Methods, devices, equipment, media and products for designing underground mine access routes

Abstract

The present application discloses a method, device, equipment, medium and product for designing underground mine recovery routes. The method includes: obtaining the design parameters of the underground mine recovery route and the ore body boundary line above the recovery route, the design parameters including: a first length value, a second length value, a third length value and a slope value; constructing the optimal loss and depletion function of the recovery route based on the ore body boundary line, the first length value, the second length value and the slope value; generating the design scheme of the recovery route of the underground mine based on the ore body boundary line, the first length value, the second length value, the third length value and the optimal loss and depletion function. In this way, the problems of large randomness and large workload in manual interactive design can be effectively avoided, and the automation level of the design can be improved; in addition, the loss rate and depletion rate in the ore recovery process corresponding to the design results can reach the global optimum, thereby improving the overall performance of the recovery route design.

Description

Technical Field

[0001] The present application relates to the field of industrial application software, and in particular to an underground mine recovery route design method, device, equipment, medium and product. Background Art

[0002] The mining approach in an underground mine is a type of tunnel, which is mainly arranged below the ore body. As a preparatory project for ore mining, the starting position of the mining approach is set at a certain interval along the stage or segmented transportation tunnel. The starting position of the mining approach can be regarded as a known spatial position. The spatial orientation of the mining approach is perpendicular to the stage or segmented transportation tunnel. The slope of the mining approach has a certain adjustment space. Therefore, there is a large optimization space when designing the mining approach in mining projects.

[0003] The mining access road is a segmented broken line on the longitudinal section perpendicular to its orientation, and each line segment on the broken line has specific requirements, such as the length of the line segment should be greater than a certain unit engineering length, that is, the length of any straight line segment of the equipment cannot be too short, so as to ensure the equipment operation efficiency; the slope of the line segment should be less than a certain limit slope, so as to ensure the safety of equipment operation. The optimization space for mining access road design lies in finding a segmented broken line that meets the above conditions, so that the ore body boundary line on the longitudinal section perpendicular to its orientation has the highest fit with the segmented broken line, ensuring the lowest loss rate and depletion rate during ore mining.

[0004] At present, when manually interactively designing the mining route, it is mainly based on manual experience. After the design is completed, the loss rate and depletion rate are calculated and evaluated, and then local fine-tuning is performed to recalculate and evaluate whether the loss rate and depletion rate are better. The manual interactive design method is very arbitrary and labor-intensive, and local fine-tuning will lead to local optimal design, which cannot guarantee the global optimality. Summary of the invention

[0005] In view of this, the embodiments of the present application provide a method, device, equipment, medium and product for designing an underground mine recovery route, aiming to optimize the design effect of the underground mine recovery route.

[0006] The technical solution of the embodiment of the present application is implemented as follows:

[0007] In a first aspect, an embodiment of the present application provides a method for designing an underground mine recovery route, comprising:

[0008] Acquire design parameters of an underground mine recovery access road and an ore body boundary line above the recovery access road, wherein the design parameters include: a first length value, a second length value, a third length value and a slope value, wherein the first length value represents the minimum unit engineering length of the recovery access road, the second length value represents the step length of the recovery access road, the third length value represents the projected length of the ore body boundary line, and the slope value represents the maximum slope of the recovery access road;

[0009] Based on the ore body boundary line, the first length value, the second length value and the slope value, constructing an optimal loss depletion function of the mining approach;

[0010] Based on the ore body boundary line, the first length value, the second length value, the third length value and the optimal loss depletion function, a design scheme for the mining approach of the underground mine is generated.

[0011] In some embodiments, the ore body boundary line is composed of a point sequence {P0, P1, ..., P n}, any point P in the point sequence i The coordinates of (x i ,y i ), the optimal loss depletion function of the mining approach constructed is expressed as follows:

[0012] f(x,x i ,l+Δl×k)=a i,k x+b i,k ,x∈[x i ,x i +l+Δl×k]

[0013] Wherein, l is the first length value, Δl is the second length value, k is an integer greater than or equal to 0, and a i,k and b i,k are the first fitting coefficient and the second fitting coefficient respectively. i,k |>|α max |When a i,k =α max , α max is the slope value.

