Coking coal quality index over-standard rate automatic statistical method and system

Abstract

The invention relates to a coking coal quality index over-standard rate automatic statistical method and system, and belongs to the technical field of coking coal. The method comprises the steps of inputting or modifying a coking coal standard, displaying a standard corresponding to a purchase order, setting a standard breadth range, calculating a quality over-standard rate, querying the over-standard rate in real time and the like. The system is composed of a coking coal quality standard input module, a coking coal quality standard display module, a standard width limit setting module, a quality over-standard rate calculation module and a quality over-standard rate query module. The coking coal standard during order creation is tracked and matched through the order number for evaluation, and it is ensured that the evaluation standard is accurate and reliable. Standard breadth setting is innovatively introduced, the evaluation dimension is widened, and management flexibility is provided. Meanwhile, the automatic statistical system improves the working efficiency and ensures the data accuracy. The method and the system are beneficial to scientific decision making of enterprises, optimization of resource allocation, reduction of production risk and cost, and improvement of coking coal quality and industrial sustainable development capability.

Description

Technical Field

[0001] The present invention belongs to the technical field of coking coal, and relates to a method and system for automatically counting the over-standard rate of coking coal quality indexes. Background Art

[0002] As an indispensable core raw material for the steel industry, the quality of coking coal is directly related to the quality of coke, the efficiency of blast furnace smelting, and the performance of the final steel products. Driven by the dual factors of the global energy structure transformation and the high-quality development of the steel industry, the importance of coking coal quality evaluation has become increasingly prominent. On the one hand, with the increasingly strict environmental protection regulations, steel enterprises need to optimize the raw material structure and improve the smelting technology to reduce energy consumption and emissions, and high-quality coking coal is the key to achieving this goal. On the other hand, the scarcity and uneven distribution of coking coal resources have prompted enterprises to pay more attention to the rational utilization and efficient allocation of resources, and quality evaluation has become an important basis for screening high-quality resources and guiding procurement and production decisions. Therefore, establishing a scientific and comprehensive coking coal quality evaluation system is of great significance for ensuring the stable operation of the steel industry chain and promoting the sustainable development of the industry.

[0003] Currently, the quality evaluation of coking coal mainly relies on a series of national standards or industry standards, and comprehensive analysis is carried out through multi-dimensional indexes. These indexes include, but are not limited to, ash content, sulfur content, volatile matter, caking property (such as the thickness of the plastic layer, Roga index), coking property, etc. Each index is set with a corresponding threshold range as the basis for judging the quality grade of coking coal. During the evaluation process, laboratory analysis, industrial tests, or a combination of both are usually used to accurately measure coking coal samples, and the final evaluation results are obtained by methods such as weighted average and comprehensive scoring based on the comparison of the measured values and standard values of each index. In addition, with the progress of technology, some advanced detection technologies such as near-infrared spectroscopy analysis and X-ray fluorescence spectroscopy analysis have also been gradually applied to the quality evaluation of coking coal, improving the accuracy and efficiency of the evaluation.

[0004] Although the existing coking coal quality evaluation methods can meet the industry requirements to a certain extent, there are still obvious deficiencies. The primary problem is that the existing evaluation system mainly focuses on whether coking coal meets the established standards, and lacks in-depth consideration of the breadth and depth of its exceeding the standards. For example, for some coking coal with key indexes slightly better than the standards, its performance advantages in the actual smelting process may far from be fully explored and utilized. Secondly, the update of coking coal standards lags behind the industry's technological progress and market demand changes, resulting in the disconnection between the evaluation standards and actual production requirements. When new smelting technologies or environmental protection requirements emerge, the original standards may not be able to timely reflect the new requirements for coking coal quality, thereby affecting the rationality and effectiveness of the evaluation results. Summary of the Invention

[0005] In view of this, the purpose of the present invention is to provide an automatic statistical method and system for the over-standard rate of coking coal quality indicators, which are evaluated through the coking coal order matching standard, so as to ensure the situation of inaccurate coking coal quality evaluation when the coking coal standard changes and different coking coal standards arrive simultaneously.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] An automatic statistical method for the over-standard rate of coking coal quality indicators, the method comprising the following steps:

[0008] S1. Enter or modify the coking coal standard through the coking coal quality standard entry module, and the purchaser purchases according to the current coking coal quality standard when formulating the purchase order;

[0009] S2. Display the information of the orders that have taken effect in the purchase through the coking coal standard display module, and the displayed information tracks the coking coal standard with the purchase order as the dimension, and uses the coking coal standard that has taken effect in the purchase order as the inspection standard;

[0010] S3. Establish a qualified range and an over-standard range through the standard tolerance setting module, and an additional standard tolerance range is set for the over-standard range, and the standard tolerance range includes a first tolerance range, a second tolerance range, and a severely over-limit range;

[0011] S4. Determine the corresponding proportion of coking coal under different standard tolerance ranges according to the quality index and weight index of the actual test results through the quality standard over-standard rate calculation module, and solve the coking coal quality over-standard rate based on this;

[0012] S5. Transmit the solved coking coal quality over-standard rate result to the quality over-standard rate query module for storage, and query the over-standard rate situation in real time through the quality over-standard rate query module.

