Underground mine blast hole charging optimization method, device, equipment and storage medium

Abstract

The application discloses a kind of underground mine blast hole's charging optimization method, device, equipment and storage medium.The method comprises: obtaining blasting charge parameter, and blasting charge parameter characterizes the parameter requirement related to underground mine blasting charge;For each blast hole in the blasting range of underground mine, based on the interface of ore and rock, goaf boundary, roadway boundary and blasting boundary, the first set of discretization grid is generated, and the first set represents the sub-blasting range of the corresponding blast hole;For each blast hole in the blasting range of underground mine, the second set of discretization grid is generated, and the second set represents the relationship between blast hole charging and burdened ore;Based on the first set, the second set of each blast hole and the set blasting charge structure optimization model, the charging scheme of each blast hole is obtained;Wherein, the blasting charge structure optimization model maximizes the number of each grid in all first sets within the blast hole charging structure influence radius range as the optimization target, and the charging scheme of blast hole includes: charging structure.

Description

Technical Field

[0001] This application relates to the field of mining, and in particular to a method, apparatus, equipment and storage medium for optimizing the charging of explosives in underground mine blast holes. Background Technology

[0002] In underground metal mining, borehole blasting is one of the key mining procedures. Medium-deep hole blasting technology is widely used in underground mines due to its high efficiency and low cost. For mines employing medium-deep hole blasting, mining design technicians need to use drafting software to perform a large amount of repetitive blasting design work based on actual conditions. These designs need to be adjusted according to the distribution of boreholes, blasting parameters, and changes in geological conditions at different spatial locations. This extensive and repetitive blasting design work is time-consuming and labor-intensive. Furthermore, the manual adjustment of design parameters during the design process can only meet basic blasting design requirements, resulting in significant subjectivity and arbitrariness.

[0003] At the same time, in order to further improve the blasting effect, the results of the blasting charge design need to meet the requirement that the amount of ore carried by the unit explosive should be as uniform as possible. Manual interactive adjustment of the design method often fails to meet this condition, thus resulting in a high degree of room for improvement in blasting quality. Summary of the Invention

[0004] In view of this, the embodiments of this application provide a method, apparatus, equipment and storage medium for optimizing the charging of blast holes in underground mines, aiming to effectively improve the design efficiency of the charging structure of blast holes in underground mines and the blasting effect in underground mines.

[0005] The technical solution of this application embodiment is implemented as follows:

[0006] In a first aspect, embodiments of this application provide a method for optimizing the charging of explosive charges in underground mine boreholes, including:

[0007] Obtain blasting charge parameters, wherein the blasting charge parameters characterize the parameter requirements related to blasting charges in the underground mine;

[0008] For each blast hole within the blasting range of the underground mine, a first set of discretized grids is generated based on the rock-mineral interface, goaf boundary, roadway boundary, and blasting boundary. The first set represents the sub-blasting range of the corresponding blast hole.

[0009] For each blast hole within the blasting range of the underground mine, a second set of discretized grids is generated, which represents the relationship between the charge and the amount of ore carried in the blast hole.

[0010] Based on the first set, the second set, and the set explosive charge structure optimization model for each borehole, the charging scheme for each borehole is obtained.

[0011] The optimization model for the explosive charge structure aims to maximize the number of each grid in the first set within the radius of influence of the borehole charge structure. The borehole charge scheme includes the borehole charge structure.

[0012] In the above scheme, the optimized model for the explosive charge structure is as follows:

[0013]

[0014]

[0015] Where i is the index of the discretized grid, x i x is the first decision variable. i =1 indicates that the i-th discretized mesh is within the radius of influence of the borehole charge structure, x i =0 indicates that the i-th discretized mesh is not within the radius of influence of the borehole charge structure, st represents the constraint rule, A represents all the first sets, y j,p y is the second decision variable. j,p =1 indicates that the p-th charge structure for the j-th borehole is the final charge structure, y j,p =0 indicates that the p-th charge structure of the j-th borehole is not the final charge structure, H represents the set of boreholes within the blasting range, F j Let x represent the set of charge structures for the j-th borehole, p represent the index of the charge structure, and x represent the set of charge structures for the j-th borehole. j,p.k x is the third decision variable. j,p.k =1 represents the set of ore-bearing relationships B corresponding to the p-th charge structure of the j-th borehole. j Discretized grid b in j,k Within the radius of influence of the borehole charging structure, x j,p.k =0 represents the set of ore-bearing relationships B corresponding to the p-th charge structure of the j-th borehole. j Discretized grid b in j,k Not within the influence radius of the borehole charging structure, s j,p β represents the charge length of the p-th charge structure for the j-th borehole. l Indicates the linear density of the propellant charge, s b d represents the area of ​​the blasting zone. c Indicates the spacing between blasting rows, β b This indicates the unit consumption of explosives.

