Method for determining explosive unit consumption based on drilling rig working parameters and optimal comprehensive energy consumption of mining and selection

Abstract

The present invention proposes a method for determining the unit consumption of explosives based on the working parameters of the drilling rig and the optimal comprehensive energy consumption of mining and selection, and relates to the technical field of energy conservation and consumption reduction in open-pit mines. The method comprises: drilling a single blasthole in the area to be blasted, and obtaining the drilling parameters of the drilling rig; evaluating the ore mechanical parameters and ore body structure parameters of the ore body to be blasted according to the drilling parameters; establishing a relationship model between the comprehensive energy consumption of mining and selection of the ore body to be blasted and the average blasting fragmentation according to the ore mechanical parameters and ore body structure parameters; determining the average blasting fragmentation when the energy consumption is the lowest and calculating the required unit consumption of explosives. The present invention can quickly determine the unit consumption of explosives with the lowest comprehensive energy consumption for mining and selection for different blasting areas only through the drilling process in the initial process of open-pit mining, providing effective guidance for the blasting design of open-pit mines, and is of great significance for promoting energy conservation and consumption reduction in open-pit mines.

Description

Technical Field

[0001] The invention relates to the technical field of energy saving and consumption reduction in open-pit mines, and in particular to a method for determining explosive unit consumption based on drilling rig working parameters and optimal mining and selection comprehensive energy consumption. Background Art

[0002] The mining process includes rock drilling, blasting, shoveling, transportation, crushing, grinding and other processes. Among them, blasting is the upstream process of mining, and the effect of blasting affects the efficiency and energy consumption of each production link. Through reasonable blasting design, the optimal blasting block size can be achieved, and energy saving and consumption reduction in industrial processes can be achieved, which has become an important way to promote the construction of green mines.

[0003] The factors affecting the blasting effect include blasting design and mechanical properties of the ore body. Among them, blasting design is artificially controllable, while the mechanical properties of the ore body are uncontrollable factors. The key to obtaining a good blasting effect is to timely explore the mechanical properties of the blasting object and formulate a blasting design that matches it. Patent CN117556686A discloses a method and system for optimizing the unit consumption of blasting explosives based on drilling rig operating parameters. The invention uses drilling rig parameters to invert the ore strength at different depths, and then determines the unit consumption of explosives according to different ore strengths. However, the invention does not provide a basis for determining the unit consumption of explosives, such as the unit consumption of explosives when the shoveling efficiency is optimal or the unit consumption of explosives when the crushing energy consumption is lowest; in addition, the invention does not involve the specific relationship between the unit consumption of explosives and the strength of the ore and its quantitative calculation method, which results in the blasting staff being unable to determine the specific value of the unit consumption of explosives through this method.

[0004] The above analysis shows that in the existing technology, there is still a lack of a method that can be attached to the mine's own mining process, does not require additional work, takes into account the spatial variability of the ore body, targets different blasting areas, and takes the lowest comprehensive energy consumption of the entire process from mining to grinding as the goal, and quickly determines the unit consumption of explosives before blasting. Summary of the invention

[0005] In view of the limitations of the prior art, the present invention provides a method for determining the unit consumption of explosives based on the working parameters of the drilling rig and the optimal comprehensive energy consumption of mining and selection. The method can use the drilling process at the upstream of mining to quickly determine the unit consumption of explosives when the comprehensive energy consumption of mining and selection in the target blasting area is the lowest, without the need for other additional processes and preliminary work. The method includes:

[0006] Drill a single blasthole in the area to be blasted and obtain the drilling parameters of the drilling rig;

[0007] According to the obtained drilling parameters, the ore mechanical parameters and ore body structure parameters of the ore body to be blasted are evaluated;

[0008] According to the obtained ore mechanical parameters and ore body structure parameters, a relationship model between the comprehensive energy consumption of mining and dressing of the ore body to be blasted and the average blasting fragmentation is established;

[0009] According to the relationship model between comprehensive energy consumption and average blasting fragmentation, the average blasting fragmentation when the comprehensive energy consumption is the lowest is determined;

[0010] Calculate the required unit consumption of explosives based on the average blasting size when the comprehensive energy consumption is lowest.

[0011] Furthermore, the drilling of a single blasthole in the area to be blasted and obtaining the drilling parameters of the drilling rig include:

[0012] Sensors are installed on the drilling rig to obtain drilling parameters such as thrust, torque, drilling speed and rotation speed at different drilling depths during the drilling process.

