Linkage analysis method, system, medium and equipment for fragmentation lumpiness and ore grinding parameters

Abstract

The invention provides a linkage analysis method and system for fragmentation lumpiness and ore grinding parameters, a storage medium and electronic equipment, and relates to the technical field of blasting energy consumption analysis. The method provided by the invention comprises the following steps: acquiring a blasting index related to the crushing lumpiness and target rock mass characteristics of to-be-mined ore, and determining a target index weight corresponding to the blasting index; calculating unit explosive energy consumption corresponding to different crushing lumpiness according to the blasting index and the target index weight; obtaining ore grinding parameters of ore grinding equipment, and determining unit ore grinding energy consumption corresponding to different crushing lumpiness; and summing the unit explosive energy consumption and the unit ore grinding energy consumption to obtain unit total energy consumption corresponding to different crushing lumpiness, and determining the crushing lumpiness with the lowest unit total energy consumption as a target crushing lumpiness. According to the method, the blasting and ore grinding processes are analyzed in a linkage mode, optimal selection of the crushing lumpiness is achieved, and therefore the overall production energy consumption is effectively reduced.

Description

Technical Field

[0001] The present application relates to the technical field of blasting energy consumption analysis, and specifically to a linkage analysis method, system, storage medium and electronic equipment for crushing size and grinding parameters. Background Art

[0002] The production process of open-pit mines mainly includes two key links: explosive rock breaking and mechanical equipment grinding. In this process, the size of the rock fragments produced by blasting directly affects the subsequent grinding efficiency and energy consumption. Appropriate crushing size can significantly reduce grinding energy consumption and improve overall production efficiency; conversely, inappropriate crushing size may lead to energy waste or increased equipment wear during the grinding process.

[0003] In related technologies, the selection of crushing size often has limitations. On the one hand, some methods rely solely on manual experience to determine the energy consumption of the blasting process alone, ignoring the impact on the subsequent grinding process. On the other hand, some methods only determine the energy consumption of the grinding process based on the target particle size of the final grinding, without fully considering the potential optimization space of the upstream blasting process. This fragmented optimization method makes it difficult to select the most appropriate crushing size, which ultimately results in high energy consumption in the overall production process. Summary of the invention

[0004] The present application provides a linkage analysis method, system, storage medium and electronic equipment for crushing size and grinding parameters, which determines the appropriate crushing size by linkage analysis of blasting links and grinding links, thereby reducing energy consumption in the production process.

[0005] In a first aspect, the present application provides a linkage analysis method for crushing size and grinding parameters, the method comprising: obtaining a blasting index related to the crushing size and target rock mass characteristics of the ore to be mined, and determining a target index weight corresponding to the blasting index; According to the blasting index and the target index weight, the unit explosive energy consumption corresponding to the different crushing sizes is calculated; the grinding parameters of the grinding equipment are obtained to determine the unit grinding energy consumption corresponding to the different crushing sizes; The unit explosive energy consumption and the unit grinding energy consumption are summed to obtain the unit total energy consumption corresponding to the different crushing fragmentation sizes, and the crushing fragmentation size with the lowest unit total energy consumption is determined as the target crushing fragmentation size.

[0006] In a second aspect, the present application provides a linkage analysis system for crushing size and grinding parameters, the system comprising: a weight determination module for obtaining blasting indicators related to crushing size and target rock mass characteristics of the ore to be mined, and determining target indicator weights corresponding to the blasting indicators; A first calculation module is used to calculate the unit explosive energy consumption corresponding to different fragmentation sizes according to the blasting index and the target index weight; The second calculation module is used to obtain the grinding parameters of the grinding equipment and determine the unit grinding energy consumption corresponding to the different crushing piece sizes; the target crushing piece size determination module is used to sum the unit explosive energy consumption and the unit grinding energy consumption to obtain the unit total energy consumption corresponding to the different crushing piece sizes, and determine the crushing piece size with the lowest unit total energy consumption as the target crushing piece size.

[0007] In a third aspect, the present application provides a computer storage medium, wherein the computer storage medium stores a plurality of instructions, wherein the instructions are suitable for being loaded by a processor and executing any one of the above methods.

[0008] In a fourth aspect, the present application provides an electronic device, comprising a processor, a memory and a transceiver, wherein the memory is used to store instructions, the transceiver is used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device performs any one of the methods described above.

[0009] In summary, the beneficial effects brought about by the technical solution of this application include: By obtaining blasting indicators and target rock mass characteristics and determining the corresponding target indicator weights, the scheme takes into account the actual geological conditions of a specific mining area and improves the accuracy and applicability of subsequent calculations. Based on these indicators and weights, the unit explosive energy consumption corresponding to different crushing sizes is calculated, making the energy consumption assessment of the blasting link more accurate. By obtaining the parameters of the grinding equipment and calculating the unit grinding energy consumption of different crushing sizes, the scheme takes the subsequent processing into consideration and realizes the energy consumption analysis of the entire process. Through comprehensive consideration of the unit explosive energy consumption and the unit grinding energy consumption, the crushing size with the lowest unit total energy consumption is obtained as the target crushing size, which not only balances the needs of the two links of blasting and grinding, but also minimizes the overall energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 It is a flow chart of a linkage analysis method of crushing size and grinding parameters in an embodiment of the present application; Figure 2 It is a structural schematic diagram of a linkage analysis system of crushing size and grinding parameters in an embodiment of the present application; Figure 3 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application.

[0011] Description of reference numerals: 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. DETAILED DESCRIPTION

[0012] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0013] In the description of the embodiments of the present application, words such as "illustrative", "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "illustrative", "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "illustrative", "for example" or "for example" is intended to present related concepts in a specific way.

[0014] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0015] See also Figure 1 , which is a flow chart of a method for linking analysis of crushing size and grinding parameters provided in an embodiment of the present application. The method can be implemented by a computer program, can be implemented by a single-chip microcomputer, or can be run on a linking analysis system of crushing size and grinding parameters based on the von Neumann system. The computer program can be integrated into an application or run as an independent tool application. The specific steps of the linking analysis method of crushing size and grinding parameters are described in detail below.

[0016] S101: Acquire blasting indicators related to the fragmentation size and target rock mass characteristics of the ore to be mined, and determine target indicator weights corresponding to the blasting indicators.