[0016] In the above scheme, the first set of discretized meshes generated for each blast hole within the blasting range of the underground mine, based on the core point coordinates of the drilling rig, the ore-rock interface, the goaf boundary, the roadway boundary, and the blasting boundary, includes:

[0017] Based on the rock-ore interface, goaf boundary, roadway boundary, and blasting boundary, the first minimum closed loop is generated;

[0018] For each blast hole, if the number of intersections between the blast hole and the rock-ore interface, the goaf boundary, the roadway boundary, and the blasting boundary is determined to be one, then a second minimum closed loop is constructed based on the first minimum closed loop and the midpoint of the blast hole, and the second minimum closed loop is discretized based on a grid of a set size to obtain a first set of discretized grids.

[0019] If it is determined that the number of intersections between the blast hole and the rock-ore interface, the goaf boundary, the roadway boundary, and the blasting boundary is greater than one, then a third minimum closed loop is constructed based on the first minimum closed loop, the starting point of the blast hole, and the midpoint of the first intersection point. The third minimum closed loop is then discretized based on a grid of a set size to obtain the first set.

[0020] In the above scheme, generating a second set of discretized meshes for each blast hole within the blasting range of the underground mine includes:

[0021] For each blast hole within the blasting range of the underground mine, select the grids in the first set whose centroids are less than a set distance from the corresponding blast hole's charge structure to obtain the second set; wherein, the set distance characterizes the radius of influence of the charge structure.

[0022] The method in the above scheme further includes:

[0023] For any two boreholes, if the minimum distance between their charge structures is less than the set distance, then the charge structures of the two boreholes are determined to be mutually exclusive.

[0024] Secondly, embodiments of this application provide a charging optimization device for underground mine blast holes, comprising:

[0025] The acquisition module is used to acquire blasting charge parameters, which characterize the parameter requirements related to blasting charges in underground mines;

[0026] The first generation module is used to generate a first set of discretized grids for each blast hole within the blasting range of the underground mine, based on the rock-mineral interface, goaf boundary, roadway boundary and blasting boundary. The first set represents the sub-blasting range of the corresponding blast hole.

[0027] The second generation module is used to generate a second set of discretized grids for each blast hole within the blasting range of the underground mine. The second set represents the relationship between the blast hole charge and the amount of ore carried.

[0028] The charge arrangement module is used to obtain the charge scheme for each borehole based on the first set, the second set and the set explosive charge structure optimization model of each borehole.

[0029] The optimization model for the explosive charge structure aims to maximize the number of each grid in the first set within the radius of influence of the borehole charge structure. The borehole charge scheme includes the charge structure.

[0030] In the above scheme, the optimized model for the explosive charge structure is as follows:

[0031]

[0032]

[0033] Where i is the index of the discretized grid, x i x is the first decision variable. i =1 indicates that the i-th discretized mesh is within the radius of influence of the borehole charge structure, x i =0 indicates that the i-th discretized mesh is not within the radius of influence of the borehole charge structure, st represents the constraint rule, A represents all the first sets, y j,p y is the second decision variable. j,p =1 indicates that the p-th charge structure for the j-th borehole is the final charge structure, y j,p =0 indicates that the p-th charge structure of the j-th borehole is not the final charge structure, H represents the set of boreholes within the blasting range, F j Let x represent the set of charge structures for the j-th borehole, p represent the index of the charge structure, and x represent the set of charge structures for the j-th borehole. j,p.k x is the third decision variable. j,p.k =1 represents the set of ore-bearing relationships B corresponding to the p-th charge structure of the j-th borehole. j Discretized grid b in j,k Within the radius of influence of the borehole charging structure, x j,p.k =0 represents the set of ore-bearing relationships B corresponding to the p-th charge structure of the j-th borehole. j Discretized grid b in j,k Not within the influence radius of the borehole charging structure, s j,p β represents the charge length of the p-th charge structure for the j-th borehole. l Indicates the linear density of the propellant charge, s b d represents the area of ​​the blasting zone. c Indicates the spacing between blasting rows, β b This indicates the unit consumption of explosives.

[0034] In the above scheme, the first generation module is specifically used for:

[0035] Based on the rock-ore interface, goaf boundary, roadway boundary, and blasting boundary, the first minimum closed loop is generated;

[0036] For each blast hole, if the number of intersections between the blast hole and the rock-ore interface, the goaf boundary, the roadway boundary, and the blasting boundary is determined to be one, then a second minimum closed loop is constructed based on the first minimum closed loop and the midpoint of the blast hole, and the second minimum closed loop is discretized based on a grid of a set size to obtain a first set of discretized grids.

[0037] If it is determined that the number of intersections between the blast hole and the rock-ore interface, the goaf boundary, the roadway boundary, and the blasting boundary is greater than one, then a third minimum closed loop is constructed based on the first minimum closed loop, the starting point of the blast hole, and the midpoint of the first intersection point. The third minimum closed loop is then discretized based on a grid of a set size to obtain the first set.

