of the joint fissures; Based on the preliminary seepage numerical values, establish seepage characteristics in the initial boundary model.

6. The seepage sensitivity analysis and dam-break warning method for tailings ponds based on fracture characteristics according to claim 4, wherein The method for determining the grids that meet the preset boundary conditions according to the characteristic marking results of the grids and establishing the three-dimensional boundary model of the tailings dam body includes: Based on the characteristic marking results of the grids, determine the unit numerical characteristics of each grid; Compare the unit numerical characteristics with the preset boundary conditions, and use the grids corresponding to the unit numerical characteristics that meet the preset boundary conditions as the boundary regions; Integrate the boundary regions to establish the three-dimensional boundary model of the tailings dam body.

7. A method for analyzing the seepage sensitivity and dam-break warning of a tailings pond based on fracture characteristics according to claim 1, characterized in that In step S3, perform numerical simulation on the three-dimensional boundary model, and determine the phreatic surface distribution and hydraulic gradient distribution of the tailings dam body according to the numerical simulation results, including: Design different levels of first boundary layer parameters based on the phreatic characteristics in the three-dimensional boundary model, design different levels of second boundary layer parameters based on the hydraulic gradient characteristics in the three-dimensional boundary model, and mutually verify and correct the first boundary layer parameters and the second boundary layer parameters to obtain different levels of target boundary layer parameters; Perform multiple numerical simulations on the three-dimensional boundary model based on different levels of target boundary layer parameters to determine the boundary seepage simulation values and boundary observation values; Based on the boundary simulation values and boundary observation values at each different level, obtain the infiltration numerical values and hydraulic gradient numerical values determined at different levels, and determine the infiltration numerical value curve and the hydraulic gradient curve; Based on the parameter difference correlation between different levels of target boundary layer parameters, correct the infiltration numerical value curve and the hydraulic gradient curve to obtain the target infiltration numerical value curve and the target hydraulic gradient curve; Obtain the actual boundary parameters of the three-dimensional boundary model, obtain the numerical points matching the actual boundary parameters from the target infiltration numerical value curve and the target hydraulic gradient curve, and determine the phreatic surface distribution and hydraulic gradient distribution of the tailings dam body based on the numerical points.

8. A method for analyzing the seepage sensitivity and dam-break warning of a tailings pond based on fracture characteristics according to claim 1, characterized in that In step S4, perform seepage sensitivity analysis and calculation on the tailings dam body based on the phreatic surface distribution and hydraulic gradient distribution of the tailings dam body to obtain the seepage calculation results, including: Based on the preset indicators and preset algorithms, perform seepage sensitivity analysis and calculation on the tailings dam body according to the phreatic surface distribution and hydraulic gradient distribution of the tailings dam body to obtain the calculation results under each preset indicator; Based on the calculation results, comprehensively determine the seepage calculation results for the tailings dam body.

9. A method for analyzing the seepage sensitivity and dam-break warning of a tailings pond based on fracture characteristics according to claim 8, characterized in that The comprehensive determination of the seepage calculation results for the tailings dam body based on the calculation results includes: Obtain the preset comparison table between the preset indicators and the seepage sensitivity, and determine the seepage sensitivity corresponding to each calculation result based on the preset comparison table; Based on the seepage sensitivities corresponding to all the calculation results, determine the seepage calculation results for the tailings dam body.

10. A method for analyzing the seepage sensitivity and dam-break warning of a tailings pond based on fracture characteristics according to claim 1, characterized in that In step S5, based on the standard results, perform dam-break judgment on various types of results of the seepage calculation results, and give early warning reminders according to the dam-break judgment, including: Obtain the head result, pore pressure result, position of the phreatic surface, velocity result, and hydraulic gradient result from various types of results of the seepage calculation; Input the head result, pore pressure result, position of the phreatic surface, velocity result, and hydraulic gradient result into the comprehensive dam-break judgment model to obtain the dam-break judgment result; Give a warning reminder when the dam-break judgment result does not meet the standard result.

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