Assistant decision-making method, device and equipment for full-tailing high-concentration filling slurry ratio

Abstract

The invention discloses an auxiliary decision-making method, device and equipment for the proportion of full-tailing high-concentration filling slurry, relates to the technical field of filling mining, and can meet the filling performance requirement, realize the maximization of tailing filling utilization and the minimization of the cost of the filling slurry and improve the flexibility of preparation of the full-tailing high-concentration filling slurry. The method comprises the steps that tailing independent variables and tailing dependent variables influencing the filling effect are obtained, and the tailing independent variables comprise the adding amount of different components in full-tailing high-concentration filling slurry obtained based on granular full tailings and the concentration of the full-tailing high-concentration filling slurry; establishing a function relationship between the tailing independent variable and the tailing dependent variable; and solving the tailing independent variables of the function relationship according to a pre-constructed decision model of the full-tailing high-concentration filling slurry ratio to obtain the full-tailing high-concentration filling slurry ratio suitable for different filling mining methods.

Description

Technical Field

[0001] The present application relates to the technical field of filling mining, and in particular to an auxiliary decision-making method, device and equipment for the proportion of full tailings high-concentration filling slurry. Background Art

[0002] Backfill mining refers to a mining method that uses backfill materials to fill the mining area while ore is dropped, transported, and other operations are performed. The purpose of backfilling is to support the rocks on both sides of the goaf and create conditions for continued mining. It is suitable for mining where the mine and surrounding rock are unstable and do not allow for large exposed surfaces, or where the surface needs to be protected, rare precious metals, high-grade deposits, or deposits with complex occurrence conditions, etc.

[0003] In the related technology, the whole tailings high-concentration filling slurry prepared by the whole tailings cementation filling technology is mainly used to realize filling mining. The specific whole tailings filling process includes the following processes: tailings thickening, filling material preparation, filling material slurry transportation, and filling material hardening in the mining area. Considering that whole tailings of different particle sizes have different characteristics, the whole tailings filling process is affected to a certain extent by the ratio of the whole tailings high-concentration filling slurry. In other words, the ratio of the whole tailings high-concentration filling slurry will affect the whole tailings filling effect. However, as the tailings used for mine filling gradually tend to be ultra-fine and extremely fine, the sedimentation rate of fine-grained tailings is slow. Within the same sedimentation time, even if flocculants are added, the slurry bottom flow concentration is low, and the prepared filling slurry concentration is low, so that the whole tailings high-concentration filling slurry prepared by the whole tailings cementation filling technology cannot meet the filling performance, and it is difficult to achieve the requirement of maximizing the utilization of the whole tailings filling. Summary of the invention

[0004] In view of this, the present application provides an auxiliary decision-making method, device and equipment for the ratio of high-concentration filling slurry of whole tailings. The main purpose is to solve the problem that the high-concentration filling slurry of whole tailings prepared by the whole tailings cementation filling technology in the prior art cannot meet the filling performance and it is difficult to achieve the requirement of maximizing the filling utilization of whole tailings.

[0005] According to a first aspect of the present application, a method for assisting decision making of the proportion of full tailings high-concentration filling slurry is provided, comprising:

[0006] Obtain tailings independent variables and tailings dependent variables that affect the filling effect, wherein the tailings independent variables include the addition amounts of different components in the full tailings high-concentration filling slurry obtained based on the granular full tailings and the concentration of the full tailings high-concentration filling slurry, and the tailings dependent variable is the tailings independent variable obtained through an orthogonal test of the full tailings high-concentration filling characteristics;

[0007] Establishing a functional relationship between the tailings independent variable and the tailings dependent variable;

[0008] The tailings independent variable of the functional relationship is solved according to the pre-constructed decision model of the whole tailings high-concentration filling slurry ratio to obtain the whole tailings high-concentration filling slurry ratio suitable for different filling mining methods.

[0009] Furthermore, the acquisition of tailings independent variables and tailings dependent variables that affect the filling effect specifically includes:

[0010] The granular whole tailings with different gradations are applied to the whole tailings high-concentration filling slurry, and the addition amount of different components in the whole tailings high-concentration filling slurry and the concentration of the whole tailings high-concentration filling slurry are determined to obtain the tailings independent variables that affect the filling effect;

[0011] An orthogonal test of the high-concentration filling characteristics of full tailings is carried out based on the tailings independent variables that affect the filling effect, and the tailings dependent variables that affect the filling effect are determined based on the results of the orthogonal test.

[0012] Furthermore, the orthogonal test of the high-concentration filling characteristics of the whole tailings is carried out according to the tailings independent variable affecting the filling effect, and the tailings dependent variable affecting the filling effect is determined based on the result of the orthogonal test, which specifically includes:

[0013] Taking the tailings independent variable affecting the filling effect as the test influencing factor, the test influencing factors are combined at different levels by using a pre-set orthogonal table to obtain test influencing factors of different level combinations;

[0014] Carry out orthogonal test of high-concentration filling characteristics of full tailings according to the experimental influencing factors of different levels of combination, so as to obtain the influence of the experimental influencing factors of different levels of combination on the results of orthogonal test;

[0015] According to the influence of the experimental influencing factors of different level combinations on the orthogonal test results, the tailings dependent variable affecting the filling effect is determined.

[0016] Furthermore, the establishment of the functional relationship between the tailings independent variable and the tailings dependent variable specifically includes:

[0017] Based on genetic programming, the tailings independent variable and the tailings dependent variable are constructed into intelligent genetic trees with different topological structures;

[0018] A suitable one is selected from the intelligent genetic trees with different topological structures to establish a functional relationship between the tailings independent variable and the tailings dependent variable.

[0019] Furthermore, before solving the tailings independent variable of the functional relationship according to the pre-constructed decision model for the high-concentration filling slurry ratio of the whole tailings to obtain the high-concentration filling slurry ratio of the whole tailings suitable for different filling mining methods, the method further includes:

[0020] The cost of full tailings filling slurry is used as the objective function, and a decision model for the proportion of full tailings high-concentration filling slurry is constructed according to the set constraints. The constraints are determined according to the parameter indicators involved in the industrial filling slurry required for different filling mining methods.