[0038] Thirdly, embodiments of this application provide an electronic device, including: a processor and a memory for storing a computer program capable of running on the processor, wherein, when the processor is used to run the computer program, it executes the steps of the method described in the first aspect of embodiments of this application.

[0039] Fourthly, embodiments of this application provide a storage medium storing a computer program, which, when executed by a processor, implements the steps of the method described in the first aspect of embodiments of this application.

[0040] The technical solution provided in this application embodiment obtains blasting charge parameters, which characterize the parameter requirements related to blasting charges in underground mines. For each blast hole within the blasting range of the underground mine, a first set of discretized grids is generated based on the rock-ore interface, goaf boundary, roadway boundary, and blasting boundary. The first set represents the sub-blasting range of the corresponding blast hole. For each blast hole within the blasting range of the underground mine, a second set of discretized grids is generated, which characterizes the relationship between the blast hole charge and the amount of ore carried. Based on the first set, the second set, and a set blasting charge structure optimization model for each blast hole, the charging scheme for each blast hole is obtained. The blasting charge structure optimization model aims to maximize the number of each grid in all the first sets within the influence radius of the blast hole charging structure. The blast hole charging scheme includes: charging structure. In this way, the optimal design of the blast hole charging structure in underground mines can be achieved by combining the distribution of blast holes and the parameter requirements related to blasting charges. This ensures the uniformity of the amount of ore carried by each unit of explosive and effectively improves the blasting quality in underground mines. At the same time, it enables automated blasting charge design in underground mines, greatly reducing the workload of mining design technicians and avoiding the arbitrariness and error-proneness of manual interactive design adjustments. This effectively improves the design efficiency of blast hole charging structures and the blasting effect in underground mines. Attached Figure Description

[0041] Figure 1 This is a flowchart illustrating the method for optimizing the charging of explosive charges in underground mine blast holes according to an embodiment of this application.

[0042] Figure 2 This is a schematic diagram of the distribution of blast holes within the blasting range in a deep-hole blasting design in an underground mine, as shown in an application example of this application.

[0043] Figure 3 This is a schematic diagram of the sub-blasting range of a blast hole in an application example of this application;

[0044] Figure 4 This is a schematic diagram of the first set of blast holes in an application example of this application;

[0045] Figure 5 This is a schematic diagram of the second set of boreholes in an application example of this application;

[0046] Figure 6 This is a schematic diagram of the charge structure of the blast hole in an application example of this application;

[0047] Figure 7 This is a schematic diagram of the charging optimization device for underground mine blast holes according to an embodiment of this application;

[0048] Figure 8 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application. Detailed Implementation

[0049] The present application will now be described in further detail with reference to the accompanying drawings and embodiments.

[0050] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.

[0051] This application provides a method for optimizing the charging structure of blast holes in underground mines. This method can be applied to electronic devices with data processing capabilities, such as laptops, desktop computers, or servers, to automatically generate the charging structure for blast holes in underground mines. Figure 1 As shown, the method includes:

[0052] Step 101: Obtain the blasting charge parameters, which represent the parameter requirements related to the blasting charge in the underground mine.

[0053] Step 102: For each blast hole within the blasting range of the underground mine, a first set of discretized grids is generated based on the rock-mineral interface, goaf boundary, roadway boundary, and blasting boundary. The first set represents the sub-blasting range of the corresponding blast hole.

[0054] Step 103: For each blast hole within the blasting range of the underground mine, generate a second set of discretized grids. The second set represents the relationship between the blast hole charge and the amount of ore carried.

[0055] Step 104: Based on the first set, the second set, and the set blasting charge structure optimization model for each borehole, obtain the charging scheme for each borehole; wherein, the blasting charge structure optimization model takes maximizing the number of each grid in all the first sets within the influence radius of the borehole charging structure as the optimization objective, and the charging scheme for the borehole includes: the charging structure of the borehole.

[0056] It is understood that the embodiments of this application can combine the distribution of blast holes and the parameter requirements related to blasting charges to achieve the optimal design of the blast hole charging structure in underground mines, maximize the uniformity of the amount of ore carried by a unit of explosive, and effectively improve the blasting quality in underground mines; at the same time, it realizes the automated blasting charge design in underground mines, greatly reducing the workload of mining design technicians, and avoiding the arbitrariness and error-proneness of manual interactive design adjustments, thereby effectively improving the design efficiency of the blast hole charging structure in underground mines and the blasting effect in underground mines.

[0057] Here, the charging structure of the borehole can include the starting point and the ending point of the explosive charge inside the borehole, that is, the charging structure has a corresponding charge length.

[0058] For example, the blasting charge parameters include one or more of the following: minimum packing length, radius of influence of the charge structure, blasting row spacing, blasting area, charge linear density, and unit explosive consumption. Wherein, minimum packing length refers to the minimum length corresponding to the charge structure; radius of influence of the charge structure refers to the radius of the outward extension range of the charge structure; blasting row spacing refers to the distance between two blasting rows; blasting area refers to the area of ​​the blasting zone; charge linear density refers to the charge weight per unit charge length; and unit explosive consumption refers to the weight of explosive required for blasting one cubic meter of rock.

