Intelligent model selection system and method for coal mining equipment based on multi-parameter coupling

Abstract

The invention discloses a coal mining equipment intelligent type selection system and method based on multi-parameter coupling in the technical field of mining equipment type selection. The method comprises the steps that mine geological parameters, mining technical parameters and equipment correlation parameters are received; calculating support parameters and coal cutter parameters based on mine geological parameters, mining technical parameters and equipment associated parameters; calculating parameters of the scraper conveyor based on the parameters of the coal mining machine; calculating reversed loader parameters based on the scraper conveyor parameters; calculating crusher parameters based on the reversed loader parameters; and matching the support parameters, the coal mining machine parameters, the scraper conveyor parameters, the reversed loader parameters and the crusher parameters with the equipment database, screening equipment models meeting a threshold range, and displaying a model selection result. Through the automatic and intelligent model selection design process, the problems that traditional manual model selection is low in efficiency, large in error and the like are solved, and high efficiency and precision of fully-mechanized coal mining equipment model selection are achieved.

Description

Technical Field

[0001] This invention relates to an intelligent selection system and method for coal mining equipment based on multi-parameter coupling, belonging to the field of mining equipment selection technology. Background Technology

[0002] Coal mining is a production activity that separates and transports coal from underground or the surface, and includes two types of mining: open-pit mining and underground mining. Underground mining mainly adopts the longwall mining method, which covers processes such as fully mechanized top coal caving and high-depth mining, and involves five major processes: coal breaking, coal loading, coal transportation, support, and goaf treatment.

[0003] In the process of coal mining, the selection and design of fully mechanized mining equipment such as hydraulic supports, coal mining machines, and scraper conveyors are the foundation for ensuring the normal operation of the coal mining face. Existing technologies mainly rely on manual calculations or experience-based methods for selection and design, which has problems such as complex technical processes, poor reliability, high labor intensity, and a large amount of repetitive work. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of the prior art and provide an intelligent selection system and method for coal mining equipment based on multi-parameter coupling. Through an automated and intelligent selection and design process, it solves the problems of low efficiency and large error in traditional manual selection, and realizes efficient and accurate selection of fully mechanized mining equipment.

[0005] To achieve the above objectives, the present invention is implemented using the following technical solution:

[0006] In a first aspect, the present invention provides an intelligent selection method for coal mining equipment based on multi-parameter coupling, comprising:

[0007] Receive mine geological parameters, mining technical parameters, and equipment-related parameters;

[0008] Calculate support parameters and coal mining machine parameters based on mine geological parameters, mining technology parameters, and equipment-related parameters;

[0009] Calculate scraper conveyor parameters based on coal mining machine parameters;

[0010] Calculate the parameters of the transfer machine based on the parameters of the scraper conveyor;

[0011] Calculate crusher parameters based on transfer conveyor parameters;

[0012] The parameters of the support frame, coal mining machine, scraper conveyor, transfer conveyor, and crusher are matched with the equipment database. After filtering the equipment models that meet the threshold range, the selection results are displayed.

[0013] Furthermore, the geological parameters of the mine include coal seam dip angle, coal seam burial depth, maximum thickness of mined coal seam, average thickness of mined coal seam, basic roof thickness, immediate roof thickness, coal seam hardness coefficient, and coal seam density; the mining technical parameters include annual output of the working face, working face length, equipment uptime, number of production days per year, number of production hours per day, mining method, and support structure type; the equipment-related parameters include maximum coal cutting height of the coal mining machine, minimum coal cutting height of the coal mining machine, coal cutting depth of the coal mining machine, and working face transportation method.

[0014] Furthermore, the support parameters include the center-to-center distance of the support, the maximum support height of the support, and the support strength of the support, wherein:

[0015] The method for calculating the center distance of the support is as follows:

[0016]

[0017] In the formula: d is the center distance of the support; M is the mining method; H max This refers to the maximum coal cutting height of the coal mining machine;

[0018] The formula for calculating the maximum support height of the bracket is:

[0019]

[0020] In the formula: H zjmax This is the maximum support height of the bracket;

[0021] Under fully mechanized mining conditions, the formula for calculating the support strength of the support frame is:

[0022] σ=k×η×H max ×0.025

[0023] In the formula: σ is the support strength of the support, k is the correction coefficient, and η is the tilt angle correction coefficient;

[0024] Under the comprehensive laying conditions, the formula for calculating the support strength of the support frame is:

[0025]

[0026] r = ρ 岩 ×g×h+ρ 煤 ×g×(T max -H max )

[0027]

[0028] Where: σ is the support strength of the support; k is the correction coefficient; r is the roof load; η is the tilt angle correction coefficient; λ is the working face length correction coefficient; ρ 岩ρ is the density of the immediate top rock layer; g is the gravitational acceleration; h is the equivalent height of the top rock layer; 煤 T represents the density of top coal. max T represents the maximum thickness of the coal seam being mined. z L represents the direct top thickness; L represents the working surface length.

[0029] Furthermore, the parameters of the coal mining machine include the annual coal cutting capacity, the hourly coal cutting capacity, the total power of the coal mining machine, the height of the coal mining machine face, the diameter of the coal mining machine drum, and the traction speed of the coal mining machine, wherein:

[0030] The formula for calculating the annual coal cutting volume of the coal mining machine is as follows:

[0031]

[0032] In the formula: Q 割 A represents the annual coal cutting volume of the coal mining machine; H represents the annual output; max T is the maximum coal cutting height of the coal mining machine. m M represents the average thickness of the coal seam being mined; M represents the mining method.