[0021] Furthermore, before using the full tailings filling slurry cost as the objective function and constructing a decision model for the full tailings high-concentration filling slurry ratio according to the set constraints, the method further includes:

[0022] According to the mine's requirements for filling body strength and slurry parameters at different ages, constraints are set for the decision model of the full tailings high-concentration filling slurry ratio, and the slurry parameters include slurry flow parameters and slurry rheology parameters.

[0023] Furthermore, the decision model for the pre-constructed full tailings high-concentration filling slurry ratio is used to solve the tailings independent variable of the functional relationship to obtain the full tailings high-concentration filling slurry ratio suitable for different filling mining methods, specifically including:

[0024] Solving the tailings independent variable of the functional relationship according to the pre-constructed decision model of the ratio of the full tailings high-concentration filling slurry, so as to control the solution process so that the objective function reaches the optimum on the basis of the set constraint conditions;

[0025] Obtain the tailings independent variable solution result when the objective function reaches the optimum;

[0026] The proportion of high-concentration filling slurry of the whole tailings suitable for different filling mining methods is determined according to the solution results of the tailings independent variables.

[0027] According to a second aspect of the present application, there is provided an auxiliary decision-making device for the proportion of full tailings high-concentration filling slurry, comprising:

[0028] An acquisition unit, used to acquire tailings independent variables and tailings dependent variables that affect the filling effect, wherein the tailings independent variables include the addition amounts of different components in the full tailings high-concentration filling slurry obtained based on the granular full tailings and the concentration of the full tailings high-concentration filling slurry, and the tailings dependent variable is the tailings independent variable obtained through an orthogonal test of full tailings high-concentration filling characteristics;

[0029] An establishing unit, used to establish a functional relationship between the tailings independent variable and the tailings dependent variable;

[0030] The solving unit is used to solve the tailings independent variable of the functional relationship according to the pre-constructed decision model of the high-concentration filling slurry ratio of the whole tailings, so as to obtain the high-concentration filling slurry ratio of the whole tailings suitable for different filling mining methods.

[0031] Furthermore, the acquisition unit includes:

[0032] A determination module is used to apply granular whole tailings of different gradations to the whole tailings high-concentration filling slurry, determine the addition amount of different components in the whole tailings high-concentration filling slurry and the concentration of the whole tailings high-concentration filling slurry, so as to obtain the tailings independent variable that affects the filling effect;

[0033] The test module is used to carry out an orthogonal test of the high-concentration filling characteristics of the whole tailings according to the tailings independent variables that affect the filling effect, and to determine the tailings dependent variables that affect the filling effect based on the results of the orthogonal test.

[0034] Furthermore, the test module is specifically used for:

[0035] Taking the tailings independent variable affecting the filling effect as the test influencing factor, the test influencing factors are combined at different levels by using a pre-set orthogonal table to obtain test influencing factors of different level combinations;

[0036] Carry out orthogonal test of high-concentration filling characteristics of full tailings according to the experimental influencing factors of different levels of combination, so as to obtain the influence of the experimental influencing factors of different levels of combination on the results of orthogonal test;

[0037] According to the influence of the experimental influencing factors of different level combinations on the orthogonal test results, the tailings dependent variable affecting the filling effect is determined.

[0038] Furthermore, the establishing unit is specifically used for:

[0039] Based on genetic programming, the tailings independent variable and the tailings dependent variable are constructed into intelligent genetic trees with different topological structures;

[0040] A suitable one is selected from the intelligent genetic trees with different topological structures to establish a functional relationship between the tailings independent variable and the tailings dependent variable.

[0041] Furthermore, the device also includes:

[0042] A construction unit is used to solve the tailings independent variable of the functional relationship according to the pre-constructed decision model for the high-concentration filling slurry ratio of the whole tailings, and obtain the high-concentration filling slurry ratio of the whole tailings suitable for different filling mining methods. The decision model for the high-concentration filling slurry ratio of the whole tailings is constructed according to the set constraints, using the full tailings filling slurry cost as the objective function, and constructing the decision model for the high-concentration filling slurry ratio of the whole tailings according to the set constraints. The constraints are determined according to the parameter indicators involved in the industrial filling slurry required for different filling mining methods.

[0043] Furthermore, the device also includes:

[0044] A setting unit is used to set constraints for the decision model for the proportion of high-concentration filling slurry of full tailings according to the requirements of the mine on the strength of filling bodies and slurry parameters at different ages before constructing a decision model for the proportion of high-concentration filling slurry of full tailings according to the set constraints using the cost of the full tailings filling slurry as the objective function. The slurry parameters include slurry flow parameters and slurry rheology parameters.

[0045] Furthermore, the solving unit is specifically used for:

[0046] Solving the tailings independent variable of the functional relationship according to the pre-constructed decision model of the ratio of the full tailings high-concentration filling slurry, so as to control the solution process so that the objective function reaches the optimum on the basis of the set constraint conditions;

[0047] Obtain the tailings independent variable solution result when the objective function reaches the optimum;

[0048] The proportion of high-concentration filling slurry of the whole tailings suitable for different filling mining methods is determined according to the solution results of the tailings independent variables.

[0049] According to a third aspect of the present application, a computer device is provided, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method described in the first aspect when executing the computer program.

[0050] According to a fourth aspect of the present application, a readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method described in the first aspect are implemented.

