Blasting control method, system and equipment for large surface mine and medium

Abstract

The invention discloses a blasting control method, system, equipment and medium for a large surface mine, and relates to the technical field of large surface mine mining, the optimal blast hole diameter and the optimal charge content matched with the optimal blast hole diameter are accurately determined by deeply analyzing the lumpiness distribution condition under different blast hole diameters, so that ore is crushed uniformly, and the blasting quality is improved. The large block rate is reduced, the workload of secondary crushing is reduced, meanwhile, the occurrence risk of blasting accidents is also reduced, the safety of personnel and equipment is guaranteed, and the proportion of the optimal particle size is remarkably increased, so that the ore quality and the mining efficiency after blasting are improved; through accurate geological data acquisition and analysis, digital drilling and charging design and simulation optimization, the period of blasting operation is greatly shortened, it is ensured that each time of blasting can accurately achieve the expected effect, and through advanced technical means and accurate data analysis, full-process optimization and control of blasting operation are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of large open-pit mine mining, and specifically relates to a blasting control method, system, equipment and medium for large open-pit mines. Background Art

[0002] In the field of large open-pit mine mining, blasting operations, as a key link in the entire mining process, always play a crucial role. However, there have long been many serious problems with traditional blasting operation methods, which urgently need to be solved.

[0003] Traditional blasting operations mainly rely on the modes of packaged charging and manual charging. In this mode, workers need to complete the heavy charging operations themselves, which not only consumes a large amount of physical strength but also takes up too much time, resulting in a very high labor load. The high-intensity operation of manual charging not only increases the physical burden on workers but also has a direct negative impact on the efficiency of mine mining.

[0004] At the same time, the construction efficiency of traditional blasting methods is extremely low. Due to the lack of precise control means, it is difficult to accurately grasp the amount of charge, which directly affects the stability of the blasting effect. Too much charge may lead to waste of resources, while insufficient charge may lead to poor blasting effects, increasing the difficulty and cost of subsequent mining.

[0005] More critically, the inherent safety of manual operations is extremely poor. In a complex mine environment, workers are vulnerable to various potential risk factors during blasting operations, such as rock slides and explosion shocks. These risk factors greatly increase the risk of accidents, posing a huge hidden danger to the lives of workers and the normal production of mines.

[0006] In summary, the traditional blasting operation method is no longer able to meet the requirements of modern large open-pit mine mining for efficient, safe and precise blasting. With the continuous expansion of the scale of mine mining and the continuous improvement of technical levels, there is an urgent need for a new control blasting method to solve the above problems in order to achieve the efficiency, safety and precision of blasting operations and meet the needs of modern mine mining. Summary of the Invention

[0007] Based on the problems raised in the above background art, the purpose of the present invention is to provide a blasting control method, system, equipment and medium for large open-pit mines, which solves the problems that it is currently difficult to accurately grasp the amount of charge, directly affecting the stability of the blasting effect; too much charge may lead to waste of resources, while insufficient charge may lead to poor blasting effects, increasing the difficulty and cost of subsequent mining.

[0008] The present invention is achieved through the following technical solutions:

[0009] The first aspect of the present invention provides a blasting control method for large open-pit mines, including the following steps:

[0010] Step S1: Obtain the mine geological exploration data, analyze the mine geological exploration data, and obtain the blast hole design parameters;

[0011] Step S2: Conduct blasting tests with different blast hole diameters based on the blast hole design parameters to obtain the rock fragmentation size distribution data under different blast hole diameters;

[0012] Step S3: Determine the charge content according to the rock fragmentation size distribution data under different blast hole diameters;

[0013] Step S4: Conduct blasting simulation based on the charge content, evaluate the blasting effect of the blasting simulation, and optimize the blasting parameters according to the evaluation results.

[0014] In the above technical solution, first, a detailed exploration of the mine's geological structure, rock physical properties, and joint fissure distribution is carried out, and the mine geological exploration data is collected, which includes rock hardness, density, and elastic modulus. Analyze the mine geological exploration data to obtain the blast hole design parameters. At the initial stage of the blasting scheme design, use the exploration data to determine the blast hole design parameters to construct the initial model of the excavation contour blasting.