[0059] For example, the above-mentioned explosive charge parameters can be reasonably set based on experiments and / or expert experience.

[0060] For example, the optimized model for the explosive charge structure is as follows:

[0061]

[0062]

[0063] Where i is the index of the discretized grid, x i x is the first decision variable. i =1 indicates that the i-th discretized mesh is within the radius of influence of the borehole charge structure, x i =0 indicates that the i-th discretized mesh is not within the radius of influence of the borehole charge structure, st represents the constraint rule, A represents all the first sets, y j,p y is the second decision variable. j,p =1 indicates that the p-th charge structure for the j-th borehole is the final charge structure, y j,p =0 indicates that the p-th charge structure of the j-th borehole is not the final charge structure, H represents the set of boreholes within the blasting range, F j Let x represent the set of charge structures for the j-th borehole, p represent the index of the charge structure, and x represent the set of charge structures for the j-th borehole. j,p.k x is the third decision variable. j,p.k =1 represents the set of ore-bearing relationships B corresponding to the p-th charge structure of the j-th borehole. j Discretized grid b in j,k Within the radius of influence of the borehole charging structure, x j,p.k =0 represents the set of ore-bearing relationships B corresponding to the p-th charge structure of the j-th borehole. j Discretized grid b in j,k Not within the influence radius of the borehole charging structure, s j,p β represents the charge length of the p-th charge structure for the j-th borehole. l Indicates the linear density of the propellant charge, sb d represents the area of ​​the blasting zone. c Indicates the spacing between blasting rows, β b This indicates the unit consumption of explosives.

[0064] It is understandable that by solving the above-mentioned explosive charge structure optimization model, y can be obtained. j,p The charging structure of the blast hole corresponding to a value of 1 can be used to obtain the charging scheme for the blast hole. In this way, automated blasting charging design in underground mines can be realized, greatly reducing the workload of mining design technicians and avoiding the arbitrariness and error-proneness of manual interactive design adjustments. This effectively improves the design efficiency of blast hole charging structures and the blasting effect in underground mines.

[0065] For example, the first set of discretized meshes generated for each blast hole within the blasting range of the underground mine, based on the core point coordinates of the drilling rig, the ore-rock interface, the goaf boundary, the roadway boundary, and the blasting boundary, includes:

[0066] Based on the rock-ore interface, goaf boundary, roadway boundary, and blasting boundary, the first minimum closed loop is generated;

[0067] For each blast hole, if the number of intersections between the blast hole and the rock-ore interface, the goaf boundary, the roadway boundary, and the blasting boundary is determined to be one, then a second minimum closed loop is constructed based on the first minimum closed loop and the midpoint of the blast hole, and the second minimum closed loop is discretized based on a grid of a set size to obtain a first set of discretized grids.

[0068] If it is determined that the number of intersections between the blast hole and the rock-ore interface, the goaf boundary, the roadway boundary, and the blasting boundary is greater than one, then a third minimum closed loop is constructed based on the first minimum closed loop, the starting point of the blast hole, and the midpoint of the first intersection point. The third minimum closed loop is then discretized based on a grid of a set size to obtain the first set.

[0069] It is understandable that by generating the first set in the above manner, the characterization and construction of the sub-blasting range of each blast hole can be automatically realized.

[0070] For example, generating a second set of discretized meshes for each blast hole within the blasting range of the underground mine includes:

[0071] For each blast hole within the blasting range of the underground mine, select the grids in the first set whose centroids are less than a set distance from the corresponding blast hole's charge structure to obtain the second set; wherein, the set distance characterizes the radius of influence of the charge structure.

[0072] It is understood that in the embodiments of this application, a second set representing the relationship between the charge and the amount of ore carried in each borehole is constructed, which is beneficial to the subsequent optimization design of the charge structure of each borehole.

[0073] Exemplarily, the method further includes:

[0074] For any two boreholes, if the minimum distance between their charge structures is less than the set distance, then the charge structures of the two boreholes are determined to be mutually exclusive.

[0075] It is understood that, in the embodiments of this application, by introducing the judgment of mutual exclusion of charge structures, the charge structure design of the blast hole can be further optimized, thereby meeting the requirement that the amount of ore carried by the unit explosive is as uniform as possible.

[0076] The method of this application embodiment will be illustrated below with reference to an application example.

[0077] In this application embodiment, the method for optimizing the charging of explosive charges in underground mine blast holes includes the following steps:

[0078] Step 1: Set the explosive charge parameters

[0079] It is understood that designers can input the explosive charge parameters of this application embodiment onto an electronic device using a human-computer interaction device. Here, the explosive charge parameters include: minimum packing length d. hmin Radius of influence of the charge d hr , blasting spacing d c Explosion range area s b β of the charge linear density l and the unit consumption of explosives β b .

