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

Abstract

The application provides a tailing pond seepage sensitivity analysis and dam break early warning method based on fissure characteristics, acquires collection images of a tailing pond dam body based on a computer vision technology, analyzes and processes the collection images, determines joint fissure regions and joint fissure characteristics, realizes accurate acquisition of tailing pond joint fissure characteristics, provides accurate data basis for tailing pond seepage sensitivity, determines the saturation surface distribution and the hydraulic gradient distribution of the tailing pond dam body based on the joint fissure regions and the joint fissure characteristics, performs seepage sensitivity analysis and calculation on the tailing pond dam body, obtains seepage calculation results, performs dam break judgment on each type of result based on standard results, performs early warning and reminding according to the dam break judgment, realizes accurate analysis and early warning of the stability of the tailing pond, and ensures the safety of the tailing pond.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of tailings pond, and particularly relates to a tailings pond seepage sensitivity analysis and dam break early warning method based on fissure characteristics. BACKGROUND

[0002] With the increasing of the engineering scale of tailings pond, the seepage stability of tailings pond becomes an important problem of engineering safety and sustainable development. As an important part of mine production, the safety and stability of tailings pond are directly related to the safety of mine production and environmental protection. However, in the operation process of tailings pond, the problem of slope crack occurs from time to time, which seriously threatens the safety and stability of tailings pond. Fissure characteristic analysis is one of the key steps to evaluate the seepage stability of tailings pond, which can help engineers understand and evaluate the influence of different fissure characteristics on the seepage stability of tailings pond, so as to guide the design and implementation of more reasonable measures to ensure the safety of tailings pond.

[0003] How to accurately analyze the stability of tailings pond based on fissure characteristics becomes an important problem to be solved. SUMMARY

[0004] The present application provides a tailings pond seepage sensitivity analysis and dam break early warning method based on fissure characteristics to solve the problem proposed in the background.

[0005] A tailings pond seepage sensitivity analysis and dam break early warning method based on fissure characteristics, comprising:

[0006] S1: acquiring the collection image of the tailings pond dam body based on computer vision technology, and analyzing and processing the collection image to determine the joint fissure area and joint fissure characteristics;

[0007] S2: based on the joint fissure area and joint fissure characteristics, combining the basic information of the tailings pond dam body, establishing a three-dimensional boundary model of the tailings pond dam body;

[0008] S3: numerical simulation is performed on the three-dimensional boundary model, and the saturation distribution and hydraulic gradient distribution of the tailings pond dam body are determined according to the numerical simulation results;

[0009] S4: based on the saturation distribution and hydraulic gradient distribution of the tailings pond dam body, the seepage sensitivity of the tailings pond dam body is calculated to obtain the seepage calculation results;

[0010] S5: based on the standard results, the dam break judgment is performed on each type of result of the seepage calculation results, and the warning is reminded according to the dam break judgment.

[0011] Preferably, in S1, the collection image of the tailings pond dam body is acquired based on computer vision technology, comprising:

[0012] A camera is used to establish a target tracking shooting strategy for the tailings dam body, the tailings dam body is shot according to the target tracking shooting strategy, and a shooting image is obtained;

[0013] A scanner is used to establish a target detection scanning strategy for the tailings dam body, the tailings dam body is scanned according to the target detection scanning strategy, and a scanning image is obtained;

[0014] The shooting image and the scanning image are integrated to obtain a collection image of the tailings dam body.

[0015] Preferably, in S1, the collection image is analyzed and processed to determine the joint fissure region and the joint fissure feature, including:

[0016] Based on the standard geological features, the collection image is analyzed, the tailings dam body is regionally divided, and different types of geological regions are obtained;

[0017] Based on the standard joint fissure features corresponding to the different types of address regions, the geological regions are identified to obtain the joint fissure region and the joint fissure feature.