[0017] Among them, the fragmentation refers to the size distribution characteristics of rock fragments after blasting or crushing. It is usually used to describe the degree of rock crushing and reflects the particle size composition of the crushed products. In the embodiment of the present application, the fragmentation can be understood as the size grade distribution of ore fragments after blasting. The fragmentation is mainly used in this application to evaluate the blasting effect. Different blasting parameters will lead to different fragmentation; analyze energy consumption. The fragmentation directly affects the energy consumption of the subsequent grinding process; optimize the production process. By finding the optimal fragmentation, the energy consumption of the blasting and grinding processes can be balanced to minimize the overall energy consumption.

[0018] Among them, blasting index refers to a series of parameters and characteristic values ​​used to describe and control blasting operations. These indexes reflect the key elements of blasting design and implementation, and directly affect the blasting effect and efficiency. In the embodiment of the present application, blasting index can be understood as a set of key parameters that affect the fragmentation, mainly including the minimum resistance line, hole spacing, unit explosive consumption, step height, and rock drilling accuracy. These indicators jointly determine the energy distribution and fragmentation effect of the blasting, and thus affect the final fragmentation distribution.

[0019] Among them, the target rock mass characteristics refer to the collection of physical, mechanical and structural properties of the rock mass where the ore to be mined is located. These characteristics reflect the behavior and response characteristics of the rock mass during the blasting and crushing process. In the embodiment of the present application, the target rock mass characteristics can be understood as the key rock properties that affect the blasting effect and the distribution of broken fragments, including but not limited to the strength, hardness, density, elastic modulus, fracture toughness, joint distribution, etc. of the rock. Specifically, the strength of the rock reflects the ability of the rock mass to resist destruction; the hardness affects the difficulty of drilling and the energy consumption of crushing; the density is related to the propagation speed of the blasting energy; the elastic modulus affects the deformation characteristics of the rock mass during the blasting process; the fracture toughness characterizes the ability of the rock to resist crack propagation; and the joint distribution affects the propagation path of the blasting energy and the crushing effect. These characteristics jointly determine the crushing behavior of the rock mass during the blasting process and the final distribution of broken fragments.

[0020] Among them, the target indicator weight refers to the quantitative expression of the influence of each blasting indicator on the fragmentation and energy consumption under specific conditions. It reflects the relative importance of different blasting parameters under the current rock mass conditions and production requirements. In the embodiment of the present application, the target indicator weight can be understood as a set of weight values ​​obtained by adjusting the standard indicator weight according to the target rock mass characteristics of the ore to be mined. These weights correspond to the blasting indicators one by one, including the fracture toughness coefficient weight affecting the minimum resistance line, the elastic modulus weight affecting the hole spacing, and so on.

[0021] In this embodiment, in order to provide necessary input parameters for subsequent energy consumption calculation and optimization, and to ensure that these parameters can accurately reflect the geological conditions and production needs of the actual mining area, it is first necessary to obtain the blasting indicators related to the fragmentation size and the target rock mass characteristics of the ore to be mined, and then determine the target indicator weights corresponding to these blasting indicators.

[0022] During the specific implementation process, the target rock mass characteristics of the ore to be mined are first obtained through on-site investigation, core sampling analysis and historical data statistics, including key properties such as rock strength, hardness, density, elastic modulus, fracture toughness and joint distribution. These characteristics directly affect the blasting effect and the distribution of broken fragments, so accurate acquisition of these data is crucial for subsequent analysis. At the same time, according to the production practice and technical specifications of the mining area, the blasting indicators closely related to the broken fragments are determined, mainly including the minimum resistance line, hole spacing, unit explosive consumption, step height and rock drilling accuracy. These indicators jointly determine the energy distribution and crushing effect of the blasting, and are the key parameters affecting the final broken fragments.

[0023] After obtaining the above data, the next step is to determine the target indicator weight corresponding to the blasting indicator. This process needs to consider the difference between the actual target rock mass characteristics and the standard rock mass characteristics, so as to adjust the standard indicator weight and obtain the target indicator weight.

[0024] Furthermore, the determination of the target indicator weight can be specifically achieved through steps S201-S202.

[0025] S201: Obtaining standard rock mass characteristics corresponding to standard ore and standard index weights corresponding to blasting indexes for the standard rock mass characteristics.

[0026] Among them, standard rock mass characteristics refer to a set of preset, representative parameters of rock mass physical, mechanical and structural properties. This set of parameters usually represents the typical rock mass characteristics under a certain type of mining area or geological conditions. In the embodiments of the present application, standard rock mass characteristics can be understood as a set of benchmark parameters, including but not limited to standard rock strength, standard hardness, standard density, standard elastic modulus, standard fracture toughness and standard joint distribution. These standard characteristics have the same parameter type as the actual target rock mass characteristics, but numerically represent a certain average or typical state. The standard rock mass characteristics are mainly used as a reference benchmark in this application, and the adjustment direction and amplitude of the target indicator weight are determined by comparing with the actual target rock mass characteristics.

[0027] Among them, the standard indicator weight refers to the benchmark quantitative expression of the influence of each blasting indicator on the fragmentation and energy consumption under the standard rock mass characteristic conditions. This set of weights reflects the relative importance of different blasting parameters under typical or average geological conditions. In the embodiment of the present application, the standard indicator weight can be understood as a set of preset weight values ​​corresponding to the blasting indicators, including the standard fracture toughness coefficient weight affecting the minimum resistance line, the standard elastic modulus weight affecting the hole spacing, the standard fragmentation volume weight affecting the step height, the standard rock mass density weight affecting the unit consumption of explosives, and the standard rock original surface area weight affecting the rock drilling accuracy.

[0028] In this embodiment, it is necessary to determine the standard rock mass characteristics of the standard ore. This is usually accomplished by analyzing a large amount of actual mining area data, combined with expert experience and statistical methods. The standard rock mass characteristics include, but are not limited to, parameters such as standard rock strength, standard hardness, standard density, standard elastic modulus, standard fracture toughness, and standard joint distribution. These parameters represent typical rock mass characteristics under a certain type of mining area or geological conditions, and provide a common reference benchmark for comparative analysis between different mining areas.

[0029] After determining the standard rock mass characteristics, the next step is to determine the standard indicator weights corresponding to the blasting indicators based on these characteristics. This process is usually completed by combining theoretical analysis, numerical simulation and actual production experience. By establishing a mapping relationship between rock mass characteristics and blasting effects, the influence of each blasting indicator on the fragmentation and energy consumption can be analyzed to determine the standard weight of each blasting indicator. These standard indicator weights include the standard fracture toughness coefficient weight affecting the minimum resistance line, the standard elastic modulus weight affecting the hole spacing, the standard fragmentation volume weight affecting the step height, the standard rock mass density weight affecting the unit consumption of explosives, and the standard rock original surface area weight affecting the rock drilling accuracy. For example, when the fracture toughness of the target rock mass is higher than the standard value, the weight of the minimum resistance line can be appropriately increased; when the elastic modulus of the target rock mass is low, the weight of the hole spacing can be reduced accordingly. This adjustment mechanism ensures that the target indicator weights can accurately reflect the actual situation of the current mining area.