[0033] The formula for calculating the hourly coal cutting capacity of the coal mining machine is as follows:

[0034] Q h =max(Q h1 Q h2 )

[0035]

[0036] Q h2 =60×H max ×d c ×v p ×η k ×1.2

[0037] In the formula: Q h Q represents the amount of coal cut by the coal mining machine per hour; h1 A represents the hourly coal cutting capacity of the coal mining machine, calculated based on annual production; D represents the annual output. y For the number of working days per year; H d η is the number of working hours per day. k For the power-on rate; Q h2 H represents the hourly coal cutting rate of the coal mining machine, calculated based on coal cutting parameters. max d is the maximum coal cutting height of the coal mining machine. c For cutoff depth; v p Preset traction speed;

[0038] The formula for calculating the total power of the coal mining machine is as follows:

[0039] p total =Q h ×ηe ×k p ×k f

[0040]

[0041] In the formula: P total η is the total power of the coal mining machine. e Energy consumption coefficient; k p k is the power coefficient. f f is the firmness coefficient; f is the coal seam hardness coefficient;

[0042] The formula for calculating the height of the coal mining machine face is:

[0043] H j =(H min -t d -g m )×1000

[0044]

[0045] In the formula: H j H is the height of the aircraft surface. min Minimum mining height; t d g is the thickness of the top beam. m This refers to the clearance between machines;

[0046] The formula for calculating the diameter of the coal mining machine drum is as follows:

[0047]

[0048] In the formula: D d The diameter of the drum;

[0049] The formula for calculating the traction speed of the coal mining machine is as follows:

[0050]

[0051] In the formula: v c d is the traction speed of the coal mining machine. c For the cutoff depth; ρ c H is the bulk density of coal. e This represents the average mining height.

[0052] Furthermore, the parameters of the scraper conveyor include the scraper conveyor's conveying capacity, operating resistance, and total power, wherein:

[0053] The conveying capacity of the scraper conveyor includes the conveying capacity of the fully mechanized mining scraper conveyor and the conveying capacity of the fully mechanized caving scraper conveyor. The conveying capacity of the fully mechanized mining scraper conveyor is:

[0054] Q gbj =1.2×Q h

[0055] In the formula: Q gbj Q represents the hourly conveying capacity of the scraper conveyor. h This refers to the amount of coal cut by the coal mining machine per hour.

[0056] The conveying capacity of the fully mechanized scraper conveyor is:

[0057] Q qgbj =1.2×Q h

[0058]

[0059]

[0060] T=D y ×H d

[0061] In the formula: Q qgbj Q represents the hourly conveying capacity of the front scraper conveyor. hgbj Q represents the hourly conveying capacity of the rear scraper conveyor. h γ is the hourly coal cutting rate of the coal mining machine; A is the annual output; γ is the gangue mixing rate; T m H represents the average thickness of the coal seam being mined. max K1 is the maximum coal cutting height of the coal mining machine; K2 is the production imbalance coefficient; T is the transportation surplus coefficient; D is the annual working time. y For the number of working days per year; H d 1. Daily working hours; μ is the coal discharge efficiency;

[0062] The formula for calculating the operating resistance is:

[0063] F g上 =L×(q) m +G q ×g)×(1.08×0.42×cosθ g +sinθ g )

[0064]

[0065] F g下 =L×(G q ×g)×(1.08×0.4×cosθ g -sinθ g )

[0066] In the formula: F g上 q represents the branch resistance of the scraper conveyor; L represents the working face length; m ρ is the linear density of the material; Q is the conveying capacity of the scraper conveyor; g is the acceleration due to gravity; v is the chain speed; θ g For the working face inclination angle; F g下G represents the resistance of the lower branch of the scraper conveyor. q For chain weight;

[0067] The formula for calculating the total power of the scraper conveyor is:

[0068]

[0069] P g总 =1.1×(P) g上 +P g下 )

[0070] In the formula: P g上 η is the branch power of the scraper conveyor. c For transmission efficiency; P g下 P is the power of the lower branch of the scraper conveyor. g总 This represents the total power of the scraper conveyor.

[0071] Furthermore, the parameters of the transfer machine include the transfer machine's carrying capacity and total power, wherein:

[0072] The transshipment capacity is:

[0073] Comprehensive mining: Q zzj =Q gbj ×1.3

[0074] Comprehensive Release: Q zzj =(Q qgbj+ Q hgbj )×1.15

[0075] In the formula: Q zzj Q represents the hourly conveying capacity of the transfer machine. gbj Q represents the hourly transport capacity of the scraper conveyor. qgbj Q represents the hourly transport capacity of the front scraper conveyor. hgbj This refers to the hourly transport capacity of the rear scraper conveyor.

[0076] The total power of the transfer machine is:

[0077] P z总 =1.1×(P) z上 +P z下 )

[0078]

[0079] F z上 =L×(m+G q ')×(1.08×0.42×cosθ z +sinθ z )

[0080] F z下 =L×m×(1.08×0.4×cosθ) z-sinθ z )

[0081]

[0082] In the formula: P z总 P represents the total power of the transfer machine. z上 P z下 These represent the power of the upper branch and the lower branch of the transfer machine, respectively; V is the chain speed of the transfer machine; F z上 For the branch running resistance on the transfer machine; F z下 The resistance of the lower branch of the transfer machine is L; the length of the working face is m; the mass of material per meter is G. q ' is the unit weight of the chain; θ z Q is the conveyor tilt angle; zzj ρ is the hourly conveying capacity of the transfer machine; g is the acceleration due to gravity.

[0083] Furthermore, the crusher parameters include the crusher's hourly processing capacity and total crusher power, wherein:

[0084] The formula for calculating the hourly processing capacity of the crusher is as follows:

[0085] Fully mechanized mining scenario:

[0086] Q psj =Q zzj ×1.25

[0087] Integrated playback scenario:

[0088] Q psj =Q zzj ×1.2

[0089] In the formula: Q psj Q represents the hourly processing capacity of the crusher. zzj This refers to the hourly conveying capacity of the transfer machine;

[0090] The total power of the crusher is:

[0091]

[0092] In the formula: P is the total power of the crusher.