[0018] Preferably, in S2, based on the joint fissure region and the joint fissure feature, combined with the basic information of the tailings dam body, a three-dimensional boundary model of the tailings dam body is established, including:

[0019] The slope surface information and the beach surface information are obtained from the tailings dam body information as boundary information, and the surrounding mountain information is obtained from the tailings dam body information as impermeable internal information;

[0020] The boundary information and the impermeable internal information are three-dimensionally converted to obtain three-dimensional basic information, the joint fissure region and the joint fissure feature are three-dimensionally converted to obtain three-dimensional marking information, and the three-dimensional basic information and the three-dimensional marking information are fused based on the corresponding relationship between the joint fissure region and the joint fissure feature and the boundary information to obtain three-dimensional target information;

[0021] Based on the three-dimensional target information, an initial three-dimensional model is established, the joint fissure numerical features in the initial boundary model are obtained, the joint fissure numerical features are analyzed and matched with the seepage principle features to determine the seepage features of the initial boundary model;

[0022] Based on the seepage features, a three-dimensional seepage model is established combined with the initial three-dimensional model, and the three-dimensional seepage model is meshed, the infiltration features and the hydraulic gradient features of each mesh are analyzed, and the meshes are feature-labeled based on the analysis results;

[0023] According to the feature labeling results of the meshes, the meshes satisfying the preset boundary conditions are determined, and a three-dimensional boundary model of the tailings dam body is established.

[0024] Preferably, the numerical characteristics of the joints and fissures are analyzed and matched with the characteristics of the seepage principle to determine the seepage characteristics of the initial boundary model, including:

[0025] Based on the matching of joint and fissure numerical characteristics with seepage principle characteristics, the preliminary seepage value under the joint and fissure numerical characteristics is determined;

[0026] Based on the preliminary seepage values, seepage characteristics are established in the initial boundary model.

[0027] Preferably, the step of determining the mesh that satisfies the preset boundary conditions based on the feature marking results of the mesh, and establishing a three-dimensional boundary model of the tailings dam body, includes:

[0028] Based on the feature labeling results of the grid, the cell numerical characteristics of each grid are determined;

[0029] The unit numerical features are compared with preset boundary conditions, and the grid corresponding to the unit numerical features that satisfy the preset boundary conditions is taken as the boundary region.

[0030] A three-dimensional boundary model of the tailings dam body is established by integrating the boundary areas.

[0031] Preferably, in step S3, numerical simulation is performed on the three-dimensional boundary model, and the distribution of the phreatic surface and hydraulic gradient of the tailings dam body is determined based on the numerical simulation results, including:

[0032] Based on the infiltration characteristics in the three-dimensional boundary model, different levels of first boundary layer parameters are designed, and based on the hydraulic gradient characteristics in the three-dimensional boundary model, different levels of second boundary layer parameters are designed. The first and second boundary layer parameters are mutually verified and corrected to obtain target boundary layer parameters of different levels.

[0033] Multiple numerical simulations were performed on the three-dimensional boundary model based on target boundary layer parameters of different levels to determine the simulated boundary seepage values ​​and observed boundary values.

[0034] Based on the boundary simulation values ​​and boundary observation values ​​at each different level, we obtain the infiltration values ​​and hydraulic gradient values ​​at different levels, and determine the infiltration value curves and hydraulic gradient curves.

[0035] Based on the parameter difference correlation between target boundary layer parameters of different levels, the infiltration numerical curve and hydraulic gradient curve are corrected to obtain the target infiltration numerical curve and target hydraulic gradient curve.

[0036] Acquiring actual boundary parameters of the three-dimensional boundary model, acquiring numerical points matching the actual boundary parameters from a target saturation numerical curve and a target hydraulic gradient curve, and determining a saturation distribution and a hydraulic gradient distribution of the tailing dam body based on the numerical points.

[0037] Preferably, in S4, a seepage sensitivity analysis and calculation are performed on the tailing dam body based on the saturation distribution and the hydraulic gradient distribution of the tailing dam body, and a seepage calculation result is obtained, including:

[0038] Based on a preset index and a preset algorithm, a seepage sensitivity analysis and calculation are performed on the tailing dam body based on the saturation distribution and the hydraulic gradient distribution of the tailing dam body, and a calculation result under each preset index is obtained.

