Coking Coal Quality Evaluation Method, System, Equipment and Storage Medium

Abstract

The present invention provides a method, a system, a device and a storage medium for evaluating the quality of coking coal. Among them, the method for evaluating the quality of coking coal includes: determining a target supplier to be evaluated and key quality control indicators of coking coal among various suppliers; determining the evaluation period of the target supplier, the varieties of coking coal supplied, and the arrival batches of each variety of coking coal, and determining the number of spot checks and the spot-check quality indicators of the key quality control indicators in each batch of each variety of coking coal; determining the pass rate of the quality of single-variety coal according to the spot-check quality indicators, the index standards of the preset key quality indicators and the evaluation weights; determining the pass rate of the quality of the coking coal of the target supplier according to the pass rates of the quality of each single-variety coal of the target supplier. In this solution, the gap in the pass rate of the quality of the coking coal of each supplier can be intuitively known, so as to guide the procurement, increase the procurement volume of the coking coal from high-quality suppliers, and thus improve the procurement quality of coking coal.

Description

Technical Field

[0001] The present invention belongs to the field of metallurgy, and particularly relates to a method, a system, a device and a storage medium for evaluating the quality of coking coal. Background Art

[0002] Currently, there are many methods for evaluating the quality and cost performance of coking coal. The main evaluation method is to compare the measured values of indexes such as ash content, volatile matter, sulfur content, G value, and Y value of coking coal with the standard values or reference values, and evaluate according to the difference values. The evaluation results are mainly used to guide the procurement of coking coal. At the same time, some researchers incorporate the results of coking coal procurement and use into the evaluation to guide procurement. However, the current evaluation methods are not conducive to evaluating the supply quality of suppliers so as to guide procurement. Summary of the Invention

[0003] In view of the above-mentioned disadvantages of the prior art, the purpose of the present invention is to provide a method, a system, a device and a storage medium for evaluating the quality of coking coal to solve the above problems.

[0004] To achieve the above object and other related objects, the present invention provides a method for evaluating the quality of coking coal, including:

[0005] Determine the target suppliers to be evaluated and the key quality control indexes of coking coal among various suppliers;

[0006] Determine the evaluation period of the target suppliers, the varieties of coking coal supplied, and the arrival batches of each variety of coking coal, and determine the number of spot checks and the spot check quality indexes of the key quality control indexes of each variety of coking coal in each batch;

[0007] Determine the quality compliance rate of a single variety of coal according to the spot check quality indexes, the index standards of the preset key quality indexes, and the evaluation weights;

[0008] Determine the coking coal quality compliance rate of the target suppliers according to the quality compliance rates of each single variety of coal of the target suppliers.

[0009] Further, determining the quality compliance rate of a single variety of coal according to the spot check quality indexes, the index standards of the preset key quality indexes, and the evaluation weights includes:

[0010] Determine the qualified weight of the primary weight indexes among the key quality control indexes of a single variety of coal;

[0011] Determine the total bonus points of the quality compliance rate of the single variety of coal according to the qualified weight, the evaluation weight, and the total detected weight of each arrival batch of the same single variety of coal;

[0012] Determine the total deduction score of the quality compliance rate of single-variety coal according to the deduction standard of the secondary weight index among the key quality control indicators of single-variety coal; the primary weight index and the secondary weight index are determined according to the importance degree of the indicators and the number of spot checks. The importance degree of the secondary weight index is greater than that of the primary weight index, and the number of spot checks of the secondary weight index is less than that of the primary weight index;

[0013] Determine the quality compliance rate of the single-variety coal according to the total bonus score and the total deduction score.

[0014] Further, determining the total deduction score of the quality compliance rate of single-variety coal according to the deduction standard of the secondary weight index among the key quality control indicators of single-variety coal includes:

[0015] Determine the target batch among the arrival batches of the same single-variety coal;

[0016] Subtract the inspection quality index of the corresponding secondary weight index from the index standard of the secondary weight index in the target batch to obtain intermediate data;

[0017] If the intermediate data is less than or equal to the first preset value, the deduction score is 0;

[0018] If the intermediate data is greater than the first preset value and less than the second preset value, the deduction score is the first deduction score value; the second preset value is greater than the first preset value;

[0019] If the intermediate data is greater than or equal to the second preset value, the deduction score is the second deduction score value, and the second deduction score value is greater than the first deduction score value;

[0020] Determine the total deduction score according to each of the deduction scores.

