A coal resource allocation calculation model and calculation method

Abstract

This invention discloses a coal resource allocation calculation model and method in the field of coal resource planning and allocation, aiming to solve the technical problems of inaccurate coal resource allocation calculation, poor coordination, low matching efficiency, and lagging revenue accounting in existing coal resource allocation calculations. The model achieves accurate calculation of the raw coal allocation and washing decision-making module for the Dingwugeng coal group, the allocation module for coal from the four major coal preparation plants, and the production-sales coordination and dynamic optimization module. Combined with data acquisition and preprocessing, dynamic ratio adjustment, vector matching, and profit calculation algorithms, it realizes accurate calculation of the raw coal washing volume and thermal coal allocation volume for the Dingwugeng coal group, the coal allocation volume for the four major coal preparation plants, and the coal supply matching volume between the mine and the coal preparation plant. This invention reduces the calculation error by more than 30%, increases resource utilization by 15%-20%, and improves economic benefits by 10%-15%, making it suitable for refined and dynamic resource allocation and production decision-making in coal enterprises.

Description

Technical Field

[0001] This invention relates to the field of coal resource planning and allocation, specifically a coal resource allocation calculation model and calculation method. Background Technology

[0002] In the coal production industry, the rational allocation of raw coal is a crucial factor affecting the economic benefits and resource utilization rate of enterprises. Currently, coal enterprises mainly rely on manual experience to allocate raw coal from the Dingwugeng and Jigeng groups, which presents several technical challenges.

[0003] 1) Inaccurate allocation logic: The existing allocation method has not established a systematic mathematical model, and cannot dynamically adjust the raw coal allocation based on the fluctuation of coal and power market prices and the ratio requirements of different refined coal products (such as the ratio of Dingwu coal to Geng and Ji coal in the No. 2 mine). This can easily lead to deviations in the calculation of the total amount of Dingwu coal washed and the amount of coal used for power generation, affecting the accuracy of production plans.

[0004] 2) Poor coordination across multiple stages: The allocation of raw coal involves multiple stages, including "mine-coal washing plant-refined coal products". For example, the No. 1 mine's Dingwu coal group only produces 1 / 3 coking coal refined coal No. 2 at the No. 1 mine's coal washing plant, and the No. 8 mine's Wu coal group only produces fat coal refined coal No. 1 at the No. 8 mine's coal washing plant. Such special scenarios are not included in the unified calculation system, resulting in data fragmentation at each stage and making it impossible to achieve coordinated allocation of resources throughout the entire process.

[0005] 3) Low matching efficiency between coal preparation plants and mines: The allocation of raw coal of batch 1 to the four coal preparation plants (Tianhong, Qixing, No. 8 Mine, and Tianzhuang), as well as the selection of mine sources for raw coal of batch 1 to each coal preparation plant, rely on manual selection by coal blending experts. The matching relationship is not quantified through mathematical vectors and logical formulas, which easily leads to insufficient supply of raw coal to coal preparation plants or unsold raw coal in mines. Moreover, the calculation of allocation is easily affected by subjective factors and lacks objectivity and traceability.

[0006] 4) Lagging revenue and cost accounting: The existing method cannot dynamically calculate profits in real time based on data such as the unit price of refined coal, raw coal processing costs, and revenue from power coal, combined with the allocation volume, which makes it impossible for enterprises to adjust their allocation strategies in a timely manner to maximize economic benefits.

[0007] Currently available technologies lack a mathematical model that can cover the entire process of "Dingwugeng group raw coal allocation - Ji group raw coal inter-coal preparation plant allocation - Ji group raw coal inter-mine allocation," and that incorporates market prices, product ratios, and special production rules (such as dedicated coal washing plants for specific mines). This makes it difficult to meet the refined and dynamic resource allocation needs of coal enterprises. Therefore, those skilled in the art provide a coal resource allocation calculation model and method to address the problems mentioned in the background. Summary of the Invention

[0008] The purpose of this invention is to provide a coal resource allocation calculation model and method to solve the problems mentioned in the background art.

[0009] To achieve the above objectives, the present invention provides the following technical solution:

[0010] A coal resource allocation calculation model and method includes a raw coal allocation and washing decision module for the Dingwugeng coal group, a coal allocation module for the Ji coal group, and a production and sales coordination and dynamic optimization module. The three modules share data and work collaboratively.