[0039] Based on the calculation result, a seepage calculation result of the tailing dam body is comprehensively determined.

[0040] Preferably, the seepage calculation result of the tailing dam body is comprehensively determined based on the calculation result, including:

[0041] A preset comparison table between preset indexes and seepage sensitivities is acquired, and a seepage sensitivity corresponding to each calculation result is determined based on the preset comparison table.

[0042] Based on the seepage sensitivities corresponding to all the calculation results, a seepage calculation result of the tailing dam body is determined.

[0043] Preferably, in S5, based on the standard result, a dam-break judgment is performed on each type of result of the seepage calculation result, and a pre-warning is given according to the dam-break judgment, including:

[0044] A water head result, a pore pressure result, a saturation surface position, a flow velocity result and a hydraulic gradient result are acquired from each type of result of the seepage calculation result.

[0045] The water head result, the pore pressure result, the saturation surface position, the flow velocity result and the hydraulic gradient result are input into a comprehensive dam-break judgment model to obtain a dam-break judgment result.

[0046] When the dam-break judgment result does not satisfy the standard result, a pre-warning is given.

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

[0048] The tailing pond dam body is acquired by computer vision technology, and the collected images are analyzed and processed to determine the joint fissure region and joint fissure characteristics, so that the joint fissure characteristics of the tailing pond are accurately acquired, accurate data basis is provided for tailing pond seepage sensitivity, the joint fissure region and joint fissure characteristics are used to determine the saturation surface distribution and hydraulic gradient distribution of the tailing pond dam body, and the seepage sensitivity of the tailing pond dam body is analyzed and calculated to obtain seepage calculation results, the seepage calculation results are judged for each type of result based on the standard results, early warning is reminded according to the dam break judgment, the stability of the tailing pond is accurately analyzed and early warning is realized, and the safety of the tailing pond is ensured.

[0049] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent to those skilled in the art from the description, or can be learned by practice of the application. The objects and other advantages of the present application can be realized and attained by the structure particularly pointed out in the written description and claims hereof.

[0050] The technical solutions of the present application will be further described in detail below with the help of the drawings and examples. BRIEF DESCRIPTION OF DRAWINGS

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

[0052] Figure 1 The flow chart of the tailing pond seepage sensitivity analysis and dam break early warning method based on fissure characteristics in the embodiments of the present application is shown in the figure.

[0053] Figure 2 The flow chart of the collected images of the tailing pond dam body in the embodiments of the present application is shown in the figure.

[0054] Figure 3 The flow chart of the determination of the joint fissure region and joint fissure characteristics in the embodiments of the present application is shown in the figure. DETAILED DESCRIPTION

[0055] The preferred embodiments of the present application will be described below in conjunction with the drawings, and it should be understood that the preferred embodiments described herein are only used to illustrate and explain the present application, and do not limit the present application.

[0056] Example 1:

[0057] The embodiments of the present application provide a tailing pond seepage sensitivity analysis and dam break early warning method based on fissure characteristics, as shown in the figure, which comprises: Figure 1

[0058] ​S1: Obtain a collection image of a tailings dam body based on computer vision technology, and analyze and process the collection image to determine a joint fissure region and joint fissure characteristics;

[0059] S2: Based on the joint fissure region and joint fissure characteristics, combined with basic information of the tailings dam body, a three-dimensional boundary model of the tailings dam body is established;

[0060] S3: Numerical simulation is performed on the three-dimensional boundary model, and the distribution of the wetting surface and the distribution of the hydraulic gradient of the tailings dam body are determined according to the numerical simulation results;

[0061] S4: Based on the distribution of the wetting surface and the distribution of the hydraulic gradient of the tailings dam body, a seepage sensitivity analysis and calculation of the tailings dam body is performed to obtain seepage calculation results;

[0062] S5: Based on the standard results, each type of result of the seepage calculation results is judged for dam break, and a warning is given according to the dam break judgment.

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

[0064] In this embodiment, the analysis and processing of the collection image to determine the joint fissure region and the joint fissure characteristics includes image conversion, feature recognition, image segmentation, etc.

