Theoretical stone block rate obtaining method of facing stone, storage medium and computer equipment

Abstract

The invention provides a theoretical stone block rate obtaining method of facing stone, a storage medium and a computer equipment product. The method comprises the following steps: acquiring a target mining section, determining a joint statistical surface, a joint surface and a statistical origin of the target mining section, determining a joint surface point set of the joint surface according to the statistical origin, determining a joint actual measurement line where the joint surface intersects with an actual measurement surface and a joint inference line intersecting with an inference surface according to the joint surface point set, and determining a joint inference point of the joint surface; acquiring a joint projection line of the joint inference line on the actual measurement surface; determining a plurality of structural surfaces according to the projection line and the joint actual measurement line, and determining a plurality of mining steps according to each structural surface; obtaining a plurality of preset quarry stone specifications, and cutting each mining step according to each preset quarry stone specification to obtain a plurality of quarry stone cutting strategies; and calculating the quarry stone rate of each quarry stone cloth cutting strategy, and taking the maximum quarry stone rate as the theoretical quarry stone rate. According to the technical scheme, the accuracy and reliability of obtaining the theoretical raw material rate can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of facing stone cutting, and in particular to a method for obtaining a theoretical waste material rate of facing stones, a storage medium and a computer device. Background Art

[0002] Compared with artificial products, facing stones have always been favored by the public for their advantages such as beautiful appearance, strong durability, superior waterproof performance, high environmental protection and convenient maintenance. The waste material rate is an important parameter for calculating the amount of facing stone ore resources, evaluating economic benefits and industrial value. Its statistical work has always been a difficult point for exploration units to evaluate facing stones and a pain point for mining companies. The size of the waste material rate and the reference value of the measurement have a significant impact on the production efficiency of the mine.

[0003] There is no unified and effective calculation method for waste material rate. Currently, there are three main types: production waste material rate, trial mining waste material rate, and theoretical waste material rate. The production waste material rate can truly reflect the actual situation of the ore body, with high accuracy and high reference value for evaluation. However, the acquisition cost of measurement data is high and the construction period is long, which is not suitable for the actual situation. Although the acquisition cycle of the trial mining waste material rate is short, it is necessary to measure and test mining in many parts of the mine according to the exploration rules, which is time-consuming, labor-intensive, and costly. The theoretical waste material rate is calculated after laying out the theoretical waste material on the sketch map of joints and fissures. It is the corrected body diagram waste material rate. The correction coefficient is the ratio of the trial mining waste material rate to the trial mining theoretical waste material rate. Therefore, the improvement of the theoretical waste material rate has great reference significance for the value assessment of mines and industrial production.

[0004] According to the definition of theoretical waste material rate in DZ / T0291-2020 "Specifications for Geological Exploration of Facing Stone Mineral Resources", the superposition diagram method is generally used. Its process is to superimpose two parallel sections located in the statistical surface according to the exposure map of the measuring point, and then cut the waste materials and intercept the flow materials in the superimposed plane map, and calculate the waste material rate and total waste material rate of waste materials of different types of block sizes by counting the volumes of waste materials of different categories. The existing superposition methods are all based on theoretical mathematical calculations and then superimposed, which is an important process node in the process of determining the theoretical waste material rate. Therefore, optimizing and improving it is the key to improving the theoretical waste material rate.

[0005] The method of obtaining the theoretical waste material rate in the existing technology only considers the distribution and angle of the cutting zone on the vertical section diagram of the joint determination surface, lacks analysis in the section division, and is inconsistent with the actual mining situation of the mine. Obviously, there is a big gap between the theoretical waste material rate and the production waste material rate, and its reference value is greatly reduced, and its guiding role in the actual production of the mine is weak. Summary of the invention

[0006] The purpose of the present invention is to provide a method for obtaining the theoretical waste material rate of facing stones, a storage medium and a computer device, so as to improve the accuracy and reliability of obtaining the theoretical waste material rate of facing stones.

[0007] Specifically, in a first aspect, the present invention provides a method for obtaining a theoretical waste material rate of a facing stone, comprising:

[0008] Acquire a target mining section, and determine a joint statistical surface and a joint surface of the target mining section;

[0009] Obtaining an intersection line between the joint statistical surface and the joint surface, determining a statistical origin according to the intersection line, determining a joint surface point set of the joint surface according to the statistical origin, and determining a normal vector of the joint surface according to the joint surface point set;

[0010] Determine the measured surface and the inferred surface of the target mining section, determine the mining direction according to the normal vector, and determine the measured joint line where the joint surface intersects the measured surface, and the inferred joint line that intersects the inferred surface according to the mining direction and the joint surface point set, and obtain the joint projection line of the inferred joint line on the measured surface;

[0011] Determine a plurality of structural planes according to the projection lines and the measured joint lines, and determine a plurality of mining steps according to each of the structural planes;

[0012] Acquire multiple preset rough material specifications, and arrange the cutting of each mining step according to each preset rough material specification to obtain multiple rough material arrangement strategies;

[0013] The waste material rates of each of the waste material cutting strategies are calculated, and the maximum waste material rate therein is taken as the theoretical waste material rate.