[0093] Secondly, the present invention provides an intelligent selection system for coal mining equipment based on multi-parameter coupling, comprising:

[0094] Data receiving module: used to receive mine geological parameters, mining technical parameters, and equipment-related parameters;

[0095] Parameter calculation module: used to calculate support parameters and coal mining machine parameters based on mine geological parameters, mining technology parameters, and equipment-related parameters; calculate scraper conveyor parameters based on coal mining machine parameters; calculate transfer conveyor parameters based on scraper conveyor parameters; calculate crusher parameters based on transfer conveyor parameters;

[0096] Matching and Selection Module: Matches the parameters of the support frame, coal mining machine, scraper conveyor, transfer conveyor, and crusher with the equipment database, filters out equipment models that meet the threshold range, and displays the selection results.

[0097] Thirdly, the present invention provides an intelligent selection device for coal mining equipment based on multi-parameter coupling, including a processor and a storage medium;

[0098] The storage medium is used to store instructions;

[0099] The processor is configured to operate according to the instructions to perform the steps of the method according to any of the foregoing.

[0100] Fourthly, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the methods described above.

[0101] Compared with the prior art, the beneficial effects achieved by the present invention are as follows:

[0102] I. This solution constructs a multi-dimensional coupled calculation model by collecting coal seam geological parameters, mining technical parameters, and equipment performance parameters. This model enables automated and coordinated selection of hydraulic supports, coal mining machines, scraper conveyors, transfer conveyors, and crushers. Through coupled calculation of geological parameters and mining methods, the threshold range of key parameters for each piece of equipment is determined. Based on database intelligent matching technology, the optimal equipment model is selected. This solves the problems of reliance on experience, cumbersome calculations, and poor adaptability in the traditional selection process, and significantly improves the accuracy and efficiency of equipment selection.

[0103] Second, compared with traditional manual selection, this solution improves efficiency, shortens the selection time for a single set of equipment, and significantly improves selection efficiency. At the same time, through automatic calculation by algorithm models, the error rate of parameter calculation is reduced, reducing human calculation errors. In addition, based on historical case databases and machine learning algorithms, the recommended equipment models are more in line with actual mining needs, improving the rationality of equipment matching. The system interface is user-friendly and supports parameter adjustment and recalculation, allowing designers to quickly obtain satisfactory selection solutions. Attached Figure Description

[0104] The accompanying drawings, which form part of this specification, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings:

[0105] Figure 1 This is a flowchart illustrating an intelligent selection method for coal mining equipment based on multi-parameter coupling, as provided in Embodiment 1 of the present invention. Detailed Implementation

[0106] The present invention will now be described in detail with reference to the accompanying drawings and embodiments. It should be noted that, unless otherwise specified, the embodiments and features described herein can be combined with each other.

[0107] The following detailed description is exemplary and intended to provide further detailed explanation of the invention. Unless otherwise specified, all technical terms used in this invention have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used in this invention is for describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention.

[0108] Example 1:

[0109] Please see Figure 1 This embodiment discloses an intelligent selection method for coal mining equipment based on multi-parameter coupling, including: establishing a selection parameter model for fully mechanized mining equipment; inputting coal mine geological parameters, mining technical parameters, and equipment performance parameters; performing data rationality verification; after passing the verification, the system automatically calculates the main technical parameters of equipment such as hydraulic supports, coal mining machines, scraper conveyors, transfer conveyors, and crushers, such as the working resistance of the supports, the total installed power of the coal mining machine, and the conveying capacity of the scraper conveyor, to complete the collaborative selection of multiple equipment. Then, based on the above selection calculation results, and based on machine learning algorithms and historical case libraries, the system automatically recommends equipment models and parameters, generates a database intelligent filtering system to generate recommended equipment models, supports designers to adjust the selection parameters, recalculates and optimizes the selection scheme after adjustment, and outputs the design scheme. The system displays a list of technical parameters through an interface and exports the selection result design document, ensuring that the selection scheme meets actual needs and realizing intelligent recommendation and adjustment.

[0110] In this embodiment, taking a coal mine mining equipment selection and design project as an example, the system operation flow is as follows:

[0111] S1: Input mine geological parameters, mining technical parameters, and equipment-related parameters, including:

[0112] Mine geological parameters include coal seam dip angle θ (°), coal seam burial depth D (m), and maximum coal seam thickness T. max (m), average thickness of mined coal seam T m (m), Basic top thickness T j (m), direct top thickness T z (m), coal seam hardness coefficient f, coal seam density ρ c (t / m 3Mining technical parameters include annual output A (ten thousand tons), working face length L (m), and equipment uptime η. k Annual production days D y (d) Daily production hours H d (h) Mining method M (fully mechanized mining / fully mechanized caving), support structure type (two-column shield type / four-column support shield type); equipment related parameters include the maximum coal cutting height H of the coal mining machine. max (m), minimum coal cutting height H of the coal mining machine min (m), coal cutting depth of the coal mining machine d c Basic parameters such as (0.6m / 0.8m / 0.865m / 1m) and working face transportation methods.

[0113] In this embodiment, the mine geological parameters are: coal seam dip angle θ = 1°, coal seam burial depth D = 300m, and maximum coal seam thickness T. max =4m, average coal seam thickness T m =3.5m, coal seam hardness coefficient f=1, immediate roof thickness T z =2m, basic top thickness T j =6m, coal seam density ρ c =1.35t / m 3 The mining technical parameters are: annual output of the working face A = 5 million tons / year, working face length L = 200 meters, and operating rate η. k =0.7, Number of production days per year D y =330d, daily production hours H d =18h, mining method M=fully mechanized mining. Equipment related parameters are: minimum coal cutting height H of the coal mining machine. min =0.8m, maximum coal cutting height H of the coal mining machine max =3.8m, cutting depth d of the coal mining machine c =0.8m.

[0114] S2: Support parameter calculation. Based on the mining method and the maximum coal cutting height of the coal mining machine, the center distance and maximum support height of the support are determined. Then, the support strength is corrected by combining the coal depth and dip angle. Among them:

[0115] The calculation parameters for the stent include:

[0116] The method for calculating the center distance of the support is as follows:

[0117]

[0118] In the formula: d is the center distance of the support (m); M is the mining method; H max This represents the maximum coal cutting height (m) of the coal mining machine.

