Metal mine mining design method and system based on ore body characteristics

Abstract

The invention discloses a metal mine mining design method and system based on ore body characteristics, and relates to the technical field of mine mining, and the method comprises the steps: uniformly dividing an ore body model into ore body local blocks; uniformly dividing the ore body surrounding model into non-ore body local blocks; obtaining ore body characteristics and ore body burying characteristics; forming a blasting path; a preparation mining track scheme is formed; selecting the preparation mining track scheme with the maximum feasibility coefficient as a mining track scheme; reinforcing coefficients of the sampling points are obtained through calculation; the sampling points with the reinforcing coefficients larger than the reinforcing critical value are reinforced; the safety coefficient, the cost coefficient and the mining difficulty coefficient of the mining mode are obtained; and calculating the adaptation degree of the mining mode. By obtaining the ore body characteristics and the ore body burying characteristics, the blasting path is formed, the mining track scheme is obtained, the mining mode is selected, and then it is ensured that the designed mining scheme conducts balanced balance on safety, cost and mining difficulty.

Description

Technical Field

[0001] The invention relates to the technical field of mining, and in particular to a metal mine mining design method and system based on ore body characteristics. Background Art

[0002] Metal mining is divided into open-pit mining and underground mining. Open-pit mining accounts for 90% of iron ore and non-ferrous metal ore accounts for about 50%. Underground mining plays an important role in metal mining, especially in non-ferrous metal and gold systems, where more than 90% of mines adopt underground mining.

[0003] Existing underground mining designs do not adequately consider the difficulty, cost and safety of mining, resulting in designs that are either more costly, more difficult to mine or more risky. Summary of the invention

[0004] In order to solve the above-mentioned technical problems, a method and system for designing metal mining based on ore body characteristics are provided. This technical solution solves the problem that the existing underground mining design proposed in the above-mentioned background technology does not give comprehensive consideration to the difficulty, cost and safety of mining, resulting in the designed scheme having either high cost or high mining difficulty or high risk.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A metal mine mining design method based on ore body characteristics, comprising:

[0007] Perform 3D modeling on the ore body to obtain an ore body model, and evenly divide the ore body model into at least one ore body local block;

[0008] Modeling the area around the ore body to obtain a model around the ore body, and evenly dividing the model around the ore body into at least one non-ore body local block;

[0009] Analyze the local blocks of ore bodies and the local blocks of non-ore bodies respectively to obtain the ore body characteristics and ore body burial characteristics;

[0010] Based on the buried characteristics of the ore body, the blasting path is formed;

[0011] Based on the characteristics of the ore body, a preliminary mining trajectory plan is formed;

[0012] Calculate the feasibility coefficients of the preliminary mining trajectory plans, and select the preliminary mining trajectory plan with the largest feasibility coefficient as the mining trajectory plan;

[0013] At least one sampling point is evenly set in the target mining path of the mining trajectory plan, and the reinforcement coefficient of the sampling point is calculated;

[0014] A reinforcement critical value of the reinforcement coefficient is formed, and reinforcement is performed at the sampling points where the reinforcement coefficient is greater than the reinforcement critical value;

[0015] During mining, mining is carried out according to the trajectory set in the mining trajectory plan;

[0016] Obtain at least one mining mode of a metal mine, and obtain a safety factor, a cost factor, and a mining difficulty factor of the mining mode;

[0017] The weights of safety factor, cost factor and mining difficulty factor are formed, the adaptability of the mining mode is calculated, and the mining mode with the greatest adaptability is selected as the implementation method of the mining trajectory plan.

[0018] Preferably, the step of analyzing the local blocks of the ore body and the local blocks of the non-ore body to obtain the ore body characteristics and the ore body burial characteristics comprises the following steps:

[0019] Based on the big data, at least one substance type appearing near the metal mine is obtained, and the spectral characteristics of the substance type under the infrared spectrum are obtained;

[0020] Use infrared spectrum to identify local blocks of ore bodies and obtain infrared spectrum of ore bodies;

[0021] The hardness of the material type corresponding to the spectral feature with the highest proportion in the infrared spectrum of the ore body is taken as the ore body feature, and the ore body feature is paired with the local block of the ore body;

[0022] Using infrared spectrum to identify the non-ore body local blocks, and obtaining the non-ore body infrared spectrum map;

[0023] The hardness of the material type corresponding to the spectral feature with the highest proportion in the non-ore body infrared spectrum is taken as the non-ore body feature, and the non-ore body feature is paired with the non-ore body local block.