[0014] Furthermore, the step of arranging each mining step according to each preset rough material specification to obtain a plurality of rough material arrangement strategies includes:

[0015] Determining a rough material unit size according to each of the preset rough material specifications, and dividing each of the mining steps into a plurality of rough material units according to the rough material unit size;

[0016] Each of the mining steps is arranged according to each of the rough material units and each of the preset rough material specifications to obtain each of the rough material arrangement strategies.

[0017] Furthermore, the step of arranging each mining step according to each preset rough material specification to obtain a plurality of rough material arrangement strategies includes:

[0018] The cutting points of each mining step are determined according to each preset rough material specification, and each cutting point is organized onto a preset model of the target mining section using a map overlay algorithm to obtain a plurality of rough material cutting strategies.

[0019] Furthermore, after the step of taking the maximum waste material rate as the theoretical waste material rate, the method further comprises:

[0020] Determining whether the number of waste material arrangement strategies corresponding to the theoretical waste material rate is multiple;

[0021] If so, according to the principle of large material priority, the optimal cutting strategy is selected from the cutting strategies for the rough materials corresponding to the theoretical rough material rate.

[0022] Furthermore, after the step of taking the maximum waste material rate as the theoretical waste material rate, the method further comprises:

[0023] A preset waste material rate correction coefficient is obtained, and the preset waste material rate correction coefficient is used to correct the theoretical waste material rate.

[0024] Furthermore, the step of obtaining a preset waste material rate correction coefficient includes:

[0025] Conducting calibration test on the reference mining section to obtain theoretical waste material rate and trial waste material rate of the reference mining section;

[0026] The preset waste material rate correction coefficient is calculated according to the theoretical waste material rate of the reference mining section and the trial mining waste material rate.

[0027] Furthermore, the step of obtaining a preset waste material rate correction coefficient includes:

[0028] Conducting calibration tests on a plurality of reference mining sections to obtain theoretical waste material rates and trial waste material rates of each reference mining section;

[0029] The average theoretical waste material rate and the average trial mining waste material rate of each reference mining section are calculated, and the preset waste material rate correction coefficient is obtained according to the average theoretical waste material rate and the average trial mining waste material rate.

[0030] Furthermore, the step of obtaining a plurality of preset rough material specifications includes:

[0031] Obtain the specifications of the preset large blocks, the specifications of the preset medium blocks, and the specifications of the preset small blocks.

[0032] In a second aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of any of the above-mentioned methods for obtaining a theoretical waste material rate.

[0033] In a third aspect, the present invention further provides a computer device, comprising a memory, a processor and a computer program stored in the memory, wherein the processor executes the steps of the method for obtaining the theoretical waste material rate as described in any one of the above items of the computer program.

[0034] The technical solution of the present invention introduces the Nefo polyhedron theory in the process of obtaining the theoretical waste material rate of the target mining section, determines the joint surface point set of the joint surface according to the statistical origin, and then establishes the three-dimensional relationship among the joint statistical surface, waste material and joint surface of the target mining section, truly reflects the spatial relationship between the three, and thus improves the accuracy and reliability of obtaining the theoretical waste material rate.

[0035] Based on the following detailed description of specific embodiments of the present invention in conjunction with the accompanying drawings, those skilled in the art will become more aware of the above and other objects, advantages and features of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Hereinafter, some specific embodiments of the present invention will be described in detail in an exemplary and non-limiting manner with reference to the accompanying drawings. The same reference numerals in the accompanying drawings indicate the same or similar components or parts. It should be understood by those skilled in the art that these drawings are not necessarily drawn to scale. In the accompanying drawings:

[0037] Figure 1 Schematic diagram of rough material according to the related technology of the present invention;

[0038] Figure 2 It is a schematic diagram of the relationship between the joint surface and the joint statistical sketch surface when the joint statistical surface according to the related technology of the present invention is a vertical surface;

[0039] Figure 3 It is a schematic diagram of the overlapping of rough material elements according to the related technology of the present invention;

[0040] Figure 4 is a schematic flow chart of a method for obtaining a theoretical waste material rate of facing stone according to an embodiment of the present invention;

[0041] Figure 5 is a schematic diagram of the relationship between a joint statistical surface and a joint surface according to an embodiment of the present invention;