[0014] In some embodiments, the method further comprises:

[0015] Solving the first fitting coefficient and the second fitting coefficient specifically includes:

[0016] Assume that the boundary line of the ore body is at the horizontal coordinate x i The vertical coordinate value at i , in the horizontal coordinate x i The vertical coordinate value at +l+Δl×k is yi,k ;

[0017] The ore body boundary line is at point (x i ,y i ) and point (x i +l+Δl×k,y i,k ) is set to the point sequence consisting of all points between {(x0′,y0′),(x1′,y1′),...,(x M ′,y M ′)}, and find the point sequence {(x0′,y0′),(x1′,y1′),...,(x M ′,y M ′)}, the loss depletion value is expressed as follows:

[0018]

[0019] Wherein, H(x′,k) is the loss depletion value;

[0020] Partial derivatives of the first fitting coefficient and the second fitting coefficient are respectively obtained based on the loss depletion value to obtain the first fitting coefficient and the second fitting coefficient.

[0021] In some embodiments, the generating a design scheme of the mining route of the underground mine based on the ore body boundary line, the first length value, the second length value, the third length value and the optimal loss depletion function includes:

[0022] Based on the ore body boundary line, the first length value, the second length value, the third length value and the optimal loss and dilution function, the loss and dilution value of each mining route sub-segment in the mining route design is obtained;

[0023] The sums of the loss and depletion values ​​of the various mining route designs are compared, and the mining route design with the smallest sum of the loss and depletion values ​​is used as the target design scheme for the mining route of the underground mine.

[0024] In some embodiments, the step of obtaining the loss and dilution value of each mining route sub-segment in the mining route design based on the ore body boundary line, the first length value, the second length value, the third length value and the optimal loss and dilution function includes:

[0025] Based on the starting point of the mining access road and the number of step lengths, the mining access road design is divided into a plurality of first-order design schemes;

[0026] If there are mining access line segments that can be further divided in the first-order design, based on the starting point of each mining access line segment and the value of the number of step lengths, the mining access line segments are further divided into mining access design segments until there are no more mining access line segments that can be further divided;

[0027] Based on the optimal loss depletion function, the loss depletion value of each recovery access line segment is obtained respectively.

[0028] In a second aspect, an embodiment of the present application provides an underground mine recovery route design device, comprising:

[0029] An acquisition module is used to acquire design parameters of an underground mine recovery access road and an ore body boundary line above the recovery access road, wherein the design parameters include: a first length value, a second length value, a third length value and a slope value, wherein the first length value represents the minimum unit engineering length of the recovery access road, the second length value represents the step length of the recovery access road, the third length value represents the projected length of the ore body boundary line, and the slope value represents the maximum slope of the recovery access road;

[0030] A construction module, used to construct an optimal loss depletion function of the mining approach based on the ore body boundary line, the first length value, the second length value and the slope value;

[0031] An optimization design module is used to generate a design scheme for the mining route of the underground mine based on the ore body boundary line, the first length value, the second length value, the third length value and the optimal loss depletion function.

[0032] In some embodiments, the ore body boundary line is composed of a point sequence {P0, P1, ..., P n}, any point P in the point sequence i The coordinates of (x i ,y i ), the optimal loss depletion function of the mining approach constructed by the construction module is expressed as follows:

[0033] f(x,x i ,l+Δl×k)=a i,k x+b i,k ,x∈[x i ,x i +l+Δl×k]

[0034] Wherein, l is the first length value, Δl is the second length value, k is an integer greater than or equal to 0, and a i,k and b i,k are the first fitting coefficient and the second fitting coefficient respectively. i,k |>|αmax |When a i,k =α max , α max is the slope value.

[0035] In a third aspect, an embodiment of the present application provides an electronic device, comprising: a processor and a memory for storing a computer program that can be run on the processor, wherein the processor, when running the computer program, executes the steps of the method described in the first aspect of the embodiment of the present application.

[0036] In a fourth aspect, an embodiment of the present application provides a storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the method described in the first aspect of the embodiment of the present application are implemented.

[0037] In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the method described in the first aspect of the embodiment of the present application.

[0038] The technical solution provided by the embodiment of the present application obtains the design parameters of the underground mine recovery route and the ore body boundary line above the recovery route. The design parameters include: a first length value, a second length value, a third length value and a slope value. The first length value represents the minimum unit engineering length of the recovery route, the second length value represents the step length of the recovery route, the third length value represents the projection length of the ore body boundary line, and the slope value represents the maximum slope of the recovery route; based on the ore body boundary line, the first length value, the second length value and the slope value, the optimal loss and depletion function of the recovery route is constructed; based on the ore body boundary line, the first length value, the second length value, the third length value and the optimal loss and depletion function, the design scheme of the recovery route of the underground mine is generated. In this way, the problems of large randomness and large workload in manual interactive design can be effectively avoided, and the automation level of the design can be improved; in addition, the loss rate and depletion rate in the ore recovery process corresponding to the design results can reach the global optimum, thereby improving the overall performance of the recovery route design. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 A schematic diagram of a flow chart of a method for designing an underground mine recovery route in an embodiment of the present application;

[0040] Figure 2 A schematic diagram of the boundary line of the ore body in an application example of this application;

[0041] FIG. 3A to FIG. 3E This is a schematic diagram of the principle of one-stage calculation in the design of the mining access road in an application example of this application.