[0119] The formula for calculating the maximum support height of the bracket is:

[0120]

[0121] In the formula: H zjmax M represents the maximum support height of the support frame (mm); M represents the mining method; H ...). max This represents the maximum coal cutting height (m) of the coal mining machine.

[0122] The formula for calculating the strength of the stent is:

[0123] The formula for calculating the support strength of the support under fully mechanized mining conditions is:

[0124] σ=k×η×H max ×0.025

[0125] In the formula: σ is the support strength of the support (MPa), k is the correction factor, and H max η is the maximum coal cutting height of the coal mining machine (m), and η is the dip angle correction coefficient. The values ​​of k and η under fully mechanized mining conditions are shown in Tables 1 and 2. In Table 2, θ is the dip angle of the coal seam, and 0.025 is an empirical constant based on the average unit weight of the rock strata, representing the basic support strength (MPa / m) corresponding to each meter of mining height.

[0126]

[0127] Table 1: Range of k values ​​(Part 1)

[0128]

[0129] Table 2: Range of η values ​​(I) The calculation formula for the support strength of the support under fully mechanized laying conditions is:

[0130]

[0131] r = ρ 岩 ×g×h+ρ 煤 ×g×(T max -H max )

[0132]

[0133] In the formula: σ is the support strength of the support (MPa); h is the equivalent height of the roof strata (m), representing the equivalent thickness of the direct roof that needs support; T max T represents the maximum thickness of the coal seam being mined. z ρ is the direct top thickness; r is the top plate load; ρ 岩 Density of the immediate top rock layer (kg / m³) 3 g is the acceleration due to gravity (N / kg); ρ 煤 The density of top coal (kg / m³) 3k is the correction factor; η is the tilt angle correction factor; λ is the working face length correction factor; L is the working face length. The values ​​of k and η under fully mechanized mining conditions are shown in Tables 3 and 4.

[0134]

[0135] Table 3: Range of k values ​​(II)

[0136]

[0137]

[0138] Table 4: Range of η values ​​(II)

[0139] In this embodiment, the system calculates the following parameters based on the hydraulic support selection parameters: center distance of the support is 1.75m, maximum support height is 4000mm, and minimum support strength is 0.76MPa.

[0140] S3: Coal mining machine parameter calculation. Based on mining parameters and geological parameters, calculate the hourly coal cutting capacity, total power, base height, drum diameter, and traction speed of the coal mining machine, including:

[0141] The parameters of the coal mining machine include:

[0142] The formula for calculating the annual coal cutting volume of a coal mining machine is as follows:

[0143]

[0144] In the formula: Q 割 A represents the annual coal cutting volume of the coal mining machine; H represents the annual output; max T is the maximum coal cutting height of the coal mining machine. m M represents the average thickness of the coal seam being mined; M represents the mining method.

[0145] The formula for calculating the hourly coal cutting capacity of a coal mining machine is as follows:

[0146] Calculated based on annual production:

[0147]

[0148] In the formula: Q h1 A represents the coal cutting rate per hour of the coal mining machine, calculated based on annual production; D represents the annual production (in ten thousand tons); y Working days per year (d); H d η is the number of working hours per day (h); k This refers to the system startup rate.

[0149] Calculations based on coal cutting parameters:

[0150] Q h2 =60×H max ×dc ×v p ×η k ×1.2

[0151] In the formula: Q h2 H represents the hourly coal cutting rate of the coal mining machine, calculated based on coal cutting parameters. max d represents the maximum coal cutting height of the coal mining machine (m); c For the cutoff depth (m); v p Preset traction speed (m / min); η k This refers to the system startup rate.

[0152] The final coal cutting capacity Q per hour of the coal mining machine h :

[0153] Q h =max(Q h1 Q h2 )

[0154] The formula for calculating the total power of a coal mining machine is:

[0155] p total =Q h ×η e ×k p ×k f

[0156]

[0157] In the formula: P total η is the total power of the coal mining machine. e Energy consumption coefficient (value determined based on mining height segmentation); k p Power coefficient (value determined based on mining height segmentation); k f This is the robustness coefficient (based on the Protodyakonov coefficient).

[0158] The formula for calculating the height of the coal mining machine face is:

[0159] H j =(H min -t d -g m )×1000

[0160]

[0161]

[0162] In the formula: H j H is the height of the aircraft surface. min Minimum mining height (m); t d The thickness of the top beam (value determined based on the mining height segment); g m This is the machine clearance (value determined based on the mining height segment).

[0163] The formula for calculating the diameter of the coal mining machine drum is:

[0164]

[0165] In the formula: D d H is the diameter of the drum; max This is the maximum coal cutting height of the coal mining machine.

[0166] The formula for calculating the traction speed of a coal mining machine is:

[0167]

[0168] In the formula: v c Q represents the traction speed of the coal mining machine. h d represents the amount of coal cut by the coal mining machine per hour. c For the cutoff depth; ρ c H is the bulk density of coal. e The average mining height is (m).

[0169] In this embodiment, the system calculates the total power of the coal mining machine as 2688.6kW, the diameter of the coal mining machine drum as 2000mm, the maximum base height of the coal mining machine as 2500mm, and the cutting speed of the coal mining machine as 13m / min through the calculation of the coal mining machine selection parameters.

[0170] S4: Scraper conveyor parameter calculation, distinguishing between fully mechanized mining and fully mechanized caving scenarios. The hourly conveying capacity of the scraper conveyor is determined based on the hourly coal cutting rate of the coal mining machine. The trough width, chain weight, and chain speed are determined based on the scraper conveyor's conveying capacity. The total power of the scraper conveyor is calculated based on mining parameters combined with geological parameters. The scraper conveyor parameter calculation includes:

[0171] The formula for calculating the conveying capacity of a scraper conveyor is:

[0172] Fully mechanized scraper conveyor capacity:

[0173] Q gbj =1.2×Q h

[0174] In the formula: Q gbj Q represents the hourly conveying capacity of the scraper conveyor (t / h); h This refers to the coal cutting capacity of the coal mining machine per hour (t / h).