[0080] For example, the units for minimum packing length, charge influence radius, and blasting row spacing are meters; the unit for blasting area is square meters; the unit for charge linear density is kilograms per meter (kg / m); and the unit for explosive consumption is kilograms per square meter (kg / m). 3 ).

[0081] Step 2: Extraction and Discretization of the blasting range

[0082] Based on the spatial distribution of the rock-ore interface, goaf boundary, blasting boundary, roadway boundary, and core point location, the smallest closed loop formed by all rock-ore interfaces, goaf boundaries, blasting boundaries, and roadway boundaries is first extracted.

[0083] For any given blast hole, if there is only one intersection point between the blast hole and the rock-ore interface, the goaf boundary, the blasting boundary, and the roadway boundary, the smallest closed loop containing the midpoint of the blast hole is selected as the blasting range; if there is more than one intersection point between the blast hole and the rock-ore interface, the goaf boundary, the blasting boundary, and the roadway boundary, the smallest closed loop containing the midpoint between the starting point of the blast hole and the next intersection point is selected as the blasting range.

[0084] Let the size of the discretized grid be 0.1 × 0.1 m. Discretize the blasting range according to this size. The set of all discretized grids within the blasting range is defined as A.

[0085] Step 3: Constructing a characterization of the relationship between charge quantity and ore load.

[0086] Let H be the set of boreholes. For each borehole h in H... j Construct a set B relating borehole charge and ore load. j B j The discretized mesh in B satisfies the condition: j Discretized grid b in j,k The center of mass and the borehole h j The minimum distance between the charge structures is less than d hr .

[0087] Step 4: Determining the mutual exclusivity of the charging structures between boreholes

[0088] For the borehole h j and h j′ If the minimum distance between the two charge structures is less than d hr If the two charge structures are mutually exclusive, then they are mutually exclusive.

[0089] Step 5: Constructing an Optimization Model for Blasting Charge Structure. The optimization model for the blasting charge structure of the blast holes in the underground mine is as follows:

[0090] gather:

[0091] E: The set of borehole depths, where element e j F represents the depth of the j-th borehole; j : gun hole h j A set of charge structure schemes;

[0092] S j : gun hole h j The set of charge lengths for various charge structure schemes;

[0093] parameter:

[0094] n: The number of elements in set A

[0095] index:

[0096] i, k: Indices of the discretized grid

[0097] j: Index of the borehole

[0098] Decision variables:

[0099]

[0100] y j,p The p-th charge structure scheme for the j-th borehole is the final charge structure.

[0101] Objective function:

[0102]

[0103] Constraints:

[0104] (1) Logical constraints of decision variables

[0105] x i =0 or 1,

[0106] y i,p =0 or 1,

[0107] (2) There is one and only one charging structure scheme for borehole j that is the final charging structure.

[0108]

[0109] (3) Constraints on the relationship between charge quantity and ore load

[0110]

[0111] (4) Mutual exclusion constraint of charge structure between boreholes

[0112] if y j,p With y j′,p′ Mutual exclusion of charge structures

[0113] (5) Constraints on matching total charge weight with explosive consumption per unit charge

[0114]

[0115] Step 6: Solve the optimization model of the explosive charge structure to obtain the charging scheme for the blast hole.

[0116] Solving the above model, we obtain y j,p The charge structure of the blast hole corresponding to a value of 1 is the final explosive charge structure.

[0117] In one application example, the distribution of blast holes within the blasting range of a deep-hole blasting design in an underground mine is as follows: Figure 2 As shown, Figure 2The diagram shows the following: 1. Rock-ore interface; 2. Roadway boundary; 3. Goaf boundary; 4. Blasting hole; 5. Drilling rig core point location; 6.

[0118] For example, the explosive charge parameters include: minimum packing length 1.0m, charge influence radius 1.0m, blasting row spacing 2.0m, and blasting area 170.61m². 2 The linear charge density is 4.8 kg / m and the explosive consumption is 1.41 kg / m. 3 .

[0119] Based on the spatial distribution of the rock-ore interface, goaf boundary, blasting boundary, roadway boundary, and core point location, the smallest closed loop formed by all rock-ore interfaces, goaf boundaries, blasting boundaries, and roadway boundaries is first extracted. Taking the second blast hole as an example, this blast hole intersects with only one of the rock-ore interface, goaf boundary, blasting boundary, and roadway boundary. The smallest closed loop containing the midpoint of this blast hole is selected as the blasting range. Figure 3 As shown.

[0120] Assuming the size of the discretized grid is 0.1 × 0.1 m, the blasting range is discretized according to this size. The effect of discretizing the blasting range is as follows. Figure 4 As shown.

[0121] Taking borehole h2 as an example, the relationship between the charge structure and the amount of ore it carries is constructed. This involves the set of discretized grids whose centroids are less than 1.0m from the charge structure of borehole h2. For example... Figure 5 As shown.

[0122] An optimization model for the blasting charge structure of underground mine blast holes was established and solved to obtain the final blasting charge structure as shown below. Figure 6 As shown.