[0011] The raw coal allocation and washing decision module of the Dingwugeng Formation is used to collect the raw coal production of the Dingwugeng Formation. Data on coal prices, demand and unit price of refined coal products, and coal production data of the Geng group in the No. 2 mine were used to dynamically adjust the ratio of refined coal products after excluding the raw coal produced exclusively by the mine. The total amount of Dingwu group coal to be washed, the amount of thermal coal allocated, and the corresponding revenue and costs were calculated by using the yield function f, g and the profit formula.

[0012] The coal allocation module is used to collect data on the coal washing plant's capacity, refined coal production process requirements, planned sales volume D and unit price, and the coal production of each mine. By setting a proportional coefficient With yield function Calculate the coal allocation amount of each coal washing plant and select vectors. With the distribution vector Establish supply matching relationships between mines and coal washing plants;

[0013] The production and sales coordination and dynamic optimization module is used to configure basic parameters and dictionary data, monitor raw coal production, coal washing and processing, and production and sales coordination data in real time, dynamically adjust the allocation plan according to changes in market and production data, and update the revenue and cost accounting results.

[0014] As a further aspect of the present invention: the exclusively produced raw coal includes the Dingwu group coal from Mine No. 1, which produces 1 / 3 coking coal concentrate No. 2 only at a designated coal washing plant, and the Wu group coal from Mine No. 8, which produces fat coal concentrate No. 1 only at a designated coal washing plant. Neither of these coals participates in inter-plant or inter-mine allocation. The total amount of Dingwugeng group raw coal that can participate in allocation is... .

[0015] As a further aspect of the present invention, the adjustment rules for the refined coal product ratio of the Dingwugeng group raw coal allocation and washing decision module are as follows:

[0016] When the price of thermal coal is high and the output of Geng group coal from No. 2 Mine is sufficient, the No. 2 coking coal uses a blend of 60% Dingwu group coal and 40% Geng group coal from No. 2 Mine, while the No. 3 coking coal uses a blend of 30% Dingwu group coal and 70% Geng group coal from No. 2 Mine.

[0017] When the output of Gengzu coal in the No. 2 mine is insufficient, the highest proportion of it in No. 2 and No. 3 coking coal and fine coal shall be adjusted according to its actual output.

[0018] When the price of thermal coal is low, the No. 2 coking coal uses a blend of 70% Dingwu group coal and 30% Erkuang Geng group coal, while the No. 3 coking coal uses a blend of 40% Dingwu group coal and 60% Erkuang Geng group coal.

[0019] The No. 2 coking coal (1 / 3 coking coal) is made up of 60% of the Dingwu group coal and 40% of the Ji group coal.

[0020] As a further aspect of the present invention, the yield function and constraints of the raw coal allocation and washing decision module of the Dingwugeng group are as follows:

[0021] ;

[0022] ;

[0023] ;

[0024] ;

[0025] ;

[0026] ;

[0027] in, Let be the yield function from raw coal to refined coal. For the production of refined coal, This is the proportionality coefficient.

[0028] As a further aspect of the present invention: the proportional coefficient of the coal distribution module. The rule is set as follows: Based on the coal washing plant's product production plan, a corresponding proportion coefficient for each type of refined coal product is assigned, and the sum of all proportion coefficients is 1. .

[0029] As a further aspect of the present invention, the yield function and constraints of the coal allocation module are as follows:

[0030] ;

[0031] ;

[0032] ;

[0033] ;

[0034] ;

[0035] Where D represents the planned sales volume of refined coal, and C represents the actual output of refined coal.

[0036] As a further aspect of the present invention: the selection vector The value can be 0 or 1, where i is the name of the coal washing plant and j is the name of the mine. 1 indicates that the mine and the coal washing plant have a confirmed supply relationship, and 0 indicates that it is not confirmed; allocation vector. This indicates the allocation ratio from each mine to the corresponding coal washing plant. If there is a 1 in it, then ,like If there is no 1 in the middle, then .

[0037] As a further aspect of the present invention: the profit calculation formula of the raw coal allocation and washing decision module of the Dingwugeng group is as follows:

[0038]

[0039] in, ,

[0040] ,

[0041] The processing cost of the raw coal required to produce each refined coal product.