[0013] Further, in step S1, establish a total table of coking coal index standards through the coking coal quality standard entry module to add or modify the coking coal standard. Among them, in the total table of coking coal quality standards added or modified, it at least includes the coking coal purchase code, coking coal name, and each index standard. The coking coal name includes the major category name and the middle category name; the indexes include ash content Ad, volatile matter Vdaf, sulfur content St,d, caking index G, plastic layer thickness Y, standard deviation S, and thermal strength CSR; the purchase code corresponds to different material names, so as to set different standard thresholds T x , where the subscript x = {Ad Vdaf St,d G Y S CSR}, when x takes different values, it represents different standard thresholds, including: ash standard threshold T Ad 、volatile matter standard threshold T Vdaf 、sulfur content standard threshold T St,d 、caking index standard threshold TG , the standard threshold T of the plastic layer thickness Y , the standard threshold T of the standard deviation S , the standard threshold T of the thermal strength CSR .

[0014] Furthermore, in step S2, the coking coal standard display module displays the coking coal standards corresponding to different orders. The coking coal standard display module tracks the coking coal standards with the purchase order as the dimension. The same coking coal purchase code and purchase name can correspond to different order numbers, and different order numbers can correspond to different coking coal standards. Moreover, the coking coal standard corresponding to each order number is consistent with the coking coal standard when formulating the purchase order.

[0015] Furthermore, in step S3, for each index, it includes at least a qualified range and an over-standard range. Among them, the qualified range of each index means that the quality inspection result of the corresponding index is within the set standard threshold T x within the defined range, and the over-standard range of each index means that the quality inspection result of the corresponding index is outside the set standard threshold T x outside the defined range; among them, each index is marked with "x,≤" or "x,≥". "x,≤" indicates that the qualified range of this index means that the quality inspection result does not exceed the standard threshold T x , that is, [0, T x , then its over-standard range means that the quality inspection result exceeds the standard threshold T x , that is, (T x , 100]; "x,≥" indicates that the qualified range of this index means that the quality inspection result is not lower than the standard threshold T x , that is, [T x , 100], then its over-standard range means that the quality inspection result is lower than the standard threshold T x , that is, [0, T x ).

[0016] Furthermore, the over-standard range sets the first tolerance range, the second tolerance range, and the serious over-limit range; the first tolerance range means that when exceeding or being lower than the standard threshold T x but the amplitude of exceeding or being lower is within the first amplitude inside, that is or or represents the first tolerance threshold; the second tolerance range means that when exceeding or being lower than the first tolerance threshold but the amplitude of exceeding or being lower is within the second amplitude inside, that is or or represents the second tolerance threshold; the serious over-limit range means that when exceeding or being lower than the second tolerance threshold range, that is or

[0017] Further, in step S4, the quality standard overrun rate calculation module calculates the overrun rates under different standards and standard tolerance ranges based on the coking coal quality standard table at the time corresponding to the coking coal order number, in combination with the specific standards and standard tolerance ranges set by the standard tolerance setting module; the specific process is as follows:

[0018] Obtain the arriving weight M of the purchased materials of a certain order number. For each index x i , respectively, according to the weight of the test results belonging to the overrun range Thus, calculate the preliminary overrun rate of index x i

[0019]

[0020] Then, the overall index preliminary overrun rate P0 of the purchased materials of this order number is expressed as:

[0021]

[0022] In the formula, N represents the number of index x i ;

[0023] Then, judge the weight of the test results of each index x i in the first tolerance range the weight in the second tolerance range and the weight in the severely overrun range Thus, obtain the corresponding overrun rates of each index x i in different tolerance ranges:

[0024]

[0025] In the formula, P1, P2, and P3 are the overrun rates of the purchased materials of this order number in the first tolerance range, the second tolerance range, and the severely overrun range, respectively;

[0026] The calculation of the final overall overrun rate combines the severity of different overrun ranges, introduces weight coefficients to solve the final overall overrun rate P total :

[0027] P total = k1·P1 + k2·P2 + k3·P3

[0028] Among them, k1, k2, and k3 respectively correspond to the influence degrees of the first tolerance range, the second tolerance range, and the severely overrun range, and they satisfy k1 < k2 < k3.

[0029] ​Further, in step S5, the quality standard over - standard rate calculation module sends the calculated over - standard rate results to the quality over - standard rate query module, including the final overall over - standard rate P total and the over - standard rates P1, P2, P3 corresponding to different grace periods; through the quality over - standard rate query module, it is possible to query the quality over - standard rate situation at different times, different standard grace periods, different purchase names, and different suppliers.