[0051] By means of the above-mentioned technical scheme, the present application provides an auxiliary decision-making method, device and equipment for the ratio of full tailings high-concentration filling slurry. Compared with the current prior art method of realizing filling mining by preparing full tailings high-concentration filling slurry with full tailings cementation filling technology, the present application obtains tailings independent variables and tailings dependent variables that affect the filling effect. The tailings independent variables include the addition amounts of different components in the full tailings high-concentration filling slurry obtained based on granular full tailings and the concentration of the full tailings high-concentration filling slurry. The tailings dependent variable is the tailings independent variable obtained through an orthogonal test of the full tailings high-concentration filling characteristics; a functional relationship between the independent variable and the dependent variable is established; the tailings independent variable of the functional relationship is solved according to a pre-constructed decision model for the ratio of full tailings high-concentration filling slurry, to obtain the ratio of full tailings high-concentration filling slurry suitable for different filling mining methods. The whole process establishes the functional relationship between the tailings independent variable and the tailings dependent variable according to the requirements of different mining and filling methods for filling performance, and uses the functional relationship to assist in decision-making on the full tailings high-concentration filling slurry, aiming to maximize the tailings filling utilization and minimize the filling slurry cost while meeting the filling performance requirements, so as to flexibly adjust the proportion of the full tailings high-concentration filling slurry according to different filling mining methods, and enhance the flexibility of the preparation of the full tailings high-concentration filling slurry.

[0052] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0054] Figure 1 It is a flow chart of an auxiliary decision-making method for the proportion of high-concentration filling slurry of full tailings in one embodiment of the present application;

[0055] Figure 2 yes Figure 1 A schematic flow chart of a specific implementation of step 101;

[0056] Figure 3 yes Figure 1 A schematic flow chart of a specific implementation of step 102;

[0057] Figure 4 It is a flow chart of an auxiliary decision-making method for the proportion of high-concentration filling slurry of full tailings in another embodiment of the present application;

[0058] Figure 5 It is a structural schematic diagram of an auxiliary decision-making device for the proportion of full tailings high-concentration filling slurry in one embodiment of the present application;

[0059] Figure 6 It is a schematic diagram of the device structure of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0060] Now the content of the present invention will be discussed with reference to several exemplary embodiments. It should be understood that these embodiments are discussed only to enable those skilled in the art to better understand and thus implement the content of the present invention, rather than implying any limitation on the scope of the present invention.

[0061] As used herein, the term "including" and variations thereof are to be interpreted as open-ended terms meaning "including but not limited to." The term "based on" is to be interpreted as "based, at least in part, on." The terms "one embodiment" and "an embodiment" are to be interpreted as "at least one embodiment." The term "another embodiment" is to be interpreted as "at least one other embodiment."

[0062] The relevant technology mainly uses the full tailings high-concentration filling slurry prepared by the full tailings cementation filling technology to realize filling mining. The specific full tailings filling process includes the following processes: tailings thickening, filling material preparation, filling material slurry transportation, and filling material hardening in the mining area. Considering that full tailings of different particle sizes have different characteristics, the full tailings filling process is affected to a certain extent by the ratio of the full tailings high-concentration filling slurry. In other words, the ratio of the full tailings high-concentration filling slurry will affect the full tailings filling effect. However, as the tailings used for mine filling gradually tend to be ultra-fine and extremely fine, the sedimentation rate of fine-grained tailings is slow. Within the same sedimentation time, even if flocculants are added, the slurry bottom flow concentration is low, and the prepared filling slurry concentration is low, so the full tailings high-concentration filling slurry prepared by the full tailings cementation filling technology cannot meet the filling performance, and it is difficult to achieve the requirement of maximizing the utilization of full tailings filling.

[0063] In order to solve this problem, this embodiment provides an auxiliary decision-making method for the proportion of full tailings high-concentration filling slurry, such as Figure 1 As shown, the method is applied to the server corresponding to the filling mining, and includes the following steps:

[0064] 101. Obtain the tailings independent variables and tailings dependent variables that affect the filling effect.

[0065] This embodiment is mainly applied to the backfill mining method, which is mainly divided into the subsequent backfill method, the upward layered backfill method and the downward layered backfill method. Different mining methods have different requirements for the performance of backfill slurry. For example, the downward layered backfill method is suitable for mining ore bodies where both the ore and the surrounding rock are unstable, and non-ferrous metal or rare metal ore bodies with very high ore grade or very high value. The essence of the downward layered backfill mining method is to recover and fill layer by layer from top to bottom. The recovery of each layer is carried out under the protection of the artificial false roof of the previous layer. Especially for the adverse mining technical conditions such as high ground stress, deep burial, high ground pressure and unstable ore rock, not only the overall strength of the cemented backfill body is required to be high, but also specific requirements are put forward for the early strength. Therefore, it is necessary to seek a method for preparing the full tailings backfill slurry suitable for the backfill mining method.

[0066] It is understandable that the influence of tailings of different particle sizes on the concentration of the full tailings filling slurry is that the viscosity of ultrafine tailings itself is relatively large, and increasing the concentration of the filling slurry is not conducive to pipeline transportation; the water demand of fine-grained tailings is relatively high, and the mass concentration of the filling slurry is relatively low. During the transportation and hardening process, the tailings may sink and the slurry may float, resulting in water seepage and segregation, and then blockage of the pipe, and even difficulty in dehydration of the mining site. Taking into account the requirements of different filling methods for filling performance, the filling slurry prepared by the full tailings filling process is affected by the concentration of the full tailings filling slurry. This application uses the tailings independent variable to allow tailings of different forms to be combined to prepare high-concentration full tailings filling slurry, and adjusts the ratio of high-concentration filling slurry of full tailings to adapt to the filling performance of different filling mining methods.

[0067] In this embodiment, the tailings independent variable includes the addition amount of different components in the high-concentration filling slurry of the whole tailings obtained based on the granular whole tailings and the concentration of the high-concentration filling slurry of the whole tailings. The addition amount of different components here includes the addition amount of granular whole tailings of different gradations and the addition amount of cementitious materials for the filling slurry. The addition amount of granular whole tailings of different gradations can be the addition amount of granular whole tailings per cubic meter of filling slurry and the addition amount of original tailings. The concentration of the high-concentration filling slurry of the whole tailings can be the mass concentration of the filling slurry. Correspondingly, the tailings dependent variable is the tailings independent variable obtained by the orthogonal test of the high-concentration filling characteristics of the whole tailings, which can specifically include tailings. The orthogonal test here is a method for studying multi-factor multi-level experimental design, which uses an orthogonal table to arrange the experiment, and obtains the tailings dependent variable affected by different tailings independent variables by analyzing the experimental results.