[0042] FIG. 4A to FIG. 4EThis is a schematic diagram of the principle of the two-stage calculation in the design of the mining access road in an application example of this application;

[0043] Figure 5 This is a schematic diagram of the design results of the mining access road in an application example of this application;

[0044] Figure 6 This is a schematic diagram of the structure of an underground mine recovery route design device in an embodiment of the present application;

[0045] Figure 7 It is a schematic diagram of the structure of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0046] The present application is further described in detail below in conjunction with the accompanying drawings and embodiments.

[0047] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein in the specification of this application are only for the purpose of describing specific embodiments and are not intended to limit this application.

[0048] The present application embodiment provides a method for designing an underground mine recovery route. Figure 1 As shown, the method includes:

[0049] Step 101, obtaining the design parameters of the underground mine mining access and the ore body boundary line above the mining access, the design parameters including: a first length value, a second length value, a third length value and a slope value, the first length value represents the minimum unit engineering length of the mining access, the second length value represents the step length of the mining access, the third length value represents the projection length of the ore body boundary line, and the slope value represents the maximum slope of the mining access.

[0050] For example, the three-dimensional model of the ore body may be sectioned along a longitudinal section perpendicular to the orientation of the mining access road, and the boundary line of the ore body above the mining access road may be extracted.

[0051] For example, the design parameters of the underground mine recovery route include: the minimum unit engineering length l of the recovery route (i.e., the first length value), the step length Δl of the recovery route (i.e., the second length value), the maximum slope α of the recovery route max (i.e. slope value), projection length L of ore body boundary line (i.e. the length of ore body boundary line along the projection of mining approach, corresponding to the third length value mentioned above).

[0052] Step 102: constructing an optimal loss depletion function of the mining approach based on the ore body boundary line, the first length value, the second length value and the slope value.

[0053] For example, the ore body boundary line is composed of a point sequence {P0, P1, ..., P n}, any point P in the point sequence i The coordinates of (x i ,y i ), the optimal loss depletion function of the mining approach constructed is expressed as follows:

[0054] f(x,x i ,l+Δl×k)=a i,k x+b i,k ,x∈[x i ,x i +l+Δl×k]

[0055] Wherein, l is the first length value, Δl is the second length value, k is an integer greater than or equal to 0, and a i,k and b i,k are the first fitting coefficient and the second fitting coefficient respectively. i,k |>|α max |When a i,k =α max , α max is the slope value.

[0056] Step 103: Generate a design plan for the mining approach of the underground mine based on the ore body boundary line, the first length value, the second length value, the third length value and the optimal loss depletion function.

[0057] It is understandable that the embodiments of the present application can effectively avoid the problems of high randomness and high workload in manual interactive design, and improve the automation level of the design; in addition, it can also achieve the global optimum of the loss rate and depletion rate in the ore recovery process corresponding to the design results, thereby improving the overall performance of the recovery route design. While achieving the results of the underground mine recovery route design to meet the design parameter requirements, it ensures that the loss rate and depletion rate in the ore recovery process are the lowest.

[0058] Exemplarily, the method further includes:

[0059] Solving the first fitting coefficient and the second fitting coefficient specifically includes:

[0060] Assume that the boundary line of the ore body is at the horizontal coordinate x i The vertical coordinate value at i , in the horizontal coordinate x i +l+Δl×k is y i,k ;

[0061] The ore body boundary line is at point (x i ,y i) and point (x i +l+Δl×k,y i,k ) is set to the point sequence consisting of all points between {(x0′,y0′),(x1′,y1′),...,(x M ′,y M ′)}, and find the point sequence {(x0′,y0′),(x1′,y1′),...,(x M ′,y M ′)}, the loss depletion value is expressed as follows:

[0062]

[0063] Wherein, H(x′,k) is the loss depletion value;

[0064] Partial derivatives of the first fitting coefficient and the second fitting coefficient are respectively obtained based on the loss depletion value to obtain the first fitting coefficient and the second fitting coefficient.