[0030] On the other hand, a system for automatically calculating the over - standard rate of coking coal quality indicators as described above is also proposed, which is characterized in that: the system includes a coking coal quality standard input module, a coking coal standard display module, a standard grace period setting module, a quality over - standard rate calculation module, and a quality over - standard rate query module; where

[0031] The coking coal quality standard input module is used to input or modify the coking coal standard, and the purchaser purchases according to the current coking coal quality standard when formulating a purchase order;

[0032] The coking coal standard display module is used to display information about the orders that have taken effect for procurement, and at the same time track the coking coal standard with the purchase order as the dimension;

[0033] The standard grace period setting module is used to establish standard grace period ranges with different amplitudes, where the standard grace period range includes at least a first grace period range, a second grace period range, and a serious over - limit range;

[0034] The quality over - standard rate calculation module determines the corresponding proportions of coking coal under different standard grace period ranges according to the quality indicators and weight indicators of the actual test results, and based on this, solves the coking coal quality over - standard rate;

[0035] The quality over - standard rate query module is used to store the solved coking coal quality over - standard rate results and can query the over - standard rate situation in real - time. It can query the quality over - standard rate situation according to different times, different standard grace period ranges, different purchase names, and different suppliers.

[0036] An apparatus is also proposed, including: one or more processors and a memory, and a computer program is stored on the memory. When one or more processors execute the computer program, the apparatus executes the method described above.

[0037] A computer - readable storage medium is also proposed, on which a computer program is stored. When executed by one or more processors, the apparatus executes the method described above.

[0038] The beneficial effects of the present invention are as follows:

[0039] First, by constructing an automated statistical system, the present invention achieves accurate and efficient calculation of the over-standard rates of various quality indicators of coking coal. The present invention not only greatly reduces the workload of manual statistics, improves work efficiency, but also ensures the accuracy and reliability of statistical results. By mastering the quality status of coking coal in real time and accurately, more scientific procurement decisions and production arrangements can be made, effectively avoiding production delays and cost waste caused by unqualified quality.

[0040] Secondly, the present invention evaluates through the coking coal order matching standard, ensuring the precise fit of the evaluation standard with the actual procurement order. This approach effectively avoids inaccurate evaluation caused by lagging or disjointed standards, and improves the practicality and effectiveness of evaluation results. At the same time, the system also supports real-time query of the over-standard rates of quality under different times, different standard tolerance ranges, different procurement names and suppliers, providing users with a comprehensive and multi-angle quality management perspective.

[0041] In addition, the present invention innovatively introduces a standard tolerance setting module, allowing re-evaluation after reasonably relaxing the quality indicators of coking coal. This design not only broadens the evaluation dimension, making the evaluation results more comprehensive and in-depth, but also provides users with more management flexibility. Users can flexibly adjust the evaluation standard according to actual production needs and changes in industry standards, ensuring that the evaluation results are closer to reality and providing more targeted guidance for quality improvement.

[0042] Other advantages, objectives and features of the present invention will be described to some extent in the subsequent specification, and to some extent, will be obvious to those skilled in the art based on the study of the following text, or can be taught from the practice of the present invention. The objectives and other advantages of the present invention can be realized and obtained through the following specification. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be described in detail preferably with reference to the accompanying drawings, where:

[0044] Figure 1 [[ID=IS]]It is a schematic flow chart of a method for automatically counting the over-standard rate of coking coal quality indicators according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0045] The following describes the implementation manners of the present invention through specific examples. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation manners. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the drawings provided in the following embodiments only schematically illustrate the basic concept of the present invention. Without conflict, the following embodiments and the features in the embodiments can be combined with each other.

[0046] Among them, the drawings are only for illustrative purposes, showing only schematic diagrams, rather than physical diagrams, and should not be construed as a limitation to the present invention; in order to better illustrate the embodiments of the present invention, some components in the drawings will be omitted, enlarged or reduced, which does not represent the size of the actual product; for those skilled in the art, it is understandable that some well-known structures and their descriptions in the drawings may be omitted.

[0047] In the drawings of the embodiments of the present invention, the same or similar reference numerals correspond to the same or similar components; in the description of the present invention, it should be understood that if there are terms such as "upper", "lower", "left", "right", "front", "rear", etc. indicating the orientation or positional relationship, they are based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, the terms describing the positional relationship in the drawings are only for illustrative purposes and should not be construed as a limitation to the present invention. For those of ordinary skill in the art, the specific meanings of the above terms can be understood according to specific circumstances.

[0048] Please refer to Figure 1 , which is an automatic statistical method and system for the over-standard rate of coking coal quality indicators.

[0049] Embodiment 1

[0050] This embodiment first describes the specific process of an automatic statistical method for the over-standard rate of coking coal quality indicators. As Figure 1 shown, it mainly includes the following steps:

[0051] S1. Enter or modify the coking coal standard through the coking coal quality standard entry module. When formulating a purchase order, the purchaser purchases according to the current coking coal quality standard.