[0021] Further, the calculation formula of the total deduction score is as follows:

[0022] P = e1×r1 + e2×r2

[0023] Where,

[0024] e1 is the first deduction score value;

[0025] r1 is the number of spot checks where the intermediate data is greater than the first preset value and less than the second preset value;

[0026] e2 is the second deduction score value;

[0027] r2 is the number of spot checks where the intermediate data is greater than or equal to the second preset value.

[0028] Further, determining the compliance weight of the primary weight index among the key quality control indicators of single-variety coal includes:

[0029] Compare the index standard of the primary weight index with the randomly inspected quality index to obtain a comparison result;

[0030] If the comparison result shows that the randomly inspected quality index meets the index standard, determine the weight of the coking coal in the randomly inspected batch as the qualified single-batch weight;

[0031] If the comparison result shows that the randomly inspected quality index does not meet the index standard, determine the weight of the coking coal in the randomly inspected batch as the unqualified weight;

[0032] Determine the qualified weight of the primary weight index among the key quality control indicators of the single-variety coal based on each qualified single-batch weight.

[0033] Furthermore, the calculation formula for the quality pass rate Q of the single-variety coal is as follows:

[0034] Q i = C - P

[0035]

[0036] Where,

[0037] i is the type label of the single-variety coking coal, and Qi is the quality pass rate of the single-variety coal of the i-th type of coking coal;

[0038] W Ad is the qualified weight of the single-variety coal for ash content Ad; Z Ad is the evaluation weight for ash content Ad;

[0039] W Vdaf is the qualified weight of the single-variety coal for volatile matter Vdaf; Z Vdaf is the evaluation weight for volatile matter Vdaf;

[0040] W St,d is the qualified weight of the single-variety coal for sulfur content St,d; Z St,d is the evaluation weight for sulfur content St,d;

[0041] W G is the qualified weight of the single-variety coal for caking index G; Z G is the evaluation weight for caking index G;

[0042] W Y is the qualified weight of the single-variety coal for plastic layer thickness Y; Z Y is the evaluation weight for plastic layer thickness Y;

[0043] Ws is the qualified weight of the single-variety coal for standard deviation S; Z S is the evaluation weight for standard deviation S;

[0044] T i is the total detected weight of each arrival batch of the i-th type of coking coal;

[0045] C is the total bonus points;

[0046] P is the total deduction points.

[0047] Furthermore, the calculation formula for the pass rate B of the coking coal quality of the supplier is as follows:

[0048]

[0049] T 总 = T1 + T2 + … + T i

[0050] where,

[0051] T 总 is the weight of all types of coking coal arrived by the same supplier within the same evaluation period.

[0052] The coking coal quality evaluation system provided by the present invention includes:

[0053] The first determination module is used to determine the target supplier to be evaluated and the key quality control indicators of the coking coal among each supplier;

[0054] The second determination module is used to determine the evaluation period of the target supplier, the types of coking coal supplied, and the arrival batches of each type of coking coal, and determine the number of spot checks and the spot check quality indicators of the key quality control indicators in each batch of each type of coking coal;

[0055] The first processing module is used to determine the pass rate of the single-type coal quality according to the spot check quality indicators, the indicator standards of the preset key quality indicators, and the evaluation weights;

[0056] The second processing module is used to determine the pass rate of the supplier's coking coal quality of the target supplier according to the pass rates of the single-type coal quality of the target supplier.

[0057] The electronic device provided by the present invention, the electronic device includes:

[0058] One or more processors;

[0059] The storage device is used to store one or more programs, when the one or more programs are executed by the one or more processors, the electronic device realizes the coking coal quality evaluation method.

[0060] The computer-readable storage medium provided by the present invention, on which a computer program is stored, when the computer program is executed by the processor of the computer, the computer executes the coking coal quality evaluation method.

[0061] As described above, the coking coal quality evaluation method, system, equipment, and storage medium of the present invention have the following beneficial effects:

[0062] In this solution, by calculating the compliance rate of the coking coal quality of each supplier, the gap in the compliance rate of the coking coal quality of each supplier can be intuitively known, so as to guide procurement, increase the procurement volume of coking coal from high-quality suppliers, and thus improve the procurement quality of coking coal. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 It is a flowchart of the coking coal quality evaluation method in an embodiment of the present invention.