[0024] Preferably, forming a blasting path based on the buried characteristics of the ore body comprises the following steps:

[0025] Obtain the shortest path of a point on the surface of the ore body model passing through the model surrounding the ore body, obtain at least one characteristic path, the length difference between the characteristic path and the shortest path is less than a preset distance, the characteristic path passes through the model surrounding the ore body, and the end point of the characteristic path is any point on the surface of the ore body model;

[0026] The non-ore body local block that the characteristic path passes through is taken as the target non-ore body local block;

[0027] Taking an average of the non-ore body characteristics of at least one target non-ore body local block corresponding to the characteristic path to obtain a blasting assessment value;

[0028] The characteristic path whose blasting evaluation value is less than the preset value is selected as the blasting path.

[0029] Preferably, forming a preliminary mining trajectory plan based on the ore body characteristics comprises the following steps:

[0030] Obtaining an intersection point between at least one end of a blasting path and the surface of the ore body model as a mining starting point;

[0031] At least one mining path to be tested is formed in the ore body model, the mining path to be tested takes the mining starting point as the starting point, and a local block of the ore body passed by the mining path to be tested is obtained as the target local block of the ore body;

[0032] The local block of the ore body adjacent to the local block of the target ore body is regarded as the local block of the secondary ore body;

[0033] Taking an average of the ore body characteristics of the local block of the target ore body corresponding to the mining path to be measured, to obtain a first hardness;

[0034] Taking the average of the ore body characteristics of the local block of the secondary ore body corresponding to the mining path to be tested, a second hardness is obtained;

[0035] The second hardness is divided by the first hardness to obtain the mining coefficient of the mining path to be tested;

[0036] Selecting a preset number of mining paths to be tested with the largest mining coefficients as target mining paths;

[0037] The blasting paths whose ends pass through the starting point of the target mining path are paired with the target mining path to form at least one preliminary mining trajectory plan.

[0038] Preferably, the calculation of the feasibility coefficient of the preliminary mining trajectory scheme comprises the following steps:

[0039] Based on the length of the blasting path and the cross-sectional area of ​​the blasting path in the prepared mining trajectory plan, the non-ore body excavation volume is obtained;

[0040] uniformly taking at least one sampling point on the target mining path in the prepared mining trajectory plan;

[0041] Obtaining the transportation cost of transporting the ore from the sampling point to the outside world, taking the average of at least one transportation cost to obtain the ore transportation cost;

[0042] Use the feasibility formula to calculate the feasibility coefficient of the preliminary mining trajectory plan;

[0043] The feasibility formula is as follows:

[0044]

[0045] Among them, A is the feasibility coefficient, a is the ore transportation cost, and b is the non-ore body excavation volume.

[0046] Preferably, the calculation of the reinforcement coefficient of the sampling point includes the following steps:

[0047] Obtaining a characteristic ore body local block located at the top of the sampling point, satisfying that the characteristic ore body local block is adjacent to but not intersecting with the target mining path of the mining trajectory plan;

[0048] Obtaining the ore body local block adjacent to the side of the characteristic ore body local block as the secondary ore body local block;

[0049] The ore body characteristics of the minor ore body local block and the characteristic ore body local block are averaged to obtain the support hardness;

[0050] The density of the material type corresponding to the spectral feature with the highest proportion in the infrared spectrum of the local block of the characteristic ore body is taken as the characteristic density, and the volume of the local block of the characteristic ore body is taken as the characteristic volume;

[0051] Using the support formula, the reinforcement coefficient of the sampling point is calculated;

[0052] The supporting formula is as follows:

[0053]

[0054] Among them, B is the reinforcement coefficient, c is the characteristic density, d is the characteristic volume, and e is the support hardness.

[0055] Preferably, forming the reinforcement critical value of the reinforcement coefficient comprises the following steps:

[0056] Based on historical data, a value range of the reinforcement coefficient is obtained, and the value range of the reinforcement coefficient is divided into equal intervals to obtain at least one identification point;

[0057] Under the condition that the reinforcement coefficient is equal to the value at the identification point, the number of collapses is counted;

[0058] The identification point with a collapse time of 0 is taken as the target identification point;

[0059] The maximum value of the target identification point is used as the reinforcement critical value of the reinforcement coefficient.

[0060] Preferably, obtaining the safety factor, cost factor and mining difficulty factor of the mining mode comprises the following steps:

[0061] The amount of vibration generated by mining according to the mining pattern is used as a safety factor;

[0062] The cost of electricity consumption per unit weight of ore mined according to the mining mode is used as the cost coefficient;

[0063] The time required to mine a unit weight of ore according to the mining mode is used as the mining difficulty coefficient.

[0064] Preferably, the forming of the weights of the safety factor, the cost factor and the mining difficulty factor and the calculation of the adaptability of the mining mode comprises the following steps:

[0065] Obtaining the vibration amount that causes the collapse as a characteristic vibration amount, and obtaining the restoration cost of the collapse corresponding to the characteristic vibration amount;

[0066] The repair cost is divided by the characteristic vibration amount to obtain the weight of the safety factor;

[0067] Set the weight of the cost coefficient to 1;

[0068] Get the total cost increase of mining when the mining time increases per unit time, as the weight of the mining difficulty coefficient;

[0069] Use the fitness formula to calculate the fitness of the mining mode;

[0070] The fitness formula is as follows:

[0071]

[0072] Among them, C is the adaptability of the mining mode, α is the weight of the safety factor, f is the safety factor, β is the weight of the cost coefficient, g is the cost coefficient, γ is the weight of the mining difficulty coefficient, and h is the mining difficulty coefficient.