[0065] Exemplarily, the generating a design scheme of the mining approach of the underground mine based on the ore body boundary line, the first length value, the second length value, the third length value and the optimal loss depletion function includes:

[0066] Based on the ore body boundary line, the first length value, the second length value, the third length value and the optimal loss and dilution function, the loss and dilution value of each mining route sub-segment in the mining route design is obtained;

[0067] The sums of the loss and depletion values ​​of the various mining route designs are compared, and the mining route design with the smallest sum of the loss and depletion values ​​is used as the target design scheme for the mining route of the underground mine.

[0068] It can be understood that the optimal loss and depletion function constructed based on the embodiment of the present application can automatically obtain the loss and depletion values ​​of each mining route sub-section under the mining route design, and then select the mining route design with the smallest sum of loss and depletion values ​​as the target design scheme, which can avoid the problem of manual interactive design falling into local optimality and achieve the loss rate and depletion rate in the ore mining process corresponding to the design results to reach the global optimal.

[0069] Exemplarily, the step of obtaining the loss and dilution value of each mining route sub-segment in the mining route design based on the ore body boundary line, the first length value, the second length value, the third length value and the optimal loss and dilution function includes:

[0070] Based on the starting point of the mining access road and the number of step lengths, the mining access road design is divided into a plurality of first-order design schemes;

[0071] If there are mining access line segments that can be further divided in the first-order design, based on the starting point of each mining access line segment and the value of the number of step lengths, the mining access line segments are further divided into mining access design segments until there are no more mining access line segments that can be further divided;

[0072] Based on the optimal loss depletion function, the loss depletion value of each recovery access line segment is obtained respectively.

[0073] Exemplarily, the loss and depletion value of a mining access line segment may be the sum of squares of deviations between the ordinate value of a point on the ore body boundary line corresponding to the mining access line segment and the ordinate value of a corresponding point fitted by an optimal loss and depletion function.

[0074] In an application example, it is assumed that the above sum of squared deviations is expressed as follows:

[0075] The boundary line of the ore body is at point (x i ,y i ) and point (x i +l+Δl×k,y i,k ) is set to the point sequence consisting of all points between {(x0′,y0′),(x1′,y1′),...,(x M ′,y M ′)}, then the sum of squared deviations is expressed as follows:

[0076] That is, it corresponds to the loss depletion value H(x′,k).

[0077] It can be understood that the mining access design of the embodiment of the present application is a multi-stage dynamic programming problem. The mining access design is exemplarily described below, which specifically includes the following steps:

[0078] (1) Define the result of mining route optimization design as function g(x″,L);

[0079] (2), x″=0;

[0080] (3) Calculation of the value range of k:

[0081] The result of the mining approach design is composed of one line segment or multiple line segments, so l+Δl×k∈[l,Ll] or l+Δl×k=L, so the value of k is [0,floor(L-2l)] or floor(Ll), where floor() represents the floor rounding function.

[0082] (4) Calculate the loss depletion value H(x″,k) under different values ​​of k

[0083] (5)

[0084] (6) In the above formula

[0085] g(Llx″,L),g(Ll-Δl-x″,L),g(Ll-2Δl-x″,L),...,

[0086] g[Ll-floor(L-2l)×Δl-x″,L]

[0087] As a sub-stage, set x″ to

[0088] Llx″,Ll-Δl-x″,Ll-2Δl-x″,Ll-floor(L-2l)×Δl-x″

[0089] Iterate the calculation according to steps (3) to (6) until there is no sub-stage in g(x″,L). Take the element with the smallest value in g(x″,L) as the design result of the mining route.

[0090] The underground mine recovery route design method of the embodiment of the present application is exemplarily described below with reference to an application example.

[0091] In an underground mine, the 3D model of the ore body is cut on a longitudinal section perpendicular to the direction of the mining access road, and the boundary line of the ore body above the mining access road is extracted, such as Figure 2 shown.

[0092] The design parameters for optimization of underground mine access design include: the minimum unit engineering length of the access is 50m, the step length of the access is 10m, the maximum slope of the access is 0.15, and the projection length of the ore body boundary line is 200m.

[0093] The mining schedule design is regarded as a multi-stage dynamic programming problem, and the result of the mining route optimization design is defined as the function g(0,200).

[0094] One-stage calculation:

[0095] The value of k is 0, 1, 2,…, 10, 15.

[0096] When k is 0, that is, the first 50m of the ore body boundary line along the X-axis is a segment, and the optimal loss and dilution function is constructed to fit a line segment with the minimum loss and dilution value of this segment, which is set to H(0,0). The last 150m is taken as the next sub-stage to be optimized.

[0097] When the value of k is 1, that is, the first 60m of the ore body boundary line along the X-axis is a segment, and the optimal loss and dilution function is constructed to fit a line segment with the minimum loss and dilution value of this segment, which is set to H(0,1). The last 140m is taken as the next sub-stage to be optimized.