[0042] 9. The coal resource allocation calculation model according to claim 1, characterized in that the profit calculation formula of the coal allocation module is:

[0043]

[0044] in, ,

[0045] The processing cost of the raw coal required for each refined coal product.

[0046] A method for calculating a coal resource allocation model includes the following steps:

[0047] S1: Data Acquisition and Preprocessing: Acquiring raw coal production data from the Dingwugeng group. Group I raw coal production Based on fundamental data such as the price of thermal coal, demand and unit price of refined coal products, coal washing plant capacity, and process requirements, and excluding raw coal produced exclusively for coal washing, the total amount of raw coal eligible for allocation is determined. ;

[0048] S2: Calculation of raw coal allocation for Dingwugen group: Adjust the ratio of clean coal according to the price of thermal coal and the coal output of Geng group in No. 2 mine, calculate the total amount of washed coal and the allocation of thermal coal by combining the yield function f, g and the constraint conditions, and determine the optimal scheme through the profit formula;

[0049] S3: Allocation of coal to each coal washing plant: Set the proportion coefficient x for each coal washing plant, and calculate the allocation of coal to each coal washing plant by combining the planned sales volume D and the yield function f, and verify whether the output of clean coal meets the constraints.

[0050] S4: Mine-Coal Washing Plant Matching Calculation: By Selecting Vectors Identify cooperative relationships, combined with allocation vectors Coal production of the mine ,pass Determine the actual supply quantity for each mine;

[0051] S5: Production and Sales Coordination Adjustment: Configure system parameters, monitor production, washing and screening, and production and sales data in real time. When market or production data changes, the adjustment plan of each module is re-triggered and the profit calculation results are updated.

[0052] S6: Output Results: Output allocation data, profit data, and matching relationships to generate an allocation plan report.

[0053] Compared with the prior art, the beneficial effects of the present invention are:

[0054] 1. Improved accuracy of calculations: By establishing a quantitative mathematical model, coal and electricity prices, refined coal ratios, and special production rules (such as dedicated coal washing plants for specific mines) are transformed into calculable parameters and formulas, reducing the calculation error of raw coal washing volume of Groups D, E, and G, coal consumption for power generation, and cross-plant / cross-mine allocation of Group F coal by more than 30%, thus avoiding deviations caused by human experience.

[0055] 2. Enhanced dynamic adaptability: Model 1 can adjust the ratio of No. 2 and No. 3 coking coal and coking coal in real time according to the fluctuation of thermal coal price. Models 2 and 3 can dynamically update the allocation based on the planned sales volume of coking coal and the matching relationship between the mine and the coal washing plant specified by the coal blending expert, so as to meet the rapid changes in market and production demand.

[0056] 3. Full-process collaborative optimization: Covering the entire process of "mine raw coal production - coal washing plant product production - revenue and cost accounting", breaking down data silos in each link, realizing the full-chain collaborative allocation of raw coal from mines to coal washing plants and from raw materials to products for Dingwugeng and Ji groups, improving resource utilization rate by 15%-20%.

[0057] 4. Enhanced decision support capabilities: The model can output core indicators such as clean coal revenue, thermal coal revenue, and profit in real time, providing enterprises with data-driven production decision-making basis and helping them choose the optimal allocation strategy under different market conditions, thereby improving economic efficiency by 10%-15%. Attached Figure Description

[0058] Figure 1 This is a business process diagram of the present invention;

[0059] Figure 2 This is the algorithm association diagram of the present invention;

[0060] Figure 3 This is a diagram of the mining operations of the present invention. Detailed Implementation

[0061] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0062] Please see Figures 1-3 In this embodiment of the invention, a coal resource allocation calculation model and method are provided:

[0063] Model 1: Calculate how much raw coal and thermal coal from the Dingwugeng group will be allocated for washing.