[0030] Specifically, the strength and elastic parameters of standard rock mass can be obtained through indoor rock mechanics tests; crushing effect data can be obtained through on-site blasting tests and high-speed photography analysis; and the influence of different blasting parameters on crushing results can be analyzed through numerical simulation technology. At the same time, a large amount of actual production data needs to be considered, and universal laws can be extracted through statistical analysis to determine reasonable standard indicator weights.

[0031] S202: According to the comparison result of the standard rock mass characteristics and the target rock mass characteristics, the standard index weight is adjusted to obtain the target index weight corresponding to the blasting index.

[0032] In this embodiment, in order to adapt the target indicator weight to the actual situation of a specific mining area, so as to ensure that the subsequent energy consumption calculation and optimization process can accurately reflect the geological conditions and production needs of the current mining area, the standard indicator weight can be adjusted according to the comparison results of the standard rock mass characteristics and the target rock mass characteristics to obtain the target indicator weight corresponding to the blasting indicator, so as to improve the accuracy of the target indicator weight.

[0033] In the specific implementation, it is necessary to first conduct a detailed comparison between the standard rock mass characteristics and the target rock mass characteristics. This comparison involves multiple key parameters, including rock strength, hardness, density, elastic modulus, fracture toughness and joint distribution. The comparison method can use quantitative indicators such as percentage difference or standardized difference to clarify the degree and direction of deviation of the target rock mass characteristics from the standard rock mass characteristics.

[0034] Based on the comparison results, a set of weight adjustment rules need to be formulated. These rules should be able to convert the differences in rock mass characteristics into weight adjustments. For example, a series of thresholds and corresponding adjustment ranges can be set. Specifically, if the fracture toughness of the target rock mass is more than 10% higher than the standard value, the weight of the fracture toughness coefficient affecting the minimum resistance line can be increased by 5%; if the elastic modulus of the target rock mass is more than 15% lower than the standard value, the weight of the elastic modulus affecting the hole spacing can be reduced by 8%. This adjustment should take into account the mutual influence between the parameters to ensure that the adjusted weight system still maintains an overall balance. The adjustment process also needs to consider actual production conditions and technical limitations. For example, some blasting parameters may be limited by equipment capabilities or safety regulations, and the corresponding weight adjustment range should also be constrained. In addition, the adjustment process should be iterative, and the weight value can be gradually optimized through multiple fine-tuning and verification.

[0035] S102: Calculate unit explosive energy consumption corresponding to different fragmentation sizes according to blasting indicators and target indicator weights.

[0036] Among them, unit explosive energy consumption refers to the efficiency index of the energy released by unit mass of explosives for rock crushing and throwing during the blasting process. It reflects the degree to which the explosive energy is converted into effective crushing work and is an important parameter for measuring blasting efficiency. In the embodiment of the present application, unit explosive energy consumption can be understood as the energy actually used for rock crushing per kilogram of explosives during the blasting process. By analyzing the correlation between unit explosive energy consumption and the distribution of broken fragments, a preliminary prediction of rock crushing after blasting can be made. This predictive capability enables engineers to better balance the energy consumption of the blasting stage and the grinding stage, thereby minimizing the energy consumption of the overall process.

[0037] In this embodiment, in order to establish a quantitative relationship between the fragmentation size and the unit explosive energy consumption and provide a basis for subsequent blasting parameter optimization and energy consumption control, the unit explosive energy consumption corresponding to different fragmentation sizes can be calculated according to the blasting index and the target index weight.

[0038] The specific implementation process first needs to determine a series of representative crushing sizes, which should cover the full range from fine crushing to coarse crushing. For example, several typical sizes such as 5cm, 10cm, 20cm, and 30cm can be selected. For each crushing size, the corresponding unit explosive energy consumption needs to be calculated. During the calculation process, it is necessary to comprehensively consider multiple blasting indicators, such as the minimum resistance line, hole spacing, row spacing, charge amount, etc., and combine the target indicator weights obtained in the previous steps. The calculation method can be in the form of weighted summation, that is, the influence of each blasting indicator is multiplied by the corresponding target indicator weight, and then the final unit explosive energy consumption is obtained by summing. In actual operation, a calculation table can be established or a special software tool can be used to perform these calculations. For each crushing size, the corresponding blasting parameters need to be adjusted, such as increasing or decreasing the hole spacing, row spacing, etc., and then the unit explosive energy consumption is recalculated. This process may require multiple iterations to ensure that all possible parameter combinations are covered.

[0039] By calculating the unit explosive energy consumption corresponding to different crushing sizes in this way, it is possible to evaluate the energy consumption under different crushing sizes and avoid the deviation that may be caused by subjective judgment. At the same time, by considering the weight of the target indicator, the calculation results are more in line with the geological conditions and production needs of the actual mining area, improving the accuracy of the prediction.

[0040] Based on the above embodiment, as an optional implementation mode, the calculation method of unit explosive energy consumption can be implemented in the following way.

[0041] Substituting the minimum resistance line, hole spacing, unit explosive consumption, step height, rock drilling accuracy and corresponding target index weights into the first preset formula, the unit explosive energy consumption corresponding to different crushing block sizes is obtained; Among them, the first preset formula is: In the formula, e xi Indicates that the size of the broken pieces is x i The unit explosive energy consumption per unit volume of rock, w represents the minimum resistance line, K IC represents the target indicator weight corresponding to the fracture toughness coefficient affecting the minimum resistance line, d represents the hole spacing, E represents the target indicator weight corresponding to the elastic modulus affecting the hole spacing, H represents the step height, V represents the target indicator weight corresponding to the broken block volume affecting the step height, q represents the unit consumption of explosives, ρ represents the target indicator weight corresponding to the rock mass density affecting the unit consumption of explosives, xi represents the size class of the i-th broken piece, n represents the total number of size classes of broken pieces, y i represents the mass proportion of rock blocks corresponding to the size grade of the i-th broken block, p represents the rock drilling accuracy, and A a Indicates the target indicator weight corresponding to the original surface area of ​​rock that affects the rock drilling accuracy.