[0073] A metal mine mining design system based on ore body characteristics, used to implement the above-mentioned metal mine mining design method based on ore body characteristics, comprising:

[0074] A modeling module, wherein the modeling module performs 3D modeling on the ore body to obtain an ore body model, evenly divides the ore body model into at least one ore body local block, models the area around the ore body to obtain an ore body surrounding model, and evenly divides the ore body surrounding model into at least one non-ore body local block;

[0075] A feature extraction module, wherein the feature extraction module analyzes the local blocks of the ore body and the local blocks of the non-ore body respectively to obtain the ore body characteristics and the ore body buried characteristics;

[0076] A path forming module, wherein the path forming module forms a blasting path based on the buried characteristics of the ore body;

[0077] A scheme forming module, wherein the scheme forming module forms a preliminary mining trajectory scheme based on the characteristics of the ore body;

[0078] A scheme screening module, wherein the scheme screening module calculates the feasibility coefficients of the preliminary mining trajectory schemes and selects the preliminary mining trajectory scheme with the largest feasibility coefficient as the mining trajectory scheme;

[0079] A reinforcement module, wherein the reinforcement module evenly sets at least one sampling point in the target mining path of the mining trajectory plan, calculates a reinforcement coefficient of the sampling point, forms a reinforcement critical value of the reinforcement coefficient, and performs reinforcement at the sampling point where the reinforcement coefficient is greater than the reinforcement critical value;

[0080] A mining module, wherein the mining module performs mining according to the trajectory set in the mining trajectory plan during mining;

[0081] A mode selection module, wherein the mode selection module obtains at least one mining mode of a metal mine, obtains the safety factor, cost factor and mining difficulty factor of the mining mode, forms weights of the safety factor, cost factor and mining difficulty factor, calculates the adaptability of the mining mode, and selects the mining mode with the greatest adaptability as the implementation method of the mining trajectory plan.

[0082] Compared with the prior art, the present invention has the following beneficial effects:

[0083] By obtaining the characteristics of the ore body and the burial characteristics of the ore body, forming the blasting path, obtaining the mining trajectory plan and selecting the mining mode, it is possible to plan the mining path and the blasting path to ensure the economy and feasibility of the design. At the same time, the mining mode is comprehensively considered, and through the calculation of various coefficients and the integration of calculations, the most suitable mining mode can be selected for mining, thereby ensuring that the designed mining plan strikes a relatively balanced balance between safety, cost and mining difficulty. BRIEF DESCRIPTION OF THE DRAWINGS

[0084] Figure 1 It is a schematic flow chart of the metal ore mining design method based on ore body characteristics of the present invention;

[0085] Figure 2 A schematic diagram of a process of analyzing a local block of an ore body and a local block of a non-ore body respectively to obtain ore body characteristics and ore body burial characteristics according to the present invention;

[0086] Figure 3 It is a schematic diagram of the process of forming a blasting path based on the buried characteristics of the ore body of the present invention;

[0087] Figure 4 It is a schematic diagram of the process of forming a preliminary mining trajectory plan based on ore body characteristics of the present invention;

[0088] Figure 5 A schematic diagram of a process for calculating a feasibility coefficient of a preliminary mining trajectory scheme of the present invention;

[0089] Figure 6 A schematic diagram of a process for calculating the reinforcement coefficient of a sampling point according to the present invention;

[0090] Figure 7A schematic diagram of a process for forming a reinforcement critical value of a reinforcement coefficient according to the present invention;

[0091] Figure 8 A schematic diagram of a process for obtaining the safety factor, cost factor and mining difficulty factor of a mining mode according to the present invention;

[0092] Fig. 9 The present invention is a flow chart of forming the weights of the safety factor, cost factor and mining difficulty factor, and calculating the adaptability of the mining mode. DETAILED DESCRIPTION

[0093] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0094] Reference Figure 1 As shown, a metal mine mining design method based on ore body characteristics includes:

[0095] Perform 3D modeling on the ore body to obtain an ore body model, and evenly divide the ore body model into at least one ore body local block;

[0096] Modeling the area around the ore body to obtain a model around the ore body, and evenly dividing the model around the ore body into at least one non-ore body local block;

[0097] Analyze the local blocks of ore bodies and the local blocks of non-ore bodies respectively to obtain the ore body characteristics and ore body burial characteristics;

[0098] Based on the buried characteristics of the ore body, the blasting path is formed;