[0175] Fully mechanized scraper conveyor capacity:

[0176] Q qgbj =1.2×Q h

[0177]

[0178] T=D y ×Hd

[0179] In the formula: Q qgbj Q represents the hourly conveying capacity of the front scraper conveyor (t / h); hgbj Q represents the hourly conveying capacity of the rear scraper conveyor (t / h); h 1.2 is the coal cutting rate per hour (t / h) of the coal mining machine; A is the annual output (t / a); γ is the gangue mixing rate (%), i.e., the proportion of gangue in the top coal; T m H represents the average thickness of the coal seam being mined (m). max K1 is the maximum coal cutting height of the coal mining machine (m); K2 is the production imbalance coefficient (usually taken as 1.2); K2 is the transportation surplus coefficient (usually taken as 0.85); T is the annual working time (h); D is the maximum coal cutting height of the coal mining machine (m); K1 is the production imbalance coefficient (usually taken as 1.2); D is the transportation surplus coefficient (usually taken as 0.85); K2 is the annual working time (h); D is the annual y Working days per year (d), H d is the number of working hours per day (h); μ is the coal discharge efficiency (usually taken as 0.45 to 0.6).

[0180] Determine the trough width, chain weight, and chain speed based on the hourly conveying capacity of the scraper conveyor:

[0181] Transport volume range (t / h) Groove width B (mm) <![CDATA[Chain weight G q (kg / m)]]> Chain speed v (m / s) <![CDATA[Q gbj ≤450]]> 630 0.46 1.1 <![CDATA[450<Q gbj ≤700]]> 730 0.517 1.3 <![CDATA[700<Q gbj ≤1000]]> 764 0.799 1.3 <![CDATA[1000<Q gbj ≤1500]]> 800 0.838 1.4 <![CDATA[1500<Q gbj ≤1800]]> 900 0.978 1.4 <![CDATA[1800<Q gbj ≤2500]]> 1000 1.235 1.5 <![CDATA[2500<Q gbj ≤3000]]> 1200 1.735 1.7 <![CDATA[3000<Q gbj ≤4000]]> 1250 2.235 1.7 <![CDATA[4000<Q gbj ≤5500]]> 1400 2.935 1.9 <![CDATA[5500<Q gbj ≤6000]]> 1500 3.135 1.9 <![CDATA[6000<Q gbj ≤8000]]> 1600 3.635 1.9

[0182] Table 5: Correspondence between transport volume, trench width, chain weight, and chain speed

[0183] The formula for calculating running resistance is:

[0184] F g上 =L×(q) m +G q ×g)×(1.08×0.42×cosθ g +sinθ g )

[0185]

[0186] F g下 =L×(G q ×g)×(1.08×0.4×cosθ g -sinθ g )

[0187] In the formula: F g上 q represents the branch resistance of the scraper conveyor (N); L represents the working face length (m); m ρ is the linear density of the material (N / m³); Q is the conveying capacity of the scraper conveyor (t / h); g is the acceleration due to gravity (9.8 m / s²). 2 );θ g The inclination angle of the working face is v; the chain speed is v (m / s); G is G. q Chain weight (kg / m); F g下The resistance (N) of the lower branch of the scraper conveyor;

[0188] The formula for calculating the total power of a scraper conveyor is:

[0189]

[0190] P g总 =1.1×(P) g上 +P g下 )

[0191] In the formula: P g上 Power of the scraper conveyor branch (kW); P g下 Power of the lower branch of the scraper conveyor (kW); P g总 The total power of the scraper conveyor (kW); η c For transmission efficiency, a value of 0.86 is typically used.

[0192] In this embodiment, the system calculates the total power of the scraper conveyor as 1829.7kW, the conveying capacity as 2954.6t / h, and the trough width as 1250mm based on the scraper conveyor selection parameters.

[0193] S5: Transfer conveyor parameter calculation: The transfer capacity is determined based on the scraper conveyor's conveying capacity; the transfer conveyor's trough width is determined based on the scraper conveyor's trough width; the chain speed is determined by combining the transfer conveyor's hourly conveying capacity and trough width; and the power is calculated. Among these:

[0194] The formulas for calculating the transshipment volume and power are as follows:

[0195] The formula for calculating transshipment volume is:

[0196] Comprehensive mining: Q zzj =Q gbj ×1.3

[0197] In the formula: Q zzj Q represents the hourly conveying capacity of the transfer machine (t / h); gbj 1.3 represents the hourly transport capacity of the scraper conveyor (t / h); 1.3 represents the transport surplus coefficient.

[0198] Comprehensive Release: Q zzj =(Q qgbj+ Q hgbj )×1.15

[0199] In the formula: Q zzj Q represents the hourly conveying capacity of the transfer machine (t / h); qgbj Q represents the hourly transport capacity of the front scraper conveyor (t / h); hgbj 1.15 represents the hourly transport capacity of the rear scraper conveyor (t / h); 1.15 is the transport surplus coefficient.