[0042] Figure 6 is a schematic diagram of element superposition of a target mining section according to an embodiment of the present invention;

[0043] Figure 7 is a schematic flow chart of obtaining a rough material cutting strategy according to an embodiment of the present invention;

[0044] Figure 8 is a schematic flow chart of a method for obtaining a theoretical waste material rate of facing stone according to another embodiment of the present invention;

[0045] Fig. 9 is a schematic diagram of a computer-readable storage medium according to an embodiment of the present invention; and

[0046] Fig.10 is a schematic diagram of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0047] like Figure 1 As shown, the rough material 10 refers to a rectangular hexahedron with a certain thickness. A certain mining length is cut in the blank area of ​​the surveyed mining section. Two or more mining sections in a mining belt constitute a mining section, and two or more mining belts in a mining section also constitute a mining section. The rough material is divided into mining belts or mining sections in the mining section, and is cut in sequence between adjacent structural surfaces according to a set order.

[0048] The method for obtaining the theoretical waste material rate of a mining section in the prior art is to first determine the mining direction of the mining section based on the joint surface of the mining section, then determine the structural surface in the mining direction, and obtain the layout strategy of the mining section based on the structural surface.

[0049] The method of determining the mining direction of the mining section according to the joint surface of the mining section is as follows: Figure 2 As shown, O is the origin of the three-dimensional coordinate system, OO' is the perpendicular line from the origin O to the intersection of the joint surface 22 and the reference ground, the X-axis, Y-axis and Z-axis are the three coordinate axes in the three-dimensional coordinate system, the plane determined by the X-axis and the Y-axis is the reference ground, and the Z-axis is the horizontal height direction. After determining the joint statistical surface of the mining section 10, the joint statistical surface will be set to be perpendicular to the reference ground in the three-dimensional coordinate system. With the help of the inclination principle, the inclination angle of the joint surface 22 can be set to δ, the apparent inclination angle of the joint statistical sketch surface 21 is κ, and the angle between the joint surface and the joint statistical sketch surface is ρ, then:

[0050] cosρ=sinθ×sinη

[0051] Among them, θ is the angle between the joint surface dip and the joint surface orientation, η = |δ-κ|, when δ is greater than 180 degrees, κ takes a value greater than 180 degrees, and when δ is less than 180 degrees, κ takes a value less than 180 degrees. It can be deduced from this:

[0052]

[0053] It can be seen from this that the length m of the control limit line of the rough material joint is

[0054] m=L×cosρ

[0055] Among them, L is the excavation width of the rough material on the inner side of the joint statistical sketch surface in the vertical direction during the operation of the commonly used track circular saw for facing stone. When δ-κ>0°, the mining direction of the mining section is the clockwise direction of the joint line with a limit distance of m; when δ-κ<0°, the mining direction of the mining section is the counterclockwise direction of the joint line with a limit distance of m; when δ-κ=0°, the limit distance m=0, and the mining section is in the unaffected range of the joint belt, which refers to the area outside the range enclosed by the measured line and the projection line.

[0056] In the prior art, the method for determining the structural surface in the mining direction includes: setting the mining width L to be 4 times the minimum side length of the stone block, and generally the platform height is equal to the mining width.

[0057] like Figure 3 As shown, the intersection line of the joint surface 22 with the top surface 30 of the mining section is AB, and the intersection line with the bottom surface of the mining section is A`B`, wherein the bottom surface of the mining section is a plane that is separated from the top surface 30 by a rough material thickness d.

[0058] In the process of determining the structural surface, it is necessary to first obtain the intersection line AA' of the joint surface 22 and the measured surface 31, and the intersection line BB' with the inferred surface, where the measured surface 31 is the vertical section of the mining section, and the inferred surface 32 is the section between the mining section and the measured surface 31, which is d away from the rough material thickness. Then obtain the projection line DD' of the intersection line CC' on the measured line, and make the distance between the intersection line OO' and the projection line DD' L. The structural surface is represented by a straight line on the horizontal section within a mining section, that is, Figure 3 The first structural surface 41, the second structural surface 42, the third structural surface 43, and the fourth structural surface determined by the intersection line CC' and the intersection line BB', and then the part between each adjacent structural surface is used as a mining step, and each mining step is cut.

[0059] From the above, it can be seen that the above method only considers the distribution and angle of the shear zone η on the vertical section diagram of the joint determination surface, lacks analysis in the section division, and is inconsistent with the actual mining situation of the mine. As a result, the theoretical waste rate is far from the production waste rate, and its reference value is greatly reduced, and its guiding role in the actual production of the mine is weak.