[0099] Based on the characteristics of the ore body, a preliminary mining trajectory plan is formed;

[0100] Calculate the feasibility coefficients of the preliminary mining trajectory plans, and select the preliminary mining trajectory plan with the largest feasibility coefficient as the mining trajectory plan;

[0101] At least one sampling point is evenly set in the target mining path of the mining trajectory plan, and the reinforcement coefficient of the sampling point is calculated;

[0102] A reinforcement critical value of the reinforcement coefficient is formed, and reinforcement is performed at the sampling points where the reinforcement coefficient is greater than the reinforcement critical value;

[0103] During mining, mining is carried out according to the trajectory set in the mining trajectory plan;

[0104] Obtain at least one mining mode of a metal mine, and obtain a safety factor, a cost factor, and a mining difficulty factor of the mining mode;

[0105] The weights of safety factor, cost factor and mining difficulty factor are formed, the adaptability of the mining mode is calculated, and the mining mode with the greatest adaptability is selected as the implementation method of the mining trajectory plan.

[0106] Metal ore is an ore. The content of metal ore in each part of the ore is different, which will lead to different hardness and support force. Therefore, when excavating, it is necessary to plan the path according to the hardness and design a path that is easier to excavate. In addition, since it is underground mining, it is necessary to blast out the mining entrance. Since gravel and soil need to be cleaned after blasting, the shorter the blasting path, the less gravel and soil need to be cleaned, and the lower the labor cost. Therefore, it is necessary to plan the blasting path;

[0107] There are different mining modes, including shallow hole ore retention method, upward layered mining method, natural caving method and staged caving method. Each mining mode has different costs and causes different vibrations. Therefore, it is necessary to comprehensively consider different factors and select the most appropriate mining mode.

[0108] In this solution, a corresponding algorithm is set to solve the above-mentioned situation.

[0109] Reference Figure 2 As shown, the local blocks of the ore body and the local blocks of the non-ore body are analyzed respectively to obtain the ore body characteristics and the ore body buried characteristics, including the following steps:

[0110] Based on the big data, at least one substance type appearing near the metal mine is obtained, and the spectral characteristics of the substance type under the infrared spectrum are obtained;

[0111] Use infrared spectrum to identify local blocks of ore bodies and obtain infrared spectrum of ore bodies;

[0112] The hardness of the material type corresponding to the spectral feature with the highest proportion in the infrared spectrum of the ore body is taken as the ore body feature, and the ore body feature is paired with the local block of the ore body;

[0113] Using infrared spectrum to identify the non-ore body local blocks, and obtaining the non-ore body infrared spectrum map;

[0114] The hardness of the material type corresponding to the spectral feature with the highest proportion in the non-ore body infrared spectrum is taken as the non-ore body feature, and the non-ore body feature is paired with the non-ore body local block.

[0115] Since local blocks of ore bodies and local blocks of non-ore bodies are both very small parts, using the material with the highest proportion as the attribute of local blocks of ore bodies and local blocks of non-ore bodies has a high degree of approximation and can fully estimate the properties of local blocks of ore bodies and local blocks of non-ore bodies. In subsequent steps such as path design, the hardness of local blocks of ore bodies and local blocks of non-ore bodies plays a more important role in estimating the difficulty of mining and the possibility of collapse.

[0116] Reference Figure 3 As shown, based on the buried characteristics of the ore body, forming the blasting path includes the following steps:

[0117] Obtain the shortest path of a point on the surface of the ore body model passing through the model surrounding the ore body, obtain at least one characteristic path, the length difference between the characteristic path and the shortest path is less than a preset distance, the characteristic path passes through the model surrounding the ore body, and the end point of the characteristic path is any point on the surface of the ore body model;

[0118] The non-ore body local block that the characteristic path passes through is taken as the target non-ore body local block;

[0119] Taking an average of the non-ore body characteristics of at least one target non-ore body local block corresponding to the characteristic path to obtain a blasting assessment value;

[0120] The characteristic path whose blasting evaluation value is less than the preset value is selected as the blasting path.

[0121] The selection of blasting paths depends on the transportation volume of blasting materials. Explosive materials must be transported to the ground, which requires labor costs. Therefore, in order to control costs, it is necessary to control the length of the blasting path, and then select at least one blasting path that meets the conditions, and further screen it in the subsequent preliminary mining trajectory plan;

[0122] The blasting path is obviously a path that penetrates the model around the ore body, and its end point must be on the surface of the ore body model.