[0064] Figure 2 It is a block diagram of the coking coal quality evaluation system in an embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0065] The following specific embodiments illustrate the implementation manners of the present invention. Those skilled in the art can easily understand the other advantages and effects of the present invention from the content disclosed in this specification.

[0066] As Figure 1 shown, in an exemplary embodiment of the present application, a coking coal quality evaluation method is provided, which at least includes steps S110 to S140.

[0067] Step S110, determining a target supplier to be evaluated and key quality control indicators of coking coal among each supplier;

[0068] Step S120, determining the evaluation period of the target supplier, the varieties of coking coal supplied, and the arrival batches of each variety of coking coal, and determining the number of spot checks and the spot check quality indicators of the key quality control indicators in each batch of each variety of coking coal;

[0069] Step S130, determining the compliance rate of the single-variety coal quality according to the spot check quality indicators, the indicator standards of the preset key quality indicators, and the evaluation weights;

[0070] Step S140, determining the compliance rate of the coking coal quality of the target supplier according to the compliance rates of the single-variety coal quality of the target supplier.

[0071] In this embodiment, by calculating the compliance rate of the coking coal quality of each supplier, the gap in the compliance rate of the coking coal quality of each supplier can be intuitively known, so as to guide procurement, increase the procurement volume of coking coal from high-quality suppliers, and thus improve the procurement quality of coking coal.

[0072] Exemplarily, when determining the compliance rate of a single variety of coal quality, the index standard can be determined according to the optimal index and the index floating value, and the index standard is equal to the optimal index plus the index floating range.

[0073] In an exemplary embodiment, the process of determining the compliance rate of a single variety of coal quality according to the index standard and the evaluation weight of the sampled quality index and the preset key quality index at least includes steps S210 to S240.

[0074] Step S210, determining the compliance weight of the first-level weight index among the key quality control indexes of the single variety of coal;

[0075] Step S220, determining the total bonus points of the compliance rate of the single variety of coal according to the compliance weight, the evaluation weight, and the total detected weight of each arrival batch of the same single variety of coal;

[0076] Step S230, determining the total deduction points of the compliance rate of the single variety of coal according to the deduction standard of the second-level weight index among the key quality control indexes of the single variety of coal; the first-level weight index and the second-level weight index are determined according to the index importance degree and the sampling times, the importance degree of the second-level weight index is greater than that of the first-level weight index, and the sampling times of the second-level weight index are less than those of the first-level weight index;

[0077] Step S240, determining the compliance rate of the single variety of coal according to the total bonus points and the total deduction points.

[0078] Exemplarily, the first-level weight indexes include ash content Ad, volatile matter Vdaf, sulfur content St,d, caking index G, plastic layer thickness Y, and standard deviation S. The second-level weight index includes hot strength CSR.

[0079] In this embodiment, the compliance rate of a single variety of coal is determined by the total bonus points and the total deduction points.

[0080] In an exemplary embodiment, the process of determining the total deduction points of the compliance rate of the single variety of coal according to the deduction standard of the second-level weight index among the key quality control indexes of the single variety of coal at least includes steps S310 to S360.

[0081] Step S310, determining the target batch among the arrival batches of the same single variety of coal;

[0082] Step S320, subtracting the index standard of the second-level weight index in the target batch from the sampled quality index of the corresponding second-level weight index to obtain intermediate data;

[0083] Step S330, if the intermediate data is less than or equal to the first preset value, the deduction points are 0;

[0084] Step S340, if the intermediate data is greater than the first preset value and less than the second preset value, the deduction score value is the first deduction score value; the second preset value is greater than the first preset value;

[0085] Step S350, if the intermediate data is greater than or equal to the second preset value, the deduction score value is the second deduction score value, and the second deduction score value is greater than the first deduction score value;

[0086] Step S360, determine the total deduction score value according to each of the deduction score values.

[0087] Exemplarily, the first preset value is 5, and the second preset value is 10. The first deduction score value is 5% / batch, and the second deduction score value is 10% / batch.

[0088] In an exemplary embodiment, the calculation formula of the total deduction score value is as follows:

[0089] P = e1×r1 + e2×r2

[0090] Wherein,

[0091] e1 is the first deduction score value;

[0092] r1 is the number of spot-check times when the intermediate data is greater than the first preset value and less than the second preset value;

[0093] e2 is the second deduction score value;

[0094] r2 is the number of spot-check times when the intermediate data is greater than or equal to the second preset value.