[0064] The raw coal production of the Dingwugeng group was obtained from each mine, and then the total raw coal production of the Dingwugeng group was obtained. Based on the coal and power market price, the allocation of thermal coal is determined. It is known that only Dingwu coal can be used as power coal. Dingwu coal is used to produce No. 2 coking coal, No. 3 coking coal, No. 2 / 3 coking coal, and No. 3 / 3 coking coal. No. 2 coking coal is produced by Dingwu coal (60%-70%) and Geng coal (30%-40%) from the Second Mine. No. 3 coking coal is produced by Dingwu coal (30%-40%) and Geng coal (60%-70%) from the Second Mine. No. 2 / 3 coking coal is produced by Dingwu coal (60%) and Ji coal (40%). When the price of thermal coal is high and the output of the Geng group of the Second Mine is sufficient, No. 2 coking coal is produced by a combination of Dingwu group (60%) and the Geng group of the Second Mine (40%), and No. 3 coking coal is produced by a combination of Dingwu group (30%) and the Geng group of the Second Mine (70%). If the output of the Geng group of the Second Mine is insufficient, the maximum ratio of the Geng group of the Second Mine will be given according to the actual situation. When the price of thermal coal is low, No. 2 coking coal is produced by a combination of Dingwu group (70%) and the Geng group of the Second Mine (30%), and No. 3 coking coal is produced by a combination of Dingwu group (40%) and the Geng group of the Second Mine (60%). Combining the demand for No. 2 coking coal, No. 3 coking coal, and 1 / 3 coking coal, the total amount of Dingwu group coal washed can be determined, and then the amount of thermal coal used can be calculated. The revenue from thermal coal is recorded as follows. The No. 1 mine's Dingwu coal is only used in the No. 1 mine's coal washing plant and only produces 1 / 3 of the coking coal (No. 2 grade). The No. 8 mine's Wu coal is only used in the No. 8 mine's coal washing plant to produce fat coal (No. 1 grade). They do not participate in the allocation of coal from the coal washing plant or the mine. Therefore, the total output of the Dingwugeng coal is... Subtracting the coal production from Group D and Group E of Mine No. 1 and Mine No. 8, the raw coal quantity of Group D, Group E and Group G is then obtained as follows: .

[0065] Assume the proportion of Dingwu coal group allocated to Tianhong Coal Preparation Plant for the production of No. 2 coking coal is... The proportion of Dingwu coal group allocated to Tianhong Coal Preparation Plant for the production of No. 3 coking coal is: The proportion coefficient of group D coal used to produce No. 3 coking coal (1 / 3 coking coal concentrate) is: The proportion of coal allocated to Tianhong Coal Preparation Plant for producing 1 / 3 coking coal (No. 3 group coal) is [missing information]. The proportion coefficient of Group D coal used for power generation is: This represents the yield function from raw coal to refined coal. The yield function representing the conversion from raw coal to gangue. Indicates the yield of a certain type of coal. To indicate the output of gangue:

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[0072] The unit price of clean coal is known, and the revenue from clean coal can be calculated based on the output. The revenue from coal for power generation is recorded as The processing cost can be calculated based on the amount of raw coal required to produce refined coal. To then determine the profit

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[0085] II. Model 2: Calculate the allocation of coal already grouped in the four major coal-selecting plants.

[0086] The allocation of pre-mixed coal from four major coal preparation plants—Tianhong Coal Preparation Plant, Qixing Coal Preparation Plant, Bakuang Coal Preparation Plant, and Tianzhuang Coal Preparation Plant—was calculated. It was assumed that the proportion allocated to Tianhong Coal Preparation Plant for producing 1 / 3 coking coal concentrate (No. 3 pre-mixed coal) was [missing information]. The proportion of coking coal allocated to Tianhong Coal Preparation Plant for the production of No. 2 coking coal is: The proportion of coal allocated to the Qixing Coal Preparation Plant is [missing information]. Assume that the proportions of the coal allocated to the No. 8 coal preparation plant for the production of coking coal No. 1, coking coal No. 2, and coking coal No. 3 are respectively calculated as follows: , , Assume the proportions of the coal allocated to the Tianzhuang coal preparation plant for the production of coking coal No. 1, coking coal No. 2, and coking coal No. 3 are respectively: , , . This represents the yield function from raw coal to refined coal. The yield function representing the conversion from raw coal to gangue. Indicates the yield of a certain type of coal. To indicate the output of gangue:

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[0103] This yields the following information regarding the refined coal products and output of Tianhong Coal Washing Plant: The refined coal products and output of Qixing Coal Preparation Plant are as follows: The clean coal products and output of the No. 8 Coal Preparation Plant are as follows: , , The refined coal products and output of Tianzhuang Coal Preparation Plant are as follows: , , The relevant personnel responsible for the planned sales volume should fill in the following information: , , , , , , .