[0200] Determine the width of the transfer conveyor trough based on the width of the scraper conveyor trough:

[0201]

[0202] Table 6: Correspondence between Scraper Conveyor Groove Width and Transfer Conveyor Groove Width

[0203] Determine the chain speed based on the hourly conveying capacity and trough width of the transfer machine:

[0204] Transport volume range (t / h) Groove width B (mm) <![CDATA[Chain unit weight G q ’ (kg / m)]]> Chain speed V (m / s) <![CDATA[Q zzj ≤600]]> 630 0.46 1.3 <![CDATA[600<Q zzj ≤1000]]> 764 0.606 1.4 <![CDATA[1000<Q zzj ≤1500]]> 800 0.799 1.5 <![CDATA[1500<Q zzj ≤2200]]> 900 0.799 1.6 <![CDATA[2200<Q zzj ≤3000]]> 1000 1.178 1.7 <![CDATA[3000<Q zzj ≤3500]]> 1200 1.418 1.8 <![CDATA[3500<Q zzj ≤4500]]> 1350 1.735 1.9 <![CDATA[4500<Q zzj ≤6000]]> 1600 2.235 2.0 <![CDATA[6000<Q zzj ≤8000]]> 1800 2.935 2.2

[0205] Table 7: Correspondence between Transport Volume, Trench Width, Chain Weight, and Chain Speed

[0206] The formula for calculating the total power of the transfer machine is:

[0207]

[0208] Where: m is the mass of material per meter (kg / m); Q zzj V is the hourly conveying capacity of the transfer conveyor (t / h); V is the chain speed of the transfer conveyor (m / s); g is the acceleration due to gravity (valued at 9.8 m / s²). 2 ); 3.6—Unit conversion factor (km / h→m / s); 1000—Unit conversion system (t→kg).

[0209] F z上 =L×(m+G q ')×(1.08×0.42×cosθ z +sinθ z )F z上 The resistance to the branch running on the transfer machine; L is the length of the working face (m); m is the material mass per meter (kg / m); G q ' is the unit weight of the chain (kg / m); θ z The conveyor tilt angle is fixed at 1°; 1.08 is the simulated friction coefficient; and 0.42 is the rolling resistance coefficient.

[0210] F z下 =L×m×(1.08×0.4×cosθ) z -sinθ z )

[0211] In the formula: F z下 θ represents the running resistance of the lower branch of the transfer machine; L is the length of the working face (m); m is the mass of material per meter (kg / m); θ z The conveyor tilt angle is fixed at 1°; 1.08 is the simulated friction coefficient; and 0.4 is the rolling resistance coefficient of the lower branch.

[0212]

[0213] P z总 =1.1×(P) z上+P z下 )

[0214] In the formula: P z总 Total power of the transfer machine (kW); P z上 P z下 These represent the power of the upper branch of the transfer machine (kW) and the power of the lower branch of the transfer machine (kW), respectively; 0.86 is the transmission efficiency coefficient; and 1.1 is the safety factor.

[0215] In this embodiment, based on the selection parameters of the transfer machine, the system calculates that the total power of the transfer machine is 451.5kW, the transport capacity is 3841.0t / h, and the width of the transfer machine trough is 1350mm.

[0216] S6: Crusher parameter calculation. The hourly processing capacity of the crusher is determined based on the conveyor capacity of the transfer conveyor. The total power of the crusher is determined based on the piecewise function and the hourly processing capacity. The transfer conveyor parameter calculation includes:

[0217] The formula for calculating the hourly processing capacity of a crusher is:

[0218] Fully mechanized mining scenario:

[0219] Q psj =Q zzj ×1.25

[0220] Integrated playback scenario:

[0221] Q psj =Q zzj ×1.2

[0222] In the formula: Q psj Q represents the hourly processing capacity of the crusher. zzj 1.25 represents the hourly conveying capacity of the transfer machine; 1.25 and 1.2 are the crushing allowance coefficients.

[0223]

[0224] In the formula: P is the total power of the crusher; Q psj This represents the hourly processing capacity of the crusher.

[0225] In this embodiment, the system calculates the total power of the crusher to be 700kW and the crushing capacity to be 4801.2t / h based on the crusher selection parameters.

[0226] S7: Equipment matching. Match the parameters calculated in steps S2-S6 with the equipment database, filter equipment models that meet the threshold range, compare the parameters output by the calculation module with the equipment parameters in the database module, filter the equipment that meets the conditions, and display the selection results.

[0227] In this embodiment, based on the above parameter thresholds and using database intelligent matching technology, the following device models are recommended:

[0228] Hydraulic support selection results: ZY9000 / 20 / 40D, ZY12000 / 20 / 40D, ZY9000 / 20 / 40, ZY7000 / 19 / 40, ZY8600 / 20 / 40, ZY9200 / 20 / 42, ZY9000 / 19 / 40

[0229] Coal mining machine selection result: MG1050 / 2840-WD

[0230] Scraper conveyor selection results: SGZ1250 / 2*1000, SGZ1250 / 3*700

[0231] Transfer machine selection result: SZZ1350 / 525

[0232] Crusher selection results: PLM5000, PCM700

[0233] If you adjust the parameters, for example, by changing the recommended minimum support strength of the hydraulic support from 0.76MPa to 0.8MPa, click "Re-search after adjustment" and the system will recalculate and recommend a model.

[0234] After reviewing the adjusted selection results and confirming that they are correct, export the design scheme, including the equipment parameter table, model selection results, and specific information.

[0235] In the description of this invention, the types of support parameters in the parameter central system, the number of design standard template styles, etc., should not be considered as limitations on this invention. Similarly, the types and number of parameters in the parameter input interface, and the sequence of steps in the collaborative design process, should not be considered as limitations on this invention.

[0236] Example 2:

[0237] A coal mining equipment intelligent selection system based on multi-parameter coupling, which can realize the coal mining equipment intelligent selection method based on multi-parameter coupling described in Embodiment 1, includes:

[0238] (I) Parameter Input Module:

[0239] Geological parameter unit: Input geological condition parameters such as coal seam thickness, dip angle, and burial depth.

[0240] Mining Parameters Unit: Input mining technical parameters such as annual working face output, length, and coal cutting height of the coal mining machine.

[0241] Data validation unit: Performs validity checks on input data to ensure parameter accuracy.

[0242] (II) Equipment Selection Calculation Module:

[0243] Data display unit: Displays the main technical parameters and selection results of the equipment in tabular form.

[0244] Information query unit: Supports viewing specific device parameters and application cases.

[0245] Export and save unit: Supports saving and exporting design results for easy subsequent use.