[0013] Furthermore, the ore mechanical parameters include uniaxial compressive strength UCS, elastic modulus E, hardness index HF and ore density influence index RDI; the ore body structural parameters include ore quality description index RMD, joint plane spacing index JPS and joint plane orientation index JPO.

[0014] Furthermore, the relationship model between the comprehensive energy consumption of mining and selection of the ore body to be blasted and the average blasting fragmentation is established based on the obtained ore mechanical parameters and ore body structure parameters, including:

[0015] According to the obtained ore mechanical parameters and ore body structure parameters, calculate the ore coefficient A:

[0016] A=0.06(RMD+JPS+JPO+RDI+HF) (1)

[0017] According to the obtained ore mechanical parameters, ore body structure parameters and ore coefficient, mathematical models of energy consumption of average blasting block size x50 and rock drilling, blasting, shoveling, transportation, crushing and grinding are established respectively, and according to the working conditions of mining machinery and equipment, the parameters in the model are calibrated to obtain the energy consumption mathematical models E1, E2, E3, E4, E5 and E6 which are only related to x50;

[0018] Establish the comprehensive energy consumption E of the ore body to be blasted from mining to grinding total The relationship model with the average blasting block size x50 is expressed as: E total =E1+E2+E3+E4+E5+E6.

[0019] Furthermore, the mathematical models of average blasting fragmentation x50 and rock drilling energy consumption E1, blasting energy consumption E2, shoveling energy consumption E3, transportation energy consumption E4, crushing energy consumption E5, and grinding energy consumption E6 are:

[0020]

[0021]

[0022] Among them, L1 represents the drilling depth; P1 represents the drilling rig power; K1 represents the drilling efficiency; Q represents the charge per hole; E' represents the power of the explosive relative to TNT; Q v represents the explosive heat; V1 represents the bucket volume; K2 represents the shovel cycle; P2 represents the shovel power; δ1 represents the shovel full bucket coefficient, δ1=-0.021x50+1.63; P3 represents the truck power; K3 represents the truck transportation cycle; V2 represents the truck volume; δ2 represents the truck full bucket coefficient, δ2=-7×10 -5 x50+0.86; k1 represents the ratio of dynamic compressive strength to static compressive strength; p50 represents the crusher discharge block size; ρ represents ore density; P4 represents crusher no-load power; K4 represents crusher efficiency; SPI represents semi-autogenous grinding index; P80 represents 80% discharge particle size of semi-autogenous grinding; P5 represents semi-autogenous grinding no-load power; K5 represents semi-autogenous grinding efficiency, K5=-1.42x50+564.32.

[0023] Furthermore, the method for evaluating the uniaxial compressive strength UCS, elastic modulus E, hardness index HF and ore density influence index RDI of the ore body to be blasted includes:

[0024] Based on the mechanical analysis of the interaction between the drill bit and the ore, the relationship expressions between the drilling rig parameters and UCS and E are established through the energy balance method, the limit static equilibrium method, the empirical model method or the semi-empirical model method.

[0025] According to the working parameters of the drilling rig at different depths, the UCS and E at different depths are obtained;

[0026] The UCS and E at the average unit drilling depth are taken as the UCS and E of the ore body to be blasted;

[0027] Calculate the hardness index HF based on the obtained ore mechanical parameters UCS and E:

[0028]

[0029] According to the ore density ρ, the ore density impact index RDI is obtained:

[0030] RDI=25ρ-50 (9).

[0031] Furthermore, the relationship between the drilling rig parameters and the uniaxial compressive strength UCS and elastic modulus E are as follows:

[0032]

[0033] Where F is the drilling rig thrust; d is the penetration per revolution, d = v / N, v is the drilling speed, and N is the rotation speed.

[0034] Further, the method for evaluating the ore quality description index RMD, the joint plane spacing index JPS and the joint plane orientation index JPO of the ore body to be blasted includes:

[0035] The ore quality index FI is proposed to describe the degree of ore crushing. FI is expressed as:

[0036]

[0037] Among them, PV is the drilling speed variability index, TV is the torque variability index, and the calculation formula is as follows:

[0038]

[0039] in, is the average drilling speed, is the average torque, i is the data sample number, and n is the total number of drilling data samples.