[0068] 102. Establish a functional relationship between the tailings independent variable and the tailings dependent variable.

[0069] In this embodiment, intelligent analysis is performed on the tailings independent variable and the tailings dependent variable, and based on genetic programming, an intelligent genetic tree is used to construct a functional relationship between the tailings independent variable and the dependent variable.

[0070] Exemplarily, the tailings independent variables are the grading of granular whole tailings, the amount of granular whole tailings added per cubic meter of filling slurry, the amount of original tailings added, the amount of cementitious material added per cubic meter of filling slurry, and the mass concentration of filling slurry; the tailings dependent variables are the measured uniaxial compressive strength, flow characteristics, and rheological properties. The specifically constructed functional relationship is the functional relationship between the strength of the filling body at different ages, the fluidity and stability of the slurry, and each tailings independent variable.

[0071] 103. Solve the tailings independent variable of the functional relationship according to the pre-constructed decision model of the whole tailings high-concentration filling slurry ratio to obtain the whole tailings high-concentration filling slurry ratio suitable for different filling mining methods.

[0072] Among them, the decision model includes the cost optimization model and the constraints of different filling methods. The cost optimization model takes the sum of the costs of each component in the filling material as the minimum as the strategic goal. The constraints are the parameters and indicators involved in the industrial filling slurry required for different filling mining methods, which can be flexibly adjusted according to the actual requirements of different filling mining methods or application mines. The decision model here is applied to the preparation process of high-concentration filling slurry of full tailings, and provides auxiliary decision-making for the proportion of high-concentration filling slurry of full tailings. In addition to constraining the strength of the filling body, the decision model also introduces the constraints of rheological parameters while assisting the decision-making, which can achieve more precise control to meet the filling characteristics requirements.

[0073] Specifically, a decision model for the proportion of high-concentration filling slurry of whole tailings can be pre-constructed to solve the functional relationship established above, and then obtain the proportion of high-concentration filling slurry of whole tailings suitable for different filling mining methods, so as to obtain the optimal parameter values ​​such as the amount of granular whole tailings added per cubic meter of filling slurry, the amount of original tailings added, the amount of cementitious material added per cubic meter of filling slurry and the mass concentration of the filling slurry.

[0074] The auxiliary decision-making method for the proportion of full tailings high-concentration filling slurry provided in the embodiment of the present application, compared with the current prior art method of realizing filling mining by using full tailings high-concentration filling slurry prepared by full tailings cementation filling technology, the present application obtains tailings independent variables and tailings dependent variables that affect the filling effect, the tailings independent variables include the addition amount of different components in the full tailings high-concentration filling slurry obtained based on granular full tailings and the concentration of the full tailings high-concentration filling slurry, the tailings dependent variable is the tailings independent variable obtained through an orthogonal test of the full tailings high-concentration filling characteristics; a functional relationship between the independent variable and the dependent variable is established; the tailings independent variable of the functional relationship is solved according to a pre-constructed decision model for the proportion of full tailings high-concentration filling slurry, and the proportion of full tailings high-concentration filling slurry suitable for different filling mining methods is obtained. The whole process establishes the functional relationship between the tailings independent variable and the tailings dependent variable according to the requirements of different mining and filling methods for filling performance, and uses the functional relationship to assist in decision-making on the full tailings high-concentration filling slurry, aiming to maximize the tailings filling utilization and minimize the filling slurry cost while meeting the filling performance requirements, so as to flexibly adjust the proportion of the full tailings high-concentration filling slurry according to different filling mining methods, and enhance the flexibility of the preparation of the full tailings high-concentration filling slurry.

[0075] Specifically, in the above embodiment, Figure 2 As shown, step 101 includes the following steps:

[0076] 201. Apply granular whole tailings of different gradations to the whole tailings high-concentration filling slurry, determine the addition amount of different components in the whole tailings high-concentration filling slurry and the concentration of the whole tailings high-concentration filling slurry, so as to obtain the tailings independent variables that affect the filling effect.

[0077] 202. Conduct an orthogonal test on the high-concentration filling characteristics of full tailings based on the tailings independent variables that affect the filling effect, and determine the tailings dependent variables that affect the filling effect based on the results of the orthogonal test.

[0078] In this embodiment, granular whole tailings with different particle gradations can be formed by adjusting factors such as granulation time, granulation agent addition amount, and granulation moisture content. Here, the granular whole tailings with different gradations are jointly characterized by the uneven coefficient Cu, the curvature coefficient Cc, and the weighted average particle size dav. Since granular whole tailings with different gradations have different tailings properties, according to different requirements for filling mining, the required proportions of granular whole tailings with different gradations in the process of preparing whole tailings high-concentration filling slurry are also different.

[0079] The tailings independent variable in this embodiment is based on granular whole tailings of different gradations. The granular whole tailings of different gradations are applied to the whole tailings high-concentration filling slurry, and the addition amounts of different components in the whole tailings high-concentration filling slurry include granular whole tailings of different gradations, the addition amount of granular whole tailings per cubic meter of filling slurry, the addition amount of original tailings, and the addition amount of cementitious material per cubic meter of filling slurry. The concentration of the whole tailings high-concentration filling slurry is the mass concentration of the filling slurry.

[0080] Specifically, in the process of carrying out the orthogonal test of the high-concentration filling characteristics of the whole tailings according to the tailings independent variable that affects the filling effect, the tailings independent variable that affects the filling effect is taken as the experimental influencing factor, and the experimental influencing factors are combined at different levels using a pre-set orthogonal table to obtain the experimental influencing factors of different levels. Then, the orthogonal test of the high-concentration filling characteristics of the whole tailings is carried out according to the experimental influencing factors of different levels, so as to obtain the influence of the experimental influencing factors of different levels on the results of the orthogonal test. Finally, the tailings dependent variable that affects the filling effect is determined according to the influence of the experimental influencing factors of different levels on the results of the orthogonal test.