[0065] In this embodiment, the physical meaning of the hydraulic gradient is the water head loss per unit seepage length. In the study of 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 wetting surface in the tailings dam body and the deposition beach has a great influence on the safety of the tailings dam, and most of the dam break accidents of tailings dams are directly related to the over-high wetting surface of the dam body.

[0067] In this embodiment, seepage is prone to occur in the boundary characteristics of the three-dimensional boundary model exceeding the preset boundary conditions.

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

[0069] In this embodiment, each type of result includes water head results, pore pressure results, wetting surface positions, flow velocity results, and hydraulic gradient results.

[0070] The beneficial effects of the above design scheme are: through computer vision technology to obtain the collection image of the tailing dam body, and analyzing and processing the collection image, the joint fissure area and the joint fissure characteristics are determined, the accurate acquisition of the tailing dam joint fissure characteristics is realized, the accurate data basis for the tailing dam seepage sensitivity is provided, the seepage surface distribution and the hydraulic gradient distribution of the tailing dam body are determined based on the joint fissure area and the joint fissure characteristics, and the seepage sensitivity analysis and calculation of the tailing dam body are carried out, the seepage calculation result is obtained, based on the standard result, the seepage calculation result is judged for each type of result, the early warning is reminded according to the dam break judgment, the precise analysis and early warning of the tailing dam stability are realized, and the safety of the tailing dam is ensured.

[0071] Embodiment 2

[0072] Based on the basis of embodiment 1, the present embodiment provides a tailing dam seepage sensitivity analysis and dam break early warning method based on fissure characteristics, as shown in Figure 2 In S1, the collection image of the tailing dam body is obtained based on computer vision technology, which includes:

[0073] A camera is established to track and shoot the target of the tailing dam body, and the tailing dam body is shot according to the target tracking and shooting strategy to obtain a shooting image;

[0074] A scanner is established to detect and scan the target of the tailing dam body, and the tailing dam body is scanned according to the target detection and scanning strategy to obtain a scanning image;

[0075] The shooting image and the scanning image are integrated to obtain the collection image of the tailing dam body.

[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 scheme are: through establishing the target tracking and shooting strategy of the camera for the tailing dam body, shooting the tailing dam body according to the target tracking and shooting strategy to obtain a shooting image, establishing the target detection and scanning strategy of the scanner for the tailing dam body, scanning the tailing dam body according to the target detection and scanning strategy to obtain a scanning image, and integrating the shooting image and the scanning image to obtain the collection image of the tailing dam body, the multi-source data collection and integration of the tailing dam body are realized, and the accuracy and comprehensiveness of the collection image are ensured, which provides a basis for determining the joint fissure area and the joint fissure characteristics.

[0078] Embodiment 3

[0079] Based on the basis of embodiment 1, the embodiment of the application provides a tailing pond seepage sensitivity analysis and dam break early warning method based on fracture characteristics, as shown in Figure 3 As shown in S1, the collected images are analyzed and processed to determine the joint fracture region and joint fracture characteristics, including:

[0080] Based on the analysis of the collected images based on standard geological characteristics, the tailing pond dam body is regionally divided to obtain different types of geological regions;

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

[0082] The beneficial effects of the above design scheme are: by analyzing the collected images based on standard geological characteristics, the tailing pond dam body is regionally divided to obtain different types of geological regions, based on the standard joint fracture characteristics corresponding to the different types of address regions, the geological regions are identified to obtain the joint fracture region and joint fracture characteristics, the accurate acquisition of the tailing pond joint fracture characteristics is realized, and accurate data basis is provided for the tailing pond seepage sensitivity.