[0040] According to the calculated FI value, the ore quality description index RMD is determined, which is expressed as:

[0041]

[0042] The sudden change of drilling parameters or their derived parameters is used as the signal for structural surface identification, and the average spacing S of the structural surfaces is calculated by the ratio of the drilling length to the number of identified structural surfaces. j :

[0043]

[0044] Among them, n j is the number of structural surfaces identified, L1 is the drilling length;

[0045] According to the average spacing S j , determine the joint spacing index JPS:

[0046]

[0047] The values ​​of the joint plane orientation index JPO are as follows: when the joint plane is horizontal, JPO=10; when the joint plane inclination is consistent with the working plane, JPO=20; when the joint plane strike is perpendicular to the working plane, JPO=30; when the joint plane inclination is opposite to the working plane, JPO=40.

[0048] Furthermore, the determination of the average blasting fragmentation when the comprehensive energy consumption is the lowest according to the relationship model between the comprehensive energy consumption and includes:

[0049] With x50 as the horizontal axis, Etotal Establish x50 and E for the vertical axis total The relationship curve of E total The x50 value corresponding to the lowest value is the average blasting block size x50* corresponding to the lowest comprehensive energy consumption.

[0050] Furthermore, according to x50*, the formula for calculating the required explosive consumption is as follows:

[0051]

[0052] Where q is the unit consumption of explosives; A is the ore coefficient; Q is the mass of explosives per hole; and E' is the power of explosives relative to TNT.

[0053] The beneficial effects brought about by the technical solution provided by the present invention include: the present invention realizes the rapid determination of the unit consumption of explosives when the comprehensive energy consumption of mining and selection is the lowest only through the drilling process. This method relies on the drilling process, can take into account the differences in ore properties in different regions, and determine the unit consumption of explosives in different regions, which is of great significance to energy conservation and consumption reduction in mines. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 It is a flow chart of a method for determining explosive unit consumption based on drilling rig operating parameters and optimal mining and selection comprehensive energy consumption provided by an embodiment of the present invention.

[0055] Figure 2 is the comprehensive energy consumption E provided by the embodiment of the present invention total Relationship curve with average blasting block size x50. DETAILED DESCRIPTION

[0056] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings.

[0057] Taking an open-pit mine as an example, a detailed description is given.

[0058] S1, drilling a single blast hole in the area to be blasted and obtaining the drilling parameters of the drilling rig;

[0059] Specifically, in this embodiment, the implementation process of the above S1 is as follows:

[0060] Let the drill rig drill holes at any location in the blasting area;

[0061] Pressure sensors are installed at the inlet and outlet ports of the drilling rig's feed cylinder to calculate the drilling rig thrust F through the pressure difference; pressure sensors are installed at the inlet and outlet ports of the rotary cylinder to calculate the drilling rig's torque T through the pressure difference; a pull-rope displacement sensor is installed on the drilling rig's power head to calculate the drilling speed v; a proximity switch is installed on the drill rod to calculate the rotation speed N.

[0062] S2, based on the obtained drilling parameters, evaluate the ore mechanical parameters and ore body structure parameters of the ore body to be blasted;

[0063] Specifically, in this embodiment, the above S2 implementation process is as follows:

[0064] The evaluated ore mechanical parameters include uniaxial compressive strength UCS, elastic modulus E, ore density influence index RDI and hardness index HF. In this embodiment, the formula for calculating uniaxial compressive strength UCS and elastic modulus E is as follows based on a semi-empirical method:

[0065]

[0066] Where, d is the penetration per revolution, d = v / N.

[0067] Substitute the drilling rig working parameters at different depths into equations (1)-(2) to obtain UCS and E at different depths;

[0068] The UCS and E at the average unit drilling depth are used as the ore mechanical parameters UCS and E of the ore body to be blasted. In this embodiment, the calculated UCS is 6.57 MPa and E is 1.58 GPa.

[0069] The hardness index HF is calculated as follows:

[0070]

[0071] In this embodiment, HF=0.527.

[0072] The ore density impact index RDI is calculated as follows:

[0073] RDI=25ρ-50 (4)

[0074] Where ρ is the density of the ore. In this embodiment, ρ is 2.3695 kg / m 3 , RDI is 9.2375.

[0075] The identified ore body structural parameters include the ore quality description index RMD, the joint plane spacing index JPS and the joint plane orientation index JPO. The specific calculation method is as follows:

[0076] The ore quality description index RMD is determined as follows:

[0077] First, determine the index FI that characterizes the degree of ore crushing. The lower the FI, the better the ore integrity, and the higher the FI, the more crushed the ore:

[0078]

[0079] Among them, PV is the drilling speed variability index, TV is the torque variability index, and the calculation formula is as follows:

[0080]

[0081] in, is the average drilling speed, is the average torque, i is the data sample number, and n is the total number of drilling data samples.