[0060] Refer to the following Figures 4 to 10To describe a method for obtaining the theoretical waste material rate of a facing stone material, a storage medium, and a computer device according to an embodiment of the present invention. In the description of this embodiment, it should be understood that the terms "first" and "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features, that is, include one or more of the features. In the description of the present invention, the meaning of "multiple" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined. When a feature "includes or contains" one or some of the features it covers, unless otherwise specifically described, this indicates that other features are not excluded and may further include other features.

[0061] See also Figure 4 , Figure 4 What is shown is a schematic flow chart of a method for obtaining a theoretical waste material rate of facing stone, a storage medium and a computer device according to an embodiment of the present invention. The method is based on the current mining method with the highest mining efficiency and the lowest mining cost, which is the orbital circular saw sawing mining method. The waste material cutting strategy of the target mining section is obtained according to the joint surface to improve the accuracy of the theoretical waste material rate of the facing stone waste material produced in the target mining section.

[0062] like Figure 4 As shown, the method for obtaining the theoretical waste material rate of this embodiment includes the following steps:

[0063] Step S101: obtaining a target mining section, and determining the joint statistical surface and joint surface of the target mining section;

[0064] Step S102: obtaining the intersection line between the joint surface of the target mining section and the joint statistical surface, and determining the statistical origin according to the intersection line, and determining the joint surface point set of the joint surface according to the statistical origin;

[0065] Step S103: determining the measured surface and the inferred surface of the target mining section, determining the normal vector of the joint surface according to the joint surface point set, determining the mining direction according to the normal vector, and determining the joint inferred line of the joint surface on the inferred surface and the joint measured line of the joint surface on the measured surface according to the mining direction and the joint surface point set;

[0066] Step S104: obtaining joint projection lines of joint inference lines on the measured surface, determining multiple structural surfaces according to the projection lines of joint lines on the measured surface and the joint measured lines, and determining multiple mining steps according to each structural surface;

[0067] Step S105: obtaining a plurality of preset rough material specifications, and arranging and cutting each mining step according to each preset rough material specification, so as to obtain a plurality of rough material arrangement strategies;

[0068] Step S106: Calculate the waste material rate of each waste material cutting strategy, and use the maximum waste material rate as the theoretical waste material rate of the target mining section.

[0069] In the above step S101, the length, height and width of the target mining section can be set according to the mining requirements of the rough material, and the position and direction of the joint surface in the target mining section can be obtained, and then the target mining section can be set in a three-dimensional coordinate system in a way that the joint statistical surface is perpendicular to the reference ground.

[0070] In the above step S102, the intersection line between the joint statistical surface and the joint surface can be determined in the three-dimensional coordinate system, and then one end point of the intersection line is used as the statistical origin.

[0071] by Figure 5 Taking the application scenario shown as an example, the target mining section 100 is a rectangular stone section, and the height, width and length of the stone section can be set according to the requirements of the facing stone. The intersection line of the joint surface 101 of the target mining section 10 and the joint statistical surface 102 is PP', and the two ends of the intersection line are point P and point P', so point P or point P' can be used as the statistical origin.

[0072] In this embodiment, the joint surface is regarded as a polyhedron. According to the Naif polyhedron theory, a polyhedron is a point set generated by performing set intersection and complement operations on a finite number of open half-spaces. Therefore, the statistical origin can be used as a reference point and the reference coordinates of each point on the joint surface and the statistical origin can be calculated to obtain the joint surface point set of the joint surface.

[0073] In the above step S103, the normal vector of the joint surface can be determined according to the joint surface point set, and the normal vector is used as the mining direction of the target mining section. Since the normal vector is a direction perpendicular to the joint surface, the inclined direction of the joint surface can be determined according to the normal vector, and the inclined direction is used as the mining direction of the target mining section. Then, the intersection lines between the joint surface and the measured surface and the inferred surface are determined, and the mining steps of the target mining section are obtained according to each intersection line and the mining direction.

[0074] In this embodiment, after determining the measured surface and inferred surface of the target mining section, the measured surface point set and the inferred surface point set can be constructed according to the Nefo polyhedron theory, and then the intersection of the joint surface point set and the measured surface point set can be calculated to obtain the point set of the measured joint lines where the joint surface intersects the measured surface, and the intersection of the joint surface point set and the inferred surface point set can be calculated to obtain the point set of the joint inferred lines between the joint surface and the inferred surface.

[0075] by Figure 6Taking the application scenario shown as an example, which includes the top surface 200 of the target mining section, assuming that the measured joint line DD` is obtained by the intersection of the joint surface 101 and the measured surface 201, and the inferred joint line EE` is formed by the intersection of the joint surface 101 and the inferred surface 202, the joint projection line FF` of the inferred joint line EE` on the measured surface 201 can be obtained. In this embodiment, the projection points of each point in the point set of the joint inferred line EE` on the measured surface are obtained, and the point set composed of each projection point is the point set of the joint projection line FF`.