[0246] Example 3:

[0247] This invention also provides an intelligent selection device for coal mining equipment based on multi-parameter coupling, which can realize the intelligent selection method for coal mining equipment based on multi-parameter coupling described in Embodiment 1, including a processor and a storage medium;

[0248] The storage medium is used to store instructions;

[0249] The processor is configured to operate according to the instructions to perform the steps of the following method:

[0250] Receive mine geological parameters, mining technical parameters, and equipment-related parameters;

[0251] Calculate support parameters and coal mining machine parameters based on mine geological parameters, mining technology parameters, and equipment-related parameters;

[0252] Calculate scraper conveyor parameters based on coal mining machine parameters;

[0253] Calculate the parameters of the transfer machine based on the parameters of the scraper conveyor;

[0254] Calculate crusher parameters based on transfer conveyor parameters;

[0255] The parameters of the support frame, coal mining machine, scraper conveyor, transfer conveyor, and crusher are matched with the equipment database. After filtering the equipment models that meet the threshold range, the selection results are displayed.

[0256] Example 4:

[0257] This invention also provides a computer-readable storage medium that can implement the intelligent selection method for coal mining equipment based on multi-parameter coupling described in Embodiment 1. The medium stores a computer program that, when executed by a processor, performs the steps of the following method:

[0258] Receive mine geological parameters, mining technical parameters, and equipment-related parameters;

[0259] Calculate support parameters and coal mining machine parameters based on mine geological parameters, mining technology parameters, and equipment-related parameters;

[0260] Calculate scraper conveyor parameters based on coal mining machine parameters;

[0261] Calculate the parameters of the transfer machine based on the parameters of the scraper conveyor;

[0262] Calculate crusher parameters based on transfer conveyor parameters;

[0263] The parameters of the support frame, coal mining machine, scraper conveyor, transfer conveyor, and crusher are matched with the equipment database. After filtering the equipment models that meet the threshold range, the selection results are displayed.

[0264] As is known from common technical knowledge, this invention can be implemented through other embodiments that do not depart from its spirit or essential characteristics. Therefore, the disclosed embodiments described above are merely illustrative and not exhaustive. All modifications within the scope of this invention or its equivalents are included in this invention.

[0265] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0266] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0267] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0268] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0269] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for intelligent selection of coal mining equipment based on multi-parameter coupling, characterized in that, include: Receive mine geological parameters, mining technical parameters, and equipment-related parameters; Calculate support parameters and coal mining machine parameters based on mine geological parameters, mining technology parameters, and equipment-related parameters; Calculate scraper conveyor parameters based on coal mining machine parameters; Calculate the parameters of the transfer machine based on the parameters of the scraper conveyor; Calculate crusher parameters based on transfer conveyor parameters; The parameters of the support frame, coal mining machine, scraper conveyor, transfer conveyor, and crusher are matched with the equipment database. After filtering the equipment models that meet the threshold range, the selection results are displayed.

2. The intelligent selection method for coal mining equipment based on multi-parameter coupling according to claim 1, characterized in that, The geological parameters of the mine include coal seam dip angle, coal seam burial depth, maximum thickness of mined coal seam, average thickness of mined coal seam, basic roof thickness, immediate roof thickness, coal seam hardness coefficient, and coal seam density; the mining technical parameters include annual output of the working face, working face length, equipment uptime, number of production days per year, number of production hours per day, mining method, and support structure type; the equipment-related parameters include maximum coal cutting height of the coal mining machine, minimum coal cutting height of the coal mining machine, coal cutting depth of the coal mining machine, and working face transportation method.

3. The intelligent selection method for coal mining equipment based on multi-parameter coupling according to claim 1, characterized in that, The stent parameters include the stent center distance, the maximum support height of the stent, and the stent support strength, wherein: The method for calculating the center distance of the support is as follows: In the formula: d is the center distance of the support; M is the mining method; H max This refers to the maximum coal cutting height of the coal mining machine; The formula for calculating the maximum support height of the bracket is: Where: H zjmax This is the maximum support height of the bracket; Under fully mechanized mining conditions, the formula for calculating the support strength of the support frame is: σ=k×η×H max ×0.025 In the formula: σ is the support strength of the support, k is the correction coefficient, and η is the tilt angle correction coefficient; Under the comprehensive laying conditions, the formula for calculating the support strength of the support frame is: r=ρ 岩 ×g×h+ρ 煤 ×g×(T max -H max ) Where: σ is the support strength of the support; k is the correction coefficient; r is the roof load; η is the tilt angle correction coefficient; λ is the working face length correction coefficient; ρ 岩 ρ is the density of the immediate top rock layer; g is the gravitational acceleration; h is the equivalent height of the top rock layer; 煤 T represents the density of top coal. max T represents the maximum thickness of the coal seam being mined. z L represents the direct top thickness; L represents the working surface length.

4. The intelligent selection method for coal mining equipment based on multi-parameter coupling according to claim 1, characterized in that, The parameters of the coal mining machine include the annual coal cutting capacity, the hourly coal cutting capacity, the total power of the coal mining machine, the face height of the coal mining machine, the drum diameter of the coal mining machine, and the traction speed of the coal mining machine, wherein: The formula for calculating the annual coal cutting volume of the coal mining machine is as follows: In the formula: Q 割 A represents the annual coal cutting volume of the coal mining machine; H represents the annual output; max T is the maximum coal cutting height of the coal mining machine. m M represents the average thickness of the coal seam being mined; M represents the mining method. The formula for calculating the hourly coal cutting capacity of the coal mining machine is as follows: Q h =max(Q h1 ,Q h2 ) Q h2 =60×H max ×d c ×v p ×η k ×1.2 In the formula: Q h Q represents the coal cutting rate of the coal mining machine per hour; h1 A represents the hourly coal cutting capacity of the coal mining machine, calculated based on annual production; D represents the annual output. y For the number of working days per year; H d η is the number of working hours per day. k For the power-on rate; Q h2 H represents the hourly coal cutting rate of the coal mining machine, calculated based on coal cutting parameters. max d is the maximum coal cutting height of the coal mining machine. c For cutoff depth; v p Preset traction speed; The formula for calculating the total power of the coal mining machine is as follows: p total =Q h ×η e ×k p ×k f In the formula: P total η is the total power of the coal mining machine. e Energy consumption coefficient; k p k is the power coefficient. f f is the firmness coefficient; f is the coal seam hardness coefficient; The formula for calculating the height of the coal mining machine face is: H j =(H min -t d -g m )×1000 Where: H j H is the height of the aircraft surface. min Minimum mining height; t d g is the thickness of the top beam. m This refers to the clearance between machines; The formula for calculating the diameter of the coal mining machine drum is as follows: In the formula: D d The diameter of the drum; The formula for calculating the traction speed of the coal mining machine is as follows: In the formula: v c d is the traction speed of the coal mining machine. c For the cutoff depth; ρ c H is the bulk density of coal. e This represents the average mining height.