[0083] Embodiment 4:

[0084] Based on the basis of embodiment 1, the embodiment of the application provides a tailing pond seepage sensitivity analysis and dam break early warning method based on fracture characteristics, S2, based on the joint fracture region and joint fracture characteristics, combined with the basic information of the tailing pond dam body, a three-dimensional boundary model of the tailing pond dam body is established, including:

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

[0086] The boundary information and impermeable internal information are three-dimensionally converted to obtain three-dimensional basic information, the joint fracture region and joint fracture characteristics are three-dimensionally converted to obtain three-dimensional marking information, and based on the corresponding relationship between the joint fracture region 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] 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;

[0088] establish a three-dimensional seepage model based on the seepage characteristics and the initial three-dimensional model, and perform mesh division on the three-dimensional seepage model, analyze the infiltration characteristics and the hydraulic gradient characteristics of each mesh, and mark the mesh based on the analysis result;

[0089] Determine the mesh satisfying the preset boundary condition according to the marking result of the mesh, and establish a three-dimensional boundary model of the tailings dam body.

[0090] The beneficial effects of the above design scheme are: the slope surface information and the beach surface information are obtained from the tailings dam body information as boundary information, the surrounding mountain information is obtained from the tailings dam body information as impermeable internal information, the boundary information and the impermeable internal information are three-dimensionally converted to obtain three-dimensional basic information, the joint fissure region and the joint fissure characteristics are three-dimensionally converted to obtain three-dimensional marking information, and the three-dimensional basic information and the three-dimensional marking information are fused based on the correspondence between the joint fissure region and the joint fissure characteristics and the boundary information to obtain three-dimensional target information, which provides accurate basic information for model establishment, the initial three-dimensional model is established based on the three-dimensional target information, the joint fissure numerical characteristics in the initial boundary model are obtained, the joint fissure numerical characteristics and the seepage principle characteristics are analyzed and matched to determine the seepage characteristics of the initial boundary model, a three-dimensional seepage model is established based on the seepage characteristics and the initial three-dimensional model, and mesh division is performed on the three-dimensional seepage model, the infiltration characteristics and the hydraulic gradient characteristics of each mesh are analyzed, and the mesh is marked based on the analysis result, and the mesh satisfying the preset boundary condition is determined according to the marking result of the mesh, and a three-dimensional boundary model of the tailings dam body is established, thereby ensuring the accuracy and comprehensiveness of the obtained three-dimensional boundary model.

[0091] Embodiment 5:

[0092] Based on the basis of embodiment 4, the tailings dam seepage sensitivity analysis and dam break early warning method based on fissure characteristics is provided, the joint fissure numerical characteristics and the seepage principle characteristics are analyzed and matched to determine the seepage characteristics of the initial boundary model, which includes:

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

[0094] Based on the preliminary seepage value, a seepage characteristic is established in the initial boundary model.

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

[0096] Embodiment 6:

[0097] Based on the basis of embodiment 4, the embodiment of the application provides a tailing pond seepage sensitivity analysis and dam break early warning method based on fissure characteristics, the grid satisfying the preset boundary condition is determined according to the feature marking result of the grid, and a three-dimensional boundary model of the tailing pond dam body is established, comprising:

[0098] Based on the feature marking result of the grid, the unit numerical characteristics of each grid are determined;

[0099] The unit numerical characteristics are compared with the preset boundary condition, and the grid corresponding to the unit numerical characteristics satisfying the preset boundary condition is taken as a boundary region;

[0100] The boundary region is integrated to establish a three-dimensional boundary model of the tailing pond dam body.

[0101] The beneficial effects of the above design scheme are: based on the feature marking result of the grid, the unit numerical characteristics of each grid are determined, the unit numerical characteristics are compared with the preset boundary condition, the grid corresponding to the unit numerical characteristics satisfying the preset boundary condition is taken as a boundary region, the boundary region is integrated to establish a three-dimensional boundary model of the tailing pond dam body, and the tailing pond seepage sensitivity analysis and dam break early warning provide an accurate model basis.