[0015] Conduct blasting tests with different blast hole diameters based on the blast hole design parameters, that is, adjust the blast hole diameter parameters in the initial model to obtain the rock fragmentation size distribution data under different blast hole diameters, that is, the fragmentation degree and particle size distribution of layered rocks under different impact velocities and bedding dip angles during blasting. By analyzing the rock fragmentation size distribution data, find the blast hole diameter corresponding to the optimal blasting effect of the rock fragmentation size distribution data. When the blast hole diameter is determined, calculate the blast hole diameter to determine the charge content of the blast hole diameter. By analyzing the rock fragmentation size distribution data, ensure that the ore fragmentation after blasting meets the requirements of ore dressing, while reducing the damage to the slope during blasting and reducing the workload of secondary crushing.

[0016] After completing the charge content in the blast hole, under the premise of ensuring safety, conduct blasting according to the predetermined initiation sequence. After blasting, evaluate the rock fragmentation degree, particle size distribution, and slope stability, compare the blasting effect with the expected effect, and optimize the blasting parameters according to the evaluation results. The optimized blasting parameters are used for blasting in large open-pit mine mining.

[0017] In an alternative embodiment, the analysis of the mine geological exploration data includes:

[0018] Analyze the mine geological exploration data based on the mine spacing coefficient to determine the hole spacing of the mine, and arrange the blast holes in the mine according to the hole spacing.

[0019] Extract the bench height of the mine from the mine geological exploration data, and calculate the hole depth after blast hole arrangement using the bench height.

[0020] In an alternative embodiment, the calculation process of the hole depth is as follows:

[0021] L = K l *H

[0022] In the above formula, L is the hole depth, K l is the depth coefficient, with a value range of 0.8 to 1.2, and H is the bench height.

[0023] In an alternative embodiment, during the blasting simulation based on the charge content, it also includes monitoring the charge density of the charge content, and the calculation process of the charge density is as follows:

[0024]

[0025] In the above formula, ρ is the charge density, Q is the charge content, and V is the hole volume.

[0026] In an alternative embodiment, evaluate the blasting effect of the blasting simulation, including: evaluating the rock fragmentation size distribution and the slope stability;

[0027] Among them, the evaluation formula for the rock fragmentation size distribution evaluation is as follows:

[0028]

[0029] In the above formula, P(d) is the size distribution, d is the rock fragment size, do is the characteristic size, and n is the distribution index;

[0030] The evaluation formula for the slope stability evaluation is as follows:

[0031]

[0032] In the above formula, F s is the safety factor, τ is the shear strength, and б is the shear stress.

[0033] In an alternative embodiment, optimize the blasting parameters according to the evaluation results of the rock fragmentation size distribution evaluation, including: calculating the size distribution deviation value of the size distribution, and calculating the charge content adjustment value using the size distribution deviation value. The calculation process of the charge content adjustment value is as follows:

[0034] ΔQ = Kq *Δd

[0035] In the above formula, ΔQ is the charge adjustment value, and K q is the adjustment coefficient, and Δd is the fragmentation distribution deviation value.

[0036] The second aspect of the present invention provides a blasting control system for large open-pit mines, including:

[0037] A parameter design module for obtaining mine geological exploration data, analyzing the mine geological exploration data, and obtaining blast hole design parameters;

[0038] A fragmentation distribution module for conducting blasting tests with different blast hole diameters based on the blast hole design parameters to obtain rock fragmentation distribution data under different blast hole diameters;

[0039] A charge content module for determining the charge content according to the rock fragmentation distribution data under different blast hole diameters;

[0040] A parameter optimization module for conducting blasting simulations based on the charge content, evaluating the blasting effects of the blasting simulations, and optimizing the blasting parameters according to the evaluation results.

[0041] In an optional embodiment, the parameter design module includes:

[0042] A blast hole layout unit for analyzing the mine geological exploration data based on the mine spacing coefficient, determining the blast hole spacing of the mine, and arranging blast holes in the mine according to the blast hole spacing;

[0043] A blast hole depth unit for extracting the bench height of the mine from the mine geological exploration data and calculating the blast hole depth after blast hole layout using the bench height.

[0044] The third aspect of the present invention provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, it implements a blasting control method for large open-pit mines.

[0045] The fourth aspect of the present invention provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements a blasting control method for large open-pit mines.

[0046] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0047] 1. By deeply analyzing the fragment size distribution under different blast hole diameters, the optimal blast hole diameter and the matching optimal charge content were accurately determined, enabling uniform ore fragmentation, reducing the large block ratio, decreasing the workload of secondary crushing, simultaneously reducing the risk of blasting accidents, ensuring the safety of personnel and equipment, significantly increasing the proportion of the optimal particle size, and thus improving the quality of blasted ore and the mining efficiency.