[0042] Among them, the minimum resistance line refers to the shortest distance from the center of the blast hole to the nearest free surface. It is a key parameter in the blasting design and directly affects the blasting effect and efficiency. In the embodiment of the present application, the minimum resistance line can be understood as the vertical distance from the bottom of the blast hole to the blasting surface. This distance determines the main direction of the explosive energy transfer and the difficulty of rock crushing. The minimum resistance line is mainly used in this application to optimize the blasting design and control the crushing effect. It is closely related to the performance of the explosive, the characteristics of the rock, and the desired degree of crushing. Reasonable minimum resistance line design can ensure that the energy of the explosive is fully utilized and achieve an ideal rock crushing effect. A too small minimum resistance line may lead to excessive crushing and energy waste, while a too large minimum resistance line may cause insufficient blasting and form large rocks or foundations.

[0043] Among them, the hole spacing refers to the horizontal distance between two adjacent blasting holes in the blasting operation. In the embodiment of the present application, the hole spacing can be understood as the distance between the center points of two adjacent holes in the same row of blasting holes. This distance directly affects the distribution of explosive energy and the uniformity of rock crushing. The hole spacing is mainly used in this application to optimize the blasting design and control the crushing effect. Too small a hole spacing may lead to excessive concentration of energy, resulting in local over-crushing and waste of explosives; while too large a hole spacing may lead to insufficient crushing in certain areas, forming large blocks or sandwiched stones.

[0044] Among them, the unit consumption of explosives refers to the amount of explosives required per unit volume or unit mass of rock in the blasting operation. In the embodiment of the present application, the unit consumption of explosives can be understood as the mass of explosives required for crushing each cubic meter of rock. In the blasting-grinding linkage analysis, by adjusting the unit consumption of explosives, the distribution of broken pieces can be affected, thereby affecting the energy consumption and efficiency of the entire mining-crushing-grinding process. A higher unit consumption of explosives may lead to a finer crushing effect, potentially reducing the energy consumption of subsequent grinding processes; but it may also increase blasting costs and environmental burdens.

[0045] Among them, the step height refers to the vertical distance between two adjacent mining platforms during open-pit mining. In the embodiment of the present application, the step height can be understood as the vertical distance from the bottom of a mining platform to the bottom of the platform above it. In the blasting-grinding linkage analysis, a larger step height generally allows the use of a larger blasting aperture and a longer blast hole, which may improve the efficiency of a single blast, but also increases the requirements for equipment capacity and blasting control. A smaller step height may require more frequent blasting operations, but is conducive to refined control and more flexible production adjustments.

[0046] Among them, rock drilling accuracy refers to the degree of consistency between the actual drilling position, direction and depth and the design requirements in the blasting operation. It is an important indicator to measure the quality of drilling and the accuracy of blasting preparation work. In the embodiment of the present application, rock drilling accuracy can be understood as the degree of deviation between the actual value and the design value of the drilling parameters (including hole position, inclination, azimuth and hole depth), usually expressed as an error percentage or an absolute error value. Rock drilling accuracy is mainly used in this application to control blasting quality and optimize blasting effect. High rock drilling accuracy can ensure that the blasting design is accurately executed, thereby achieving the expected crushing effect and energy utilization efficiency.

[0047] In the first preset formula, The section is used to quantify the energy required for blasting by considering the fracture characteristics of the rock. Specifically, it combines the minimum resistance line, fracture toughness coefficient, hole spacing and elastic modulus to fully reflect the rock's resistance to crushing during the blasting process. Through these parameters, the formula can accurately estimate the energy required to crush the rock, thereby optimizing the blasting design and improving the blasting efficiency. The minimum resistance line is the path in the rock that is most easily crushed.

[0048] The minimum resistance line w is selected to determine the minimum distance of crack extension during blasting. The fracture toughness coefficient represents the ability of rock to resist crack extension, and its square K I 2 C It is put into the formula to reflect the ability of rock to absorb and store energy during the fracture process. The higher the coefficient, the harder the rock is to break, so more energy is required. The design intention of this parameter is to quantify the rock's resistance to crushing. The hole spacing d affects the area covered by the blasting. The hole spacing d is selected to determine the distance between the blasting holes to ensure that the energy can be effectively transferred within a reasonable range. Reasonable hole spacing design can avoid energy waste and improve blasting efficiency. The elastic modulus reflects the deformation capacity of the rock under stress. It is used to describe the ability of the rock to absorb and transfer stress during blasting. The larger the elastic modulus, the harder the rock is to deform and break, so more energy is required. The intention of selecting the elastic modulus is to quantify the deformation capacity and energy absorption characteristics of the rock.

[0049] This part of the formula improves blasting efficiency by selecting the line of least resistance to ensure that energy is concentrated on the path that is most easily broken. At the same time, by combining the fracture toughness coefficient and elastic modulus, the rock's resistance to crushing and deformation capacity are quantified to ensure reasonable energy distribution and improve energy utilization. And by selecting the appropriate hole spacing, the blasting energy is effectively transmitted within a reasonable range to reduce energy waste.

[0050] In the formula The total energy required to achieve effective blasting is determined in part by evaluating the efficiency of energy transfer. It combines the volume of broken pieces, step height, rock mass density and unit explosive quantity to comprehensively evaluate the distribution and transfer efficiency of energy during blasting. 12 is obtained by dividing 6 by 1 / 2, 6 means that after blasting, the rock block is regarded as a cube of block size, and its surface area calculation needs to be multiplied by 6, and 1 / 2 represents the average of the interval between two size grades of broken pieces.

[0051] The broken block volume V represents the total volume of rock blocks generated after blasting. V is selected to estimate the total amount of broken rock and determine the total energy required. The step height H affects the coverage and energy distribution of the blasting. The step height is selected to ensure that the blasting energy can be evenly distributed throughout the blasting area. Reasonable step height design can improve the uniformity and effect of blasting. Rock mass density ρ affects the efficiency of energy transfer. The greater the mass density, the more difficult the rock is to be broken, so more energy is required. The intention of selecting mass density is to quantify the mass properties of the rock and determine the required energy. The unit consumption of explosives q is the amount of explosives required per unit volume of rock. q is selected to determine how much explosives are needed to provide enough energy for blasting. Reasonable design of unit consumption of explosives can ensure the effective use of energy.

[0052] This part of the formula ensures that the energy can be evenly distributed in the entire blasting area by reasonably selecting the crushed block size and step height, thereby improving energy utilization. At the same time, by selecting the appropriate unit consumption of explosives, the accuracy of the required amount of explosives is ensured, explosive waste is avoided, and blasting efficiency is improved. Finally, by combining the rock mass density and crushed block size, the total energy required to achieve effective blasting can be accurately estimated.