[0052] S2. Display the information of the orders that have taken effect in the purchase through the coking coal standard display module, and at the same time track the coking coal standard with the purchase order as the dimension.

[0053] S3. Establish a qualified range and an out-of-standard range through the standard grace period setting module. An additional standard grace period range is set for the out-of-standard range, and the standard grace period range includes a first grace period range, a second grace period range, and a severely over-limit range.

[0054] S4. Through the coking coal quality standard over-standard rate calculation module, determine the corresponding proportion of coking coal under different standard grace period ranges according to the quality index and weight index of the actual test results, and solve the coking coal quality over-standard rate based on this.

[0055] S5. Transmit the obtained coking coal quality over-standard rate result to the quality over-standard rate query module for storage, and query the over-standard rate situation in real time through the quality over-standard rate query module.

[0056] In step S1 of this embodiment, establish a total table of coking coal index standards through the coking coal quality standard input module to add or modify coking coal standards. Among them, in the newly added or modified total table of coking coal quality standards, it at least includes the coking coal purchase code, coking coal name, and each index standard. The coking coal name includes the major category name and the middle category name; the indexes include ash content Ad, volatile matter Vdaf, sulfur content St,d, caking index G, plastic layer thickness Y, standard deviation S, and thermal strength CSR; the purchase code corresponds to different material names, so as to set different standard thresholds T x , where the subscript x = {Ad Vdaf St,d G Y S CSR}, when x takes different values, it represents different standard thresholds, including: ash content standard threshold T Ad 、volatile matter standard threshold T Vdaf 、sulfur content standard threshold T St,d 、caking index standard threshold T G 、plastic layer thickness standard threshold T Y 、standard deviation standard threshold T S 、thermal strength standard threshold T [[ID=2x]] CSR .

[0057] In this embodiment, a total table of coking coal quality standards shown in Table 1 is given, which at least includes the coking coal purchase code, coking coal name, and each index standard:

[0058] Table 1

[0059]

[0060]

[0061] The coking coal name includes the major category name and the middle category name, and the indexes include " Ad％，≤ ", " St,d％，≤ ", " G，≥”, among which, the major category names at least include coking coal, gas coal, lean coal, etc., and the medium category names include 1# low-sulfur coking coal, 1# medium-sulfur coking coal, etc. A d ％，≤ ” refers to the ash content, which means the less the ash content, the better. St, d ％，≤ ” refers to the sulfur content, which means the less the sulfur content, the better. G，≥ ” refers to the caking index, which means the higher the caking index, the better. The purchase code corresponds to different material names, so different standard thresholds T are set. x For different standard parameters, different standard thresholds are set, including the ash standard threshold T Ad , the sulfur standard threshold T St,d and the caking index standard threshold T G . In this embodiment, for example, for the low-sulfur coking coal with the purchase code A001 and the purchase name coking coal 001, the ash standard threshold T Ad of its ash content Ad% is set to 10.0. The purchased materials with an ash content higher than 10.0 do not meet the ash standard, and the purchased materials not exceeding 10.0 meet the ash standard. The sulfur standard threshold T St,d of its sulfur content St,d% is set to 0.80. The purchased materials with a sulfur content higher than 0.80 do not meet the sulfur standard, and the materials not higher than 0.80 meet the sulfur standard. The caking index standard threshold T G of its caking index G is set to 80. The purchased materials with a caking index lower than 80 do not meet the caking index standard, and the purchased materials not lower than 80 meet the caking index standard.

[0062] In step S2 of this embodiment, the coking coal standard display module displays the coking coal standards corresponding to different orders. The coking coal standard display module tracks the coking coal standards with the purchase order as the dimension. The same coking coal purchase code and purchase name can correspond to different order numbers, and different order numbers can correspond to different coking coal standards, and the coking coal standard corresponding to each order number is consistent with the coking coal standard when formulating the purchase order.

[0063] This module tracks the coking coal standards with the purchase order as the dimension. Under normal circumstances, the coking coal standards are tracked with the purchase code (purchase name) as the dimension. The same coking coal purchase code and purchase name can correspond to different order numbers, and different order numbers can correspond to different coking coal standards. Therefore, tracking the coking coal standards with the order number as the dimension can ensure more accurate subsequent evaluation of coking coal.

[0064] In step S3 of this embodiment, for each index, it at least includes a qualified range and an over-standard range. Among them, the qualified range of each index means that the quality inspection result of the corresponding index is within the set standard threshold T xWithin the defined range, the exceeded range of each index means that the quality inspection result of the corresponding index is outside the set standard threshold T x ; among them, each index is marked with "x,≤" or "x,≥", and "x,≤" indicates that the qualified range of this index means that the quality inspection result does not exceed the standard threshold T x , that is, [0,T x , then its exceeded range means that the quality inspection result exceeds the standard threshold T x , that is, (T x ,100]; "x,≥" indicates that the qualified range of this index means that the quality inspection result is not lower than the standard threshold T x , that is, [T x ,100], then its exceeded range means that the quality inspection result is lower than the standard threshold T x , that is, [0,T x ).