[0123] To implement the method of this application embodiment, this application embodiment also provides a charging optimization device for underground mine blast holes, which is installed in electronic equipment, such as... Figure 7As shown, the underground mine blast hole charging optimization device includes: an acquisition module 701, a first generation module 702, a second generation module 703, and a charging arrangement module 704. The acquisition module 701 is used to acquire blasting charge parameters, which characterize the parameter requirements related to blasting charges in the underground mine; the first generation module 702 is used to generate a first set of discretized grids for each blast hole within the blasting range of the underground mine, based on the rock-ore interface, goaf boundary, roadway boundary, and blasting boundary, where the first set characterizes the sub-blasting range of the corresponding blast hole; the second generation module 703 is used to generate a second set of discretized grids for each blast hole within the blasting range of the underground mine, where the second set characterizes the relationship between the blast hole charge and the amount of ore carried; the charge arrangement module 704 is used to obtain the charge scheme for each blast hole based on the first set, the second set, and a set blasting charge structure optimization model; wherein, the blasting charge structure optimization model aims to maximize the number of each grid in all the first sets within the influence radius of the blast hole charge structure, and the blast hole charge scheme includes: charge structure.

[0124] For example, the optimized model for the explosive charge structure is as follows:

[0125]

[0126]

[0127] Where i is the index of the discretized grid, x i x is the first decision variable. i =1 indicates that the i-th discretized mesh is within the radius of influence of the borehole charge structure, x i =0 indicates that the i-th discretized mesh is not within the radius of influence of the borehole charge structure, st represents the constraint rule, A represents all the first sets, y j,p y is the second decision variable. j,p =1 indicates that the p-th charge structure for the j-th borehole is the final charge structure, y j,p =0 indicates that the p-th charge structure of the j-th borehole is not the final charge structure, H represents the set of boreholes within the blasting range, F j Let x represent the set of charge structures for the j-th borehole, p represent the index of the charge structure, and x represent the set of charge structures for the j-th borehole. j,p.k x is the third decision variable. j,p.k =1 represents the set of ore-bearing relationships B corresponding to the p-th charge structure of the j-th borehole. j Discretized grid b in j,k Within the radius of influence of the borehole charging structure, x j,p.k =0 represents the set of ore-bearing relationships B corresponding to the p-th charge structure of the j-th borehole. jDiscretized grid b in j,k Not within the influence radius of the borehole charging structure, s j,p β represents the charge length of the p-th charge structure for the j-th borehole. l Indicates the linear density of the propellant charge, s b d represents the area of ​​the blasting zone. c Indicates the spacing between blasting rows, β b This indicates the unit consumption of explosives.

[0128] For example, the first generation module 702 is specifically used for:

[0129] Based on the rock-ore interface, goaf boundary, roadway boundary, and blasting boundary, the first minimum closed loop is generated;

[0130] For each blast hole, if the number of intersections between the blast hole and the rock-ore interface, the goaf boundary, the roadway boundary, and the blasting boundary is determined to be one, then a second minimum closed loop is constructed based on the first minimum closed loop and the midpoint of the blast hole, and the second minimum closed loop is discretized based on a grid of a set size to obtain a first set of discretized grids.

[0131] If it is determined that the number of intersections between the blast hole and the rock-ore interface, the goaf boundary, the roadway boundary, and the blasting boundary is greater than one, then a third minimum closed loop is constructed based on the first minimum closed loop, the starting point of the blast hole, and the midpoint of the first intersection point. The third minimum closed loop is then discretized based on a grid of a set size to obtain the first set.

[0132] For example, the second generation module 703 is specifically used for:

[0133] For each blast hole within the blasting range of the underground mine, select the grids in the first set whose centroids are less than a set distance from the corresponding blast hole's charge structure to obtain the second set; wherein, the set distance characterizes the radius of influence of the charge structure.

[0134] For example, the device further includes a mutual exclusion determination module 705, which determines that the charge structures of the two boreholes are mutually exclusive if the minimum distance between their charge structures is less than the set distance.

[0135] In practical applications, the acquisition module 701, the first generation module 702, the second generation module 703, the charge placement module 704, and the mutual exclusion judgment module 705 can be implemented by a processor in an electronic device. Of course, the processor needs to run a computer program in memory to implement its functions.

[0136] It should be noted that the above-described embodiment of the underground mine blast hole charging optimization device is only illustrated by the division of the above-described program modules. In practical applications, the above processing can be assigned to different program modules as needed, that is, the internal structure of the device can be divided into different program modules to complete all or part of the processing described above. Furthermore, the underground mine blast hole charging optimization device and the underground mine blast hole charging optimization method embodiment belong to the same concept, and their specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0137] Based on the hardware implementation of the above program modules, and in order to implement the method of the embodiments of this application, the embodiments of this application also provide an electronic device. Figure 8 This is only an exemplary structure of the device, not the entire structure; it can be implemented as needed. Figure 8 The structure shown may be part or all of the structure.