[0076] In the above step S104, the distance L between the measured joint line DD' and the projection line FF' can be calculated first, and then the distance can be divided equally, and multiple structural lines parallel to the measured joint line DD' and the projection line FF' can be obtained at each equal division, and finally a structural surface perpendicular to the measured surface can be made on each structural line. After obtaining each structural surface, the part between adjacent structural surfaces in the mining direction can be used as a mining step, the part between the projection surface and its adjacent structural surface in the mining direction can be used as a mining step, and the part between the plane determined by the measured joint line and its adjacent structural surface in the mining direction can be used as a mining step.

[0077] For example, the distance L can be equally divided into five parts, so that construction lines can be set at L / 4, 2L / 4, and 3L / 4 respectively, and construction surfaces perpendicular to the measured surface 201 can be made at the construction lines. Then, the mining sections between adjacent construction surfaces can be used as mining steps, thereby obtaining multiple mining steps.

[0078] In the above step S105, the user can determine a plurality of preset block specifications according to the size of the facing stone, for example, the preset specifications of large blocks, the preset specifications of medium blocks and the preset specifications of small blocks, wherein the preset specifications of large blocks include the preset length, width and height of large blocks, the preset specifications of medium blocks include the preset length, width and height of medium blocks, and the preset specifications of small blocks include the preset length, width and height of small blocks. In other embodiments, other preset block specifications can be set according to requirements.

[0079] In this embodiment, each mining step can be cut according to each preset rough material specification. Take one mining step as an example. Assume that the length of the mining step is l 0 , the length of the large block is preset to be l 1 , the length of the medium-sized block is preset to be l 2 , the preset length of the small block is l 3 , if in one of the rough material layout strategies, the number of preset large rough materials in the mining step is m 1 , the number of medium-sized blocks is preset to m 2 、Preset the number of small materials m 3 , and the number m1 、Quantity m 2 and quantity m 3 The following constraints are met:

[0080] m 1 × 1 ≤l 0

[0081] m 2 × 2 ≤l 0 -m 1 × 1

[0082] m 3 × 3 ≤l 0 -m 1 × 1 -m 2 × 2 <(m 3 +1)×l 3

[0083] According to the above constraints, multiple cutting methods for each mining step are obtained in turn, and then the cutting methods for each mining step are combined to obtain multiple rough material cutting strategies.

[0084] In the above step S106, taking one of the rough material cutting strategies as an example, the method for calculating the rough material rate of the rough material cutting strategy includes: assuming that the number of preset rough material specifications is N, wherein the rough material volume of the i-th preset rough material specification is V i , the number of blocks of the i-th preset block specification in this block cutting strategy is S i , then the rough material rate H of the rough material cutting strategy is:

[0085]

[0086] According to the above content, it can be seen that the technical solution of this embodiment introduces the Nefo polyhedron theory in the process of obtaining the theoretical waste material rate of the target mining section, which can establish the three-dimensional relationship between the joint statistical surface, waste materials and joint surfaces of the target mining section, truly reflect the spatial relationship between the three, and thus improve the accuracy and reliability of obtaining the theoretical waste material rate.

[0087] In some embodiments of the present invention, the method of arranging each mining step according to each preset rough material specification to obtain multiple rough material arrangement strategies in step S105 is as follows: Figure 7 As shown, the following steps are included:

[0088] Step S201: determining the size of a unit rough material according to each preset rough material specification, and obtaining the number of rough material units corresponding to each preset rough material specification;

[0089] Step S202: Divide each mining step into a plurality of rough material units according to the size of the rough material units, and combine each rough material unit in different ways according to the number of rough material units corresponding to each preset rough material specification to obtain a plurality of rough material arrangement strategies.

[0090] In the above step S201, since the width and height of the target mining section are consistent with the width and height of each preset rough material specification, in this embodiment, the width and height of each preset rough material specification can be used as the width and height of the rough material unit respectively, and the common divisor of the length of each preset rough material specification can be used as the length of the rough material unit.

[0091] For example, if the preset length, width and height of large blocks are 2.4 meters, 1.5 meters and 1.5 meters respectively, the preset length, width and height of medium blocks are 1.5 meters, 1.5 meters and 1.5 meters respectively, and the preset length, width and height of small blocks are 0.6 meters, 1.5 meters and 1.5 meters respectively, then a common divisor of 2.4, 1.5 and 0.6 can be obtained, such as 0.3, and the length of the unit block is set to 0.3 meters, and the width and height of the unit block are set to 1.5 meters and 1.5 meters respectively. Then, eight consecutive unit blocks can be regarded as a large block, five consecutive unit blocks as a medium block, and two consecutive unit blocks as a small block.