[0065] Furthermore, the exceeded range is set with a first tolerance range, a second tolerance range, and a severe overlimit range; the first tolerance range means that it exceeds or is lower than the standard threshold T x but the exceeding or lower amplitude is within the first amplitude , that is or or represents the first tolerance threshold; the second tolerance range means that it exceeds or is lower than the first tolerance threshold but the exceeding or lower amplitude is within the second amplitude , that is or or represents the second tolerance threshold; the severe overlimit range means that it exceeds or is lower than the second tolerance threshold range, that is or <>

[0066] More specifically, in this embodiment, for the ash standard, its corresponding first ash tolerance range is set The second ash tolerance range and the ash severe overlimit range For the sulfur content standard, its corresponding first sulfur content tolerance range is set The second sulfur content tolerance range and the sulfur content severe overlimit range For the caking index standard, its corresponding first caking index tolerance range is set The second caking index tolerance range and the caking index severe overlimit range Different subscripts "Ad", "St,d", "G" correspond to the threshold or tolerance threshold of different indexes.

[0067] In this embodiment, different grace periods are set according to the different degrees to which the coking coal fails to meet the standards, as shown in Table 2 specifically:

[0068] Table 2

[0069]

[0070] As shown in the above table, in this embodiment, the first ash content grace threshold is set to 0.2, and the second ash content grace threshold is set to 0.5. The first sulfur content grace threshold is set to 0.05, and the second sulfur content grace threshold is set to 0.10. The first caking index grace threshold is set to 3, and the second caking index grace threshold is set to 5.

[0071] In step S4 of this embodiment, the quality standard overrun rate calculation module calculates the overrun rate under different standards and standard grace periods based on the coking coal quality standard table at the time corresponding to the coking coal order number, in combination with the specific standards and standard grace periods set by the standard grace period setting module; the specific process is as follows:

[0072] Obtain the arrival weight M of the purchased materials for a certain order number. For each index x i , respectively, according to the weight of the test results belonging to the overrun range Thus, calculate the preliminary overrun rate of index x i

[0073]

[0074] Then the overall index preliminary overrun rate P0 of the purchased materials for this order number is expressed as:

[0075]

[0076] In the formula, N represents the number of index x i .

[0077] Then, judge the weight of the test results of each index x i in the first grace period range the weight in the second grace period range and the weight in the severely overrun range Thus, obtain the corresponding overrun rates of each index x i in different grace period ranges:

[0078] ​

[0079] In the formula, P1, P2, and P3 are respectively the over-standard rates of the purchased materials of this order number within the first grace range, the second grace range, and the severely over-limit range;

[0080] The calculation of the final overall over-standard rate combines the severity of different over-standard ranges, introduces weight coefficients to solve the final overall over-standard rate P total :

[0081] P total = k1·P1 + k2·P2 + k3·P3

[0082] Among them, k1, k2, and k3 respectively correspond to the influence degrees of the first grace range, the second grace range, and the severely over-limit range, and they satisfy k1 < k2 < k3.

[0083] In step S5 of this embodiment, the quality standard over-standard rate calculation module sends the calculated over-standard rate results to the quality over-standard rate query module, including the final overall over-standard rate P total and the over-standard rates P1, P2, and P3 corresponding to different grace ranges; through the quality over-standard rate query module, it is possible to query the quality over-standard rate situations at different times, different standard grace ranges, different purchase names, and different suppliers.

[0084] Embodiment 2

[0085] Based on an automatic statistical method for the over-standard rate of coking coal quality indicators proposed in Embodiment 1, this embodiment establishes an automatic statistical system for the over-standard rate of coking coal quality indicators, which includes a coking coal quality standard input module, a coking coal standard display module, a standard grace setting module, a quality over-standard rate calculation module, and a quality over-standard rate query module; among them,

[0086] The coking coal quality standard input module is used to input or modify the coking coal standard, and the purchaser purchases according to the current coking coal quality standard when formulating a purchase order;

[0087] The coking coal standard display module is used to display information about the orders that have taken effect for procurement, and at the same time track the coking coal standard with the purchase order as the dimension;

[0088] The standard grace setting module is used to establish standard grace ranges with different amplitudes, where the standard grace range at least includes the first grace range, the second grace range, and the severely over-limit range;

[0089] The quality over-standard rate calculation module determines the corresponding proportions of coking coal under different standard grace ranges according to the quality indicators and weight indicators of the actual test results, and based on this, solves the coking coal quality over-standard rate;

[0090] The quality over-standard rate query module is used to store the results of the calculated coking coal quality over-standard rate and can query the over-standard rate situation in real time. It can query the quality over-standard rate according to different times, different standard tolerance ranges, different procurement names, and different suppliers.

[0091] Therefore, this embodiment also gives an example for the specific calculation process.