[0095] In an exemplary embodiment, the process of determining the qualified weight of the first-level weight index among the key quality control indexes of single-variety coal includes at least Step S410 to Step S430.

[0096] Step S410, compare the index standard of the first-level weight index with the spot-check quality index to obtain a comparison result;

[0097] Step S420, if the comparison result is that the spot-check quality index meets the index standard, determine the weight of coking coal in the spot-check batch as the qualified single-batch weight;

[0098] Step S430, if the comparison result is that the spot-check quality index does not meet the index standard, determine the weight of coking coal in the spot-check batch as the unqualified weight;

[0099] Step S440, determine the qualified weight of the first-level weight index among the key quality control indexes of single-variety coal according to each qualified single-batch weight.

[0100] Exemplarily, for the single-variety coal of Variety A, the number of arriving batches is 5 batches. Among them, for the key quality index ash content, only the spot-check quality index of the first batch does not meet the index standard. Then, the qualified weight of the ash content is the sum of the qualified single-batch weights of the second batch to the fifth batch.

[0101] In an exemplary embodiment, the calculation formula for the qualified rate Q of the single-variety coal is as follows:

[0102] Q i = C - P

[0103]

[0104] Wherein,

[0105] i is the type label of the single-variety coking coal, and Qi is the qualified rate of the single-variety coal of the i-th type of coking coal;

[0106] W Ad is the qualified weight of the single-variety coal for the ash content Ad; Z Ad is the evaluation weight for the ash content Ad;

[0107] W Vdaf is the qualified weight of the single-variety coal for the volatile matter Vdaf; Z Vdaf is the evaluation weight for the volatile matter Vdaf;

[0108] W St,d is the qualified weight of the single-variety coal for the sulfur content St,d; Z St,d is the evaluation weight for the sulfur content St,d;

[0109] W G is the qualified weight of the single-variety coal for the caking index G; Z G is the evaluation weight for the caking index G;

[0110] W Y is the qualified weight of the single-variety coal for the plastic layer thickness Y; Z Y is the evaluation weight for the plastic layer thickness Y;

[0111] Ws is the qualified weight of the single-variety coal for the standard deviation S; Z S is the evaluation weight for the standard deviation S;

[0112] T i is the total detected weight of each arriving batch of the i-th type of coking coal;

[0113] C is the total bonus points;

[0114] P is the total deduction points.

[0115] In this embodiment, the calculation of the qualified rate Q of the single-variety coal is realized through the above formula.

[0116] In an exemplary embodiment, the calculation formula for the compliance rate B of the supplier's coking coal quality is as follows:

[0117]

[0118] T 总 = T1 + T2 + … + T i

[0119] T 总 is the weight of all varieties of coking coal arrived by the same supplier within the same evaluation period.

[0120] Exemplarily, the target supplier is Supplier A. Supplier A supplies two single-variety coals, No. 1 coking coal and No. 2 coking coal, within the evaluation period. Among them, No. 1 coking coal arrives in 5 batches, and No. 2 coking coal arrives in 2 batches. For No. 1 coking coal, the CSR of the single-variety coal heat strength is randomly inspected for 1 batch (since the required period is long during the random inspection of the CSR of the heat strength, but the importance of this index is high, so a small number of random inspections are carried out). The randomly inspected CSR of the heat strength is 59%. No. 2 coking coal is not randomly inspected for the CSR of the small coke oven heat strength. The specific random inspection quality indexes of other coals are shown in Table 1. The best indexes of the key quality control indexes of each coking coal are shown in Table 2. The index standards of the key quality control indexes of each coking coal are shown in Table 3. The evaluation weights of each key quality control index are shown in Table 4.

[0121] Table 1 Statistical table of randomly inspected quality indexes of No. 1 coking coal and No. 2 coking coal

[0122]

[0123] Table 2 Statistical table of the best indexes of the key quality control indexes of coking coal

[0124]

[0125] Table 3 Statistical table of the standard of each key control index of coking coal

[0126]

[0127] In addition, for No. 1 coking coal, when the intermediate data (65 - randomly inspected quality index of CSR) ≤ 5 (the first preset value), the single-variety compliance rate is deducted by 0; when 5 (the first preset value) < the intermediate data (65 - randomly inspected quality index of CSR) < 10 (the second preset value), the single-variety compliance rate is deducted by 5% / batch (the first deduction value); when the intermediate data (65 - randomly inspected quality index of CSR) ≥ 10 (the second preset value), the single-variety compliance rate is deducted by 10% / batch (the second deduction value).