[0048] 2. Through precise geological data collection and analysis, digital drilling and charging design, and simulation optimization, the blasting operation cycle was greatly shortened, ensuring that each blast could accurately achieve the expected effect. Through advanced technical means and precise data analysis, the whole process of blasting operation was optimized and controlled.

[0049] 3. The blast hole row spacing was carefully optimized and the charge amount was precisely controlled, which not only reduced the number of blast holes, but also optimized the charge structure, reduced the input cost, and strictly controlled the operation intensity of blasting, saving a large amount of capital investment for mine exploitation. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts. In the drawings:

[0051] Figure 1 is a schematic flow chart of the blasting control method for large open-pit mines provided in Embodiment 1 of the present invention;

[0052] Figure 2 is a schematic structural diagram of the blasting control system for large open-pit mines provided in Embodiment 2 of the present invention;

[0053] Figure 3 is a schematic structural diagram of an electronic device provided in Embodiment 3 of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0054] To make the objectives, technical solutions, and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below with reference to the embodiments and the drawings. The illustrative embodiments of the present invention and their descriptions are only used to explain the present invention and are not intended to limit the present invention.

[0055] Embodiment 1

[0056] Figure 1 is a schematic flow chart of the blasting control method for large open-pit mines provided in Embodiment 1 of the present invention, asFigure 1 As shown in Figure 1 , a blasting control method for large open-pit mines includes the following steps:

[0057] Step S1: Obtain the mine geological exploration data, analyze the mine geological exploration data, and obtain the blast hole design parameters;

[0058] Step S2: Conduct blasting tests with different blast hole diameters based on the blast hole design parameters to obtain the rock fragmentation size distribution data under different blast hole diameters;

[0059] Step S3: Determine the charge content according to the rock fragmentation size distribution data under different blast hole diameters;

[0060] Step S4: Conduct blasting simulation based on the charge content, evaluate the blasting effect of the blasting simulation, and optimize the blasting parameters according to the evaluation results.

[0061] It should be noted that at present, it is difficult to accurately grasp the charge amount, which directly affects the stability of the blasting effect. Excessive charge amount may lead to waste of resources, while insufficient charge amount may lead to poor blasting effect, increasing the difficulty and cost of subsequent mining. Based on the existing defects, this method provides a blasting control method for large open-pit mines. This method first conducts a detailed investigation on the geological structure, rock physical properties, and joint fissure distribution of the mine, and collects the mine geological exploration data, which includes rock hardness, density, and elastic modulus. Analyze the mine geological exploration data to obtain the blast hole design parameters. At the initial stage of blasting scheme design, use the exploration data to determine the blast hole design parameters to construct the initial model of contour blasting for excavation.

[0062] Conduct blasting tests with different blast hole diameters based on the blast hole design parameters, that is, adjust the blast hole diameter parameters in the initial model to obtain the rock fragmentation size distribution data under different blast hole diameters, that is, the fragmentation degree and particle size distribution of stratified rocks under different impact velocities and bedding dip angles during blasting. By analyzing the rock fragmentation size distribution data, find the blast hole diameter corresponding to the optimal blasting effect of the rock fragmentation size distribution data. When the blast hole diameter is determined, calculate the blast hole diameter to determine the charge content of the blast hole diameter. By analyzing the rock fragmentation size distribution data, ensure that the ore fragmentation after blasting meets the requirements of ore dressing, while reducing the damage to the slope during blasting and reducing the workload of secondary crushing.

[0063] After completing the charge content in the blast hole, on the premise of ensuring safety, conduct blasting according to the predetermined initiation sequence. After blasting, evaluate the rock fragmentation degree, fragmentation size distribution, and slope stability, compare the blasting effect with the expected effect, and optimize the blasting parameters according to the evaluation results. The optimized blasting parameters are used for blasting in large open-pit mine mining.

[0064] In an alternative embodiment, analyzing the mine geological exploration data includes:

[0065] Analyzing the mine geological exploration data based on the mine spacing coefficient to determine the hole spacing of the mine, and arranging the holes in the mine according to the hole spacing;

[0066] Extracting the bench height of the mine from the mine geological exploration data, and calculating the hole depth after hole arrangement using the bench height.