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[0118] The allocated amount of coal already grouped at Tianhong Coal Washing Plant is The allocation amount of coal already prepared at Qixing Coal Preparation Plant is... The allocation amount of coal from the No. 8 Coal Preparation Plant is... The allocated amount for Group 1 at Tianzhuang Coal Preparation Plant is... .

[0119] The unit price of each type of refined coal is known, and the revenue from the refined coal can be calculated based on the output. The revenue from coal for power generation is recorded as The processing cost can be calculated based on the amount of raw coal required for each refined coal product. To then determine the profit .but:

[0120]

[0121] Model 3: Calculating how much of the coal from each mine's own coal batch should be allocated to the coal washing plant.

[0122] Assume that the coal source for the four coal preparation plants is all mines, and the specific source of raw coal for the four coal preparation plants is arbitrarily selected by the coal blending experts from all mines.

[0123] The washing volume of coal from each mine group is as follows:

[0124] , , , , , , , , , , .

[0125] The amount of coal from the Tianhong Coal Washing Plant that has been washed is: The amount of coal from the Qixing Coal Washing Plant that has been washed is... The amount of coal from the No. 8 Coal Washing Plant that is washed is... The amount of coal from the Tianzhuang coal washing plant that has been processed is... .

[0126] Assume the chosen vector is , Refers to the name of the coal washing plant and the name of the mine. The value is 0 or 1, depending on which mine's raw coal a coal preparation plant uses. The value is 1 for those not selected and 0 for those not selected.

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[0136] like ,like ,

[0137] The amount of coal washed by Zetianhong Coal Washing Plant is:

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[0142] Abbreviation but

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[0147] =

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[0149] The overall formula for Model 3 is:

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[0178] like

[0179] Match verification: Satisfied Each coal washing plant has met its coal consumption requirements, and there is no waste of mine resources.

[0180] Implementation results:

[0181] Test metrics This invention Traditional manual allocation Measurement error (%) 4.2 38.5 Resource utilization rate (%) 95.3 77.8 Time taken (in hours) for a single batch 0.5 8.2 Economic efficiency improved (%) 12.8 - Match satisfaction (%) 98.5 71.3

[0182] Through quantitative calculation and vector matching, the precise allocation of raw coal from the Dingwugeng group and the Ji group was achieved, with the calculation error controlled within 5%. The resource utilization rate and economic benefits were significantly improved, fully meeting the refined and dynamic resource allocation needs of coal enterprises.

[0183] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A coal resource allocation calculation model, characterized in that, It includes the raw coal allocation and washing decision module for the Dingwugeng group, the coal allocation module for the Ji group, and the production and sales coordination and dynamic optimization module. The three modules share data and work collaboratively. The raw coal allocation and washing decision module of the Dingwugeng Formation is used to collect the raw coal production of the Dingwugeng Formation. Data on coal prices, demand and unit price of refined coal products, and coal production data of the Geng group in the No. 2 mine were used to dynamically adjust the ratio of refined coal products after excluding the raw coal produced exclusively by the mine. The total amount of Dingwu group coal to be washed, the amount of thermal coal allocated, and the corresponding revenue and costs were calculated by using the yield function f, g and the profit formula. The coal allocation module is used to collect data on the coal washing plant's capacity, refined coal production process requirements, planned sales volume D and unit price, and the coal production of each mine. By setting a proportional coefficient With yield function Calculate the coal allocation amount of each coal washing plant and select vectors. With the distribution vector Establish supply matching relationships between mines and coal washing plants; The production and sales coordination and dynamic optimization module is used to configure basic parameters and dictionary data, monitor raw coal production, coal washing and processing, and production and sales coordination data in real time, dynamically adjust the allocation plan according to changes in market and production data, and update the revenue and cost accounting results.

2. The coal resource allocation calculation model according to claim 1, characterized in that, The raw coal produced exclusively includes the Dingwu group coal from Mine No. 1, which produces 1 / 3 coking coal concentrate No. 2 only at the designated coal washing plant, and the Wu group coal from Mine No. 8, which produces fat coal concentrate No. 1 only at the designated coal washing plant. Neither of these coals participates in inter-plant or inter-mine allocation. The total amount of Dingwugeng group raw coal available for allocation is... .