[0123] Reference Figure 4 As shown, based on the characteristics of the ore body, forming a preliminary mining trajectory plan includes the following steps:

[0124] Obtaining an intersection point between at least one end of a blasting path and the surface of the ore body model as a mining starting point;

[0125] At least one mining path to be tested is formed in the ore body model, the mining path to be tested takes the mining starting point as the starting point, and a local block of the ore body passed by the mining path to be tested is obtained as the target local block of the ore body;

[0126] The local block of the ore body adjacent to the local block of the target ore body is regarded as the local block of the secondary ore body;

[0127] Taking an average of the ore body characteristics of the local block of the target ore body corresponding to the mining path to be measured, to obtain a first hardness;

[0128] Taking the average of the ore body characteristics of the local block of the secondary ore body corresponding to the mining path to be tested, a second hardness is obtained;

[0129] The second hardness is divided by the first hardness to obtain the mining coefficient of the mining path to be tested;

[0130] Selecting a preset number of mining paths to be tested with the largest mining coefficients as target mining paths;

[0131] The blasting paths whose ends pass through the starting point of the target mining path are paired with the target mining path to form at least one preliminary mining trajectory plan.

[0132] The mining path to be tested needs to ensure two points. First, the mining difficulty is small, that is, the hardness of the ore in the mining path is relatively small, which makes it easier to mine. Second, the safety is high, that is, the hardness of the ore around the mining path needs to be higher, so that its supporting force is stronger and it is not easy to collapse. Therefore, the mining coefficient is set equal to the second hardness divided by the first hardness. Therefore, the mining path to be tested with a larger mining coefficient must be satisfied with the second hardness being larger and the first hardness being smaller. Here, selecting the mining path to be tested with the largest preset number of mining coefficients refers to the mining path to be tested with the largest preset number of mining coefficients. Thus, multiple target mining paths and multiple blasting paths are obtained, but to form a plan, it is necessary to ensure that the target mining path and the blasting path are connected. Therefore, the blasting path whose end passes through the starting point of the target mining path is paired with the target mining path to form at least one preliminary mining trajectory plan.

[0133] Reference Figure 5 As shown, calculating the feasibility coefficient of the preliminary mining trajectory plan includes the following steps:

[0134] Based on the length of the blasting path and the cross-sectional area of ​​the blasting path in the prepared mining trajectory plan, the non-ore body excavation volume is obtained;

[0135] uniformly taking at least one sampling point on the target mining path in the prepared mining trajectory plan;

[0136] Obtaining the transportation cost of transporting the ore from the sampling point to the outside world, taking the average of at least one transportation cost to obtain the ore transportation cost;

[0137] Use the feasibility formula to calculate the feasibility coefficient of the preliminary mining trajectory plan;

[0138] The feasibility formula is as follows:

[0139]

[0140] Among them, A is the feasibility coefficient, a is the ore transportation cost, and b is the non-ore body excavation volume.

[0141] According to common sense, it is easy to know that feasibility is inversely proportional to the cost of ore transportation and inversely proportional to the amount of non-ore body excavation. Therefore, the feasibility formula is set as above, and the feasibility coefficient calculated is reasonable.

[0142] Reference Figure 6 As shown, calculating the reinforcement coefficient of the sampling point includes the following steps:

[0143] Obtaining a characteristic ore body local block located at the top of the sampling point, satisfying that the characteristic ore body local block is adjacent to but not intersecting with the target mining path of the mining trajectory plan;

[0144] Obtaining the ore body local block adjacent to the side of the characteristic ore body local block as the secondary ore body local block;

[0145] The ore body characteristics of the minor ore body local block and the characteristic ore body local block are averaged to obtain the support hardness;

[0146] The density of the material type corresponding to the spectral feature with the highest proportion in the infrared spectrum of the local block of the characteristic ore body is taken as the characteristic density, and the volume of the local block of the characteristic ore body is taken as the characteristic volume;

[0147] Using the support formula, the reinforcement coefficient of the sampling point is calculated;

[0148] The supporting formula is as follows:

[0149]

[0150] Among them, B is the reinforcement coefficient, c is the characteristic density, d is the characteristic volume, and e is the support hardness.

[0151] During mining, the mined path also needs to be reinforced, otherwise, collapse is likely to occur, leading to safety accidents. The collapse mainly depends on the supporting force between the characteristic ore body local block at the top of the sampling point and the secondary ore body local block. The greater the supporting force, the less likely the characteristic ore body local block will collapse. This support is related to their mutual hardness and the weight of the characteristic ore body local block.

[0152] Reference Figure 7 As shown, forming the reinforcement critical value of the reinforcement coefficient includes the following steps:

[0153] Based on historical data, a value range of the reinforcement coefficient is obtained, and the value range of the reinforcement coefficient is divided into equal intervals to obtain at least one identification point;

[0154] Under the condition that the reinforcement coefficient is equal to the value at the identification point, the number of collapses is counted;

[0155] The identification point with a collapse time of 0 is taken as the target identification point;

[0156] The maximum value of the target identification point is used as the reinforcement critical value of the reinforcement coefficient.