[0067] It should be noted that in the blasting scheme design stage, the acquired exploration data is fully integrated and deeply utilized, and multiple factors including geological conditions, mining requirements, and safety specifications are comprehensively considered to accurately determine the hole design parameters including the hole arrangement method, depth, and angle. In this embodiment, the hole design parameters include the hole spacing and hole depth of the hole arrangement.

[0068] Specifically, the calculation of the hole spacing is as follows:

[0069] S = K s *D

[0070] In the above formula, S is the hole spacing, K s is the spacing coefficient, and its value range is 1.5 to 2.5; D is the initial hole diameter.

[0071] Among them, reasonably determining the hole spacing is crucial for achieving efficient and safe blasting operations. Excessive spacing may lead to poor blasting effects and insufficient rock fragmentation; while too small spacing may increase blasting costs and resource waste. After arranging the holes based on the hole spacing, the hole depth of the arranged holes is calculated to achieve the initial blasting design.

[0072] In an alternative embodiment, the calculation process of the hole depth is as follows:

[0073] L = K l *H

[0074] In the above formula, L is the hole depth, K l is the depth coefficient, and its value range is 0.8 to 1.2, and H is the bench height.

[0075] In an alternative embodiment, during the blasting simulation based on the charge content, monitoring the charge density of the charge content is also included, and the calculation process of the charge density is as follows:

[0076]

[0077] In the above formula, ρ is the charge density, Q is the charge content, and V is the hole volume.

[0078] It should be noted that the volume of the blast hole here is the blast hole volume calculated based on the blast hole diameter corresponding to the charge content determined by the rock fragmentation distribution data under different blast hole diameters in step S3. After determining the charge content in step S3, an automated charging device is used to achieve quantitative control of the charging process, monitor the charge density and distribution, and ensure uniform filling of the explosive in the blast hole.

[0079] A high-precision measuring device and positioning system are used to determine the drilling position and angle. An automated drilling device is used to achieve digital control of the drilling process, and the drilling depth and diameter parameters are monitored in real time to ensure that the drilling quality meets the design requirements. Then, according to the blast hole parameters and rock characteristics, the blasting effects under different charge amounts and charge structures are calculated through simulation software, and the optimal charge type, charge amount, and charge structure are determined.

[0080] In this embodiment, blasting tests with different blast hole diameters are carried out based on the blast hole design parameters, including: conducting test blasts with different blast hole diameters, collecting the rock fragmentation distribution data under different blast hole diameters, analyzing the fragmentation distribution data, and determining the optimal blast hole diameter in combination with the mining requirements and cost considerations. The corresponding optimal charge content is calculated according to the blast hole diameter, and a numerical simulation software such as LSDYNA is used to simulate the designed blasting scheme, analyze the rock fragmentation situation, stress distribution, and vibration effect after blasting, evaluate the blasting effect, and adjust and optimize the blasting parameters according to the simulation results.

[0081] The hole row spacing of the pre-splitting holes and the buffer holes are finely optimized and designed, significantly reducing the number of holes drilled. The internal mechanism of blasting fragmentation under different rock conditions is deeply explored, and a reasonable explosive type and accurate dosage that are highly adaptable to the actual situation are accurately determined.

[0082] In an alternative embodiment, the blasting effects of the blasting simulation are evaluated, including: rock fragmentation distribution evaluation and slope stability evaluation;

[0083] Among them, the evaluation formula for the rock fragmentation distribution evaluation is as follows:

[0084]

[0085] In the above formula, P(d) is the fragmentation distribution, d is the rock fragment size, do is the characteristic fragment size, and n is the distribution index;

[0086] The evaluation formula for the slope stability evaluation is as follows:

[0087]

[0088] In the above formula, F s is the safety factor, τ is the shear strength, and б is the shear stress.

[0089] It should be noted that this embodiment is designed for the blasting method of large open-pit mines. The blasting operations in open-pit mines are usually large-scale, and the geological conditions and blasting requirements involved are quite different from those of tunnel blasting. In particular, the blasting in open-pit mines needs to control the slope stability and the ore fragmentation effect. Therefore, the blasting effect is evaluated by the rock fragmentation size distribution and slope stability to ensure that the fragmentation degree, size distribution of the blasted rock and slope stability meet the expectations, and at the same time ensure the flatness and stability of the slope and contour surface.

[0090] In an alternative embodiment, the blasting parameters are optimized according to the evaluation results of the rock fragmentation size distribution evaluation, including: calculating the fragmentation size distribution deviation value of the size distribution, and using the fragmentation size distribution deviation value to calculate the charge content adjustment value. The calculation process of the charge content adjustment value is as follows:

[0091] ΔQ = K q *Δd

[0092] In the above formula, ΔQ is the charge amount adjustment value, K q is the adjustment coefficient, and Δd is the fragmentation size distribution deviation value.