[0138] like Figure 8 As shown, the device 800 provided in this embodiment includes at least one processor 801, a memory 802, a user interface 803, and at least one network interface 804. The various components in the electronic device 800 are coupled together via a bus system 805. It can be understood that the bus system 805 is used to implement communication between these components. In addition to a data bus, the bus system 805 also includes a power bus, a control bus, and a status signal bus. However, for clarity, in... Figure 8 The general labeled all buses as Bus System 805.

[0139] The user interface 803 may include a monitor, keyboard, mouse, trackball, click wheel, buttons, touchpad, or touch screen.

[0140] The memory 802 in this embodiment 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.

[0141] The method for optimizing the charging of blast holes in underground mines disclosed in this application can be applied to, or implemented by, a processor 801. The processor 801 may be an integrated circuit chip with signal processing capabilities. During implementation, each step of the method for optimizing the charging of blast holes in underground mines can be completed by integrated logic circuits in the hardware of the processor 801 or by instructions in software form. The processor 801 can be a general-purpose processor, a digital signal processor (DSP), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The processor 801 can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. A general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in the embodiments of this application can be directly manifested as execution by a hardware decoding processor, or execution 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 memory 802. The processor 801 reads the information in memory 802 and, in conjunction with its hardware, completes the steps of the underground mine blast hole loading optimization method provided in this application embodiment.

[0142] In an exemplary embodiment, the electronic device may be implemented by one or more application-specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), complex programmable logic devices (CPLDs), FPGAs, general-purpose processors, controllers, microcontrollers (MCUs), microprocessors, or other electronic components to perform the aforementioned methods.

[0143] It is understood that memory 802 can be volatile memory or non-volatile memory, or both. Non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), ferromagnetic random access memory (FRAM), flash memory, magnetic surface memory, optical disc, or compact disc read-only memory (CD-ROM); magnetic surface memory can be disk storage or magnetic tape storage. Volatile memory can be 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), SyncLink Dynamic Random Access Memory (SLDRAM), and Direct Rambus Random Access Memory (DRRAM).The memories described in the embodiments of this application are intended to include, but are not limited to, these and any other suitable types of memories.

[0144] In an exemplary embodiment, this application also provides a storage medium, namely a computer storage medium, specifically a computer-readable storage medium, such as a memory 802 storing a computer program, which can be executed by a processor 801 of an electronic device to complete the steps described in the method of this application embodiment. The computer-readable storage medium can be a ROM, PROM, EPROM, EEPROM, Flash Memory, magnetic surface memory, optical disc, or CD-ROM, etc.

[0145] It should be noted that terms such as "first" and "second" are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0146] Furthermore, the technical solutions described in the embodiments of this application can be combined arbitrarily without conflict.

[0147] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for optimizing the charging of explosive charges in underground mine blast holes, characterized in that, include: Obtain blasting charge parameters, wherein the blasting charge parameters characterize the parameter requirements related to blasting charges in the underground mine; The explosive charge parameters include: minimum packing length, radius of influence of charge structure, spacing between blasting rows, blasting area, charge linear density, and unit consumption of explosives. For each blast hole within the blasting range of the underground mine, a first set of discretized grids is generated based on the rock-mineral interface, goaf boundary, roadway boundary, and blasting boundary. The first set represents the sub-blasting range of the corresponding blast hole. For each blast hole within the blasting range of the underground mine, a second set of discretized grids is generated, which represents the relationship between the charge and the amount of ore carried in the blast hole. Based on the first set, the second set, and the set explosive charge structure optimization model for each borehole, the charging scheme for each borehole is obtained. The optimization model for the explosive charge structure aims to maximize the number of each grid in the first set within the radius of influence of the borehole charge structure. The charge scheme for the borehole includes the charge structure of the borehole. The optimized model for the explosive charge structure is as follows: ； ； Where i is the index of the discretized grid. As the first decision variable, =1 indicates that the i-th discretized mesh is within the radius of influence of the borehole charge structure. =0 indicates that the i-th discretized mesh is not within the radius of influence of the borehole charge structure, st represents the constraint rule, and A represents all the first sets. As the second decision variable, =1 indicates that the p-th charge structure for the j-th borehole is the final charge structure. =0 indicates that the p-th charge structure of the j-th borehole is not the final charge structure, and H represents the set of boreholes within the blasting range. Let p represent the set of charge structures for the j-th borehole, and p represent the index of the charge structure. As the third decision variable, =1 represents the set of ore-bearing relationships corresponding to the p-th charge structure of the j-th borehole. Discretized mesh in Within the radius of influence of the borehole charging structure =0 represents the set of ore-bearing relationships corresponding to the p-th charge structure of the j-th borehole. Discretized mesh in Not within the influence radius of the borehole charging structure. This represents the charge length of the p-th charge configuration for the j-th borehole. Indicates the linear density of the propellant charge. Indicates the area of ​​the blast. Indicates the spacing between blasting rows. This indicates the unit consumption of explosives.

