Method, device and calculation equipment for determining side hole distance of mine blasting

Abstract

The embodiment of the present application is applicable to the field of mining technology, and provides a method, device and computing equipment for determining the side hole distance of mine blasting, the method comprising: determining a plurality of candidate side hole distances; constructing a mine blasting model according to the plurality of candidate side hole distances, wherein any of the mine blasting models comprises a plurality of grids for simulating the mine filling body, the grids comprising a near-zone grid and a far-zone grid; using the mine blasting model to simulate blasting, respectively, to obtain a plurality of blasting damage cloud maps; based on the near-zone grid and the blasting damage cloud map, calculating the damage depth and damage volume of the filling body corresponding to each candidate side hole distance; determining the optimal side hole distance of the mine during the blasting process according to the damage depth and the damage volume. Using the above method to determine a reasonable blasting side hole distance can reduce the damage and destruction of the near-zone filling body caused by blasting operations, and reduce the loss rate and bulk rate of ore.

Description

Technical Field

[0001] The embodiments of the present application belong to the field of mining technology, and in particular, relate to a method, device, and computing equipment for determining the side hole distance of mine blasting. Background Art

[0002] Pillared stopes are often used in ore mining. During the mining process in pillared stopes, blasting operations, especially side-hole blasting, can severely impact the side filling, causing a decrease in strength and an imbalance in stability. Large-scale blasting of side-holes can easily damage the filling, posing a significant threat to stope stability.

[0003] During side-hole blasting in pillar stopes, the distance between side holes is a crucial factor influencing fill stability. Too small a distance can easily damage the nearby fill, while too large a distance can lead to increased ore loss and larger lumps. Determining the optimal distance between side holes in mining blasting operations is a pressing issue for those skilled in the art. Summary of the Invention

[0004] In view of this, the embodiments of the present application provide a method, device and computing equipment for determining the side hole spacing of mine blasting, which is used to determine a reasonable side hole spacing of blasting through numerical simulation, reduce the damage and destruction of the near-zone filling body caused by blasting operations, and reduce the loss rate and large block rate of ore.

[0005] A first aspect of an embodiment of the present application provides a method for determining a mine blasting side hole distance, comprising:

[0006] determining a plurality of candidate edge hole distances;

[0007] Constructing mine blasting models respectively according to the plurality of candidate side hole distances, wherein any of the mine blasting models includes a plurality of grids for simulating mine filling bodies, the grids including near-zone grids and far-zone grids, and the size of the near-zone grids is smaller than the size of the far-zone grids;

[0008] The mine blasting model is used to simulate blasting to obtain multiple blasting damage cloud maps;

[0009] Calculating the damage depth and damage volume of the filling body corresponding to each candidate side hole distance based on the near-zone grid and the blasting damage cloud map;

[0010] The optimal side-hole distance of the mine during the blasting process is determined according to the damage depth and the damage volume.

[0011] A second aspect of an embodiment of the present application provides a device for determining a mine blasting side hole distance, comprising:

[0012] A candidate side hole distance determination module is used to determine multiple candidate side hole distances;

[0013] a mine blasting model construction module, configured to construct mine blasting models based on the plurality of candidate side-hole distances, wherein each of the mine blasting models includes a plurality of grids for simulating mine filling bodies, the grids including near-zone grids and far-zone grids, and the size of the near-zone grids is smaller than the size of the far-zone grids;

[0014] A simulated blasting module, used to respectively use the mine blasting model to simulate blasting and obtain multiple blasting damage cloud maps;

[0015] a damage calculation module, configured to calculate the damage depth and damage volume of the filling body corresponding to each of the candidate side-hole distances based on the near-zone grid and the blasting damage cloud map;

[0016] The optimal side-hole distance determination module is used to determine the optimal side-hole distance of the mine during the blasting process according to the damage depth and the damage volume.

[0017] A third aspect of an embodiment of the present application provides a computing device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method for determining the side hole distance of mine blasting as described in the first aspect above is implemented.

[0018] A fourth aspect of an embodiment of the present application provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the method for determining the side hole distance of mine blasting as described in the first aspect above is implemented.

[0019] A fifth aspect of the embodiments of the present application provides a computer program product, which, when executed on a computer, enables the computer to execute the method for determining the side hole distance of mine blasting as described in the first aspect.

[0020] Compared with the prior art, the embodiments of the present application have the following advantages:

[0021] In an embodiment of the present application, by determining multiple candidate side-hole distances and constructing a mine blasting model for each candidate side-hole distance, a corresponding blasting damage cloud map can be obtained after simulating blasting using the constructed mine blasting model. Based on the blasting damage cloud map, the damage depth and damage volume of the filling body corresponding to each candidate side-hole distance can be calculated. Based on the damage depth and damage volume of the filling body, the optimal side-hole distance can be determined from the multiple candidate side-hole distances. In an embodiment of the present application, a reasonable blasting side-hole distance is determined through a numerical simulation method, which can reduce the damage and destruction of the near-area filling body caused by blasting operations and reduce the loss rate and large block rate of ore. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] To more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or descriptions of the prior art. Obviously, the drawings described below are only some embodiments of the present application, and those skilled in the art can derive other drawings based on these drawings without inventive effort.