[0092] In the above step S202, the rough block units in each mining step can be combined according to the above constraint conditions to obtain the layout of the mining step. For example, if the length of a mining step is 2 meters, the mining step can be laid out into a medium-sized rough block, or it can be laid out into three small rough blocks.

[0093] Through the technical solution of this embodiment, the layout of each mining step is determined by the rough material unit to obtain multiple rough material layout strategies for the target mining section, which can ensure the comprehensiveness of the rough material layout strategy and thus ensure the reliability of obtaining the theoretical rough material rate of the target mining section.

[0094] In some embodiments of the present invention, Figure 8 As shown, after obtaining the theoretical waste material rate of the target mining section in step S106, the following steps are also included:

[0095] Step S107: determining whether there are multiple waste material cutting strategies corresponding to the theoretical waste material rate;

[0096] If yes, execute step S108; if no, execute step S109;

[0097] Step S108: According to the principle of large material priority, the optimal cutting strategy is selected from multiple cutting strategies corresponding to the theoretical rough material rate;

[0098] Step S109: taking the rough material cutting strategy corresponding to the theoretical rough material rate as the optimal cutting strategy.

[0099] In this embodiment, each preset rough material specification can be sorted according to the rough material volume, wherein the larger the rough material volume, the higher the corresponding preset rough material specification is sorted, that is, the rough material volume of the first preset rough material specification is greater than the rough material volume of the second preset rough material specification, the rough material volume of the second preset rough material specification is greater than the rough material volume of the third preset rough material specification, and so on, thereby obtaining a preset rough material specification sequence.

[0100] The method of selecting the optimal cutting strategy from multiple cutting strategies corresponding to the theoretical rough material rate according to the principle of large material priority in this implementation includes:

[0101] Traverse the rough material quantities of each preset rough material specification of each rough material cutting strategy corresponding to the theoretical rough material rate, and when traversing to the rough material proportion of the i-th preset rough material specification, perform the following steps:

[0102] Obtaining the maximum proportion of the waste material of the i-th preset waste material specification in each waste material cutting strategy corresponding to the theoretical waste material rate and determining whether there are multiple waste material cutting strategies corresponding to the maximum proportion;

[0103] If not, the rough material cutting strategy corresponding to the largest proportion is taken as the optimal cutting strategy;

[0104] If there are multiple ones, delete the other rough material cutting strategies, and then traverse the i+1th preset rough material specifications of the remaining rough material cutting strategies.

[0105] Through this embodiment, the principle of large material priority can be adopted to select the optimal waste material distribution strategy from the waste material distribution strategies corresponding to the theoretical waste material rate, so that the large waste material rate generated by the optimal distribution strategy is the highest, thereby improving the work efficiency of mining in the target mining section.

[0106] In some embodiments of the present invention, the method of obtaining a plurality of rough material cutting strategies according to each preset rough material specification and each intersection line in step S103 includes:

[0107] The positions of the cutting points are determined according to the constraints, and the map overlay algorithm is used to load each cutting point onto the simulation model of the target mining section to obtain multiple rough material cutting strategies.

[0108] Through this embodiment

[0109] In some embodiments of the present invention, after obtaining the theoretical waste material rate of the target mining section in the above step S104, the method further includes: obtaining a preset waste material correction coefficient, and using the waste material correction coefficient to correct the theoretical waste material rate.

[0110] In this embodiment, assuming that the preset waste material rate correction coefficient is μ, the theoretical waste material rate is H, and the corrected theoretical waste material rate is H', then

[0111] H'=μ×H

[0112] Through this embodiment, the preset waste material rate correction coefficient can be used to correct the theoretical waste material rate of the target mining section, thereby improving the accuracy of the obtained theoretical waste material rate of the target mining section.

[0113] In some embodiments of the present invention, a method for obtaining a preset blank correction coefficient comprises the following steps:

[0114] A reference mining section is obtained and calibrated to obtain a theoretical waste material rate and a trial waste material rate of the reference mining section, and a preset waste material correction coefficient is obtained based on the theoretical waste material rate and the trial waste material rate.

[0115] In this embodiment, it is assumed that the theoretical waste material rate of the reference mining section is H 0 The trial mining waste material rate is H' 0 , then the preset waste material rate correction coefficient μ is:

[0116] μ=H′ 0 / H

[0117] Through this embodiment, by calibrating the reference mining section to obtain the preset waste material correction coefficient, the accuracy of the preset waste material correction coefficient can be improved, thereby further improving the accuracy of the theoretical waste material rate of the obtained target mining section.