[0098] When the value of k is 2, that is, the first 70m of the ore body boundary line along the X-axis is a segment, and the optimal loss and dilution function is constructed to fit a line segment with the minimum loss and dilution value of this segment, which is set as H(0,2). The last 130m is taken as the next sub-stage to be optimized.

[0099] And so on.

[0100] When the value of k is 10, that is, the first 150m of the ore body boundary line along the X-axis is a segment, and the optimal loss and dilution function is constructed to fit a line segment with the minimum loss and dilution value of this segment, which is set as H(0,10), and the last 50m is used as the next sub-stage to be optimized.

[0101] When k is 15, that is, the 200m section of the ore body boundary along the X-axis is a segment, and the optimal loss and dilution function is constructed to fit a line segment with the minimum loss and dilution value of this segment, which is set to H(0,15), and there is no next sub-stage.

[0102] H(0,0)+g(50,200)

[0103] H(0,1)+g(60,200)

[0104] H(0,2)+g(70,200)

[0105] …

[0106] H(0,10)+g(150,200)

[0107] H(0,15)

[0108] The minimum value of the sum of the above loss and dilution values ​​is selected as the optimal result of mining schedule design.

[0109] g(0,200)=min{

[0110] H(0,0)+g(50,200),

[0111] H(0,1)+g(60,200),

[0112] H(0,2)+g(70,200), ...,

[0113] H(0,10)+g(150,200),

[0114] H(0,15)}

[0115] The above stage calculation is as follows FIG. 3A to FIG. 3E shown.

[0116] It is understandable that g(50,200), g(60,200), ..., g(150,200) have sub-stages, and g(50,200) is taken as an example for the two-stage calculation.

[0117] Two-stage calculation:

[0118] x″=50

[0119] The values ​​of k are 0, 1, 2,…, 5, 10.

[0120] When the value of k is 0, that is, the ore body boundary line from 50m to 100m along the X-axis is a segment. Through the construction of the optimal loss and dilution function, a line segment is fitted, and the loss and dilution value of this segment is the smallest, which is set to H(50,0). The last 100m is used as the next sub-stage to be optimized.

[0121] When k is 1, that is, the ore body boundary line is from 50m to 110m along the X-axis as a segment. Through the construction of the optimal loss and dilution function, a line segment is fitted, and the loss and dilution value of this segment is the smallest, which is set to H(50,1). The last 90m is taken as the next sub-stage to be optimized.

[0122] When the value of k is 2, that is, the ore body boundary line is from 50m to 120m along the X-axis as a section. Through the construction of the optimal loss and dilution function, a line segment is fitted, and the loss and dilution value of this segment is the smallest, which is set as H(50,2). The last 80m is taken as the next sub-stage to be optimized.

[0123] And so on.

[0124] When the value of k is 5, that is, the ore body boundary line is from 50m to 150m along the X-axis as a section. Through the construction of the optimal loss and dilution function, a line segment is fitted, and the loss and dilution value of this segment is the smallest, which is set as H(50,5). The last 50m is taken as the next sub-stage to be optimized.

[0125] When k is 10, that is, the ore body boundary line is from 50m to 200m along the X-axis as a segment, and the optimal loss and dilution function is constructed to fit a line segment with the minimum loss and dilution value of this segment, which is set to H(50,10), and there is no next sub-stage.

[0126] like FIG. 4A to FIG. 4E As shown, H(0,0)+g(50,200) can be further expanded into

[0127] H(0,0)+H(50,0)+g(100,200)

[0128] H(0,0)+H(50,1)+g(110,200)

[0129] H(0,0)+H(50,2)+g(120,200)

[0130] …

[0131] H(0,0)+H(50,5)+g(150,200)

[0132] H(0,0)+H(50,10)

[0133] Since g(100,200), g(110,200),..., g(150,200) have sub-stages, further three-stage calculation is required. Similarly, after three-stage and four-stage calculations, there are no sub-stages. The design with the smallest loss and dilution value in g(0,200) is taken as the design result of the mining route, such as Figure 5 shown.

[0134] In order to implement the method of the embodiment of the present application, the embodiment of the present application also provides an underground mine recovery route design device, which is set in an electronic device, such as Figure 6 As shown, the underground mine recovery route design device includes: an acquisition module 601, a construction module 602 and an optimization design module 603.