[0023] Figure 1 This is a schematic flow chart of the steps of a method for determining the side hole spacing of mine blasting according to an embodiment of the present application;

[0024] Figure 2 This is a schematic diagram of a side hole distance according to an embodiment of the present application;

[0025] Figure 3 This is a schematic diagram of a grid division for simulating a filling body according to an embodiment of the present application;

[0026] Figure 4 This is a schematic diagram of a possible implementation of step S102 in a method for determining the side hole distance for mine blasting according to an embodiment of the present application;

[0027] Figure 5 This is a schematic diagram of a possible implementation of step S103 in a method for determining the side hole distance for mine blasting according to an embodiment of the present application;

[0028] Figure 6 This is a schematic diagram of a blasting damage cloud map according to an embodiment of the present application;

[0029] Figure 7 This is a schematic diagram of a possible implementation of step S104 in a method for determining the side hole distance for mine blasting according to an embodiment of the present application;

[0030] Figure 8 This is a schematic diagram of a possible implementation of step S105 in a method for determining the side hole distance for mine blasting according to an embodiment of the present application;

[0031] Figure 9 This is a schematic diagram of a device for determining the side hole distance of mine blasting according to an embodiment of the present application;

[0032] Figure 10 It is a structural diagram of a computing device according to an embodiment of the present application. DETAILED DESCRIPTION

[0033] In the following description, specific details such as specific system structures and technologies are provided for the purpose of illustration rather than limitation to facilitate a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obstructing the description of the present application with unnecessary details.

[0034] The technical solution of this application is described below through specific embodiments.

[0035] Reference Figure 1 , shows a schematic flow chart of a method for determining the side hole spacing of mine blasting according to an embodiment of the present application, which may specifically include the following steps:

[0036] S101: Determine multiple candidate side-hole distances.

[0037] It should be noted that this method can be applied to computing devices, that is, the execution subject of the embodiment of the present application is a computing device, which can be a laptop computer, a desktop computer, a cloud computing server and other devices. The embodiment of the present application does not limit the specific type of computing device.

[0038] In this embodiment of the present application, the candidate side-hole spacing may refer to multiple side-hole spacings determined by blasting operators based on actual mining needs. The purpose of this embodiment of the present application is to determine, through processing by a computing device, the optimal side-hole spacing for actual blasting operations from among multiple candidate side-hole spacings. Blasting the ore according to this side-hole spacing allows for efficient blasting, facilitating subsequent mining operations. Furthermore, damage to the backfill caused by the blasting stress wave can be controlled within an acceptable range.

[0039] In the embodiment of the present application, the side hole distance may refer to the distance between the position of the explosive in the ore and the filling body, which may generally be a vertical distance. Figure 2 FIG. 1 is a schematic diagram of a side hole distance according to an embodiment of the present application. Figure 2 (a), (b), and (c) in the figure respectively show three candidate side-hole distances with different values. Figure 2 (a), (b), and (c) show the ore 21 and the filling body 22. Three explosives 211 are placed in the ore 21. The vertical distance between the explosives 211 and the filling body 22 is the side hole distance. Figure 2 In (a), the side hole distance L1 is 1.0 m. Figure 2 In (b), the side hole distance L2 is 1.5 meters. Figure 2In (c), the side hole distance L3 is 2.0 meters. If the above side hole distances L1, L2, and L3 are used as candidate side hole distances, the computing device in the embodiment of the present application can determine the optimal side hole distance from L1, L2, and L3 after processing.

[0040] S102: constructing mine blasting models respectively according to the plurality of candidate side-hole distances, wherein any of the mine blasting models includes a plurality of grids for simulating mine filling bodies, and the grids include near-zone grids.

[0041] In the embodiment of the present application, a corresponding mine blasting model can be constructed for each candidate side hole distance. The mine blasting model can be used to simulate the actual blasting operation process and obtain the damage information of the blasting operation on the filling body at each candidate side hole distance.

[0042] In the present embodiment, to better analyze the damage caused by blasting to the backfill, a grid can be used to simulate the backfill when constructing a mine blasting model. This allows for quick quantification of the extent of backfill damage based on data such as the volume and width of the destroyed grid.

[0043] Typically, blasting operations cause different degrees of damage to different areas of a backfill. Generally, blasting causes more severe damage to the portion of the backfill near the ore, while blasting causes less damage to the edges of the backfill away from the ore. Therefore, in the embodiments of this application, when simulating the backfill in a grid format, the grid can be divided into near-zone and far-zone grids based on the distance from the ore. The near-zone grid is the grid area of ​​primary study.