[0128] For No. 2 coking coal, the intermediate data (70 - CSR random inspection quality index) ≤ 5 (the first preset value), and the single - variety compliance rate deduction is 0; when 5 (the first preset value) < intermediate data (70 - CSR random inspection quality index) < 10 (the second preset value), the single - variety compliance rate is deducted by 5% / batch (the first deduction value); when the intermediate data (70 - CSR random inspection quality index) ≥ 10 (the second preset value), the single - variety compliance rate is deducted by 10% / batch (the second deduction value).

[0129] Table 4 Evaluation Weight Table of Key Quality Control Indicators for Coking Coal

[0130] Major types of coking coal Evaluation items Ad St,d Vdaf G Y Standard deviation S Coking coal Index weight, % 20 20 10 10 10 30

[0131] 1. Calculate the compliance rate of the quality of single - variety coking coal

[0132] First, calculate the compliance weight W of the quality of single - variety coal. The calculation is as follows:

[0133] The compliance weight W of single - variety coal for ash content Ad Ad = 401.64 tons + 3212.1 tons + 3168.24 tons + 386.52 tons = 7168.5 tons.

[0134] The compliance weight W of single - variety coal for volatile matter Vdaf Vdaf = 3209.04 tons + 401.64 tons + 3212.1 tons + 3168.24 tons + 386.52 tons = 10377.54 tons.

[0135] The compliance weight W of single - variety coal for sulfur content St,d St,d = 3209.04 tons + 3212.1 tons + 3168.24 tons + 386.52 tons = 9975.9 tons.

[0136] Similarly, the compliance weight W of single - variety coal for caking index G G , the compliance weight W of plastic layer thickness Y , and the compliance weight Ws of standard deviation S are all 10377.54 tons.

[0137] For No. 1 coking coal, the hot strength of single - variety coal coke was randomly inspected in 1 batch, and the hot strength CSR in the random inspection quality index was 59%, which did not meet the key control index standard. The index standard of the hot strength CSR of No. 1 coking coal is 65%. CSR intermediate data = CSR index standard - CSR random inspection quality = 65 - 59 = 6. Since 5 (the first preset value) < 6 (intermediate data) < 10 (the second preset value), the deduction value P of the single - variety quality compliance rate of No. 1 coking coal is 5% / batch. Among them, the index standard is the best index plus the index floating value, and the specific index floating value is shown in Table 5.

[0138] Table 5 Statistical Table of Index Floating Values

[0139] Composition Ad / % St.d / % Vdaf / % G Y / mm Standard deviation S Thermal strength CSR Floating range +0.3 +0.05 0 -2 -2 +0.03 0

[0140] Therefore, according to the calculation formula of the single - variety coal quality compliance rate, the single - variety coal quality compliance rate Q1 of No. 1 coking coal can be calculated as Q1 = [(7168.5 tons * 20% + 10377.54 tons * 10% + 9975.9 tons * 20% + 10377.54 tons * 10% + 10377.54 tons * 10% + 10377.54 tons * 30%) / 10377.54 tons] - 5% = 88.04%.

[0141] Similarly, for No. 2 coking coal, it reached 2 batches within the evaluation period, with a total of 5267.68 tons. The single - variety coking coal quality compliance rate Q2 of No. 2 coking coal is 57.98%.

[0142] 2. Calculate the coking coal quality compliance rate of Supplier A

[0143] According to the calculation formula of the supplier's coking coal quality compliance rate, the coking coal quality compliance rate B of Supplier A can be calculated as B = (88.04% * 10377.54 tons + 57.98% * 5267.68 tons) / (10377.54 tons + 5267.68 tons) = 77.92%.

[0144] 3. Sort the coking coal quality compliance rates of each supplier to obtain the evaluation results.

[0145] In this embodiment, by sorting the coking coal quality compliance rates of suppliers, the quality advantages and disadvantages of each coking coal entering the factory can be intuitively known. Evaluate the varieties that do not meet the requirements, and require the suppliers to improve the quality to ensure the stability of the incoming coal quality. For the varieties with a relatively low single - variety coal quality compliance rate, measures such as reducing the purchase quantity and suspending the purchase can be taken to punish and evaluate the suppliers. When the number of coking coal varieties supplied by a supplier is large, by carrying out the evaluation and sorting of the coking coal quality compliance rate with the supplier as the evaluation dimension, the overall quality of the coking coal supplied by different suppliers can be intuitively known, which is conducive to the scientific evaluation of suppliers in a data - based manner.