[0082] According to the calculated FI value, the ore quality description index RMD is determined, which is expressed as:

[0083]

[0084] In this embodiment, the RMD is 30.

[0085] The identification method of the joint spacing index JPS is as follows:

[0086] Identify structural surfaces through structural surface recognition algorithms:

[0087]

[0088] In the formula, σ 2 v is the drilling speed variance; 2 T is the torque variance. A sudden increase in the parameter Fracturing indicates the presence of a structural surface. The average spacing S of the structural surfaces is calculated based on the number of structural surfaces identified. j :

[0089]

[0090] Among them, n j is the number of structural surfaces identified, and L1 is the drilling length.

[0091] According to S j The value of the joint spacing index JPS is obtained:

[0092]

[0093] In this embodiment, JPS is 50.

[0094] The joint plane orientation index JPO is determined based on the geological survey data of the mining area and the inclination of the working face:

[0095] When the joint surface is horizontal, JPO=10; when the joint surface inclination is consistent with the working surface, JPO=20; when the joint surface strikes perpendicular to the working surface, JPO=30; when the joint surface inclination is opposite to the working surface, JPO=40. In this embodiment, JPO is 10.

[0096] S3, based on the obtained ore mechanical parameters and ore body structure parameters, establish the comprehensive energy consumption E of the ore body to be blasted total Relationship model with average blasting block size x50;

[0097] Specifically, in this embodiment, the above S3 implementation process is as follows:

[0098] According to the mechanical properties RDI, HF and structural characteristics RMD, JPS, JPO of the ore body, the ore coefficient A is calculated:

[0099] A=0.06(RMD+JPS+JPO+RDI+HF) (12)

[0100] In this embodiment, A is 6.

[0101] According to the working characteristics of mining machinery, ore coefficient A and ore crushing related theories, the energy consumption required for processing unit volume of ore in the processes of rock drilling, blasting, shoveling, transportation, crushing and grinding is deduced as E1, E2, E3, E4, E5 and E6 respectively:

[0102]

[0103] The meaning of each parameter in the formula and the values ​​in this embodiment are shown in Table 1. These parameters can be determined according to mine design, equipment conditions and technical parameters.

[0104] Table 1 Meaning and units of energy consumption mathematical model parameters

[0105]

[0106] Among them, the full bucket coefficient δ1 of the forklift, the full bucket coefficient δ2 of the truck, and the efficiency K5 of the semi-autogenous mill are all related to x50, which are expressed as follows in the embodiment:

[0107] δ1=-0.021x50+1.63 (19)

[0108] δ2=-7×10 -5 x50+0.86 (20)

[0109] K5=-1.42x50+564.32 (21)

[0110] Substituting δ1 into E3, δ2 into E4, and K5 into E6, we can get the comprehensive energy consumption mathematical model of mining and selection represented by x50. Sum these mathematical models to further get the comprehensive energy consumption E total Relationship model with average blasting block size x50:

[0111] E total=E1+E2+E3+E4+E5+E6 (22)

[0112] S4, based on comprehensive energy consumption E total The relationship model with x50 determines the average blasting block size x50* when the energy consumption is the lowest;

[0113] Specifically, in this embodiment, the implementation process of the above S4 is as follows:

[0114] like Figure 2 As shown, with x50 as the horizontal axis, E total Establish x50 and E for the vertical axis total The relationship curve of E total The corresponding x50 value at the lowest point is x50*=20.5cm.

[0115] S5, calculate the required explosive consumption according to x50*;

[0116] Specifically, in this embodiment, the implementation process of the above S5 is as follows:

[0117] According to the relevant theories of rock crushing, the relationship between x50 and explosive consumption q is established:

[0118]

[0119] Wherein, A is the ore coefficient, obtained by formula (12); Q is the mass of the single-hole explosive; E' is the power of the explosive relative to TNT; these parameters can be determined according to the mine blasting design parameters. In this embodiment, the values ​​of these parameters are shown in Table 1.

[0120] Substituting the x50* obtained by S4 into formula (23), the optimal explosive consumption for comprehensive energy consumption of mining and selection is 0.55kg / m 3 , the corresponding energy consumption is 24.79kWh / m 3 .