[0044] like Figure 3 , which is a schematic diagram of a grid division for simulating a filling body according to an embodiment of the present application. Figure 3 is Figure 2 Schematic diagram of the grid used to simulate the filling body after division based on the schematic diagram (a) in FIG. Figure 3 The grid in the figure is divided into a near grid 31 and a far grid 32. The near grid 31 is the grid close to the ore. In the actual blasting process, the impact of the explosive 211 blasting on the near grid 31 will be more serious than that on other grids.

[0045] Because the near-area grid is the primary area of ​​study, in one possible implementation of this embodiment, the size of the near-area grid can be set smaller than the size of the park grid. This allows for more accurate calculations of information such as the width and volume of the damaged filling based on the near-area grid.

[0046] In an embodiment of the present application, the general finite element program LS-DYNA for explicit nonlinear dynamic analysis can be used to simulate the blasting process. The LS-DYNA program is a highly nonlinear transient dynamic analysis program that can solve large deformation dynamic responses such as high-speed collisions, explosions, and molding of various two-dimensional and three-dimensional inelastic structures, and can also solve problems such as heat transfer, fluid and fluid-solid coupling. The LS-DYNA program has a wealth of material models, providing more than 140 metal and non-metal material models for users to choose from, and allows users to customize material models. The LS-DYNA program package also includes more than 16 unit types, and each type of unit has a variety of theoretical algorithms to choose from, with large displacement, large strain and large rotation performance.

[0047] In the embodiment of the present application, the LS-DYNA program may be pre-installed in the computing device. After the computing device determines the candidate side hole distances, the LS-DYNA program may be directly called to construct the mine blasting model.

[0048] Alternatively, the LS-DYNA program can be installed on other electronic devices capable of communicating with the computing device. Once the computing device determines the candidate side-hole spacing, it can transmit the candidate side-hole spacing to the other electronic device through a communication connection, instructing the electronic device to construct a mine blasting model based on the received candidate side-hole spacing and perform a blasting simulation. Information obtained from the simulated blasting can be transmitted back to the computing device for processing.

[0049] In a possible implementation of the embodiment of the present application, as Figure 4 As shown, constructing a mine blasting model based on multiple candidate side-hole distances may include the following sub-steps S1021-S1022:

[0050] S1021. Determine the model units required to construct the mine blasting model and the model parameters corresponding to the model units, wherein the model units at least include an ore unit, a filling unit, an explosive unit, and an air unit.

[0051] S1022. Construct the mine blasting model using a general finite element program for explicit nonlinear dynamic analysis based on the model units and the model parameters corresponding to the model units; wherein the ore units and the filling body units are connected by surface contact.

[0052] In an embodiment of the present application, when constructing a mine blasting model for each candidate side-hole distance, the model units required to construct the mine blasting model and the model parameters corresponding to each model unit can be first determined. For example, the mine blasting model should include at least an ore unit, a backfill unit, an explosive unit, and an air unit.

[0053] Then, the LS-DYNA program can be used to perform modeling based on the determined model elements and their model parameters.

[0054] Generally, the LS-DYNA program primarily utilizes the Lagrange algorithm, with the ALE and Euler algorithms also incorporated. The ALE algorithm, similar to the standard Lagrange algorithm, first fixes the mesh on the medium. Then, based on the computational requirements (i.e., the development of deformation), the mesh is reconstructed according to specific rules at one or several time steps. The stability of the explicit format is guaranteed when the time step size decreases with increasing sound speed. The ALE algorithm produces more accurate results than the pure Euler algorithm for problems involving highly distorted media motion.

[0055] In the embodiment of the present application, the rock unit and the filling unit are solid materials, so the Lagrange algorithm can be used for construction. The explosive unit and the air unit are fluid materials. There are problems such as large unit deformation during the explosion analysis process. The Lagrange algorithm is prone to errors such as negative volume, so the ALE algorithm can be used for construction.

[0056] In practice, when constructing a mine blasting model using the LS-DYNA program, the plastic dynamics model *MAT_PLASTIC_KINEMATIC in LS-DYNA can be used to construct rock units. This model combines isotropy, kinematic hardening, or a hybrid of isotropy and kinematic hardening, and is strain-rate dependent. During explosive detonation, the rock mass near the detonation zone yields and breaks, resulting in significant strain and a pronounced strain rate effect. Therefore, a plastic dynamics model incorporating strain rate has proven suitable. Table 1 shows an example of model parameters for the ore unit.

[0057] Table 1:

[0058]

[0059] The backfill element can be constructed using the RHT constitutive model in the LS-DYNA program. The RHT constitutive model is a concrete model that comprehensively considers the material failure characteristics of strain hardening, pressure dependence, strain rate sensitivity, and compression damage softening. It also introduces tensile and compressive damage, making it particularly suitable for studying backfill damage. Table 2 shows an example of the model parameters for the backfill element.