[0146] In summary, starting from the quality control standards of different coking coal varieties, this solution sets the index standards for different key quality indicators and the evaluation weights for different key quality indicators according to the characteristics of different quality indicators, and develops a targeted evaluation method in combination with the detection frequency of key quality indicators. Among them, all evaluations are carried out for the key quality control indicators detected batch by batch, and the key quality control indicators not detected in some batches are evaluated in the form of default compliance without detection. For the very important key quality control indicators with few detection times, the overall quality compliance rate is deducted according to the number of batches with unqualified detection results in each batch. At the same time, the quality compliance rate of single-variety coal is evaluated, and the quality of coking coal is evaluated from multiple dimensions such as suppliers and major categories of coking coal varieties, which is beneficial to guiding the quality control of coking coal, the quality evaluation of coking coal, and guiding the procurement of coking coal.

[0147] It should be understood that the order of the numbers of the steps in the above embodiments does not mean the order of execution. The order of execution of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0148] As Figure 2 shown, the present application also provides a coking coal quality evaluation system, including:

[0149] A first determination module 210, configured to determine a target supplier to be evaluated and key quality control indicators of coking coal among each supplier;

[0150] A second determination module 220, configured to determine the evaluation period of the target supplier, the coking coal varieties supplied, and the arrival batches of each variety of coking coal, and determine the number of spot checks and the spot check quality indicators of the key quality control indicators of each variety of coking coal in each batch;

[0151] A first processing module 230, configured to determine the quality compliance rate of single-variety coal according to the spot check quality indicators, the preset index standards of key quality indicators, and the evaluation weights;

[0152] A second processing module 240, configured to determine the coking coal quality compliance rate of the target supplier according to the quality compliance rates of each single-variety coal of the target supplier.

[0153] It should be noted that the coking coal quality evaluation system provided in the above embodiments belongs to the same concept as the coking coal quality evaluation method provided in the above embodiments. The specific manners in which each module and unit perform operations have been described in detail in the method embodiments, and will not be repeated here. In actual application, the coking coal quality evaluation system provided in the above embodiments can, according to needs, allocate the above functions to different functional modules, that is, divide the internal structure of the system into different functional modules to complete all or part of the functions described above. This is not limited here either.

[0154] The electronic device provided by the present invention, the electronic device includes:

[0155] One or more processors;

[0156] A storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, enabling the electronic device to implement the coking coal quality evaluation method described above.

[0157] The computer-readable storage medium provided by the present invention, on which a computer program is stored, when the computer program is executed by a processor of a computer, enabling the computer to execute the coking coal quality evaluation method described above.

[0158] The above embodiments merely illustrate the principles and effects of the present invention, rather than limiting the present invention. Any person familiar with this technology can modify or change the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or changes completed by those with ordinary knowledge in the technical field without departing from the spirit and technical ideas disclosed by the present invention should still be covered by the claims of the present invention.