[0093] Furthermore, this embodiment provides an optimal calculation method for the charge content, and its calculation process is as follows:

[0094]

[0095] where Q opt is the optimal charge amount, Q max is the maximum charge amount, and Q min is the minimum charge amount.

[0096] Furthermore, taking a certain large open-pit limestone mine as an example in this embodiment, if the traditional blasting method is used, there are problems such as poor blasting effect, irregular mining contour, and high cost.

[0097] After using the controlled blasting method provided in this embodiment, first, a comprehensive geological survey of the mine was carried out to obtain detailed data such as rock hardness and joint distribution; based on these data, the blasting plan was designed by using the excavation contour blasting technology method system and the digitalized drilling, charging, and blasting design and construction integration technology system.

[0098] The blast hole diameter was determined to be 150 mm. By analyzing the fragmentation size distribution, the optimal charge content was calculated. At the same time, the hole row spacing of the pre-splitting holes was optimized to 0.8 m × 0.8 m, and the buffer hole spacing was adjusted to 2.5 m.

[0099] Digitally drill holes using high-precision positioning equipment to ensure the accuracy of the hole positions and angles. Charge the holes using automated charging equipment according to the calculated charge content.

[0100] Strict inspections were carried out before blasting. After confirming that there were no errors, blasting was implemented. After blasting, the rock was broken evenly, the large block rate was significantly reduced, the mining contour was regular, meeting the design requirements. Compared with previous blasts, the amount of explosive used was reduced by 15%, the amount of detonators used was reduced by 10%. At the same time, the loading efficiency was improved and the comprehensive mining cost was reduced.

[0101] Example 2

[0102] Figure 2 The following is a schematic structural diagram of the blasting control system for large open-pit mines provided in Example 2 of the present invention. As Figure 2 shown, the blasting control system for large open-pit mines includes:

[0103] A parameter design module, configured to obtain mine geological exploration data, analyze the mine geological exploration data, and obtain blast hole design parameters;

[0104] A fragmentation size distribution module, configured to conduct blasting tests with different blast hole diameters based on the blast hole design parameters, and obtain rock fragmentation size distribution data under different blast hole diameters;

[0105] A charge content module, configured to determine the charge content according to the rock fragmentation size distribution data under different blast hole diameters;

[0106] A parameter optimization module, configured to conduct blasting simulations based on the charge content, evaluate the blasting effects of the blasting simulations, and optimize the blasting parameters according to the evaluation results.

[0107] In an alternative embodiment, the parameter design module includes:

[0108] A blast hole arrangement unit, configured to analyze the mine geological exploration data based on the mine spacing coefficient, determine the blast hole spacing of the mine, and arrange blast holes in the mine according to the blast hole spacing;

[0109] A blast hole depth unit, configured to extract the bench height of the mine from the mine geological exploration data, and calculate the blast hole depth after blast hole arrangement using the bench height.

[0110] Example 3

[0111] Figure 3 The following is a schematic structural diagram of an electronic device provided in Example 3 of the present invention. As Figure 3 shown, the electronic device includes a processor 21, a memory 22, an input device 23, and an output device 24; the number of processors 21 in the computer device can be one or more.Figure 3 Take a processor 21 as an example in [the description]; the processor 21, memory 22, input device 23, and output device 24 in the electronic device can be connected through a bus or other means. Figure 3 Take the connection through a bus as an example in [the description].

[0112] The memory 22, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and modules. The processor 21 executes various functional applications and data processing of the electronic device by running the software programs, instructions, and modules stored in the memory 22, that is, implements the blasting control method for large open-pit mines in Embodiment 1.

[0113] The memory 22 may mainly include a program storage area and a data storage area. Among them, the program storage area can store an operating system and application programs required for at least one function; the data storage area can store data created according to the use of the terminal, etc. In addition, the memory 22 can include high-speed random access memory, and can also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage devices. In some instances, the memory 22 can further include a memory remotely set relative to the processor 21, and these remote memories can be connected to the electronic device through a network. Examples of the above network include but are not limited to the Internet, enterprise intranet, local area network, mobile communication network, and their combinations.

[0114] The input device 23 can be used to receive user input such as an id and password. The output device 24 is used to output a network configuration page.