[0135] The acquisition module 601 is used to obtain the design parameters of the underground mine recovery route and the ore body boundary line above the recovery route, the design parameters include: a first length value, a second length value, a third length value and a slope value, the first length value represents the minimum unit engineering length of the recovery route, the second length value represents the step length of the recovery route, the third length value represents the projection length of the ore body boundary line, and the slope value represents the maximum slope of the recovery route; the construction module 602 is used to construct the optimal loss depletion function of the recovery route based on the ore body boundary line, the first length value, the second length value and the slope value; the optimization design module 603 is used to generate a design scheme for the recovery route of the underground mine based on the ore body boundary line, the first length value, the second length value, the third length value and the optimal loss depletion function.

[0136] For example, the ore body boundary line is composed of a point sequence {P0, P1, ..., P n}, any point P in the point sequence i The coordinates of (x i ,y i ), the optimal loss impoverishment function of the mining approach constructed by the construction module 602 is expressed as follows:

[0137] f(x,xi ,l+Δl×k)=a i,k x+b i,k ,x∈[x i ,x i +l+Δl×k]

[0138] Wherein, l is the first length value, Δl is the second length value, k is an integer greater than or equal to 0, and a i,k and b i,k are the first fitting coefficient and the second fitting coefficient respectively. i,k |>|α max |When a i,k =α max , α max is the slope value.

[0139] Exemplarily, the construction module 602 solves the first fitting coefficient and the second fitting coefficient, specifically including:

[0140] Assume that the boundary line of the ore body is at the horizontal coordinate x i The vertical coordinate value at i , in the horizontal coordinate x i +l+Δl×k is y i,k ;

[0141] The ore body boundary line is at point (x i ,y i ) and point (x i +l+Δl×k,y i,k ) is set to the point sequence consisting of all points between {(x0′,y0′),(x1′,y1′),...,(x M ′,y M ′)}, and find the point sequence {(x0′,y0′),(x1′,y1′),...,(x M ′,y M ′)}, the loss depletion value is expressed as follows:

[0142]

[0143] Wherein, H(x′,k) is the loss depletion value;

[0144] Partial derivatives of the first fitting coefficient and the second fitting coefficient are respectively obtained based on the loss depletion value to obtain the first fitting coefficient and the second fitting coefficient.

[0145] Exemplarily, the optimization design module 603 is specifically used for:

[0146] Based on the ore body boundary line, the first length value, the second length value, the third length value and the optimal loss and dilution function, the loss and dilution value of each mining route sub-segment in the mining route design is obtained;

[0147] The sums of the loss and depletion values ​​of the various mining route designs are compared, and the mining route design with the smallest sum of the loss and depletion values ​​is used as the target design scheme for the mining route of the underground mine.

[0148] Exemplarily, the optimization design module 603 obtains the loss and dilution value of each mining route sub-segment of the mining route design segment based on the ore body boundary line, the first length value, the second length value, the third length value and the optimal loss and dilution function, including:

[0149] Based on the starting point of the mining access road and the number of step lengths, the mining access road design is divided into a plurality of first-order design schemes;

[0150] If there are mining access line segments that can be further divided in the first-order design, based on the starting point of each mining access line segment and the value of the number of step lengths, the mining access line segments are further divided into mining access design segments until there are no more mining access line segments that can be further divided;

[0151] Based on the optimal loss depletion function, the loss depletion value of each recovery access line segment is obtained respectively.

[0152] In actual application, the acquisition module 601, the construction module 602 and the optimization design module 603 can be implemented by a processor in the electronic device. Of course, the processor needs to run the computer program in the memory to implement its functions.

[0153] It should be noted that: the underground mine recovery route design device provided in the above embodiment only uses the division of the above program modules as an example when designing the underground mine recovery route. In actual applications, the above processing can be assigned to different program modules as needed, that is, the internal structure of the device is divided into different program modules to complete all or part of the processing described above. In addition, the underground mine recovery route design device provided in the above embodiment and the underground mine recovery route design method embodiment belong to the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0154] Based on the hardware implementation of the above program modules and in order to implement the method of the embodiment of the present application, the embodiment of the present application also provides an electronic device. Figure 7 Only an exemplary structure of the device is shown, not all structures, and it can be implemented as needed. Figure 7 Partial or complete structure shown.

[0155] like Figure 7 As shown, the device 700 provided in the embodiment of the present application includes: at least one processor 701, a memory 702, a user interface 703 and at least one network interface 704. The various components in the electronic device 700 are coupled together through a bus system 705. It can be understood that the bus system 705 is used to realize the connection and communication between these components. In addition to the data bus, the bus system 705 also includes a power bus, a control bus and a status signal bus. However, for the sake of clarity, in Figure 7 Various buses are labeled as bus system 705.