Claims

1. A method for evaluating the quality of coking coal, characterized in that, Including: Determine the target suppliers to be evaluated and the key quality control indicators of coking coal among various suppliers; Determine the evaluation cycle of the target suppliers, the varieties of coking coal supplied, and the arrival batches of each variety of coking coal, and determine the number of spot checks and the spot check quality indicators of the key quality control indicators in each batch of each variety of coking coal; Determine the pass rate of single-variety coal quality according to the spot check quality indicators, the indicator standards of the preset key quality indicators, and the evaluation weights; Determine the pass rate of the coking coal quality of the target suppliers according to the pass rates of the single-variety coal quality of the target suppliers; Wherein, Determine the pass rate of single-variety coal quality according to the spot check quality indicators, the indicator standards of the preset key quality indicators, and the evaluation weights, including: Determine the qualified weight of the first-level weight indicators among the key quality control indicators of the single-variety coal; Determine the total bonus points of the pass rate of the single-variety coal quality according to the qualified weight, the evaluation weight, and the total detected weight of each arrival batch of the same single-variety coal; Determine the total deduction points of the pass rate of the single-variety coal quality according to the deduction standard of the second-level weight indicators among the key quality control indicators of the single-variety coal; the first-level weight indicators and the second-level weight indicators are determined according to the importance degree of the indicators and the number of spot checks, the importance degree of the second-level weight indicators is greater than that of the first-level weight indicators, and the number of spot checks of the second-level weight indicators is less than that of the first-level weight indicators; Determine the pass rate of the single-variety coal quality according to the total bonus points and the total deduction points; Determine the total deduction points of the pass rate of the single-variety coal quality according to the deduction standard of the second-level weight indicators among the key quality control indicators of the single-variety coal, including: Determine the target batches among the arrival batches of the same single-variety coal; Subtract the spot check quality indicator of the corresponding second-level weight indicator from the indicator standard of the second-level weight indicator in the target batch to obtain intermediate data; If the intermediate data is less than or equal to the first preset value, the deduction points are 0; If the intermediate data is greater than the first preset value and less than the second preset value, the deduction points are the first deduction value; the second preset value is greater than the first preset value; If the intermediate data is greater than or equal to the second preset value, the deduction points are the second deduction value, and the second deduction value is greater than the first deduction value; Determine the total deduction points according to each of the deduction points; The calculation formula of the total deduction points is as follows: Wherein, e1 is the first deduction value; r1 is the number of spot checks where the intermediate data is greater than the first preset value and less than the second preset value; e2 is the second deduction value; r2 is the number of spot checks where the intermediate data is greater than or equal to the second preset value; The calculation formula of the pass rate Q of the single-variety coal quality is as follows: Wherein, i is the type label of the single-variety coking coal, and Qi is the pass rate of the single-variety coal quality of the i-th type of coking coal; WAd is the qualified weight of the single-variety coal for ash content Ad; ZAd is the evaluation weight for ash content Ad; WVdaf is the qualified weight of the single-variety coal for volatile matter Vdaf; ZVdaf is the evaluation weight for volatile matter Vdaf; WSt,d is the qualified weight of a single variety of coal with sulfur content St,d; ZSt,d is the evaluation weight of sulfur content St,d; WG is the qualified weight of a single variety of coal with caking index G; ZG is the evaluation weight of caking index G; WY is the qualified weight of a single variety of coal with plastic layer thickness Y; ZY is the evaluation weight of plastic layer thickness Y; Ws is the qualified weight of a single variety of coal with standard deviation S; ZS is the evaluation weight of standard deviation S; Ti is the total detected weight of each arrival batch of the i-th type of coking coal; C is the total bonus score; P is the total deduction score.

2. The coking coal quality evaluation method according to claim 1, characterized in that Determine the qualified weight of the primary weight index among the key quality control indicators of a single variety of coal, including: Compare the index standard of the primary weight index with the randomly inspected quality index to obtain a comparison result; If the comparison result shows that the randomly inspected quality index meets the index standard, determine the weight of the coking coal in the randomly inspected batch as the qualified single-batch weight; If the comparison result shows that the randomly inspected quality index does not meet the index standard, determine the weight of the coking coal in the randomly inspected batch as the unqualified weight; Determine the qualified weight of the primary weight index among the key quality control indicators of a single variety of coal according to the qualified single-batch weights.

3. The coking coal quality evaluation method according to claim 2, characterized in that The calculation formula for the qualified rate B of the supplier's coking coal quality is as follows: Wherein, T 总 It is the weight of all coking coal varieties arrived by the same supplier within the same evaluation period.

4. A coking coal quality evaluation system, characterized in that, Applied to the coking coal quality evaluation method described in any one of claims 1 to 3, the system includes: The first determination module is used to determine the target supplier to be evaluated and the key quality control indicators of the coking coal among each supplier; The second determination module is used to determine the evaluation period of the target supplier, the varieties of coking coal supplied, and the arrival batches of each variety of coking coal, and determine the number of random inspections and the randomly inspected quality indicators of the key quality control indicators in each batch of each variety of coking coal; The first processing module is used to determine the qualified rate of a single variety of coal quality according to the randomly inspected quality indicators, the index standards of the preset key quality indicators, and the evaluation weights; The second processing module is used to determine the qualified rate of the supplier's coking coal quality of the target supplier according to the qualified rates of each single variety of coal quality of the target supplier.

5. A device, characterized in that, Including: One or more processors and memories, The memory stores a computer program, and when the one or more processors execute the computer program, the device executes the method described in any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that, Stored thereon is a computer program, which when executed by one or more processors, causes the device to execute the method described in any one of claims 1 to 3.

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