[0115] Embodiment 4

[0116] Embodiment 4 of the present invention also provides a computer-readable storage medium, and the computer-executable instructions are used to implement the blasting control method for large open-pit mines as provided in Embodiment 1 when executed by a computer processor.

[0117] A storage medium containing computer-executable instructions provided by the embodiments of the present invention, the computer-executable instructions are not limited to the method operations provided in Embodiment 1, and can also execute relevant operations in the blasting control method for large open-pit mines provided by any embodiment of the present invention.

[0118] The specific embodiments described above further elaborate on the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only the specific embodiments of the present invention and is not used to limit the protection scope of the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A blasting control method for large open-pit mines, characterized in that: The steps include: Step S1, acquiring mining geological survey data, analyzing the mining geological survey data, and obtaining blasthole design parameters; Step S2, performing blasting tests with different blasthole diameters based on the blasthole design parameters to obtain rock fragmentation distribution data with different blasthole diameters; Step S3, determining the charge content according to the rock fragmentation distribution data under different blasthole diameters; Step S4: performing blasting simulation based on the charge content, evaluating the blasting effect of the blasting simulation, and optimizing blasting parameters according to the evaluation result.

2. The blasting control method for large open-pit mines according to claim 1, characterized in that: Analyze the mine geological survey data, including: Analyzing the mine geological survey data based on the mine spacing coefficient, determining the blasthole spacing of the mine, and arranging the blastholes in the mine according to the blasthole spacing; The step height of the mine is extracted from the mine geological survey data, and the blasthole depth after blasthole arrangement is calculated using the step height.

3. The blasting control method for large open-pit mines according to claim 2, characterized in that: The calculation process of the blasthole depth is as follows: L=K l *H In the above formula, L is the depth of the blasthole, K is l is the depth coefficient, ranging from 0.8 to 1.2, and H is the step height.

4. The blasting control method for large open-pit mines according to claim 1, characterized in that: The blasting simulation based on the charge content also includes monitoring the charge density of the charge content. The calculation process of the charge density is as follows: In the above formula, ρ is the charge density, Q is the charge content, and V is the borehole volume.

5. The blasting control method for large open-pit mines according to claim 1, characterized in that: Evaluate the blasting effect of blasting simulation, including: rock fragmentation distribution evaluation and slope stability evaluation; The evaluation formula for the rock fragmentation distribution evaluation is as follows: In the above formula, P(d) is the fragmentation distribution, d is the rock fragmentation, do is the characteristic fragmentation, and n is the distribution index; The evaluation formula for slope stability evaluation is as follows: In the above formula, F s is the safety factor, τ is the shear strength, is the shear stress.

6. The blasting control method for large open-pit mines according to claim 5, characterized in that: The blasting parameters are optimized according to the evaluation result of the rock fragmentation size distribution evaluation, including: calculating the size distribution deviation value of the size distribution, and calculating the charge content adjustment value using the size distribution deviation value. The calculation process of the charge content adjustment value is as follows: ΔQ=K q *Δd In the above formula, ΔQ is the charge adjustment value, K q is the adjustment coefficient, and Δd is the blockiness distribution deviation value.

7. Blasting control system for large open-pit mines, characterized in that: include: A parameter design module is used to obtain mining geological survey data, analyze the mining geological survey data, and obtain blasthole design parameters; A fragmentation size distribution module is used to perform blasting tests with different blasthole diameters based on the blasthole design parameters to obtain rock fragmentation size distribution data with different blasthole diameters; Charge content module, used to determine charge content according to rock fragmentation distribution data under different blasthole diameters; The parameter optimization module is used to perform blasting simulation based on the charge content, evaluate the blasting effect of the blasting simulation, and optimize the blasting parameters according to the evaluation results.

8. The blasting control system for large open-pit mines according to claim 7, characterized in that: The parameter design module includes: A blasthole arrangement unit, used to analyze the mine geological survey data based on the mine spacing coefficient, determine the blasthole spacing of the mine, and arrange blastholes in the mine according to the blasthole spacing; The blasthole depth unit is used to extract the step height of the mine from the mine geological survey data, and use the step height to calculate the blasthole depth after the blastholes are arranged.

9. An electronic device, characterized in that: The invention comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the blasting control method for a large open-pit mine as claimed in any one of claims 1 to 6 when executing the computer program.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the blasting control method for a large open-pit mine as described in any one of claims 1 to 6 is implemented.

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