[0053] In the formula The energy distribution in different size intervals is quantified by adding up the masses of each rock in the same size interval. Specifically, it reflects how the energy distribution in different size intervals changes during the blasting process, thereby estimating the energy required for each size interval. i -x i-1Indicates the difference between adjacent rock block size classes. These size intervals are selected to refine the classification of broken block sizes and provide energy requirements under different block sizes. Through these size intervals, the distribution of rock blocks after blasting can be described more accurately. Rock block mass change y i -y i-1 Represents the difference in the mass distribution of rocks within the same size range. These mass changes are chosen to reflect the change in the proportion of rocks within the same size range in the total mass and to determine the energy requirements for each size. The energy can be distributed more accurately by using the changes in the rock mass.

[0054] A in the formula a The p part combines the original surface area of ​​the rock and the drilling accuracy. The design intention is to quantify the energy consumption by considering the absorption and release of surface energy. It reflects the energy loss caused by the surface characteristics of the rock and the drilling accuracy, thereby optimizing the energy utilization efficiency. The original surface area of ​​the rock A a It reflects the surface area of ​​the rock before blasting. The intention of selecting this parameter is to consider the influence of surface energy absorption and release on the total energy consumption. The larger the surface area, the more surface energy is absorbed and released, resulting in increased energy consumption. The drilling accuracy p represents the accuracy of the drilling and the uniformity of the blasting effect. This parameter is selected to reflect the influence of the accuracy during the drilling process on the energy consumption. The higher the drilling accuracy, the higher the energy utilization efficiency and the smaller the energy loss.

[0055] In the specific implementation, it is first necessary to determine the actual values ​​of key blasting parameters such as the minimum resistance line, hole spacing, unit consumption of explosives, step height and rock drilling accuracy. These parameters are set according to the specific conditions of the mine and the blasting requirements. At the same time, it is also necessary to determine the target indicator weights corresponding to each parameter. These weights reflect the relative importance of each parameter to the blasting effect under specific mining conditions. For example, the influence of the fracture toughness coefficient on the minimum resistance line, the influence of the elastic modulus on the hole spacing, the influence of the broken block size volume on the step height, the influence of the rock mass density on the unit consumption of explosives, and the influence of the original surface area of ​​the rock on the rock drilling accuracy are all reflected through the corresponding weight factors. This formula can calculate the unit explosive energy consumption corresponding to different broken block sizes. Here x i Represents different crushing fragment size levels, from i=1 to n, covering all fragment size levels from the smallest to the largest.

[0056] In an optional implementation, after calculating the unit explosive energy consumption corresponding to each crushing size, the following steps are also included: It is determined whether the percentage of large block rate corresponding to the broken block size is greater than a first threshold value; if the percentage of large block rate corresponding to the broken block size is greater than the first threshold value, the unit explosive energy consumption corresponding to the broken block size is removed.

[0057] The percentage of large block rate is a key indicator for measuring the crushing effect in blasting engineering. It refers to the proportion of the mass of rock blocks exceeding a certain size after blasting to the total mass of blasted rock. In the embodiment of the present application, the percentage of large block rate can be understood as the proportion of rock blocks that need secondary crushing in the total blasted products. In the blasting-grinding linkage optimization, the percentage of large block rate becomes the link between the blasting effect and the grinding efficiency. A higher percentage of large blocks usually indicates that the subsequent grinding process requires more energy input.

[0058] In the specific implementation, the first threshold value needs to be determined first. A certain margin needs to be left when setting the threshold value to adapt to the fluctuations and uncertainties in actual production. Next, for each broken piece size, the corresponding large piece rate percentage is calculated. This can be obtained by analyzing the rock particle size distribution after blasting, or predicted by a theoretical model. The calculated large piece rate percentage is compared with the preset first threshold value. If the large piece rate percentage corresponding to a certain broken piece size is greater than the first threshold value, it is considered that the blasting plan produces too many large pieces and does not meet the production requirements, so the corresponding unit explosive energy consumption is removed from the subsequent optimization process.

[0059] By eliminating those blasting solutions that produce too many large pieces, the workload and energy consumption of subsequent secondary crushing can be effectively reduced, thereby improving overall production efficiency and reducing costs. By controlling the large piece rate, the energy consumption distribution of the entire production process can be indirectly optimized, and energy consumption can be appropriately increased in the blasting stage in exchange for reduced energy consumption in the subsequent processing stage.

[0060] S103: Obtain grinding parameters of the grinding equipment to determine unit grinding energy consumption corresponding to different crushing sizes.

[0061] Among them, grinding parameters refer to various adjustable factors that affect grinding efficiency, product quality and energy consumption during ore grinding. In the embodiments of the present application, grinding parameters can be understood as a set of key variables used to describe and control the grinding process, which directly affect the effect and efficiency of grinding. Grinding parameters generally include but are not limited to the following aspects: mill speed, mill loading rate, feed particle size, type and size of grinding media, grinding media filling rate, grinding time, grinding media to ore ratio, mill liner type, etc. These parameters jointly determine the dynamic characteristics of the grinding process and the particle size distribution of the final product.

[0062] Among them, the unit grinding energy consumption refers to the energy consumed to grind ores of different crushing sizes to the final target particle size. In the embodiment of the present application, the unit grinding energy consumption can be understood as the electrical energy consumed during the grinding process per ton of ore of a specific crushing size. The unit grinding energy consumption is used to quantify the impact of the blasting effect on the subsequent grinding process. Different blasting parameters will lead to different crushing sizes, which in turn affects the energy consumption required for grinding. By analyzing the unit grinding energy consumption corresponding to different crushing sizes, the impact of the blasting effect on the entire production process can be intuitively evaluated.