[0092] Example 1:

[0093] Suppose the general coking coal standard table on January 1, 2025 is as shown in Table 1. According to this standard, a purchase order for gas coal 040 with a purchase code of A040 is formulated. Then, the coking coal standard for gas coal 040 (purchase code A040) in Table 1 is matched. Suppose the order number is DD0001. After the purchase order DD0001 is executed, information such as the purchase order and its quality standards is transmitted to the coking coal standard display module. See Table 3 for details.

[0094] Table 3

[0095] Order Number Major Category Name Medium Category Name Purchase Code Purchase Name Ad%, ≤ St,d%, ≤ G，≥ DD0001 Gas Coal Gas Coal A040 Gas Coal 040 9.0 0.7 60

[0096] The purchased goods of order DD0001 arrive at the factory for sampling and testing. It corresponds to 6 batches, namely ZPT20250103001, ZPT20250103002, ZPT20250108001, ZPT20250108002, ZPT20250122001, and ZPT20250122002. The test results of the incoming weight, quality, etc. of the 6 batches are shown in Table 4.

[0097] Table 4

[0098] Order Number Batch Number Weight, tons Purchase Code Purchase Name Ad% St,d% G DD0001 ZPT20250103001 1000 A040 Gas Coal 040 8.61 0.71 63 DD0001 ZPT20250103002 1500 A040 Gas Coal 040 8.99 0.65 65 DD0001 ZPT20250108001 2000 A040 Gas Coal 040 9.03 0.66 54 DD0001 ZPT20250108002 2500 A040 Gas Coal 040 8.87 0.58 67 DD0001 ZPT20250122001 1400 A040 Gas Coal 040 9.22 0.81 59 DD0001 ZPT20250122002 1600 A040 Gas Coal 040 8.88 0.73 58

[0099] Combined with the coking coal tolerance range setting in Table 2, the non-compliance amplitude of order number DD0001 (gas coal 040) is shown in Table 5:

[0100] Table 5

[0101]

[0102] Combined with Table 4 and Table 5, it can be seen that the arrival weight of DD0001 is 10,000 tons. The batches with the ash content index not meeting the standard are ZPT20250108001 and ZPT20250122001. Among them, the batch within the first tolerance range is ZPT20250108001, with a corresponding weight of 2,000 tons; the batch within the second tolerance range is ZPT20250122001, with a corresponding weight of 1,400 tons. Similarly, the weights of other indicators under different tolerance ranges can be known, as shown in Table 6 for details.

[0103] Table 6

[0104] Different Tolerance Ranges Weight Corresponding to Ad, tons Weight Corresponding to St.d, tons Weight Corresponding to G, tons Below Standard 3400 4000 5000 First Tolerance Range 2000 2600 3000 Second Tolerance Range 1400 / / Severely Exceeded Range / 1400 2000

[0105] The total amount of DD0001 arriving at the factory is 10,000 tons, of which the total amount of Ad not meeting the standard is 3,400 tons. Therefore, the non-compliance rate of Ad = 3400 / 10000 * 100% = 34%. Similarly, the non-compliance rates of other indicators can be calculated, as shown in Table 7 for details.

[0106] Table 7

[0107] Different Tolerance Ranges Over-standard Rate Corresponding to Ad, % Over-standard Rate Corresponding to St.d, % Over-standard Rate Corresponding to G, % Below Standard 34 40 50 First Tolerance Range 20 26 30 Second Tolerance Range 14 / / Severely Exceeded Range / 14 20

[0108] As can be seen from Table 7, the over-standard rate of DD0001 (coking coal 040) = (34% + 40% + 50%) / 3 = 41.3%. Similarly, it can be calculated that:

[0109] The proportion within the first grace period = (20% + 26% + 30%) / 3 = 25.3%

[0110] The proportion within the second grace period = 14% / 3 = 4.7%

[0111] The proportion within the severely over-limit range = (14% + 20%) / 3 = 11.3%

[0112] Assuming that k1, k2, and k3 are 0.2, 0.3, and 0.5 respectively according to the degree of influence

[0113] Then the overall over-standard rate is: 25.3% * 0.2 + 4.7% * 0.3 + 11.3% * 0.5 = 12.12%.

[0114] Example 2:

[0115] Assume that the total table of coking coal standards on January 1, 2025 is Table 1. Then, for coking coal 040 (purchase code A040), a purchase order is formulated, and the coking coal standards for coking coal 040 (purchase code A040) in Table 1 are matched. Assume that the order number is DD0001. After the execution of the purchase order DD0001, the information such as the purchase order and its quality standards is transmitted to the coking coal standard display module. See Table 3 for details. Assume that the supplier feedbacks that due to the change in the coal seam, the quality of coking coal 040 cannot meet the original standard requirements, and the standard is revised on January 20, 2025. The revised standard is shown in Table 8.