[0102] Embodiment 7:

[0103] Based on the basis of embodiment 1, the embodiment of the application provides a tailing pond seepage sensitivity analysis and dam break early warning method based on fissure characteristics, in S3, the three-dimensional boundary model is numerically simulated, the saturation surface distribution and the hydraulic gradient distribution of the tailing pond dam body are determined according to the numerical simulation result, comprising:

[0104] Different levels of first boundary layer parameters are designed based on the saturation characteristics in the three-dimensional boundary model, different levels of second boundary layer parameters are designed based on the hydraulic gradient characteristics in the three-dimensional boundary model, the first boundary layer parameters and the second boundary layer parameters are mutually verified and corrected to obtain target boundary layer parameters of different levels;

[0105] Based on the target boundary layer parameters of different levels, the three-dimensional boundary model is numerically simulated for multiple times to determine boundary seepage simulation values and boundary observation values;

[0106] Based on the boundary simulation values and the boundary observation values at each different level, the saturation numerical values and the hydraulic gradient numerical values at different levels are obtained, and the saturation value curve and the hydraulic gradient curve are determined;

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

[0108] Actual boundary parameters of the three-dimensional boundary model are obtained, and a numerical point matched with the actual boundary parameters is obtained from the target infiltration numerical curve and the target hydraulic gradient curve, and the distribution of the infiltration surface and the hydraulic gradient of the tailing dam body are determined based on the numerical point.

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

[0110] In this embodiment, the mutual verification and correction of the first boundary layer parameter and the second boundary layer parameter ensure that the obtained target boundary layer parameters meet the infiltration characteristics and the hydraulic gradient characteristics at the same time.

[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 value and the boundary observation value are determined, the infiltration numerical value and the hydraulic gradient numerical value are determined under different levels based on the boundary simulation value and the boundary observation value under each different level, the infiltration numerical curve and the hydraulic gradient curve are determined, the infiltration numerical curve and the hydraulic gradient curve are corrected based on the parameter difference correlation between the target boundary layer parameters of different levels, to obtain a target infiltration numerical curve and a target hydraulic gradient curve, actual boundary parameters of the three-dimensional boundary model are obtained, a numerical point matched with the actual boundary parameters is obtained from the target infiltration numerical curve and the target hydraulic gradient curve, and the distribution of the infiltration surface and the hydraulic gradient of the tailing dam body are determined based on the numerical point, through multiple situation analysis simulations, the accuracy of the distribution of the infiltration surface and the hydraulic gradient of the tailing dam body is ensured, and a basis is provided for tailing dam seepage sensitivity analysis and dam break early warning.

[0113] Embodiment 8:

[0114] Based on the basis of embodiment 1, the present embodiment provides a tailing dam seepage sensitivity analysis and dam break early warning method based on fissure characteristics, and in S4, the tailing dam body is subjected to seepage sensitivity analysis and calculation based on the distribution of the infiltration surface and the hydraulic gradient of the tailing dam body, to obtain a seepage calculation result, including:

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

[0116] determine the seepage calculation result of the tailings dam body based on the calculation results.

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

[0118] The beneficial effects of the above design scheme are: through seepage sensitivity analysis and calculation of the tailings dam body based on the preset indexes and the preset algorithm according to the saturation surface distribution and the hydraulic gradient distribution of the tailings dam body, the calculation results under each preset index are obtained, and the seepage calculation result of the tailings dam body is determined based on the calculation results, thereby providing a numerical judgment basis for dam break early warning.

[0119] Embodiment 9:

[0120] Based on the basis of embodiment 8, the embodiment of the application provides a tailings dam seepage sensitivity analysis and dam break early warning method based on fracture characteristics, and the seepage calculation result of the tailings dam body is determined based on the calculation results, which comprises:

[0121] obtaining a preset comparison table between preset indexes and seepage sensitivity, and determining the seepage sensitivity corresponding to each calculation result based on the preset comparison table;

[0122] determining the seepage calculation result of the tailings dam body based on the seepage sensitivity corresponding to all calculation results.

[0123] The beneficial effects of the above design scheme are: through obtaining a preset comparison table between preset indexes and seepage sensitivity, and determining the seepage sensitivity corresponding to each calculation result based on the preset comparison table, and determining the seepage calculation result of the tailings dam body based on the seepage sensitivity corresponding to all calculation results, thereby providing a numerical judgment basis for dam break early warning.