[0063] In the embodiment of the present application, in order to establish a quantitative relationship between the crushing size and the unit grinding energy consumption, the unit grinding energy consumption corresponding to different crushing sizes can be determined by the grinding parameters of the grinding equipment. In the specific implementation, it is necessary to obtain the key parameters of the grinding equipment, including but not limited to the type of mill, the size of the mill, the rotation speed, the type of liner, the type of grinding medium and the filling rate. These parameters directly affect the grinding efficiency and energy consumption, and are important factors in determining the unit grinding energy consumption. These parameters can be obtained by consulting the equipment manual, on-site measurement, etc. In order to determine the unit grinding energy consumption corresponding to different crushing sizes, a series of targeted grinding tests are required. These tests should cover the various crushing size ranges that may occur after blasting, and the crushing size can usually be divided into several levels, such as fine crushing, medium crushing and coarse crushing. For each crushing size level, a standardized grinding test is carried out to record the time and energy consumption required to grind it to the target particle size. During the test, other grinding parameters except the crushing size should be kept consistent to ensure the comparability of the results. During the test, an energy consumption monitoring device can be used to record the energy consumption of the grinding process in real time. At the same time, the particle size changes of the grinding products can be tracked through regular sampling and particle size analysis. In this way, the grinding time-product particle size curve and energy consumption-product particle size curve can be drawn, so as to accurately calculate the unit grinding energy consumption when the target particle size is reached.

[0064] Based on the above embodiment, as an optional implementation, step S103 also includes steps S301-S302.

[0065] S301: determining the regrinding rate of different crushing sizes in the grinding equipment and the expected unit grinding energy consumption corresponding to the different crushing sizes according to the grinding parameters of the grinding equipment; The regrinding rate refers to the proportion of ore that does not meet the particle size requirement after a grinding process and needs to re-enter the grinding process. In the embodiment of the present application, the regrinding rate can be understood as the percentage of the mass of ore that does not reach the target particle size and needs to return for regrinding after one grinding to the total mass of ore that does not meet the standard. The regrinding rate is an important indicator for evaluating grinding efficiency and production capacity. A higher regrinding rate means that a large amount of ore needs to be processed repeatedly, which not only reduces production efficiency but also increases energy consumption. By monitoring and controlling the regrinding rate, the grinding process can be optimized and the processing capacity of the production line can be improved. The regrinding rate is closely related to the crushing size. Different crushing sizes may lead to different regrinding rates. For example, too coarse feed may increase the proportion of substandard ore, thereby increasing the regrinding rate.

[0066] The expected unit grinding energy consumption refers to the optimal energy consumption required to grind a given ore to a target particle size under ideal conditions. In the embodiments of the present application, the expected unit grinding energy consumption can be understood as the optimal energy consumption level obtained through theoretical calculation or empirical estimation after considering factors such as ore characteristics, equipment efficiency and process requirements. The expected unit grinding energy consumption is an important reference for formulating the optimization strategy for the entire blasting-grinding process. When designing a blasting scheme and adjusting grinding parameters, making the actual energy consumption close to or reaching the expected value can be used as the optimization direction.

[0067] In this embodiment, grinding tests are performed on ores of different crushing sizes by experimental or simulation methods. In this process, we will set a series of representative crushing sizes, usually including three levels of fine, medium and coarse, and each level may be further subdivided into several sub-levels. For each crushing size, we will conduct standardized grinding tests and record data such as grinding time, product particle size distribution, and energy consumption. By analyzing the particle size distribution of the grinding product, we can calculate the re-grinding rate under each crushing size. Specifically, the re-grinding rate can be determined by measuring the proportion of ore that does not reach the target particle size that needs to be returned for re-grinding. This process may involve screening analysis and material balance calculations. At the same time, we will also record the actual unit grinding energy consumption under each crushing size. After obtaining the actual unit grinding energy consumption data, we need to calculate or estimate the corresponding expected unit grinding energy consumption in combination with ore characteristics, equipment efficiency and process requirements.

[0068] S302: Correct the expected unit grinding energy consumption according to the regrinding rate to obtain the unit grinding energy consumption corresponding to different crushing sizes.

[0069] In this embodiment, in order to more accurately reflect the energy consumption under actual production conditions, the expected unit grinding energy consumption is corrected according to the regrinding rate to obtain the unit grinding energy consumption corresponding to different crushing sizes. The expected unit grinding energy consumption is usually calculated or estimated under ideal conditions, while the regrinding phenomenon in actual production will cause additional energy consumption. Ignoring the impact of the regrinding rate may lead to an underestimation of the actual energy consumption, thereby affecting the accuracy of subsequent optimization decisions. We correct the expected unit grinding energy consumption for each crushing size. The corrected unit grinding energy consumption can be expressed as: corrected unit grinding energy consumption = expected unit grinding energy consumption + additional energy consumption. This method can obtain a series of corrected unit grinding energy consumption values, each value corresponding to a specific crushing size. These corrected values ​​more accurately reflect the energy consumption under actual production conditions because they take into account the additional energy consumption caused by the regrinding phenomenon.

[0070] Based on the above embodiment, as an optional implementation, it is determined whether the regrinding rate is greater than a second threshold; if the regrinding rate is greater than the second threshold, the unit explosive energy consumption corresponding to the fragmentation size with the regrinding rate greater than the second threshold is removed.

[0071] Specifically, a second threshold value related to the regrinding rate is set to screen the unit explosive energy consumption corresponding to the crushing size. Since an excessively high regrinding rate means that a large amount of ore needs to be repeatedly ground, this will not only significantly increase the grinding energy consumption, but also reduce the processing capacity of the entire production line. Secondly, a high regrinding rate is usually associated with an undesirable distribution of crushing size, which may cause uneven wear of the grinding equipment and increase equipment maintenance costs. In actual operations, the process of determining the second threshold requires comprehensive consideration of multiple factors. This threshold is usually determined based on historical production data, equipment capacity, and economic benefit analysis. For example, we may analyze the relationship between the regrinding rate and overall production efficiency and cost over a period of time in the past, and find a balance point as the second threshold.

[0072] The specific method is to calculate the corresponding regrinding rate for each crushing size. Then, these regrinding rates are compared with the pre-set second threshold. For those crushing sizes whose regrinding rates exceed the second threshold, we will remove their corresponding unit explosive energy consumption from the subsequent optimization process.

[0073] S104: summing the unit explosive energy consumption and the unit grinding energy consumption to obtain the unit total energy consumption corresponding to different crushing sizes, and determining the crushing size with the lowest unit total energy consumption as the target crushing size.

[0074] The target crushing size refers to the optimal ore particle size distribution expected to be obtained after the blasting operation. In the embodiment of the present application, it can be understood as the crushing size range that can achieve the best balance in the subsequent grinding process. Specifically, the target crushing size is a range value, not a single fixed value. This range is usually defined by an upper and lower limit, for example, it may be expressed as "95% of the ore particle size is between 60mm and 80mm".