[0081] For example, taking tailings as the independent variable of the test influencing factor, an orthogonal test of the high-concentration filling characteristics of full tailings was carried out. The orthogonal test here used 5 factors and 4 levels, with a total of 16 groups of orthogonal tests. The uniaxial compressive strength, flow characteristics (fluidity and water bleeding rate), and rheological characteristics measurement values ​​(yield stress and viscosity coefficient) of the 16 groups of tests were obtained as follows:

[0082] P i =test(XLZ i , LZ i , YZ i , M.C. i , J i , T q ), i=1~9, q=1,...,n

[0083] D i =test(XLZ i , LZ i , YZ i , M.C. i , J i ), i=1~9

[0084] M i =test(XLZ i , LZ i , YZ i , M.C. i , J i ), i=1~9

[0085] τ i=test(XLZ i , LZ i , YZ i , M.C. i , J i ), i=1~9

[0086] μ i =test(XLZ i , LZ i , YZ i , M.C. i , J i ), i=1~9

[0087] Among them, P i D is the measured value of the filling body's compressive strength, in MPa; i M is the measured value of the fluidity of the filling slurry (expansion or slump), in cm; i is the measured value of the filling slurry seepage rate, unit: %; τ i is the measured value of the yield stress of the filling slurry, in MPa; μ i is the measured value of the filling slurry viscosity coefficient; XLZ i It is granular tailings with different gradations; LZ i YZ is the amount of granular tailings added, in kg / m3; i is the amount of original tailings added, unit: kg / m3; MC i is the mass concentration of filling slurry, unit %; Ji is the amount of filling cementitious material added, unit kg / m3; T q is the strength curing age of the filling body, in d; i is the number of test groups; q is the curing age required according to actual conditions, in d.

[0088] Specifically, in the above embodiment, Figure 3 As shown, step 102 includes the following steps:

[0089] 301. Based on genetic programming, the tailings independent variable and the tailings dependent variable are constructed into intelligent genetic trees with different topological structures.

[0090] 302. Select a suitable one from the intelligent genetic trees with different topological structures to establish a functional relationship between the tailings independent variable and the tailings dependent variable.

[0091] It can be understood that the test results were obtained by conducting a test on the high-concentration filling characteristics of full tailings. The granular full tailings of different gradations, the amount of granular full tailings added per cubic filling slurry, the amount of original tailings added, the amount of cementitious material added per cubic filling slurry and the mass concentration of filling slurry were used as independent variables, and the measured uniaxial compressive strength, flow characteristics and rheological characteristics were used as dependent variables for intelligent analysis. Based on genetic programming, the functional relationship between the strength of the filling body at different ages, the fluidity and stability of the slurry and the respective variables was constructed using an intelligent genetic tree:

[0092] P k =f k (XLZ, LZ, YZ, MC, J), k=1~n

[0093] LD=I(XLZ,LZ,YZ,MC,J)

[0094] LB=g(XLZ,LZ,YZ,MC,J)

[0095] Among them, P k It is a function of the uniaxial compressive strength of the backfill at the curing age k under standard conditions and the independent variable, where the unit of k is d; LD is a function of the flow properties of the backfill slurry and the independent variable, including expansion or slump and water bleeding rate; LB is a function of the rheological properties of the backfill slurry and the independent variable, including yield stress and viscosity coefficient.

[0096] Considering that the decision model of the ratio of the high-concentration filling slurry of the whole tailings is established on the basis of the objective function and the constraint conditions, further, in the above embodiment, Figure 4 As shown, before step 103, the method further includes the following steps:

[0097] 401. Using the cost of full tailings filling slurry as the objective function, a decision model for the proportion of full tailings high-concentration filling slurry is constructed according to the set constraints.

[0098] The decision model here includes the filling material cost optimization model and constraint conditions. The filling material cost optimization model uses the cost of high-concentration filling slurry materials with full tailings as the objective function. When the cost is the lowest, the objective function is considered to be optimal. Specifically, the decision goal is to minimize the sum of the costs of each component in the filling material, and the filling material cost optimization model is established as follows:

[0099] g(x)=a1.m1+a2.m2+…+a n .m n

[0100] Among them, a n is the unit price of material n, in yuan / t; m n It is the mass of material n per cubic meter of filling, in units of t.

[0101] As for the constraints, before using the full tailings filling slurry cost as the objective function and constructing a decision model for the slurry ratio of high-concentration filling materials of full tailings according to the set constraints, constraints can be set for the decision model for the slurry ratio of high-concentration filling materials of full tailings according to the mine's requirements for the strength of filling bodies and slurry parameters at different ages. The slurry parameters here include slurry flow parameters and slurry rheology parameters.

[0102] Specifically, it can be flexibly adjusted according to different filling mining methods or actual requirements of the application mine. According to the requirements of the mine for the strength of the filling body at different ages and the fluidity and rheology of the slurry, the constraints of the objective function in the optimization process are determined as follows:

[0103] P k ≥G k

[0104] D≥d

[0105] M≥m

[0106] τ0≤τ a

[0107] Among them, G k is the minimum compressive strength requirement at age k, in MPa; d is the minimum expansion or slump value that needs to be met for a specific mine filling process, in cm; m is the minimum water seepage rate that needs to be met for a specific mine filling process, in %; τ a It is the minimum yield stress required for mine transportation (pumping or gravity flow), unit: MPa.

[0108] In actual application scenarios, taking a mine as an example, the mine discharges more than 10 million tons of tailings every year, and the open-air discharge of tailings has caused a certain degree of environmental pollution to the surrounding area. By regrinding and reselecting the tailings, the acid leaching technology is used to recover the valuable metals in the tailings. However, there is still a large amount of tailings waste that needs to be discharged after the tailings are acid-leached, especially the existing tailings with a particle size of -20um ultra-fine content of not less than 70%, which is a rare ultra-fine powdered full tailings in China. Therefore, filling a large amount of acid-leached tailings into the mine and ultimately achieving less mining emissions is the optimal goal pursued by the mine. At the same time, in order to improve the strength of the downward layered filling body, the mine uses filling aggregates and cement cementitious materials, uses a high ash-sand ratio of 1:4 and a high concentration slurry of more than 78% for filling, and requires the cemented filling body to reach 1.5MPa, 2.5MPa and 5.0MPa at 3d, 7d, and 28d, respectively, so as to ensure safe operation under the false top of the filling body. However, the mine has a long history of coarse aggregate mining, and the relevant license is about to expire and is not allowed to be renewed, so it faces a shortage of coarse aggregate.