[0156] The user interface 703 may include a display, a keyboard, a mouse, a trackball, a click wheel, keys, buttons, a touch pad or a touch screen.

[0157] The memory 702 in the embodiment of the present application is used to store various types of data to support the operation of the electronic device. Examples of such data include: any computer program used to operate on the electronic device.

[0158] The underground mine recovery route design method disclosed in the embodiment of the present application can be applied to the processor 701, or implemented by the processor 701. The processor 701 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the underground mine recovery route design method can be completed by the hardware integrated logic circuit or software instructions in the processor 701. The above-mentioned processor 701 can be a general-purpose processor, a digital signal processor (DSP, Digital Signal Processor), or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The processor 701 can implement or execute the various methods, steps and logic block diagrams disclosed in the embodiment of the present application. The general-purpose processor can be a microprocessor or any conventional processor, etc. In combination with the steps of the method disclosed in the embodiment of the present application, it can be directly embodied as a hardware decoding processor to execute, or it can be executed by a combination of hardware and software modules in the decoding processor. The software module can be located in a storage medium, which is located in the memory 702. The processor 701 reads the information in the memory 702 and completes the steps of the underground mine recovery route design method provided in the embodiment of the present application in combination with its hardware.

[0159] In an exemplary embodiment, the electronic device may be implemented by one or more application specific integrated circuits (ASIC), DSP, programmable logic device (PLD), complex programmable logic device (CPLD), FPGA, general purpose processor, controller, microcontroller (MCU), microprocessor, or other electronic components to execute the aforementioned method.

[0160] It can be understood that the memory 702 can be a volatile memory or a non-volatile memory, and can also include both volatile and non-volatile memories. Among them, the non-volatile memory can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a magnetic random access memory (FRAM), a flash memory, a magnetic surface memory, an optical disk, or a compact disc read-only memory (CD-ROM); the magnetic surface memory can be a disk memory or a tape memory. The volatile memory can be a random access memory (RAM), which is used as an external cache. By way of example but not limitation, many forms of RAM are available, such as static random access memory (SRAM), synchronous static random access memory (SSRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), direct memory bus random access memory (DRRAM). The memory described in the embodiments of the present application is intended to include but is not limited to these and any other suitable types of memory.

[0161] In an exemplary embodiment, the present application also provides a storage medium, namely a computer storage medium, which may be a computer-readable storage medium, for example, a memory 702 storing a computer program, and the computer program may be executed by a processor 701 of an electronic device 700 to complete the steps described in the method of the present application. The computer-readable storage medium may be a memory such as a ROM, a PROM, an EPROM, an EEPROM, a Flash Memory, a magnetic surface memory, an optical disk, or a CD-ROM.

[0162] In an exemplary embodiment, the embodiment of the present application further provides a computer program product, including a computer program, and the above-mentioned computer program can be executed by the processor 701 of the electronic device 700 to complete the steps described in the method of the embodiment of the present application.

[0163] It should be noted that: "first", "second", etc. are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0164] In addition, the technical solutions described in the embodiments of the present application can be combined arbitrarily without conflict.

[0165] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for designing an underground mine recovery route, characterized in that: include: Acquire design parameters of an underground mine recovery access road and an ore body boundary line above the recovery access road, wherein the design parameters include: a first length value, a second length value, a third length value and a slope value, wherein the first length value represents the minimum unit engineering length of the recovery access road, the second length value represents the step length of the recovery access road, the third length value represents the projected length of the ore body boundary line, and the slope value represents the maximum slope of the recovery access road; Based on the ore body boundary line, the first length value, the second length value and the slope value, constructing an optimal loss depletion function of the mining approach; Generate a design scheme for a mining route of the underground mine based on the ore body boundary line, the first length value, the second length value, the third length value and the optimal loss depletion function; The ore body boundary line is composed of a point sequence {P0, P1, ..., P n }, any point P in the point sequence i The coordinates of (x i ,y i ), the optimal loss depletion function of the mining approach constructed is expressed as follows: f(x,x i ,l+Δl×k)=a i,k x+b i,k ,x∈[x i ,x i +l+Δl×k] Wherein, l is the first length value, Δl is the second length value, k is an integer greater than or equal to 0, and a i,k and b i,k are the first fitting coefficient and the second fitting coefficient respectively. i,k |>|α max |When a i,k =α max , α max is the slope value; The method of generating a design scheme for a mining route of the underground mine based on the ore body boundary line, the first length value, the second length value, the third length value and the optimal loss depletion function comprises: Based on the ore body boundary line, the first length value, the second length value, the third length value and the optimal loss and dilution function, the loss and dilution value of each mining route sub-segment in the mining route design is calculated; Comparing the sum of the loss and dilution values ​​of various mining route designs, and taking the mining route design with the smallest sum of the loss and dilution values ​​as the target design scheme for the mining route of the underground mine; The method further comprises: Solving the first fitting coefficient and the second fitting coefficient specifically includes: Assume that the boundary line of the ore body is at the horizontal coordinate x i The vertical coordinate value at i , in the horizontal coordinate x i The vertical coordinate value at +l+Δl×k is y i,k ; The ore body boundary line is at point (x i ,y i ) and point (x i +l+Δl×k,y i,k ) is set to the point sequence consisting of all points between {(x0′,y0′),(x1′,y1′),...,(x M ′,y M ′)}, and find the point sequence {(x0′,y0′),(x1′,y1′),...,(x M ′,y M ′)}, the loss depletion value is expressed as follows: Wherein, H(x′,k) is the loss depletion value; Partial derivatives of the first fitting coefficient and the second fitting coefficient are respectively obtained based on the loss depletion value to obtain the first fitting coefficient and the second fitting coefficient.