[0121] The present invention proposes a new method for determining unit consumption of explosives, which can obtain mechanical properties and structural characteristics of an ore body in a to-be-blasted area according to working parameters of a drill after drilling a blasthole; based on the obtained mechanical properties and structural characteristics of the ore body, a comprehensive index describing the ore body, namely, an ore coefficient A, is calculated; further, considering that the energy consumption of each mining and selection process is related to an average blasting block size x50, technical parameters of mining machinery and equipment, and the ore coefficient A, an energy consumption mathematical model of each mining and selection process represented by x50, technical parameters of mining machinery and equipment, and ore coefficient A is established; in the energy consumption mathematical model, the technical parameters of mining machinery and equipment are determined for a specific mine, therefore, the obtained ore coefficient A is substituted into the established energy consumption mathematical model, and the relationship between the energy consumption of the entire mining and selection process and x50 in the to-be-blasted area can be obtained; according to the relationship between the energy consumption of the entire mining and selection process and x50, the x50 when the energy consumption is the lowest is obtained, recorded as x50*; according to the obtained x50* and the ore coefficient A, the unit consumption q of explosives under the optimal comprehensive mining and selection energy consumption is obtained.

[0122] Finally, it should be noted that the above embodiments are intended to illustrate the technical solutions of the present invention and do not constitute any form of limitation on the present invention. Those skilled in the art should fully understand that it is completely feasible to modify the technical solutions described in the above embodiments or to perform equivalent replacements on any part or all of the technical features therein. These modifications or replacements, as long as they do not deviate from the scope of protection determined by the claims of the present invention, should be regarded as reasonable extensions of the present invention.

Claims

1. A method for determining explosive unit consumption based on drilling rig operating parameters and optimal mining and selection comprehensive energy consumption, characterized in that: include: Drill a single blasthole in the area to be blasted and obtain the drilling parameters of the drilling rig; According to the obtained drilling parameters, the ore mechanical parameters and ore body structure parameters of the ore body to be blasted are evaluated; According to the obtained ore mechanical parameters and ore body structure parameters, a relationship model between the comprehensive energy consumption of mining and dressing of the ore body to be blasted and the average blasting fragmentation is established; According to the relationship model between comprehensive energy consumption and average blasting fragmentation, the average blasting fragmentation when the comprehensive energy consumption is the lowest is determined; Calculate the required unit consumption of explosives based on the average blasting size when the comprehensive energy consumption is lowest.

2. The method for determining explosive unit consumption based on drilling rig operating parameters and optimal mining and selection comprehensive energy consumption according to claim 1, characterized in that: The method of drilling a single blasthole in the area to be blasted and obtaining the drilling parameters of the drilling rig includes: installing a sensor on the drilling rig to obtain the drilling parameters including the drilling rig thrust, drilling rig torque, drilling speed and rotation speed at different drilling depths during the drilling process.

3. The method for determining explosive unit consumption based on drilling rig operating parameters and optimal mining and selection comprehensive energy consumption according to claim 2, characterized in that: The ore mechanical parameters include uniaxial compressive strength UCS, elastic modulus E, hardness index HF and ore density influence index RDI; the ore body structural parameters include ore quality description index RMD, joint plane spacing index JPS and joint plane orientation index JPO.

4. The method for determining explosive unit consumption based on drilling rig operating parameters and optimal mining and selection comprehensive energy consumption according to claim 3, characterized in that: The relationship model between the comprehensive energy consumption of mining and dressing of the ore body to be blasted and the average blasting fragmentation is established based on the obtained ore mechanical parameters and ore body structure parameters, including: According to the obtained ore mechanical parameters and ore body structure parameters, calculate the ore coefficient A: A=0.06(RMD+JPS+JPO+RDI+HF) (1) According to the obtained ore mechanical parameters, ore body structure parameters and ore coefficients, mathematical models of energy consumption of average blasting block size x50 and rock drilling, blasting, shoveling, transportation, crushing and grinding are established respectively, and the parameters in the model are calibrated to obtain the energy consumption mathematical models E1, E2, E3, E4, E5 and E6 which are only related to x50; Establish the comprehensive energy consumption E of the ore body to be blasted from mining to grinding total The relationship model with the average blasting block size x50 is expressed as: E total =E1+E2+E3+E4+E5+E6.