[0109] For the mine in this embodiment, it is necessary to ensure the continuous and stable supply of coarse aggregates, dispose of a large amount of ultra-fine tailings from mineral processing, and ensure the filling performance. The auxiliary decision-making method for the high-concentration filling slurry ratio of the whole tailings in this application mainly includes the following implementation process: first, by adjusting the granulation time, the amount of granulating agent added, the granulation moisture content and other factors, four granular whole tailings with different particle gradations are formed, and the unevenness coefficient Cu, the curvature coefficient Cc, and the weighted average particle size dav are used to jointly characterize the granular whole tailings with different gradations; then, a high-concentration filling characteristic test of the whole tailings is carried out to obtain 16 groups of test results, and genetic programming is used to construct the functional relationship between the strength of the filling body at different ages, the fluidity and stability of the slurry and each influencing factor. Again, the cost of each cubic meter of filling slurry material composition is used as the objective function, and the constraints are determined according to the specific filling requirements of the mine. Finally, the global optimization technology of the genetic algorithm is used to determine the high-concentration filling slurry ratio parameters of the whole tailings suitable for the downward layered cementation filling method of the mine.

[0110] The following results can be obtained through the auxiliary decision-making method for the proportion of high-concentration filling slurry of full tailings mentioned above: based on the joint characterization method of the uneven coefficient Cu, the curvature coefficient Cc and the weighted average particle size dav, the optimal particle size distribution value of the ultra-fine tailings granulated aggregate suitable for the mine is obtained as shown in Table 1, and the optimal proportion of high-concentration filling slurry of full tailings is obtained: the amount of cementitious material added to each cubic filling slurry is 310 kg, the mass concentration of the slurry is 80%, and the added mass ratio of granular full tailings to original tailings is 6:4; the uniaxial compressive strength of the filling body after 3 days, 7 days and 28 days is 2.12 MPa, 3.62 MPa and 6.76 MPa, respectively, which are 1.4 times, 1.5 times and 1.3 times the requirements of the downward layered filling method of the mine, respectively, with a certain surplus coefficient, a slump of 27.5 cm, a water seepage rate of 1.3%, and the cost is the same as the existing coarse aggregate high-concentration filling cost. Based on the auxiliary decision-making method for the proportion of full tailings high-concentration filling slurry in this application, the full tailings high-concentration filling slurry of the downward layered cementation filling method meets the filling property requirements, achieving the purpose of maximizing the use of full tailings for filling in the mine where coarse aggregate is scarce.

[0111] Table 1 Granularity of tailings particles

[0112] Particle distribution / mm ＞10 10～5 5～2.5 2.5～1.25 ＜1.25 content / % 6.8 72.3 18.2 2.1 0.6

[0113] Further, as Figure 1-4 The specific implementation of the method, the embodiment of the present application provides an auxiliary decision-making device for the proportion of high-concentration filling slurry of full tailings, such as Figure 5 As shown, the device includes: an acquisition unit 51, an establishment unit 52, and a solution unit 53.

[0114] An acquisition unit 51 is used to acquire tailings independent variables and tailings dependent variables that affect the filling effect, wherein the tailings independent variables include the addition amounts of different components in the full tailings high-concentration filling slurry obtained based on the granular full tailings and the concentration of the full tailings high-concentration filling slurry, and the tailings dependent variable is the tailings independent variable obtained through an orthogonal test of full tailings high-concentration filling characteristics;

[0115] An establishing unit 52, used to establish a functional relationship between the tailings independent variable and the tailings dependent variable;

[0116] The solving unit 53 is used to solve the tailings independent variable of the functional relationship according to the pre-constructed decision model of the whole tailings high-concentration filling slurry ratio, and obtain the whole tailings high-concentration filling slurry ratio suitable for different filling mining methods.

[0117] The auxiliary decision-making device for the proportion of full tailings high-concentration filling slurry provided in the embodiment of the present invention, compared with the current prior art method of realizing filling mining by using full tailings high-concentration filling slurry prepared by full tailings cementation filling technology, obtains tailings independent variables and tailings dependent variables that affect the filling effect, the tailings independent variables include the addition amounts of different components in the full tailings high-concentration filling slurry obtained based on granular full tailings and the concentration of the full tailings high-concentration filling slurry, the tailings dependent variable is the tailings independent variable obtained through an orthogonal test of the full tailings high-concentration filling characteristics; a functional relationship between the independent variable and the dependent variable is established; the tailings independent variable of the functional relationship is solved according to a pre-constructed decision model for the proportion of full tailings high-concentration filling slurry, and the proportion of full tailings high-concentration filling slurry suitable for different filling mining methods is obtained. The whole process establishes the functional relationship between the tailings independent variable and the tailings dependent variable according to the requirements of different mining and filling methods for filling performance, and uses the functional relationship to assist in decision-making on the full tailings high-concentration filling slurry, aiming to maximize the tailings filling utilization and minimize the filling slurry cost while meeting the filling performance requirements, so as to flexibly adjust the proportion of the full tailings high-concentration filling slurry according to different filling mining methods, and enhance the flexibility of the preparation of the full tailings high-concentration filling slurry.

[0118] In a specific application scenario, the acquisition unit includes:

[0119] A determination module is used to apply granular whole tailings of different gradations to the whole tailings high-concentration filling slurry, determine the addition amount of different components in the whole tailings high-concentration filling slurry and the concentration of the whole tailings high-concentration filling slurry, so as to obtain the tailings independent variable that affects the filling effect;

[0120] The test module is used to carry out an orthogonal test of the high-concentration filling characteristics of the whole tailings according to the tailings independent variables that affect the filling effect, and to determine the tailings dependent variables that affect the filling effect based on the results of the orthogonal test.