[0124] Embodiment 10:

[0125] Based on the basis of embodiment 1, the embodiment of the application provides a tailings dam seepage sensitivity analysis and dam break early warning method based on fracture characteristics, and in S5, based on the standard result, the dam break judgment is performed on each type of result of the seepage calculation result, and the early warning is reminded according to the dam break judgment, which comprises:

[0126] obtaining water head result, pore pressure result, saturation surface position, flow velocity result and hydraulic gradient result from each type of result of the seepage calculation result;

[0127] inputting the water head result, the pore pressure result, the saturation surface position, the flow velocity result and the hydraulic gradient result into a comprehensive dam break judgment model to obtain a dam break judgment result;

[0128] when the dam break judgment result does not satisfy the standard result, the early warning is reminded.

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

[0130] The beneficial effects of the design archive are: through the dam-break judgment of each type of result of the seepage calculation result based on the standard result, the pre-warning is reminded according to the dam-break judgment, the precise analysis and pre-warning of the tailing pond stability are realized, and the safety of the tailing pond is ensured.

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

Claims

1. A method for tailings dam seepage sensitivity analysis and dam failure early warning based on fracture characteristics, characterized in that, include: S1: Acquire images of the tailings dam body based on computer vision technology, and analyze and process the acquired images to determine the joint and fracture regions and joint and fracture characteristics; S2: Based on the joint and fracture regions and joint and fracture characteristics, and combined with the basic information of the tailings dam body, establish a three-dimensional boundary model of the tailings dam body, including: Slope and beach information are obtained from tailings dam information as boundary information, and surrounding mountain information is obtained from tailings dam information as impermeable interior information. The boundary information and impermeable interior information are transformed into three dimensions to obtain three-dimensional basic information. The joint and fissure regions and joint and fissure features are transformed into three dimensions to obtain three-dimensional marker information. Based on the correspondence between the joint and fissure regions and joint and fissure features and the boundary information, the three-dimensional basic information and the three-dimensional marker information are fused to obtain three-dimensional target information. An initial three-dimensional model is established based on the three-dimensional target information. The numerical characteristics of joints and fissures in the initial three-dimensional model are obtained. The numerical characteristics of joints and fissures are analyzed and matched with the seepage principle characteristics to determine the seepage characteristics of the initial three-dimensional model. Based on the seepage characteristics and the initial three-dimensional model, a three-dimensional seepage model is established, and the three-dimensional seepage model is divided into grids. The wetting characteristics and hydraulic gradient characteristics of each grid are analyzed, and the grids are marked with features based on the analysis results. Based on the feature marking results of the mesh, a three-dimensional boundary model of the tailings dam body is established by determining the mesh that satisfies the preset boundary conditions. S3: Perform numerical simulation on the three-dimensional boundary model, and determine the distribution of the phreatic surface and hydraulic gradient of the tailings dam body based on the numerical simulation results, including: Based on the infiltration characteristics in the three-dimensional boundary model, different levels of first boundary layer parameters are designed, and based on the hydraulic gradient characteristics in the three-dimensional boundary model, different levels of second boundary layer parameters are designed. The first and second boundary layer parameters are mutually verified and corrected to obtain target boundary layer parameters of different levels. Multiple numerical simulations were performed on the three-dimensional boundary model based on target boundary layer parameters of different levels to determine the simulated boundary seepage values ​​and observed boundary values. Based on the boundary simulation values ​​and boundary observation values ​​at each different level, we obtain the infiltration values ​​and hydraulic gradient values ​​at different levels, and determine the infiltration value curves and hydraulic gradient curves. Based on the parameter difference correlation between target boundary layer parameters of different levels, the infiltration numerical curve and hydraulic gradient curve are corrected to obtain the target infiltration numerical curve and target hydraulic gradient curve. Obtain the actual boundary parameters of the three-dimensional boundary model, obtain the numerical points that match 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 body based on the numerical points; S4: Based on the distribution of the phreatic surface and hydraulic gradient of the tailings dam body, a seepage sensitivity analysis was performed on the tailings dam body to obtain the seepage calculation results; S5: Based on standard results, perform dam failure judgment on various types of seepage calculation results, and issue early warnings based on the dam failure judgment.