2. The method according to claim 1, characterized in that The step of obtaining the loss and dilution value of each mining route sub-segment in the mining route design based on the ore body boundary line, the first length value, the second length value, the third length value and the optimal loss and dilution function comprises: Based on the starting point of the mining access road and the number of step lengths, the mining access road design is divided into a plurality of first-order design schemes; If there are mining access line segments that can be further divided in the first-order design, based on the starting point of each mining access line segment and the value of the number of step lengths, the mining access line segments are further divided into mining access design segments until there are no more mining access line segments that can be further divided; Based on the optimal loss depletion function, the loss depletion value of each recovery access line segment is obtained respectively.

3. An underground mine recovery route design device, characterized in that: include: An acquisition module is used to acquire design parameters of an underground mine recovery access road and an ore body boundary line above the recovery access road, wherein the design parameters include: a first length value, a second length value, a third length value and a slope value, wherein the first length value represents the minimum unit engineering length of the recovery access road, the second length value represents the step length of the recovery access road, the third length value represents the projected length of the ore body boundary line, and the slope value represents the maximum slope of the recovery access road; A construction module, used to construct an optimal loss depletion function of the mining approach based on the ore body boundary line, the first length value, the second length value and the slope value; An optimization design module, used for generating a design scheme of a mining route of the underground mine based on the ore body boundary line, the first length value, the second length value, the third length value and the optimal loss depletion function; The ore body boundary line is composed of a point sequence {P0,P1,...,P n }, any point P in the point sequence i The coordinates of (x i ,y i ), the optimal loss depletion function of the mining approach constructed by the construction module is expressed as follows: f(x,x i ,l+Δl×k)=a i,k x+b i,k ,x∈[x i ,x i +l+Δl×k] Wherein, l is the first length value, Δl is the second length value, k is an integer greater than or equal to 0, and a i,k and b i,k are the first fitting coefficient and the second fitting coefficient respectively. i,k |>|α max |When a i,k =α max , α max is the slope value; The optimization design module is specifically used for: Based on the ore body boundary line, the first length value, the second length value, the third length value and the optimal loss and dilution function, the loss and dilution value of each mining route sub-segment in the mining route design is calculated; Comparing the sum of the loss and dilution values ​​of various mining route designs, and taking the mining route design with the smallest sum of the loss and dilution values ​​as the target design scheme for the mining route of the underground mine; The construction module solves the first fitting coefficient and the second fitting coefficient, specifically including: Assume that the boundary line of the ore body is at the horizontal coordinate x i The vertical coordinate value at i , in the horizontal coordinate x i The vertical coordinate value at +l+Δl×k is y i,k ; The ore body boundary line is at point (x i ,y i ) and point (x i +l+Δl×k,y i,k ) is set to the point sequence consisting of all points between {(x0′,y0′),(x1′,y1′),...,(x M ′,y M ′)}, and find the point sequence {(x0′,y0′),(x1′,y1′),...,(x M ′,y M ′)}, the loss depletion value is expressed as follows: Wherein, H(x′,k) is the loss depletion value; Partial derivatives of the first fitting coefficient and the second fitting coefficient are respectively obtained based on the loss depletion value to obtain the first fitting coefficient and the second fitting coefficient.

4. An electronic device, characterized in that: include: A processor and a memory for storing a computer program that can be executed on the processor, wherein: The processor is used to execute the steps of the method according to any one of claims 1 to 2 when running a computer program.

5. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 2 are implemented.

6. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 2 are implemented.

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