2. The method according to claim 1, characterized in that, For each blast hole within the blasting range of the underground mine, a first set of discretized meshes is generated based on the ore-rock interface, goaf boundary, roadway boundary, and blasting boundary, including: Based on the rock-ore interface, goaf boundary, roadway boundary, and blasting boundary, a first minimum closed loop is generated; For each blast hole, if the number of intersections between the blast hole and the rock-ore interface, the goaf boundary, the roadway boundary, and the blasting boundary is determined to be one, then a second minimum closed loop is constructed based on the first minimum closed loop and the midpoint of the blast hole, and the second minimum closed loop is discretized based on a grid of a set size to obtain a first set of discretized grids. If it is determined that the number of intersections between the blast hole and the rock-ore interface, the goaf boundary, the roadway boundary, and the blasting boundary is greater than one, then a third minimum closed loop is constructed based on the first minimum closed loop, the starting point of the blast hole, and the midpoint of the first intersection point. The third minimum closed loop is then discretized based on a grid of a set size to obtain the first set.

3. The method according to claim 1, characterized in that, The second set of discretized meshes generated for each blast hole within the blasting range of the underground mine includes: For each blast hole within the blasting range of the underground mine, select the grids in the first set whose centroids are less than a set distance from the corresponding blast hole's charge structure to obtain the second set; wherein, the set distance characterizes the radius of influence of the charge structure.

4. The method according to claim 3, characterized in that, The method further includes: For any two boreholes, if the minimum distance between their charge structures is less than the set distance, then the charge structures of the two boreholes are determined to be mutually exclusive.

5. A device for optimizing the charging of explosive charges in underground mine blast holes, characterized in that, include: The acquisition module is used to acquire blasting charge parameters, which characterize the parameter requirements related to blasting charges in underground mines; The explosive charge parameters include: minimum packing length, radius of influence of charge structure, spacing between blasting rows, blasting area, charge linear density, and unit consumption of explosives; The first generation module is used to generate a first set of discretized grids for each blast hole within the blasting range of the underground mine, based on the rock-mineral interface, goaf boundary, roadway boundary and blasting boundary. The first set represents the sub-blasting range of the corresponding blast hole. The second generation module is used to generate a second set of discretized grids for each blast hole within the blasting range of the underground mine. The second set represents the relationship between the blast hole charge and the amount of ore carried. The charge arrangement module is used to obtain the charge scheme for each borehole based on the first set, the second set and the set explosive charge structure optimization model of each borehole. The optimization model for the explosive charge structure aims to maximize the number of each grid in the first set within the radius of influence of the borehole charge structure. The borehole charge scheme includes: charge structure. The optimized model for the explosive charge structure is as follows: ； ； Where i is the index of the discretized grid. As the first decision variable, =1 indicates that the i-th discretized mesh is within the radius of influence of the borehole charge structure. =0 indicates that the i-th discretized mesh is not within the radius of influence of the borehole charge structure, st represents the constraint rule, and A represents all the first sets. As the second decision variable, =1 indicates that the p-th charge structure for the j-th borehole is the final charge structure. =0 indicates that the p-th charge structure of the j-th borehole is not the final charge structure, and H represents the set of boreholes within the blasting range. Let p represent the set of charge structures for the j-th borehole, and p represent the index of the charge structure. As the third decision variable, =1 represents the set of ore-bearing relationships corresponding to the p-th charge structure of the j-th borehole. Discretized mesh in Within the radius of influence of the borehole charging structure =0 represents the set of ore-bearing relationships corresponding to the p-th charge structure of the j-th borehole. Discretized mesh in Not within the influence radius of the borehole charging structure. This represents the charge length of the p-th charge configuration for the j-th borehole. Indicates the linear density of the propellant charge. Indicates the area of ​​the blast. Indicates the spacing between blasting rows. This indicates the unit consumption of explosives.

6. The apparatus according to claim 5, characterized in that, The first generation module is specifically used for: Based on the rock-ore interface, goaf boundary, roadway boundary, and blasting boundary, a first minimum closed loop is generated; For each blast hole, if the number of intersections between the blast hole and the rock-ore interface, the goaf boundary, the roadway boundary, and the blasting boundary is determined to be one, then a second minimum closed loop is constructed based on the first minimum closed loop and the midpoint of the blast hole, and the second minimum closed loop is discretized based on a grid of a set size to obtain a first set of discretized grids. If it is determined that the number of intersections between the blast hole and the rock-ore interface, the goaf boundary, the roadway boundary, and the blasting boundary is greater than one, then a third minimum closed loop is constructed based on the first minimum closed loop, the starting point of the blast hole, and the midpoint of the first intersection point. The third minimum closed loop is then discretized based on a grid of a set size to obtain the first set.

7. An electronic device, characterized in that, include: The processor and memory for storing computer programs that can run on the processor, wherein, The processor, when running a computer program, performs the steps of the method according to any one of claims 1 to 4.

8. A storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 4.

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