[0116] Table 8

[0117]

[0118]

[0119] After the standard is revised, the purchaser issues the purchase order DD0011, which matches the new standard. The order information corresponding to DD0011 is shown in Table 9 Table 9

[0120] Order Number Major Category Name Medium Category Name Purchase Code Purchase Name Ad%, ≤ St,d%, ≤ G，≥ DD0011 Gas Coal Gas Coal A040 Gas Coal 040 9.1 0.75 55

[0121] Combined with the setting of the non-compliance range of coking coal in Table 2, the non-compliance range of order number DD0011 (gas coal 040) is shown in Table 10.

[0122] Table 10

[0123]

[0124] For the procurement of order DD0001 to the factory for sampling and testing, there are 6 corresponding batches, namely ZPT20250103001, ZPT20250103002, ZPT20250108001, ZPT20250108002, ZPT20250122001, and ZPT20250122002. Information such as the incoming weight and quality of the 6 batches is shown in Table 4.

[0125] There are 4 batches of DD0011 purchased and arrived at the factory, namely ZPT20250122011, ZPT20250122012, ZPT20250128001, and ZPT20250128002. Information such as the incoming weight and quality of the 4 batches of DD0011 purchased and arrived at the factory is shown in Table 11.

[0126] Table 11

[0127] Order Number Batch Number Weight, tons Purchase Code Purchase Name Ad% St,d% G DD0011 ZPT20250122011 2100 A040 Gas Coal 040 9.01 0.71 60 DD0011 ZPT20250122012 1900 A040 Gas Coal 040 9.05 0.83 57 DD0011 ZPT20250128001 1800 A040 Gas Coal 040 9.11 0.87 56 DD0011 ZPT20250128002 2200 A040 Gas Coal 040 9.32 0.74 58

[0128] Combined with Table 10 and Table 11, it can be seen that the arrival weight of DD0011 (gas coal 040) is 8000 tons, and the weight of the non-compliance range is specifically shown in Table 12.

[0129] Table 12

[0130] Different Tolerance Ranges Ad St.d G Below Standard 4000 3700 0 First Tolerance Range 1800 / / Second Tolerance Range 2200 1900 / Severely Exceeded Range / 1800 /

[0131] Combined with Table 6 and Table 12, it can be seen that the non-compliance weight of Ad = 3400 + 4000 = 7400 tons. Similarly, the non-compliance weights of other indicators can be calculated, and are specifically shown in Table 13.

[0132] Table 13

[0133] Different Tolerance Ranges Ad St.d G Below Standard 7400 7700 5000 First Tolerance Range 3800 2600 3000 Second Tolerance Range 3600 1900 0 Severely Exceeded Range 0 3200 2000

[0134] The total arrival volume of gas coal 040 in January 2025 is 18000 tons, of which the total non-compliance of Ad is 7400 tons. Therefore, the non-compliance rate of Ad = 7400 / 18000 * 100% = 41.1%. Similarly, the non-compliance rates of other indicators can be calculated, and are specifically shown in Table 14.

[0135] Table 14

[0136] Different Tolerance Ranges Ad St.d G Below Standard 41.1 42.8 27.8 First Tolerance Range 21.1 14.4 16.7 Second Tolerance Range 20.0 10.6 0.0 Severely Exceeded Range 0.0 17.8 11.1

[0137] As can be seen from Table 14, the over-standard rate of the steam coal 040 in January 2025 = (41% + 42.8% + 27.8%) / 3 = 37.2%. Similarly, the proportion of the first tolerance range can be calculated as 17.4%, the proportion of the second tolerance range as 10.2%, and the proportion of the severely over-limit range as 9.6%. Assuming k1, k2, and k3 are 0.2, 0.3, and 0.5 respectively, the overall over-standard rate is 11.35%.

[0138] For the steam coal 040, there are situations where different orders (Order DD0001 and Order DD0011) arrive on the same day. Sampling and testing are carried out according to different orders. If the evaluation is carried out with the purchase name, i.e., taking the steam coal 040 as the dimension, since two orders arrive on the same day and they correspond to two coal standards, evaluating according to the same standard dimension will lead to inaccurate and unscientific evaluation. In the quality evaluation of the present invention, the coking coal is matched according to the order number for evaluation, so as to ensure more accurate and reasonable evaluation.

[0139] 1) The over-standard rate of coking coal. The non-compliance rate of coking coal indicators represents the proportion of a certain coking coal indicator that does not meet the standard. The larger the non-compliance rate, the more the proportion that does not meet the standard, that is, the larger the proportion of the over-standard amount of coking coal indicators. The over-standard rate of coking coal quality is the arithmetic mean of the non-compliance rates of each quality indicator. The higher the over-standard rate, the worse the overall compliance of the coking coal quality, indicating that the quality control of the coal purchased by the purchasing department is worse. For the non-compliance rates of each coking coal indicator and the over-standard rate of coking coal quality, they can both be used as evaluation indicators for the purchasing department. For example, the non-compliance rate of coking coal ash (Ad) ≤ 15%, the non-compliance rate of sulfur content (St,d) ≤ 10%, the non-compliance rate of G value (G) ≤ 10%, and the over-standard rate of coking coal quality ≤ 10%. When the non-compliance rates of each coking coal quality indicator or the over-standard rate of coking coal quality exceed this range within an evaluation period, the purchasing department or the purchasing personnel can be evaluated.