[0060] Table 2:

[0061]

[0062] The explosive unit can be constructed using the high-energy explosive material *MAT_HIGH_EXPLOSIVE_BURN in the LS-DYNA program and the corresponding JWL equation of state for the detonation gas. Table 3 shows an example of the model parameters and JWL equation of state parameters for the explosive unit.

[0063] Table 3:

[0064]

[0065] The air element can be constructed using the empty material *MAT_NULL in the LS-DYNA program and the corresponding air state equation *EOS_LINEAR_POLYNOMIAL. Table 4 shows an example of the model parameters of the air element.

[0066] Table 4:

[0067] <![CDATA[ρ / kg·m -3 ]]> <![CDATA[C0]]> <![CDATA[C5]]> <![CDATA[C6]]> <![CDATA[E0]]> <![CDATA[V0]]> 1.293 0 0.4 0.4 0.2533E6 1

[0068] It should be noted that, considering the interaction between the filling body and the ore, the common node method cannot be used alone to establish the connection between the ore unit and the filling body unit. Instead, a contact surface should be established, that is, the connection between the ore unit and the filling body unit should be established through surface contact.

[0069] In specific implementation, the *CONTACT_AUTOMATIC_SURFACE_TO_SURFACE command in the LS-DYNA program can be used to establish the connection between the filling unit and the ore unit.

[0070] S103 , respectively using the mine blasting model to simulate blasting to obtain a plurality of blasting damage cloud maps.

[0071] In an embodiment of the present application, the constructed mine blasting model can be used to simulate blasting to obtain a corresponding blasting damage cloud map, which is a schematic diagram of the damage caused to the filling unit by the blasting output by the mine blasting model after completing the simulated blasting.

[0072] It should be noted that, since a mine blasting model is constructed for each candidate side hole distance, after using these mine blasting models to simulate blasting, a blasting damage cloud map corresponding to each candidate side hole distance can be obtained, that is, a schematic diagram of the damage caused to the filling body by blasting at each side hole distance. On the other hand, since the processing process of the embodiment of the present application uses the side hole distance as a variable and other parameters remain unchanged, when constructing a mine blasting model, a mine blasting model can be constructed for a certain candidate side hole distance, and then after executing the processing of the subsequent steps, the mine blasting model can be updated by changing the candidate side hole distance, and then the updated mine blasting model can be used to continue to execute the processing of the subsequent steps. In this way, the difficulty of constructing a mine blasting model and the resources required can be reduced.

[0073] In a possible implementation of the embodiment of the present application, as Figure 5 As shown, the process of using the mine blasting model to simulate blasting and obtain multiple blasting damage cloud maps may include the following sub-steps S1031-S1032:

[0074] S1031. Determine a blasting sequence for a plurality of blasting holes in the mine blasting model, wherein the detonation time intervals between adjacent blasting holes are equal.

[0075] S1032: Perform simulated blasting on the mine blasting model according to the blasting sequence and the detonation time interval to obtain a plurality of blasting damage cloud maps.

[0076] Combine Figure 2 It is known that in one blasting, the explosives used may include multiple ones. Figure 2 When blasting the ore in the Figure 2 Therefore, when simulating blasting, the blasting order of multiple blasting holes in the mine blasting model can be determined first, that is, Figure 2 The blasting order of the three explosives 211 is as follows. Generally, the detonation time intervals between adjacent blast holes are equal, that is, the detonation time intervals between adjacent explosives are equal. For example, taking the detonation time interval as 10 milliseconds as an example, for Figure 2 The explosive 211 shown in (a) in the figure, if the blasting sequence is Figure 2 In the order from top to bottom shown in (a), 10 milliseconds after the explosive at the top is detonated, the explosive at the middle position begins to detonate; then, after another 10 milliseconds, the explosive at the bottom position begins to detonate.

[0077] After simulating blasting in the above manner, multiple blasting damage cloud maps can be obtained. Figure 6 FIG. 1 is a schematic diagram of a blasting damage cloud diagram according to an embodiment of the present application. Figure 6The area 61 shown in the figure is the area for controlling the damage caused to the filling body after the explosives in the ore are detonated.

[0078] S104: Calculate the damage depth and damage volume of the filling body corresponding to each candidate side hole distance based on the near-zone grid and the blasting damage cloud map.

[0079] In the embodiment of the present application, the blasting damage cloud map can be mapped to a grid used to simulate the filling body, so that the damage depth and damage volume of the filling body can be calculated.

[0080] Since the far-zone grid is less affected by blasting, the damage caused by blasting mainly acts on the near-zone grid. Therefore, when calculating the damage depth and damage volume of the filling body, only the damage depth and damage volume in the near-zone grid can be calculated.