[0157] Reference Figure 8 As shown, obtaining the safety factor, cost factor and mining difficulty factor of the mining mode includes the following steps:

[0158] The amount of vibration generated by mining according to the mining pattern is used as a safety factor;

[0159] The cost of electricity consumption per unit weight of ore mined according to the mining mode is used as the cost coefficient;

[0160] The time required to mine a unit weight of ore according to the mining mode is used as the mining difficulty coefficient.

[0161] Reference Fig. 9 As shown, forming the weights of safety factor, cost factor and mining difficulty factor, and calculating the adaptability of the mining mode include the following steps:

[0162] Obtaining the vibration amount that causes the collapse as a characteristic vibration amount, and obtaining the restoration cost of the collapse corresponding to the characteristic vibration amount;

[0163] The repair cost is divided by the characteristic vibration amount to obtain the weight of the safety factor;

[0164] Set the weight of the cost coefficient to 1;

[0165] Get the total cost increase of mining when the mining time increases per unit time, as the weight of the mining difficulty coefficient;

[0166] Use the fitness formula to calculate the fitness of the mining mode;

[0167] The fitness formula is as follows:

[0168]

[0169] Among them, C is the adaptability of the mining mode, α is the weight of the safety factor, f is the safety factor, β is the weight of the cost coefficient, g is the cost coefficient, γ is the weight of the mining difficulty coefficient, and h is the mining difficulty coefficient.

[0170] Since the safety factor, cost factor and mining difficulty coefficient are different quantities, they cannot be directly summarized. When summarizing, they need to be converted into the same type of quantities. Therefore, they are all converted into costs. Since the cost coefficient itself is a cost, there is no need to convert it. Its weight is set to 1. By making the characteristic vibration amount correspond to the collapse repair cost, the cost corresponding to the unit vibration amount can be obtained. Therefore, it can be used as a weight and multiplied with the safety factor to obtain the cost corresponding to the safety factor. Here, according to the definition, the safety factor is the vibration amount. Similarly, the weight of the mining difficulty coefficient can be obtained.

[0171] A metal mine mining design system based on ore body characteristics, used to implement the above-mentioned metal mine mining design method based on ore body characteristics, comprising:

[0172] A modeling module, wherein the modeling module performs 3D modeling on the ore body to obtain an ore body model, evenly divides the ore body model into at least one ore body local block, models the area around the ore body to obtain an ore body surrounding model, and evenly divides the ore body surrounding model into at least one non-ore body local block;

[0173] A feature extraction module, wherein the feature extraction module analyzes the local blocks of the ore body and the local blocks of the non-ore body respectively to obtain the ore body characteristics and the ore body buried characteristics;

[0174] A path forming module, wherein the path forming module forms a blasting path based on the buried characteristics of the ore body;

[0175] A scheme forming module, wherein the scheme forming module forms a preliminary mining trajectory scheme based on the characteristics of the ore body;

[0176] A scheme screening module, wherein the scheme screening module calculates the feasibility coefficients of the preliminary mining trajectory schemes and selects the preliminary mining trajectory scheme with the largest feasibility coefficient as the mining trajectory scheme;

[0177] A reinforcement module, wherein the reinforcement module evenly sets at least one sampling point in the target mining path of the mining trajectory plan, calculates a reinforcement coefficient of the sampling point, forms a reinforcement critical value of the reinforcement coefficient, and performs reinforcement at the sampling point where the reinforcement coefficient is greater than the reinforcement critical value;

[0178] A mining module, wherein the mining module performs mining according to the trajectory set in the mining trajectory plan during mining;

[0179] A mode selection module, wherein the mode selection module obtains at least one mining mode of a metal mine, obtains the safety factor, cost factor and mining difficulty factor of the mining mode, forms weights of the safety factor, cost factor and mining difficulty factor, calculates the adaptability of the mining mode, and selects the mining mode with the greatest adaptability as the implementation method of the mining trajectory plan.

[0180] Furthermore, the present solution also proposes a storage medium on which a computer-readable program is stored, and when the computer-readable program is called, the above-mentioned metal mine mining design method based on ore body characteristics is executed.

[0181] It is understandable that the storage medium may be a magnetic medium, such as a floppy disk, a hard disk, or a magnetic tape; an optical medium, such as a DVD; or a semiconductor medium, such as a solid state drive (SSD).

[0182] To sum up, the advantages of the present invention are: by obtaining the characteristics of the ore body and the burial characteristics of the ore body, forming a blasting path, obtaining a mining trajectory plan and selecting a mining mode, the mining path planning and blasting path planning can be carried out to ensure the economy and feasibility of the design. At the same time, the mining mode is comprehensively considered, and through the calculation of various coefficients and the integration of calculations, the mining mode with the highest degree of adaptability can be selected for mining, thereby ensuring that the designed mining plan strikes a relatively balanced balance between safety, cost and mining difficulty.