[0118] In some other embodiments of the present invention, a method for obtaining a preset blank correction coefficient includes the following steps:

[0119] Acquire multiple reference mining sections, and calibrate each reference mining section to obtain a theoretical waste material rate and a trial waste material rate of each reference mining section;

[0120] The average theoretical waste material rate and the average trial mining waste material rate of each reference mining section are calculated, and the preset waste material correction coefficient is obtained based on the average theoretical waste material rate and the average trial mining waste material rate.

[0121] In this embodiment, it is assumed that there are M reference mining sections, and the theoretical waste material rate of the i-th reference mining section is H i The trial mining waste material rate is H' i , then the average theoretical waste rate of each reference mining section is and average trial mining waste rate They are

[0122]

[0123] The preset rough material correction coefficient ρ is

[0124]

[0125] In this embodiment, the preset rough material correction coefficient is calibrated by using a plurality of reference mining sections, so that the accuracy of the preset rough material correction coefficient can be further improved.

[0126] The superiority of the technical solution of the present invention is verified by experiments below.

[0127] In this experimental example, seven mining sections are used to verify the technical effect of the technical solution of the present invention. The rough material platforms of the seven mining sections are numbered Ht1, Ht2, Ht3, Ht4, Ht5, Ht6 and Ht7 respectively. The platform volume of each rough material platform and the rough material volume, theoretical rough material rate and average theoretical rough material rate obtained by the prior art are shown in Table 1. The rough material volume, theoretical rough material rate and average theoretical rough material rate obtained by the technical solution of the present invention are shown in Table 2. By comparing Table 1 and Table 2, it can be seen that the average theoretical rough material rate obtained by the technical solution of the present invention is 33.11, which is greater than the average theoretical rough material rate of 30.77 obtained by the prior art. Therefore, the technical solution of the present invention can improve the theoretical rough material rate of the mining section.

[0128]

[0129] Table 1

[0130]

[0131]

[0132] Table 2

[0133] The flow chart provided by the present embodiment is not intended to indicate that the operation of the method will be performed in any particular order, or that all operations of the method are included in all every case. In addition, each of the above methods may include additional operations. Within the scope of the technical thinking provided by the present embodiment method, additional changes may be made to the above method.

[0134] It should be understood that in some embodiments, each part can be implemented by hardware, software, firmware or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system.

[0135] This embodiment also provides a computer-readable storage medium 300 and a computer device 400. Fig. 9 is a schematic diagram of a computer-readable storage medium 300 according to an embodiment of the present invention, Fig.103 is a schematic diagram of a computer device 400 according to an embodiment of the present invention. The computer readable storage medium 300 stores the above-mentioned computer program 310, and when the computer program 310 is executed by the processor 320, the steps of the method for obtaining the theoretical waste material rate of facing stone in any of the above-mentioned embodiments are implemented. The computer device 400 may include a memory 410, a processor 320, and a computer program 310 stored in the memory 410 and running on the processor 320.

[0136] The computer program 310 for performing the operation of the present invention may be an assembly instruction, an instruction set architecture (ISA) instruction, a machine instruction, a machine-dependent instruction, a microcode, a firmware instruction, a state setting data, a configuration data of an integrated circuit, or a source code or an object code written in any combination of one or more programming languages ​​and a procedural programming language. The computer program 310 may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the latter case, the remote computer may be connected to the user's computer via any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet Service Provider). In some embodiments, to perform various aspects of the present invention, electronic circuits including, for example, programmable logic circuits, Field-Programmable Gate Arrays (FPGAs), or Programmable Logic Arrays (PLAs) may execute computer-readable program instructions by utilizing state information of the computer-readable program instructions to personalize the electronic circuits.

[0137] For the purposes of the description of this embodiment, the computer-readable storage medium 300 is a tangible device capable of retaining and storing the computer program 310, which can be any device that can contain, store, communicate, propagate, or use the computer program 310 for an instruction execution system, device, or apparatus or in conjunction with such instruction execution system, device, or apparatus. More specific examples (a non-exhaustive list) of the computer-readable storage medium 300 include the following: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, and any suitable combination of the foregoing.

[0138] Computer device 400 can be, for example, a server, a desktop computer, a notebook computer, a tablet computer, or a smart phone. In some examples, computer device 400 can be a cloud computing node. Computer device 400 can be described in the general context of computer system executable instructions (such as program modules) executed by a computer system. Typically, a program module can include routines, programs, target programs, components, logic, data structures, etc. that perform specific tasks or implement specific abstract data types. Computer device 400 can be implemented in a distributed cloud computing environment where remote processing devices linked through a communication network perform tasks. In a distributed cloud computing environment, program modules can be located on a local or remote computing system storage medium including a storage device.

[0139] The computer device 400 may include a processor 320 adapted to execute stored instructions, and a memory 410 providing temporary storage space for the operation of the instructions during operation. The processor 320 may be a single-core processor, a multi-core processor, a computing cluster, or any number of other configurations. The memory 410 may include a random access memory (RAM), a read-only memory, a flash memory, or any other suitable storage system.