[0075] In specific implementation, first add the unit explosive energy consumption and unit grinding energy consumption corresponding to each crushing size to obtain the unit total energy consumption under the crushing size. This calculation method takes into account the energy consumption of the two stages of blasting and grinding, and can fully reflect the energy consumption of the entire ore processing process. Next, by comparing the unit total energy consumption corresponding to different crushing sizes, the crushing size with the lowest unit total energy consumption is identified and determined as the target crushing size. The advantage of this method is that it not only takes into account the energy consumption of the blasting stage, but also takes into account the energy consumption of the subsequent grinding stage, thereby achieving overall optimization of energy utilization. The target crushing size determined in this way not only takes into account the blasting effect, but also takes into account the needs of the subsequent grinding process, so it can achieve the best energy utilization efficiency in the entire ore processing process.

[0076] On the basis of the above embodiment, as an optional implementation mode, a corresponding blasting plan and a grinding plan are generated according to the target blasting parameters and the target grinding parameters corresponding to the target crushing size.

[0077] In specific implementation, the corresponding target blasting parameters need to be inferred first according to the target fragmentation. These parameters include the minimum resistance line, hole spacing, unit consumption of explosives, step height, and rock drilling accuracy mentioned above. By adjusting these parameters, the fragmentation of the ore after blasting can be as close to the target fragmentation as possible. For example, if the target fragmentation is small, it may be necessary to reduce the minimum resistance line and hole spacing, and increase the unit consumption of explosives to obtain a more detailed fragmentation effect.

[0078] At the same time, it is also necessary to determine the corresponding target grinding parameters according to the target crushing size. These parameters may include the rotation speed of the grinding equipment, the filling rate of the ball mill, the size and amount of the grinding media, etc. By adjusting these parameters, the grinding process can most effectively process the ore from the blasting stage and achieve the best grinding effect. After determining these target parameters, the next step is to integrate these parameters into a complete blasting plan and grinding plan. The blasting plan may include specific blasthole layout diagrams, charge structure, detonation sequence, etc. The grinding plan may include specific operating parameters of the grinding equipment, arrangement of the grinding process, etc.

[0079] In this way, the blasting and grinding processes can be optimized at the same time, achieving the coordinated optimization of the entire ore processing process. It can not only reduce overall energy consumption, but also improve production efficiency and reduce equipment wear, ultimately achieving the goal of reducing production costs and improving economic benefits.

[0080] The following is an embodiment of the system of the present application, which can be used to execute the embodiment of the method of the present application. For details not disclosed in the embodiment of the system of the present application, please refer to the embodiment of the method of the application.

[0081] See also Figure 2 , which shows a schematic diagram of the structure of a linkage analysis system for crushing size and grinding parameters provided by an exemplary embodiment of the present application. The system can be implemented as all or part of the system through software, hardware or a combination of both. The linkage analysis system for crushing size and grinding parameters includes: A weight determination module is used to obtain blasting indicators related to the fragmentation size and target rock mass characteristics of the ore to be mined, and determine the target indicator weight corresponding to the blasting indicator; The first calculation module is used to calculate the unit explosive energy consumption corresponding to different fragmentation sizes according to the blasting index and the target index weight; The second calculation module is used to obtain the grinding parameters of the grinding equipment and determine the unit grinding energy consumption corresponding to different crushing size; the target crushing size determination module is used to sum the unit explosive energy consumption and the unit grinding energy consumption to obtain the unit total energy consumption corresponding to different crushing size, and determine the crushing size with the lowest unit total energy consumption as the target crushing size.

[0082] Based on the above embodiment, as an optional embodiment, the weight determination module is also used to obtain standard rock mass characteristics corresponding to standard ore, and standard indicator weights corresponding to blasting indicators for standard rock mass characteristics; according to the comparison results of standard rock mass characteristics and target rock mass characteristics, the standard indicator weights are adjusted to obtain target indicator weights corresponding to blasting indicators.

[0083] On the basis of the above embodiment, as an optional embodiment, the first calculation module is further used to substitute the minimum resistance line, hole spacing, unit explosive consumption, step height, rock drilling accuracy and corresponding target index weight into the first preset formula to obtain unit explosive energy consumption corresponding to different crushing block sizes; wherein the first preset formula is: In the formula, Indicates that the size of the broken pieces is x i The unit explosive energy consumption per unit volume of rock, w represents the minimum resistance line, K ICrepresents the target indicator weight corresponding to the fracture toughness coefficient affecting the minimum resistance line, d represents the hole spacing, E represents the target indicator weight corresponding to the elastic modulus affecting the hole spacing, H represents the step height, V represents the target indicator weight corresponding to the broken block volume affecting the step height, q represents the unit consumption of explosives, ρ represents the target indicator weight corresponding to the rock mass density affecting the unit consumption of explosives, x i represents the size class of the i-th broken piece, n represents the total number of size classes of broken pieces, y i represents the mass proportion of rock blocks corresponding to the size grade of the i-th broken block, p represents the rock drilling accuracy, and A a Indicates the target indicator weight corresponding to the original surface area of ​​rock that affects the rock drilling accuracy.

[0084] Based on the above embodiment, as an optional embodiment, the first calculation module is also used to determine whether the percentage of large block rate corresponding to the broken block size is greater than the first threshold; if the percentage of large block rate corresponding to the broken block size is greater than the first threshold, the unit explosive energy consumption corresponding to the broken block size is removed.

[0085] On the basis of the above embodiment, as an optional embodiment, the second calculation module is also used to determine the re-grinding rate of different crushing size in the grinding equipment and the expected unit grinding energy consumption corresponding to different crushing size according to the grinding parameters of the grinding equipment; the expected unit grinding energy consumption is corrected according to the re-grinding rate to obtain the unit grinding energy consumption corresponding to different crushing size.

[0086] Based on the above embodiment, as an optional embodiment, the second calculation module is also used to determine whether the regrinding rate is greater than a second threshold; if the regrinding rate is greater than the second threshold, the unit explosive energy consumption corresponding to the broken piece size with a regrinding rate greater than the second threshold is removed.

[0087] On the basis of the above embodiment, as an optional embodiment, the target crushing piece size determination module is further used to generate corresponding blasting scheme and grinding scheme according to the target blasting parameters and target grinding parameters corresponding to the target crushing piece size.

[0088] The present application also provides a computer storage medium that can store multiple instructions, which are suitable for being loaded and executed by a processor as described above. Figure 1 The linkage analysis method of crushing size and grinding parameters in the embodiment shown in the figure can be found in Figure 1 The specific description of the illustrated embodiment will not be repeated here.

[0089] See also Figure 3 , is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 3As shown, the electronic device 300 may include: at least one processor 301 , at least one network interface 304 , a user interface 303 , a memory 305 , and at least one communication bus 302 .