[0183] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A metal mine mining design method based on ore body characteristics, characterized in that: include: Perform 3D modeling on the ore body to obtain an ore body model, and evenly divide the ore body model into at least one ore body local block; Modeling the area around the ore body to obtain a model around the ore body, and evenly dividing the model around the ore body into at least one non-ore body local block; Analyze the local blocks of ore bodies and the local blocks of non-ore bodies respectively to obtain the ore body characteristics and ore body burial characteristics; Based on the buried characteristics of the ore body, the blasting path is formed; Based on the characteristics of the ore body, a preliminary mining trajectory plan is formed; Calculate the feasibility coefficients of the preliminary mining trajectory plans, and select the preliminary mining trajectory plan with the largest feasibility coefficient as the mining trajectory plan; At least one sampling point is evenly set in the target mining path of the mining trajectory plan, and the reinforcement coefficient of the sampling point is calculated; A reinforcement critical value of the reinforcement coefficient is formed, and reinforcement is performed at the sampling points where the reinforcement coefficient is greater than the reinforcement critical value; During mining, mining is carried out according to the trajectory set in the mining trajectory plan; Obtain at least one mining mode of a metal mine, and obtain a safety factor, a cost factor, and a mining difficulty factor of the mining mode; The weights of safety factor, cost factor and mining difficulty factor are formed, the adaptability of the mining mode is calculated, and the mining mode with the greatest adaptability is selected as the implementation method of the mining trajectory plan.

2. A method for designing metal mine mining based on ore body characteristics according to claim 1, characterized in that: The analysis of the local blocks of the ore body and the local blocks of the non-ore body to obtain the ore body characteristics and the ore body buried characteristics comprises the following steps: Based on the big data, at least one substance type appearing near the metal mine is obtained, and the spectral characteristics of the substance type under the infrared spectrum are obtained; Use infrared spectrum to identify local blocks of ore bodies and obtain infrared spectrum of ore bodies; The hardness of the material type corresponding to the spectral feature with the highest proportion in the infrared spectrum of the ore body is taken as the ore body feature, and the ore body feature is paired with the local block of the ore body; Using infrared spectrum to identify the non-ore body local blocks, and obtaining the non-ore body infrared spectrum map; The hardness of the material type corresponding to the spectral feature with the highest proportion in the non-ore body infrared spectrum is taken as the non-ore body feature, and the non-ore body feature is paired with the non-ore body local block.

3. A method for designing metal mine mining based on ore body characteristics according to claim 2, characterized in that: The forming of the blasting path based on the buried characteristics of the ore body comprises the following steps: Obtain the shortest path of a point on the surface of the ore body model passing through the model surrounding the ore body, obtain at least one characteristic path, the length difference between the characteristic path and the shortest path is less than a preset distance, the characteristic path passes through the model surrounding the ore body, and the end point of the characteristic path is any point on the surface of the ore body model; The non-ore body local block that the characteristic path passes through is taken as the target non-ore body local block; Taking an average of the non-ore body characteristics of at least one target non-ore body local block corresponding to the characteristic path to obtain a blasting assessment value; The characteristic path whose blasting evaluation value is less than the preset value is selected as the blasting path.

4. A method for designing metal mine mining based on ore body characteristics according to claim 3, characterized in that: The forming of a preliminary mining trajectory plan based on the ore body characteristics comprises the following steps: Obtaining an intersection point between at least one end of a blasting path and the surface of the ore body model as a mining starting point; At least one mining path to be tested is formed in the ore body model, the mining path to be tested takes the mining starting point as the starting point, and a local block of the ore body passed by the mining path to be tested is obtained as the target local block of the ore body; The local block of the ore body adjacent to the local block of the target ore body is regarded as the local block of the secondary ore body; Taking an average of the ore body characteristics of the local block of the target ore body corresponding to the mining path to be measured, to obtain a first hardness; Taking the average of the ore body characteristics of the local block of the secondary ore body corresponding to the mining path to be tested, a second hardness is obtained; The second hardness is divided by the first hardness to obtain the mining coefficient of the mining path to be tested; Selecting a preset number of mining paths to be tested with the largest mining coefficients as target mining paths; The blasting paths whose ends pass through the starting point of the target mining path are paired with the target mining path to form at least one preliminary mining trajectory plan.

5. A method for designing metal mine mining based on ore body characteristics according to claim 4, characterized in that: The feasibility coefficient of the calculation of the preliminary mining trajectory scheme includes the following steps: Based on the length of the blasting path and the cross-sectional area of ​​the blasting path in the prepared mining trajectory plan, the non-ore body excavation volume is obtained; uniformly taking at least one sampling point on the target mining path in the prepared mining trajectory plan; Obtaining the transportation cost of transporting the ore from the sampling point to the outside world, taking the average of at least one transportation cost to obtain the ore transportation cost; Use the feasibility formula to calculate the feasibility coefficient of the preliminary mining trajectory plan; The feasibility formula is as follows: Among them, A is the feasibility coefficient, a is the ore transportation cost, and b is the non-ore body excavation volume.