[0121] In a specific application scenario, the test module is specifically used for:

[0122] Taking the tailings independent variable affecting the filling effect as the test influencing factor, the test influencing factors are combined at different levels by using a pre-set orthogonal table to obtain test influencing factors of different level combinations;

[0123] Carry out orthogonal test of high-concentration filling characteristics of full tailings according to the experimental influencing factors of different levels of combination, so as to obtain the influence of the experimental influencing factors of different levels of combination on the results of orthogonal test;

[0124] According to the influence of the experimental influencing factors of different level combinations on the orthogonal test results, the tailings dependent variable affecting the filling effect is determined.

[0125] In a specific application scenario, the establishing unit is specifically used to:

[0126] Based on genetic programming, the tailings independent variable and the tailings dependent variable are constructed into intelligent genetic trees with different topological structures;

[0127] A suitable one is selected from the intelligent genetic trees with different topological structures to establish a functional relationship between the tailings independent variable and the tailings dependent variable.

[0128] In a specific application scenario, the device further includes:

[0129] A construction unit is used to solve the tailings independent variable of the functional relationship according to the pre-constructed decision model for the high-concentration filling slurry ratio of the whole tailings, and obtain the high-concentration filling slurry ratio of the whole tailings suitable for different filling mining methods. The decision model for the high-concentration filling slurry ratio of the whole tailings is constructed according to the set constraints, using the full tailings filling slurry cost as the objective function, and constructing the decision model for the high-concentration filling slurry ratio of the whole tailings according to the set constraints. The constraints are determined according to the parameter indicators involved in the industrial filling slurry required for different filling mining methods.

[0130] In a specific application scenario, the device further includes:

[0131] A setting unit is used to set constraints for the decision model for the proportion of high-concentration filling slurry of full tailings according to the requirements of the mine on the strength of filling bodies and slurry parameters at different ages before constructing a decision model for the proportion of high-concentration filling slurry of full tailings according to the set constraints using the cost of the full tailings filling slurry as the objective function. The slurry parameters include slurry flow parameters and slurry rheology parameters.

[0132] In a specific application scenario, the solving unit is specifically used for:

[0133] Solving the tailings independent variable of the functional relationship according to the pre-constructed decision model of the ratio of the full tailings high-concentration filling slurry, so as to control the solution process so that the objective function reaches the optimum on the basis of the set constraint conditions;

[0134] Obtain the tailings independent variable solution result when the objective function reaches the optimum;

[0135] The proportion of high-concentration filling slurry of the whole tailings suitable for different filling mining methods is determined according to the solution results of the tailings independent variables.

[0136] It should be noted that for other corresponding descriptions of the functional units involved in the auxiliary decision-making device for the ratio of high-concentration filling slurry of full tailings provided in this embodiment, reference can be made to Figure 1-Figure 5 The corresponding description in will not be repeated here.

[0137] Based on the above Figure 1-Figure 4 The method shown in the embodiment of the present application accordingly provides a storage medium on which a computer program is stored, and when the program is executed by a processor, the above-mentioned Figure 1-Figure 4 The auxiliary decision-making method for the proportion of high-concentration filling slurry of full tailings is shown.

[0138] Based on this understanding, the technical solution of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each implementation scenario of the present application.

[0139] Based on the above Figure 1-Figure 4 The method shown, and Figure 5 In order to achieve the above-mentioned purpose, the embodiment of the present application also provides a physical device for assisting decision-making of the proportion of high-concentration filling slurry of full tailings, which can be a computer, a smart phone, a tablet computer, a smart watch, a server, or a network device, etc. The physical device includes a storage medium and a processor; the storage medium is used to store a computer program; the processor is used to execute the computer program to achieve the above-mentioned Figure 1-Figure 4 The auxiliary decision-making method for the proportion of high-concentration filling slurry with full tailings is shown.

[0140] Optionally, the physical device may also include a user interface, a network interface, a camera, a radio frequency (RF) circuit, a sensor, an audio circuit, a WI-FI module, etc. The user interface may include a display, an input unit such as a keyboard, etc., and the optional user interface may also include a USB interface, a card reader interface, etc. The network interface may optionally include a standard wired interface, a wireless interface (such as a WI-FI interface), etc.

[0141] In an exemplary embodiment, see Figure 6 The physical device includes a communication bus, a processor, a memory and a communication interface, and may also include an input / output interface and a display device, wherein each functional unit can communicate with each other through the bus. The memory stores a computer program, and the processor is used to execute the program stored in the memory and execute the auxiliary decision method for the proportion of the high-concentration filling slurry of the whole tailings in the above embodiment.

[0142] Those skilled in the art will appreciate that the physical equipment structure for assisting decision making of the ratio of full tailings high-concentration filling slurry provided in this embodiment does not constitute a limitation on the physical equipment, and may include more or fewer components, or a combination of certain components, or different component arrangements.

[0143] The storage medium may also include an operating system and a network communication module. The operating system is a program that manages the hardware and software resources of the physical device for auxiliary decision-making of the ratio of the full tailings high-concentration filling slurry, and supports the operation of the information processing program and other software and / or programs. The network communication module is used to realize the communication between the components inside the storage medium, and the communication with other hardware and software in the information processing physical device.

[0144] Through the description of the above implementation methods, those skilled in the art can clearly understand that the present application can be implemented by means of software plus the necessary general hardware platform, or by hardware. By applying the technical solution of the present application, compared with the current existing methods, the present application establishes a functional relationship between the tailings independent variable and the tailings dependent variable according to the requirements of different mining and filling methods for filling performance, and assists in decision-making for the full tailings high-concentration filling slurry through the functional relationship, aiming to meet the filling performance requirements while maximizing the tailings filling utilization and minimizing the filling slurry cost, so as to flexibly adjust the full tailings high-concentration filling slurry ratio according to different filling mining methods, and improve the flexibility of the preparation of the full tailings high-concentration filling slurry.