[0081] In a possible implementation of the embodiment of the present application, as Figure 7 As shown, based on the near-zone grid and the blasting damage cloud map, calculating the damage depth and damage volume of the filling body corresponding to each candidate side-hole distance may include the following sub-steps S1041-S1043:

[0082] S1041. Determine the damage threshold of the filling body.

[0083] S1042: According to the blasting damage cloud map, delete damaged grids having damage values ​​greater than or equal to the damage threshold from the near-zone grids.

[0084] S1043. Calculate the width and volume of the damage grid, and use the width and volume of the damage grid as the damage depth and damage volume of the filling body, respectively.

[0085] Typically, in blasting damage analysis, the industry often uses a damage value greater than or equal to 0.7 as the failure criterion. Therefore, the damage threshold can be set to 0.7, meaning that a filling with a damage value greater than or equal to 0.7 is considered completely destroyed. Of course, the damage threshold can also be set to other values ​​depending on actual needs, and this embodiment of the present application does not limit this.

[0086] In the embodiment of the present application, based on the blasting damage cloud map, those grids in the near area whose damage values ​​are greater than or equal to the damage threshold are eliminated, and these eliminated grids can be referred to as damaged grids.

[0087] In practice, the damage values ​​of each mesh in the near-fill area can be obtained by image processing the blasting damage contour map using the LS-DYNA program. Meshes with damage values ​​greater than or equal to the damage threshold can then be removed using LS-PREPOST, an advanced finite element pre- and post-processing software developed specifically for LS-DYNA.

[0088] In this way, by calculating the width and volume of the damaged meshes that were removed, the damage depth and volume of the filling can be obtained. The width of the damaged mesh is the sum of the side lengths of the damaged meshes that are perpendicular to the interface between the filling unit and the ore unit; the volume of the damaged mesh is the sum of the volumes of the damaged meshes that were removed.

[0089] S105: Determine the optimal side-hole distance of the mine during the blasting process according to the damage depth and the damage volume.

[0090] After completing the simulated blasting based on each candidate side-hole distance and obtaining the corresponding filling body damage depth and damage volume, the optimal side-hole distance that can be used for actual blasting operations can be determined from multiple candidate side-hole distances based on the damage depth and damage volume.

[0091] In a possible implementation of the embodiment of the present application, as Figure 8 As shown, determining the optimal side-hole distance in a mine during blasting based on the damage depth and damage volume may include the following sub-steps S1051-S1052:

[0092] S1051. Determine a target mine blasting model in which the damage depth is less than a depth threshold and the damage volume is less than a volume threshold.

[0093] S1052: Using the candidate side-hole distance corresponding to the target mine blasting model as the optimal side-hole distance of the mine during the blasting process.

[0094] In a specific implementation, a depth threshold and a volume threshold can be set in advance, and then a mine blasting model in which the damage depth caused by the destruction is less than the depth threshold and the damage volume is less than the volume threshold is determined as the target mine blasting model, and then the candidate side-hole distance corresponding to the target mine blasting model is used as the optimal side-hole distance of the mine in the actual blasting process.

[0095] Table 5 shows a summary of the damage and destruction ranges obtained after simulated blasting for multiple mine blasting models according to one embodiment of the present application. Table 5 shows two mine blasting models: Model 1 and Model 2. Model 1 is constructed based on a side-hole spacing of 1.0 meters, while Model 2 is constructed based on a side-hole spacing of 1.5 meters.

[0096] Table 5:

[0097]

[0098] For the damage range shown in Table 5, assuming a depth threshold of 1.0 meter and a volume threshold of 0.30 cubic meters, Model 2, based on a 1.5-meter side-hole spacing, can be selected as the target mine blasting model. This results in an optimal side-hole spacing of 1.5 meters. When using a 1.5-meter side-hole spacing in actual blasting operations, the damage range is relatively small.

[0099] In one possible implementation of the present embodiment, the target mine blasting model may include multiple models. For example, based on Table 5, Table 6 shows a summary of the damage and destruction ranges obtained after simulated blasting using multiple mine blasting models in another embodiment of the present application. In addition to Models 1 and 2, which are identical to those in Table 5, Table 6 also includes Model 3, a mine blasting model constructed with a side-hole spacing of 2.0 meters.

[0100] Table 6:

[0101]

[0102] For the damage range shown in Table VI, when the depth threshold is 1.0 m and the volume threshold is 0.30 m3, Model 2 and Model 3 are both target mine blasting models.

[0103] At this time, multiple mine blasting models can be sorted in the order of candidate side hole distance from small to large. For example, in Table 6, the order of mine blasting models is model 1 - model 2 - model 3.