6. A method for designing metal mine mining based on ore body characteristics according to claim 5, characterized in that: The calculation of the reinforcement coefficient of the sampling point comprises the following steps: Obtaining a characteristic ore body local block located at the top of the sampling point, satisfying that the characteristic ore body local block is adjacent to but not intersecting with the target mining path of the mining trajectory plan; Obtaining the ore body local block adjacent to the side of the characteristic ore body local block as the secondary ore body local block; The ore body characteristics of the minor ore body local block and the characteristic ore body local block are averaged to obtain the support hardness; The density of the material type corresponding to the spectral feature with the highest proportion in the infrared spectrum of the local block of the characteristic ore body is taken as the characteristic density, and the volume of the local block of the characteristic ore body is taken as the characteristic volume; Using the support formula, the reinforcement coefficient of the sampling point is calculated; The supporting formula is as follows: Among them, B is the reinforcement coefficient, c is the characteristic density, d is the characteristic volume, and e is the support hardness.

7. A method for designing metal mine mining based on ore body characteristics according to claim 6, characterized in that: The reinforcement critical value of the reinforcement coefficient is formed by the following steps: Based on historical data, a value range of the reinforcement coefficient is obtained, and the value range of the reinforcement coefficient is divided into equal intervals to obtain at least one identification point; Under the condition that the reinforcement coefficient is equal to the value at the identification point, the number of collapses is counted; The identification point with a collapse time of 0 is taken as the target identification point; The maximum value of the target identification point is used as the reinforcement critical value of the reinforcement coefficient.

8. A method for designing metal mine mining based on ore body characteristics according to claim 7, characterized in that: The method of obtaining the safety factor, cost factor and mining difficulty factor of the mining mode comprises the following steps: The amount of vibration generated by mining according to the mining pattern is used as a safety factor; The cost of electricity consumption per unit weight of ore mined according to the mining mode is used as the cost coefficient; The time required to mine a unit weight of ore according to the mining mode is used as the mining difficulty coefficient.

9. A method for designing metal mine mining based on ore body characteristics according to claim 8, characterized in that: The forming of the weights of the safety factor, the cost factor and the mining difficulty factor and the calculation of the adaptability of the mining mode comprises the following steps: Obtaining the vibration amount that causes the collapse as a characteristic vibration amount, and obtaining the restoration cost of the collapse corresponding to the characteristic vibration amount; The repair cost is divided by the characteristic vibration amount to obtain the weight of the safety factor; Set the weight of the cost coefficient to 1; Get the total cost increase of mining when the mining time increases per unit time, as the weight of the mining difficulty coefficient; Use the fitness formula to calculate the fitness of the mining mode; The fitness formula is as follows: Among them, C is the adaptability of the mining mode, α is the weight of the safety factor, f is the safety factor, β is the weight of the cost coefficient, g is the cost coefficient, γ is the weight of the mining difficulty coefficient, and h is the mining difficulty coefficient.

10. A metal mine mining design system based on ore body characteristics, used to implement the metal mine mining design method based on ore body characteristics as claimed in any one of claims 1 to 9, characterized in that: include: A modeling module, wherein the modeling module performs 3D modeling on the ore body to obtain an ore body model, evenly divides the ore body model into at least one ore body local block, models the area around the ore body to obtain an ore body surrounding model, and evenly divides the ore body surrounding model into at least one non-ore body local block; A feature extraction module, wherein the feature extraction module analyzes the local blocks of the ore body and the local blocks of the non-ore body respectively to obtain the ore body characteristics and the ore body buried characteristics; A path forming module, wherein the path forming module forms a blasting path based on the buried characteristics of the ore body; A scheme forming module, wherein the scheme forming module forms a preliminary mining trajectory scheme based on the characteristics of the ore body; A scheme screening module, wherein the scheme screening module calculates the feasibility coefficients of the preliminary mining trajectory schemes and selects the preliminary mining trajectory scheme with the largest feasibility coefficient as the mining trajectory scheme; A reinforcement module, wherein the reinforcement module evenly sets at least one sampling point in the target mining path of the mining trajectory plan, calculates a reinforcement coefficient of the sampling point, forms a reinforcement critical value of the reinforcement coefficient, and performs reinforcement at the sampling point where the reinforcement coefficient is greater than the reinforcement critical value; A mining module, wherein the mining module performs mining according to the trajectory set in the mining trajectory plan during mining; A mode selection module, wherein the mode selection module obtains at least one mining mode of a metal mine, obtains the safety factor, cost factor and mining difficulty factor of the mining mode, forms weights of the safety factor, cost factor and mining difficulty factor, calculates the adaptability of the mining mode, and selects the mining mode with the greatest adaptability as the implementation method of the mining trajectory plan.

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