[0145] Those skilled in the art will appreciate that the accompanying drawings are only schematic diagrams of a preferred implementation scenario, and the modules or processes in the accompanying drawings are not necessarily necessary for implementing the present application. Those skilled in the art will appreciate that the modules in the devices in the implementation scenario can be distributed in the devices of the implementation scenario according to the description of the implementation scenario, or can be changed accordingly and located in one or more devices different from the present implementation scenario. The modules of the above-mentioned implementation scenario can be combined into one module, or can be further split into multiple submodules.

[0146] The above serial numbers of this application are only for description and do not represent the advantages and disadvantages of the implementation scenarios. The above disclosure is only a few specific implementation scenarios of this application, but this application is not limited to them, and any changes that can be thought of by technicians in this field should fall within the scope of protection of this application.

Claims

1. An auxiliary decision-making method for the proportion of high-concentration filling slurry of full tailings, characterized in that: include: Obtain tailings independent variables and tailings dependent variables that affect the filling effect, wherein the tailings independent variables include the addition amounts of different components in the full tailings high-concentration filling slurry obtained based on the granular full tailings and the concentration of the full tailings high-concentration filling slurry, and the tailings dependent variable is the tailings independent variable obtained through an orthogonal test of the full tailings high-concentration filling characteristics; Establishing a functional relationship between the tailings independent variable and the tailings dependent variable; The tailings independent variable of the functional relationship is solved according to the pre-constructed decision model of the whole tailings high-concentration filling slurry ratio to obtain the whole tailings high-concentration filling slurry ratio suitable for different filling mining methods.

2. The method according to claim 1, characterized in that The step of obtaining the tailings independent variable and tailings dependent variable that affect the filling effect specifically includes: The granular whole tailings with different gradations are applied to the whole tailings high-concentration filling slurry, and the addition amount of different components in the whole tailings high-concentration filling slurry and the concentration of the whole tailings high-concentration filling slurry are determined to obtain the tailings independent variables that affect the filling effect; An orthogonal test of the high-concentration filling characteristics of full tailings is carried out based on the tailings independent variables that affect the filling effect, and the tailings dependent variables that affect the filling effect are determined based on the results of the orthogonal test.

3. The method according to claim 2, characterized in that The orthogonal test of the high-concentration filling characteristics of the whole tailings is carried out according to the tailings independent variables affecting the filling effect, and the tailings dependent variables affecting the filling effect are determined based on the results of the orthogonal test, specifically including: Taking the tailings independent variable affecting the filling effect as the test influencing factor, the test influencing factors are combined at different levels by using a pre-set orthogonal table to obtain test influencing factors of different level combinations; Carry out orthogonal test of high-concentration filling characteristics of full tailings according to the experimental influencing factors of different levels of combination, so as to obtain the influence of the experimental influencing factors of different levels of combination on the results of orthogonal test; According to the influence of the experimental influencing factors of different level combinations on the orthogonal test results, the tailings dependent variable affecting the filling effect is determined.

4. The method according to claim 1, characterized in that The establishing of the functional relationship between the tailings independent variable and the tailings dependent variable specifically includes: Based on genetic programming, the tailings independent variable and the tailings dependent variable are constructed into intelligent genetic trees with different topological structures; A suitable one is selected from the intelligent genetic trees with different topological structures to establish a functional relationship between the tailings independent variable and the tailings dependent variable.

5. The method according to any one of claims 1 to 4, characterized in that Before solving the tailings independent variable of the functional relationship according to the pre-constructed decision model for the high-concentration filling slurry ratio of the whole tailings to obtain the high-concentration filling slurry ratio of the whole tailings suitable for different filling mining methods, the method further includes: The cost of full tailings filling slurry is used as the objective function, and a decision model for the proportion of full tailings high-concentration filling slurry is constructed according to the set constraints. The constraints are determined according to the parameter indicators involved in the industrial filling slurry required for different filling mining methods.

6. The method according to claim 5, characterized in that Before using the full tailings filling slurry cost as the objective function and constructing a decision model for the proportion of the full tailings high-concentration filling slurry according to the set constraints, the method further includes: According to the mine's requirements for filling body strength and slurry parameters at different ages, constraints are set for the decision model of the full tailings high-concentration filling slurry ratio, and the slurry parameters include slurry flow parameters and slurry rheology parameters.

7. The method according to any one of claims 1 to 4, characterized in that The decision model for the pre-constructed high-concentration filling slurry ratio of all tailings is used to solve the tailings independent variable of the functional relationship to obtain the high-concentration filling slurry ratio of all tailings suitable for different filling mining methods, specifically including: Solving the tailings independent variable of the functional relationship according to the pre-constructed decision model of the ratio of the full tailings high-concentration filling slurry, so as to control the solution process so that the objective function reaches the optimum on the basis of the set constraint conditions; Obtain the tailings independent variable solution result when the objective function reaches the optimum; The proportion of high-concentration filling slurry of the whole tailings suitable for different filling mining methods is determined according to the solution results of the tailings independent variables.

8. An auxiliary decision-making device for the proportion of high-concentration filling slurry of full tailings, characterized in that: include: An acquisition unit, used to acquire tailings independent variables and tailings dependent variables that affect the filling effect, wherein the tailings independent variables include the addition amounts of different components in the full tailings high-concentration filling slurry obtained based on the granular full tailings and the concentration of the full tailings high-concentration filling slurry, and the tailings dependent variable is the tailings independent variable obtained through an orthogonal test of full tailings high-concentration filling characteristics; An establishing unit, used to establish a functional relationship between the tailings independent variable and the tailings dependent variable; The solving unit is used to solve the tailings independent variable of the functional relationship according to the pre-constructed decision model of the high-concentration filling slurry ratio of the whole tailings, so as to obtain the high-concentration filling slurry ratio of the whole tailings suitable for different filling mining methods.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the auxiliary decision-making method for the proportion of the full tailings high-concentration filling slurry described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the auxiliary decision-making method for the proportion of the full tailings high-concentration filling slurry as described in any one of claims 1 to 7 are implemented.

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