[0104] Then, the damage depth change and damage volume change values ​​between each target mine blasting model and the adjacent previous mine blasting model can be calculated separately. For example, in Table 6, the target mine blasting models are Model 2 and Model 3. Therefore, the damage depth change and damage volume change values ​​between Model 2 and the previous mine blasting model, Model 1, can be calculated; and the damage depth change and damage volume change values ​​between Model 3 and the previous mine blasting model, Model 2, can be calculated. It should be noted that the previous mine blasting model adjacent to the target mine blasting model can be a target mine blasting model or a non-target mine blasting model.

[0105] Then, the optimal side-hole distance of the mine during the blasting process can be determined based on the change value of the damage depth and the change value of the damage volume.

[0106] In a specific implementation, one or more groups of mine blasting model groups whose damage depth change values ​​and damage volume change values ​​are both greater than the change threshold can be determined; and the maximum value of the candidate side-hole distances corresponding to each of the one or more groups of mine blasting model groups can be used as the optimal side-hole distance of the mine during the blasting process.

[0107] For example, the change in damage depth between Model 1 and Model 2 is 0.33, and the change in damage volume is 0.41; the change in damage depth between Model 2 and Model 3 is 0.25, and the change in damage volume is 0.17. If the change threshold is 0.3, then the mining blasting model group consisting of Model 1 and Model 2 meets the requirements. Thus, the maximum value among the candidate side-hole spacings, that is, the candidate side-hole spacing of 1.5 meters corresponding to Model 2, can be determined as the optimal side-hole spacing.

[0108] From another perspective, Models 2 and 3 both meet the target mine blasting model requirements for both depth and volume thresholds. That is, the candidate side-hole spacings corresponding to Models 2 and 3 can be used as the optimal side-hole spacing, with the optimal side-hole spacing being 1.5 meters or 2.0 meters. However, while the damage caused by the simulated blasting in Model 3 is similar to that in Model 2, a relatively smaller side-hole spacing can help reduce the probability of under-excavation of the side ore and a high rate of large blocks. Therefore, 1.5 meters can be selected as the optimal side-hole spacing, keeping damage within an acceptable range while reducing the ore loss rate and the rate of large blocks.

[0109] In an embodiment of the present application, by determining multiple candidate side-hole distances and constructing a mine blasting model for each candidate side-hole distance, a corresponding blasting damage cloud map can be obtained after simulating blasting using the constructed mine blasting model. Based on the blasting damage cloud map, the damage depth and damage volume of the filling body corresponding to each candidate side-hole distance can be calculated. Based on the damage depth and damage volume of the filling body, the optimal side-hole distance can be determined from the multiple candidate side-hole distances. The embodiment of the present application determines a reasonable blasting side-hole distance through a numerical simulation method, which can reduce the damage and destruction of the near-zone filling body caused by blasting operations and reduce the loss rate and large block rate of ore.

[0110] It should be noted that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0111] Reference Figure 9 , shows a schematic diagram of a device for determining side hole spacing for mine blasting according to an embodiment of the present application, which may specifically include a candidate side hole spacing determination module 901, a mine blasting model construction module 902, a blasting simulation module 903, a damage calculation module 904, and an optimal side hole spacing determination module 905, wherein:

[0112] A candidate side hole distance determination module 901 is used to determine multiple candidate side hole distances;

[0113] A mine blasting model construction module 902 is configured to construct mine blasting models based on the plurality of candidate side-hole distances, wherein each mine blasting model includes a plurality of grids for simulating a mine filling body, wherein the grids include near-zone grids and far-zone grids, and the size of the near-zone grids is smaller than the size of the far-zone grids;

[0114] A simulated blasting module 903 is configured to perform simulated blasting using the mine blasting model to obtain multiple blasting damage cloud maps;

[0115] A damage calculation module 904 is configured to calculate the damage depth and damage volume of the filling body corresponding to each of the candidate side-hole distances based on the near-zone grid and the blasting damage cloud map;

[0116] The optimal side-hole distance determination module 905 is used to determine the optimal side-hole distance of the mine during the blasting process according to the damage depth and the damage volume.

[0117] In an embodiment of the present application, the mine blasting model construction module 902 can be specifically used to: determine the model units required to construct the mine blasting model and the model parameters corresponding to the model units, the model units including at least ore units, backfill units, explosive units and air units; based on the model units and the model parameters corresponding to the model units, use an explicit nonlinear dynamic analysis general finite element program to construct the mine blasting model; wherein the ore unit and the backfill unit are connected by surface contact.

[0118] In an embodiment of the present application, the simulated blasting module 903 can be specifically used to: determine the blasting sequence of multiple blasting holes in the mine blasting model, and the detonation time intervals between the blasting holes in adjacent sequences are equal; simulate the blasting of the mine blasting model according to the blasting sequence and the detonation time interval to obtain multiple blasting damage cloud maps.