5. The intelligent selection method for coal mining equipment based on multi-parameter coupling according to claim 1, characterized in that, The parameters of the scraper conveyor include the scraper conveyor's conveying capacity, operating resistance, and total power, wherein: The conveying capacity of the scraper conveyor includes the conveying capacity of the fully mechanized mining scraper conveyor and the conveying capacity of the fully mechanized caving scraper conveyor. The conveying capacity of the fully mechanized mining scraper conveyor is: Q gbj =1.2×Q h In the formula: Q gbj Q represents the hourly conveying capacity of the scraper conveyor. h This refers to the amount of coal cut by the coal mining machine per hour. The conveying capacity of the fully mechanized scraper conveyor is: Q qgbj =1.2×Q h T=D y ×H d In the formula: Q qgbj Q represents the hourly conveying capacity of the front scraper conveyor. hgbj Q represents the hourly conveying capacity of the rear scraper conveyor. h γ is the hourly coal cutting rate of the coal mining machine; A is the annual output; γ is the gangue mixing rate; T m H represents the average thickness of the coal seam being mined. max K1 is the maximum coal cutting height of the coal mining machine; K2 is the production imbalance coefficient; T is the transportation surplus coefficient; D is the annual working time. y For the number of working days per year; H d 1. Daily working hours; μ is the coal discharge efficiency; The formula for calculating the operating resistance is: F g上 =L×(q m +G q ×g)×(1.08×0.42×cosθ g +sinθ g ) F g下 =L×(G q ×g)×(1.08×0.4×cosθ g -sinθ g ) In the formula: F g上 q represents the branch resistance of the scraper conveyor; L represents the working face length; m ρ is the linear density of the material; Q is the conveying capacity of the scraper conveyor; g is the acceleration due to gravity; v is the chain speed; θ g For the working face inclination angle; F g下 G represents the resistance of the lower branch of the scraper conveyor. q For chain weight; The formula for calculating the total power of the scraper conveyor is: P g总 =1.1×(P g上 +P g下 ) In the formula: P g上 η is the branch power of the scraper conveyor. c For transmission efficiency; P g下 P is the power of the lower branch of the scraper conveyor. g总 This represents the total power of the scraper conveyor.

6. The intelligent selection method for coal mining equipment based on multi-parameter coupling according to claim 1, characterized in that, The parameters of the transfer machine include the transfer machine's carrying capacity and total power, wherein: The transport capacity of the transshipment machine is: Comprehensive mining: Q zzj =Q gbj ×1.3 Comprehensive Release: Q zzj =(Q qgbj+ Q hgbj )×1.15 In the formula: Q zzj Q represents the hourly conveying capacity of the transfer machine. gbj Q represents the hourly transport capacity of the scraper conveyor. qgbj Q represents the hourly transport capacity of the front scraper conveyor. hgbj This refers to the hourly transport capacity of the rear scraper conveyor. The total power of the transfer machine is: P z总 =1.1×(P z上 +P z下 ) F z上 =L×(m+G q ’)×(1.08×0.42×cosθ z +sinθ z ) F z下 =L×m×(1.08×0.4×cosθ z -sinθ z ) In the formula: P z总 P represents the total power of the transfer machine. z上 P z下 These represent the power of the upper branch and the lower branch of the transfer machine, respectively; V is the chain speed of the transfer machine; F z上 For the branch running resistance on the transfer machine; F z下 The resistance of the lower branch of the transfer machine is L; the length of the working face is m; the mass of material per meter is G. q ' is the unit weight of the chain; θ z Q is the conveyor tilt angle; zzj ρ is the hourly conveying capacity of the transfer machine; g is the acceleration due to gravity.

7. The intelligent selection method for coal mining equipment based on multi-parameter coupling according to claim 1, characterized in that, The crusher parameters include the crusher's hourly processing capacity and total crusher power, wherein: The formula for calculating the hourly processing capacity of the crusher is as follows: Fully mechanized mining scenario: Q psj =Q zzj ×1.25 Integrated playback scenario: Q psj =Q zzj ×1.2 In the formula: Q psj Q represents the hourly processing capacity of the crusher. zzj This refers to the hourly conveying capacity of the transfer machine; The total power of the crusher is: In the formula: P is the total power of the crusher.

8. An intelligent selection system for coal mining equipment based on multi-parameter coupling, characterized in that, include: Data receiving module: used to receive mine geological parameters, mining technical parameters, and equipment-related parameters; Parameter calculation module: used to calculate support parameters and coal mining machine parameters based on mine geological parameters, mining technology parameters and equipment-related parameters; Calculate scraper conveyor parameters based on coal mining machine parameters; Calculate the parameters of the transfer machine based on the parameters of the scraper conveyor; Calculate crusher parameters based on transfer conveyor parameters; Matching and Selection Module: Matches the parameters of the support frame, coal mining machine, scraper conveyor, transfer conveyor, and crusher with the equipment database, filters out equipment models that meet the threshold range, and displays the selection results.

9. An intelligent selection device for coal mining equipment based on multi-parameter coupling, characterized in that, Including processor and storage media; The storage medium is used to store instructions; The processor is configured to operate according to the instructions to perform the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the program implements the steps of the method according to any one of claims 1 to 7.

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