[0140] The computer device 400 may also include a network adapter / interface and an input / output (I / O) interface. The I / O interface allows input and output of data with external devices that may be connected to the computer device. The network adapter / interface may provide communication between the computer device and a network, which is typically shown as a communication network.

[0141] At this point, those skilled in the art should recognize that, although multiple exemplary embodiments of the present invention have been shown and described in detail herein, many other variations or modifications that conform to the principles of the present invention can still be directly determined or derived based on the content disclosed in the present invention without departing from the spirit and scope of the present invention. Therefore, the scope of the present invention should be understood and recognized as covering all these other variations or modifications.

Claims

1. A method for obtaining the theoretical waste material rate of facing stone, characterized in that: include: Acquire a target mining section, and determine a joint statistical surface and a joint surface of the target mining section; Obtain the intersection of the joint statistical surface and the joint surface Line, determining a statistical origin according to the intersection line, determining a joint surface point set of the joint surface according to the statistical origin, and determining a normal vector of the joint surface according to the joint surface point set; Determine the measured surface and the inferred surface of the target mining section, determine the mining direction according to the normal vector, and determine the measured joint line where the joint surface intersects the measured surface, and the inferred joint line that intersects the inferred surface according to the mining direction and the joint surface point set, and obtain the joint projection line of the inferred joint line on the measured surface; Determine a plurality of structural planes according to the projection lines and the measured joint lines, and determine a plurality of mining steps according to each of the structural planes; Acquire multiple preset rough material specifications, and arrange the cutting of each mining step according to each preset rough material specification to obtain multiple rough material arrangement strategies; The waste material rates of each of the waste material cutting strategies are calculated, and the maximum waste material rate therein is taken as the theoretical waste material rate.

2. The method for obtaining the theoretical waste material rate according to claim 1, characterized in that: The step of arranging each mining step according to each preset rough material specification to obtain a plurality of rough material arrangement strategies includes: Determining a rough material unit size according to each of the preset rough material specifications, and dividing each of the mining steps into a plurality of rough material units according to the rough material unit size; Each of the mining steps is arranged according to each of the rough material units and each of the preset rough material specifications to obtain each of the rough material arrangement strategies.

3. The method for obtaining the theoretical waste material rate according to claim 1, characterized in that: The step of arranging each mining step according to each preset rough material specification to obtain a plurality of rough material arrangement strategies includes: The cutting points of each mining step are determined according to each preset rough material specification, and each cutting point is organized onto a preset model of the target mining section using a map overlay algorithm to obtain a plurality of rough material cutting strategies.

4. The method for obtaining the theoretical waste material rate according to claim 1, characterized in that: After the step of taking the maximum waste material rate as the theoretical waste material rate, the method further comprises: Determining whether the number of waste material arrangement strategies corresponding to the theoretical waste material rate is multiple; If so, according to the principle of large material priority, the optimal cutting strategy is selected from the cutting strategies for the rough materials corresponding to the theoretical rough material rate.

5. The method for obtaining the theoretical waste material rate according to claim 1, characterized in that: After the step of taking the maximum waste material rate as the theoretical waste material rate, the method further comprises: A preset waste material rate correction coefficient is obtained, and the preset waste material rate correction coefficient is used to correct the theoretical waste material rate.

6. The method for obtaining the theoretical waste material rate according to claim 5, characterized in that: The step of obtaining the preset waste material rate correction coefficient includes: Conducting calibration test on the reference mining section to obtain theoretical waste material rate and trial waste material rate of the reference mining section; The preset waste material rate correction coefficient is calculated according to the theoretical waste material rate of the reference mining section and the trial mining waste material rate.

7. The method for obtaining the theoretical waste material rate according to claim 5, characterized in that: The step of obtaining the preset waste material rate correction coefficient includes: Conducting calibration tests on a plurality of reference mining sections to obtain theoretical waste material rates and trial waste material rates of each reference mining section; The average theoretical waste material rate and the average trial mining waste material rate of each reference mining section are calculated, and the preset waste material rate correction coefficient is obtained according to the average theoretical waste material rate and the average trial mining waste material rate.

8. The method for obtaining the theoretical waste material rate according to claim 1, characterized in that: The step of obtaining a plurality of preset rough material specifications comprises: Obtain the specifications of the preset large blocks, the specifications of the preset medium blocks, and the specifications of the preset small blocks.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for obtaining the theoretical waste material rate according to any one of claims 1 to 8 are implemented.

10. A computer device comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the steps of the method for obtaining the theoretical waste material rate according to any one of claims 1 to 8.

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