[0119] In an embodiment of the present application, the damage calculation module 904 can be specifically used to: determine the damage threshold of the filling body; delete the damaged grids with damage values ​​greater than or equal to the damage threshold from the near-zone grid based on the blasting damage cloud map; calculate the width and volume of the damaged grid, and use the width and volume of the damaged grid as the damage depth and damage volume of the filling body, respectively.

[0120] In an embodiment of the present application, the optimal side-hole distance determination module 905 can be specifically used to: determine a target mine blasting model in which the damage depth is less than a depth threshold and the damage volume is less than a volume threshold; and use the candidate side-hole distance corresponding to the target mine blasting model as the optimal side-hole distance of the mine during the blasting process.

[0121] In an embodiment of the present application, the optimal side-hole distance determination module 905 can also be used for: if the target mine blasting model includes multiple, then the multiple mine blasting models are sorted in the order of the candidate side-hole distances from small to large; respectively calculate the damage depth change value and damage volume change value between each target mine blasting model and the adjacent previous mine blasting model; and determine the optimal side-hole distance of the mine during the blasting process based on the damage depth change value and the damage volume change value.

[0122] In an embodiment of the present application, the optimal side-hole distance determination module 905 can also be used to: determine one or more groups of target mine blasting models in which the damage depth change value and the damage volume change value are both greater than the change threshold; and use the maximum value of the candidate side-hole distances corresponding to one or more groups of target mine blasting models as the optimal side-hole distance of the mine during the blasting process.

[0123] As for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiment part.

[0124] Reference Figure 10 , shows a schematic diagram of the structure of a computing device according to an embodiment of the present application. Figure 10 As shown, the computing device 1000 of this embodiment includes: a processor 1010, a memory 1020, and a computer program 1021 stored in the memory 1020 and executable on the processor 1010. When the processor 1010 executes the computer program 1021, the steps of each embodiment of the method for determining the side hole distance of mine blasting are implemented, such as Figure 1 Alternatively, when the processor 1010 executes the computer program 1021, the functions of the modules / units in the above-mentioned device embodiments are realized, for example, Figure 9 Functions of modules 901 to 905 are shown.

[0125] Exemplarily, the computer program 1021 may be divided into one or more modules / units, which are stored in the memory 1020 and executed by the processor 1010 to complete the present application. The one or more modules / units may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments may be used to describe the execution process of the computer program 1021 in the computing device 1000. For example, the computer program 1021 may be divided into a candidate side-hole distance determination module, a mine blasting model construction module, a blasting simulation module, a damage calculation module, and an optimal side-hole distance determination module. The specific functions of each module are as follows:

[0126] A candidate side hole distance determination module is used to determine multiple candidate side hole distances;

[0127] a mine blasting model construction module, configured to construct mine blasting models based on the plurality of candidate side-hole distances, wherein each of the mine blasting models includes a plurality of grids for simulating mine filling bodies, the grids including near-zone grids and far-zone grids, and the size of the near-zone grids is smaller than the size of the far-zone grids;

[0128] A simulated blasting module, used to respectively use the mine blasting model to simulate blasting and obtain multiple blasting damage cloud maps;

[0129] a damage calculation module, configured to calculate the damage depth and damage volume of the filling body corresponding to each of the candidate side-hole distances based on the near-zone grid and the blasting damage cloud map;

[0130] The optimal side-hole distance determination module is used to determine the optimal side-hole distance of the mine during the blasting process according to the damage depth and the damage volume.

[0131] The computing device 1000 may be a desktop computer, a cloud server, or other device. The computing device 1000 may include, but is not limited to, a processor 1010 and a memory 1020. It will be understood by those skilled in the art that Figure 10 This is only an example of the computing device 1000 and does not constitute a limitation of the computing device 1000. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the computing device 1000 may also include input and output devices, network access devices, buses, etc.

[0132] The processor 1010 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0133] The memory 1020 may be an internal storage unit of the computing device 1000, such as a hard disk or memory of the computing device 1000. The memory 1020 may also be an external storage device of the computing device 1000, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. equipped on the computing device 1000. Furthermore, the memory 1020 may include both an internal storage unit of the computing device 1000 and an external storage device. The memory 1020 is used to store the computer program 1021 and other programs and data required by the computing device 1000. The memory 1020 may also be used to temporarily store data that has been output or is to be output.

[0134] An embodiment of the present application also discloses a computing device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method for determining the side hole distance of mine blasting as described in the aforementioned embodiments is implemented.

[0135] The embodiments of the present application further disclose a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the method for determining the side hole distance of mine blasting as described in the aforementioned embodiments is implemented.

[0136] The embodiments of the present application further disclose a computer program product. When the computer program product is run on a computer, the computer is caused to execute the method for determining the side hole distance of mine blasting as described in the aforementioned embodiments.

[0137] The above embodiments are intended only to illustrate the technical solutions of the present application and are not intended to limit them. Although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that they may still modify the technical solutions described in the above embodiments or replace some of the technical features therein with equivalents; and such modifications or replacements do not deviate from the spirit and scope of the technical solutions of the embodiments of the present application and should be included within the scope of protection of the present application.