[0090] The communication bus 302 is used to realize the connection and communication between these components.

[0091] The user interface 303 may include a standard wired interface or a wireless interface.

[0092] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0093] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.

[0094] Among them, the memory 305 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 305 may optionally be at least one storage device located away from the aforementioned processor 301. As Figure 3 As shown, the memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an application program for a linkage analysis method of crushing size and grinding parameters.

[0095] exist Figure 3 In the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user and obtain data input by the user; and the processor 301 can be used to call an application program stored in the memory 305 for a linkage analysis method of crushing size and grinding parameters. When executed by one or more processors, the electronic device executes one or more methods in the above-mentioned embodiments.

[0096] An electronic device readable storage medium stores instructions, which, when executed by one or more processors, enable the electronic device to execute one or more methods in the above embodiments.

[0097] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the order of the actions described, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0098] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0099] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0100] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0101] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0102] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0103] The above are only exemplary embodiments of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and the truth of practice, it will be easy for those skilled in the art to think of other embodiments of the present disclosure. This application is intended to cover any variation, use or adaptive change of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the technical field that are not recorded in the present disclosure.

Claims

1. A linkage analysis method for crushing size and grinding parameters, characterized in that: The method comprises: Obtaining blasting indicators related to the fragmentation size and target rock mass characteristics of the ore to be mined, and determining target indicator weights corresponding to the blasting indicators; Calculating unit explosive energy consumption corresponding to different fragmentation sizes according to the blasting index and the target index weight; Obtaining grinding parameters of the grinding equipment and determining unit grinding energy consumption corresponding to different crushing sizes; The unit explosive energy consumption and the unit grinding energy consumption are summed to obtain the unit total energy consumption corresponding to the different crushing fragmentation sizes, and the crushing fragmentation size with the lowest unit total energy consumption is determined as the target crushing fragmentation size.

2. The method according to claim 1, characterized in that The determining of the target indicator weight corresponding to the blasting indicator includes: Obtaining standard rock mass characteristics corresponding to standard ore and standard index weights corresponding to the blasting index for the standard rock mass characteristics; According to the comparison result of the standard rock mass characteristics and the target rock mass characteristics, the standard index weight is adjusted to obtain the target index weight corresponding to the blasting index.

3. The method according to claim 1, characterized in that The blasting index includes the minimum resistance line, hole spacing, unit explosive consumption, step height and rock drilling accuracy. The unit explosive energy consumption corresponding to different fragmentation sizes is calculated according to the blasting index and the target index weight, including: Substitute the minimum resistance line, the hole spacing, the unit explosive consumption, the step height, the rock drilling accuracy and the corresponding target index weight into a first preset formula to obtain the unit explosive energy consumption corresponding to the different crushing block sizes; wherein the first preset formula is: In the formula, Indicates that the fragment size is x i The unit explosive energy consumption per unit volume of rock, w represents the minimum resistance line, K IC represents the target indicator weight corresponding to the fracture toughness coefficient affecting the minimum resistance line, d represents the hole spacing, E represents the target indicator weight corresponding to the elastic modulus affecting the hole spacing, H represents the step height, V represents the target indicator weight corresponding to the broken block volume affecting the step height, q represents the unit consumption of explosives, ρ represents the target indicator weight corresponding to the rock mass density affecting the unit consumption of explosives, x i represents the size class of the i-th broken piece, n represents the total number of size classes of the broken piece, y i represents the mass proportion of rock blocks corresponding to the size grade of the i-th broken block, p represents the rock drilling accuracy, A a Indicates the target indicator weight corresponding to the original surface area of ​​the rock that affects the rock drilling accuracy.

4. The method according to claim 1, characterized in that: After calculating the unit explosive energy consumption corresponding to different fragmentation sizes according to the blasting index and the target index weight, the method further includes: Determine whether the percentage of large blocks corresponding to the broken block size is greater than a first threshold; If the percentage of large block rate corresponding to the broken block size is greater than the first threshold value, the unit explosive energy consumption corresponding to the broken block size is removed.

5. The method according to claim 1, characterized in that: The step of obtaining grinding parameters of the grinding equipment and determining unit grinding energy consumption corresponding to different crushing sizes includes: According to the grinding parameters of the grinding equipment, determining the regrinding rate of the different crushing sizes in the grinding equipment and the expected unit grinding energy consumption corresponding to the different crushing sizes; The expected unit grinding energy consumption is corrected according to the regrinding rate to obtain the unit grinding energy consumption corresponding to the different crushing sizes.

6. The method according to claim 5, characterized in that After determining the regrinding rate of different crushing sizes in the grinding equipment and the expected unit grinding energy consumption corresponding to different crushing sizes according to the grinding parameters of the grinding equipment, the method further includes: Determining whether the regrinding rate is greater than a second threshold; If the regrinding rate is greater than the second threshold, the unit explosive energy consumption corresponding to the crushing size with the regrinding rate greater than the second threshold is removed.

7. The method according to claim 1, characterized in that After the unit explosive energy consumption and the unit grinding energy consumption are summed to obtain the unit total energy consumption corresponding to the different crushing fragmentation sizes, and the crushing fragmentation size with the lowest unit total energy consumption is determined as the target crushing fragmentation size, the method further includes: According to the target blasting parameters and target grinding parameters corresponding to the target crushing size, a corresponding blasting plan and a grinding plan are generated.

8. A linkage analysis system for crushing size and grinding parameters, characterized in that: The system comprises: A weight determination module is used to obtain blasting indicators related to the fragmentation size and target rock mass characteristics of the ore to be mined, and determine the target indicator weight corresponding to the blasting indicator; A first calculation module is used to calculate the unit explosive energy consumption corresponding to different fragmentation sizes according to the blasting index and the target index weight; The second calculation module is used to obtain the grinding parameters of the grinding equipment and determine the unit grinding energy consumption corresponding to the different crushing piece sizes; the target crushing piece size determination module is used to sum the unit explosive energy consumption and the unit grinding energy consumption to obtain the unit total energy consumption corresponding to the different crushing piece sizes, and determine the crushing piece size with the lowest unit total energy consumption as the target crushing piece size.

9. A computer storage medium, characterized in that: The computer storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing the method according to any one of claims 1 to 7.

10. An electronic device, characterized in that: The electronic device comprises a processor, a memory and a transceiver, wherein the memory is used to store instructions, the transceiver is used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the method according to any one of claims 1 to 7.

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