2. The tailings dam seepage sensitivity analysis and dam failure early warning method based on fracture characteristics according to claim 1, characterized in that, In step S1, acquiring images of the tailings dam body based on computer vision technology includes: Establish a target tracking and shooting strategy for the tailings dam body using a camera, and shoot the tailings dam body according to the target tracking and shooting strategy to obtain the captured images; Establish a target detection scanning strategy for the tailings dam body using a scanner, and scan the tailings dam body according to the target detection scanning strategy to obtain scanned images; The captured images and scanned images are integrated to obtain the acquired images of the tailings dam body.

3. The tailings dam seepage sensitivity analysis and dam failure early warning method based on fracture characteristics according to claim 1, characterized in that, In step S1, the acquired image is analyzed and processed to determine the joint and fracture regions and joint and fracture characteristics, including: Based on standard geological features, the acquired images are analyzed, and the tailings dam body is divided into different regions to obtain different types of geological regions. Based on the standard joint and fracture characteristics corresponding to different types of geological regions, the geological regions are identified to obtain joint and fracture regions and joint and fracture characteristics.

4. The tailings dam seepage sensitivity analysis and dam failure early warning method based on fracture characteristics according to claim 1, characterized in that, The numerical characteristics of the joints and fissures are analyzed and matched with the characteristics of the seepage principle to determine the seepage characteristics of the initial boundary model, including: Based on the matching of joint and fissure numerical characteristics with seepage principle characteristics, the preliminary seepage value under the joint and fissure numerical characteristics is determined; Based on the preliminary seepage values, seepage characteristics are established in the initial boundary model.

5. The tailings dam seepage sensitivity analysis and dam failure early warning method based on fracture characteristics according to claim 1, characterized in that, The step of establishing a three-dimensional boundary model of the tailings dam body based on the determination of the mesh that satisfies the preset boundary conditions according to the feature marking results of the mesh includes: Based on the feature labeling results of the grid, the cell numerical characteristics of each grid are determined; The unit numerical features are compared with preset boundary conditions, and the grid corresponding to the unit numerical features that satisfy the preset boundary conditions is taken as the boundary region. A three-dimensional boundary model of the tailings dam body is established by integrating the boundary areas.

6. The tailings dam seepage sensitivity analysis and dam failure early warning method based on fracture characteristics according to claim 1, characterized in that, In step S4, a seepage sensitivity analysis is performed on the tailings dam body based on the distribution of the wetting surface and the hydraulic gradient, yielding seepage calculation results, including: Based on preset indicators and algorithms, seepage sensitivity analysis of the tailings dam body is performed according to the distribution of the phreatic surface and hydraulic gradient of the tailings dam body, and the calculation results are obtained under each preset indicator. Based on the calculation results, the seepage calculation results for the tailings dam body are determined comprehensively.

7. The tailings dam seepage sensitivity analysis and dam failure early warning method based on fracture characteristics according to claim 6, characterized in that, The comprehensive determination of seepage calculation results for the tailings dam body based on the calculation results includes: Obtain a preset comparison table between preset indicators and seepage sensitivity, and determine the seepage sensitivity corresponding to each calculation result based on the preset comparison table; Based on the seepage sensitivity corresponding to all calculation results, the seepage calculation results for the tailings dam body are determined.

8. The tailings dam seepage sensitivity analysis and dam failure early warning method based on fracture characteristics according to claim 1, characterized in that, In step S5, based on standard results, dam failure judgments are made for various types of seepage calculation results, and early warnings are issued based on the dam failure judgments, including: Obtain the head, pore pressure, wetting surface location, flow velocity, and hydraulic gradient results from various types of results in the seepage calculation; Input the head, pore pressure, wetting surface location, flow velocity, and hydraulic gradient results into the integrated dam break judgment model to obtain the dam break judgment result. An early warning will be issued when the dam failure assessment result does not meet the standard result.

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