Claims

1. A method for determining the side hole distance of mine blasting, characterized in that: include: determining a plurality of candidate edge hole distances; Constructing mine blasting models respectively according to the plurality of candidate side hole distances, wherein any of the mine blasting models includes a plurality of grids for simulating mine filling bodies, the grids including near-zone grids and far-zone grids, and the size of the near-zone grids is smaller than the size of the far-zone grids; The mine blasting model is used to simulate blasting to obtain multiple blasting damage cloud maps, which are schematic diagrams of damage caused to filling units by blasting output by the mine blasting model after completing the simulated blasting; Calculating the damage depth and damage volume of the filling body corresponding to each candidate side hole distance based on the near-zone grid and the blasting damage cloud map, wherein the damage depth and the volume are the width and volume of the damage grid obtained by mapping the blasting damage cloud map to the near-zone grid; A target mine blasting model is determined in which the damage depth is less than a depth threshold and the damage volume is less than a volume threshold, and the candidate side-hole distance corresponding to the target mine blasting model is used as the optimal side-hole distance of the mine during the blasting process.

2. The method according to claim 1, characterized in that The method of constructing a mine blasting model based on the plurality of candidate side hole distances comprises: Determining model units required for constructing the mine blasting model and model parameters corresponding to the model units, wherein the model units at least include an ore unit, a filling unit, an explosive unit, and an air unit; According to the model units and the model parameters corresponding to the model units, the mine blasting model is constructed by using a general finite element program for explicit nonlinear dynamic analysis; wherein the ore unit and the filling body unit are connected by surface contact.

3. The method according to claim 1 or 2, characterized in that The mine blasting model is used to simulate blasting to obtain multiple blasting damage cloud maps, including: Determining a blasting sequence of a plurality of blasting holes in the mine blasting model, wherein the detonation time intervals between adjacent blasting holes are equal; According to the blasting sequence and the detonation time interval, the mine blasting model is subjected to simulated blasting to obtain a plurality of blasting damage cloud maps.

4. The method according to claim 3, characterized in that The calculation of the damage depth and damage volume of the filling body corresponding to each candidate side hole distance based on the near-zone grid and the blasting damage cloud map includes: determining a damage threshold of the filling body; According to the blasting damage cloud map, deleting damaged grids having damage values ​​greater than or equal to the damage threshold from the near-zone grids; The width and volume of the damage grid are calculated, and the width and volume of the damage grid are used as the damage depth and damage volume of the filling body, respectively.

5. The method according to any one of claims 1, 2 or 4, characterized in that: Also includes: If the target mine blasting model includes multiple ones, the multiple mine blasting models are sorted in the order of the candidate side hole distance from small to large; respectively calculating the damage depth change value and the damage volume change value between each target mine blasting model and an adjacent previous mine blasting model; The optimal side-hole distance of the mine during the blasting process is determined according to the damage depth change value and the damage volume change value.

6. The method according to claim 5, characterized in that The determining, based on the damage depth change value and the damage volume change value, of the optimal side-hole distance of the mine during the blasting process includes: Determining one or more groups of target mine blasting models in which both the damage depth change value and the damage volume change value are greater than a change threshold; The maximum value among the candidate side-hole distances corresponding to one or more groups of target mine blasting models is used as the optimal side-hole distance of the mine during the blasting process.

7. A device for determining the side hole distance of mine blasting, characterized in that: include: A candidate side hole distance determination module is used to determine multiple candidate side hole distances; a mine blasting model construction module, configured to construct mine blasting models based on the plurality of candidate side-hole distances, wherein each of the mine blasting models includes a plurality of grids for simulating mine filling bodies, the grids including near-zone grids and far-zone grids, and the size of the near-zone grids is smaller than the size of the far-zone grids; a simulated blasting module, configured to perform simulated blasting using the mine blasting model to obtain a plurality of blasting damage cloud maps, wherein the blasting damage cloud maps are schematic diagrams of damage to the filling unit caused by the blasting, output by the mine blasting model after completing the simulated blasting; a damage calculation module, configured to calculate the damage depth and damage volume of the filling body corresponding to each candidate side hole distance based on the near-zone grid and the blasting damage cloud map, wherein the damage depth and the volume are the width and volume of the damage grid obtained by mapping the blasting damage cloud map to the near-zone grid; The optimal side-hole distance determination module is used to determine a target mine blasting model in which the damage depth is less than a depth threshold and the damage volume is less than a volume threshold, and use the candidate side-hole distance corresponding to the target mine blasting model as the optimal side-hole distance of the mine during the blasting process.

8. A computing device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the method for determining the side hole distance of mine blasting according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for determining the side hole distance of mine blasting according to any one of claims 1 to 6 is implemented.

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