5. The method for determining explosive unit consumption based on drilling rig operating parameters and optimal mining and selection comprehensive energy consumption according to claim 4, characterized in that: The mathematical models of average blasting fragmentation x50 and rock drilling energy consumption E1, blasting energy consumption E2, shoveling energy consumption E3, transportation energy consumption E4, crushing energy consumption E5, and grinding energy consumption E6 are: Among them, L1 represents the drilling depth; P1 represents the drilling rig power; K1 represents the drilling efficiency; Q represents the charge per hole; E' represents the power of the explosive relative to TNT; Q v represents the explosive heat; V1 represents the bucket volume; K2 represents the shovel cycle; P2 represents the shovel power; δ1 represents the shovel full bucket coefficient, δ1=-0.021x50+1.63; P3 represents the truck power; K3 represents the truck transportation cycle; V2 represents the truck volume; δ2 represents the truck full bucket coefficient, δ2=-7×10 -5 x50+0.86; k1 represents the ratio of dynamic compressive strength to static compressive strength; p50 represents the crusher discharge block size; ρ represents ore density; P4 represents crusher no-load power; K4 represents crusher efficiency; SPI represents semi-autogenous grinding index; P80 represents 80% discharge particle size of semi-autogenous grinding; P5 represents semi-autogenous grinding no-load power; K5 represents semi-autogenous grinding efficiency, K5=-1.42x50+564.

32.

6. The method for determining explosive unit consumption based on drilling rig operating parameters and optimal mining and selection comprehensive energy consumption according to claim 3, 4 or 5, characterized in that: The methods for evaluating the uniaxial compressive strength UCS, elastic modulus E, hardness index HF and ore density influence index RDI of the ore body to be blasted include: Establish the relationship between the drilling rig parameters and the uniaxial compressive strength UCS and elastic modulus E respectively; According to the working parameters of the drilling rig at different depths, the uniaxial compressive strength UCS and elastic modulus E at different depths are obtained; The uniaxial compressive strength UCS and elastic modulus E at the average unit drilling depth are respectively used as the uniaxial compressive strength UCS and elastic modulus E of the ore body to be blasted; The hardness index HF is calculated based on the obtained uniaxial compressive strength UCS and elastic modulus E: According to the ore density, the ore density impact index RDI is obtained: RDI=25ρ-50 (9) Where ρ is the density of the ore.

7. The method for determining explosive unit consumption based on drilling rig operating parameters and optimal mining and selection comprehensive energy consumption according to claim 6, characterized in that: The relationship between the drilling rig parameters and the uniaxial compressive strength UCS and elastic modulus E are as follows: Where F is the drilling rig thrust; d is the penetration per revolution, d = v / N, v is the drilling speed, and N is the rotation speed.

8. The method for determining explosive unit consumption based on drilling rig operating parameters and optimal mining and selection comprehensive energy consumption according to claim 3, 4 or 5, characterized in that: The methods for evaluating the ore quality description index RMD, the joint plane spacing index JPS and the joint plane orientation index JPO of the ore body to be blasted include: The ore quality index FI is proposed to describe the degree of ore crushing. FI is expressed as: Among them, PV is the drilling speed variability index, TV is the torque variability index, and the calculation formula is as follows: in, is the average drilling speed, is the average torque, i is the data sample number, and n is the total number of drilling data samples; According to the calculated FI value, the ore quality description index RMD is determined, which is expressed as: The sudden change of drilling parameters or their derived parameters is used as the signal for structural surface identification, and the average spacing S of the structural surfaces is calculated by the ratio of the drilling length to the number of identified structural surfaces. j : Among them, n j is the number of structural surfaces identified, L1 is the drilling length; According to the average spacing S j , determine the joint spacing index JPS: The method for taking the joint plane orientation index JPO is as follows: when the joint plane is horizontal, JPO=10; when the joint plane inclination is consistent with the working plane, JPO=20; when the joint plane strike is perpendicular to the working plane, JPO=30; when the joint plane inclination is opposite to the working plane, JPO=40.

9. The method for determining explosive unit consumption based on drilling rig operating parameters and optimal mining and selection comprehensive energy consumption according to claim 1, characterized in that: According to the relationship model between comprehensive energy consumption and average blasting fragmentation, determining the average blasting fragmentation when the comprehensive energy consumption is the lowest includes: A relationship curve between the average blasting size and the comprehensive energy consumption is established with the average blasting size as the horizontal axis and the comprehensive energy consumption as the vertical axis to find the value of the average blasting size corresponding to the lowest comprehensive energy consumption.

10. The method for determining explosive unit consumption based on drilling rig operating parameters and optimal mining and selection comprehensive energy consumption according to claim 1, characterized in that: The formula for calculating the required explosive unit consumption based on the average blasting size when the comprehensive energy consumption is the lowest is as follows: Where q is the unit consumption of explosives; A is the ore coefficient; Q is the charge per hole; and E' is the power of explosives relative to TNT.

Images