3. The coal resource allocation calculation model according to claim 1, characterized in that, The rules for adjusting the proportion of refined coal products in the raw coal allocation and washing decision module of the Dingwugeng group are as follows: When the price of thermal coal is high and the output of Geng group coal from No. 2 Mine is sufficient, the No. 2 coking coal uses a blend of 60% Dingwu group coal and 40% Geng group coal from No. 2 Mine, while the No. 3 coking coal uses a blend of 30% Dingwu group coal and 70% Geng group coal from No. 2 Mine. When the output of Gengzu coal in the No. 2 mine is insufficient, the highest proportion of it in No. 2 and No. 3 coking coal and fine coal shall be adjusted according to its actual output. When the price of thermal coal is low, the No. 2 coking coal uses a blend of 70% Dingwu group coal and 30% Erkuang Geng group coal, while the No. 3 coking coal uses a blend of 40% Dingwu group coal and 60% Erkuang Geng group coal. The No. 2 coking coal (1 / 3 coking coal) is made up of 60% of the Dingwu group coal and 40% of the Ji group coal.

4. The coal resource allocation calculation model according to claim 1, characterized in that, The yield function and constraints of the raw coal allocation and washing decision module for the Dingwugeng group are as follows: ； ； ； ； ； ； in, Let be the yield function from raw coal to refined coal. For the production of refined coal, This is the proportionality coefficient.

5. The coal resource allocation calculation model according to claim 1, characterized in that, The proportional coefficient of the coal distribution module The rule is set as follows: Based on the coal washing plant's product production plan, a corresponding proportion coefficient for each type of refined coal product is assigned, and the sum of all proportion coefficients is 1. .

6. The coal resource allocation calculation model according to claim 1, characterized in that, The yield function and constraints of the coal allocation module are as follows: ； ； ； ； ； Where D represents the planned sales volume of refined coal, and C represents the actual output of refined coal.

7. The coal resource allocation calculation model according to claim 1, characterized in that, The selection vector The value can be 0 or 1, where i is the name of the coal washing plant and j is the name of the mine. 1 indicates that the mine and the coal washing plant have a confirmed supply relationship, and 0 indicates that it is not confirmed; allocation vector. This indicates the allocation ratio from each mine to the corresponding coal washing plant. If there is a 1 in it, then ,like If there is no 1 in the middle, then .

8. The coal resource allocation calculation model according to claim 1, characterized in that, The profit calculation formula for the raw coal allocation and washing decision module of the Dingwugeng group is as follows: in, , ， The processing cost of the raw coal required to produce each refined coal product.

9. The coal resource allocation calculation model according to claim 1, characterized in that, The profit calculation formula for the coal allocation module is as follows: in, , The processing cost of the raw coal required for each refined coal product.

10. A method for calculating coal resource allocation based on any one of the models described in claims 1-9, characterized in that, Includes the following steps: S1: Data Acquisition and Preprocessing: Acquiring raw coal production data from the Dingwugeng group. Group I raw coal production Based on fundamental data such as the price of thermal coal, demand and unit price of refined coal products, coal washing plant capacity, and process requirements, and excluding raw coal produced exclusively for coal washing, the total amount of raw coal eligible for allocation is determined. ; S2: Calculation of raw coal allocation for Dingwugen group: Adjust the ratio of clean coal according to the price of thermal coal and the coal output of Geng group in No. 2 mine, calculate the total amount of washed coal and the allocation of thermal coal by combining the yield function f, g and the constraint conditions, and determine the optimal scheme through the profit formula; S3: Allocation of coal to each coal washing plant: Set the proportion coefficient x for each coal washing plant, and calculate the allocation of coal to each coal washing plant by combining the planned sales volume D and the yield function f, and verify whether the output of clean coal meets the constraints. S4: Mine-Coal Washing Plant Matching Calculation: By Selecting Vectors Identify cooperative relationships, combined with allocation vectors Coal production of the mine ,pass Determine the actual supply quantity for each mine; S5: Production and Sales Coordination Adjustment: Configure system parameters, monitor production, washing and screening, and production and sales data in real time. When market or production data changes, the adjustment plan of each module is re-triggered and the profit calculation results are updated. S6: Output Results: Output allocation data, profit data, and matching relationships to generate an allocation plan report.

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