[0140] 2) The over-standard rates of different tolerance ranges. The over-standard rates of different tolerance ranges represent the proportions that still do not meet the standards after the standards are relaxed by different amplitudes. The non-compliance under certain amplitude conditions can represent the concession acceptance conditions (such as the first tolerance range). If the non-compliance rate is higher under certain amplitude conditions (such as the severely over-limit range), it indicates that the supplier has poor control over the quality stability of coking coal. The non-compliance rate under certain amplitude conditions (such as the severely over-limit range) can be used as the basis for additional penalties for the supplier. For example, if the severely over-limit range > 10%, it means that the non-compliance amplitude of coking coal indicators is large, that is, the over-standard amplitude is deep, and it can be used as an evaluation indicator for the supplier and an additional quality deduction indicator.

[0141] 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 them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the purpose and scope of the present technical solution, and they should all be covered within the scope of the claims of the present invention.

Claims

1. An automatic statistical method for the over-standard rate of coking coal quality indicators, characterized in that: The method includes the following steps: S1. Enter or modify the coking coal standard through the coking coal quality standard entry module. When formulating a purchase order, the purchaser purchases according to the current coking coal quality standard. S2. The coking coal standard display module displays the information of the orders that have taken effect for procurement. The display information tracks the coking coal standard in terms of the purchase order, and uses the coking coal standard that has taken effect for the purchase order as the inspection standard. S3. The standard tolerance setting module establishes a qualified range and an over-standard range. An additional standard tolerance range is set for the over-standard range, and the standard tolerance range includes a first tolerance range, a second tolerance range, and a serious over-limit range. S4. The quality standard over-standard rate calculation module determines the corresponding proportion of coking coal under different standard tolerance ranges based on the quality indicators and weight indicators of the actual test results, and solves the coking coal quality over-standard rate based on this. S5. Transmit the obtained coking coal quality over-standard rate result to the quality over-standard rate query module for storage, and query the over-standard rate situation in real time through the quality over-standard rate query module.

2. The automatic statistical method for the over-standard rate of coking coal quality indexes according to claim 1, wherein: In step S1, a total table of coking coal index standards is established through the coking coal quality standard input module to add or modify coking coal standards. Among them, in the total table of coking coal quality standards for addition or modification, it at least includes the coking coal purchase code, coking coal name, and each index standard. The coking coal name includes the major category name and the medium category name; the indexes include ash content Ad, volatile matter Vdaf, sulfur content St,d, caking index G, plastic layer thickness Y, standard deviation S, and thermal strength CSR. The purchase code corresponds to different material names, thereby setting different standard thresholds T x , where the subscript x = {Ad Vdaf St,d G Y S CSR}, and when x takes different values, it represents different standard thresholds, including: ash content standard threshold T Ad , volatile matter standard threshold T Vdaf , sulfur content standard threshold T St,d , caking index standard threshold T G , plastic layer thickness standard threshold T Y , standard deviation standard threshold T S , thermal strength standard threshold T CSR .

3. The automatic statistical method for the over-standard rate of coking coal quality indexes according to claim 2, characterized in that: In step S2, the coking coal standard display module displays the coking coal standards corresponding to different orders. The coking coal standard display module tracks the coking coal standard in terms of the purchase order. The same coking coal purchase code and purchase name can correspond to different order numbers, different order numbers can correspond to different coking coal standards, and the coking coal standard corresponding to each order number is consistent with the coking coal standard when formulating the purchase order.

4. The automatic statistical method for the over-standard rate of coking coal quality indexes according to claim 3, characterized in that: In step S3, for each indicator, it at least includes a qualified range and an excessive range. Among them, the qualified range of each indicator means that the quality inspection result of the corresponding indicator is within the set standard threshold T x within the defined range, and the excessive range of each indicator means that the quality inspection result of the corresponding indicator is outside the set standard threshold T x outside the defined range; among them, each indicator is marked with "x,≤" or "x,≥". "x,≤" indicates that the qualified range of this indicator means that the quality inspection result does not exceed the standard threshold T x , that is, [0,T x , then its excessive range means that the quality inspection result exceeds the standard threshold T x , that is, (T x ,100]; "x,≥" indicates that the qualified range of this indicator means that the quality inspection result is not lower than the standard threshold T x , that is, [T x ,100], then its excessive range means that the quality inspection result is lower than the standard threshold T x , that is, [0,T x ).

5. The automatic statistical method for the over-standard rate of coking coal quality indicators according to claim 4, characterized in that: An additional standard tolerance range is set outside the over-limit range. The standard tolerance range includes a first tolerance range, a second tolerance range, and a severely over-limit range. The first tolerance range means that when it exceeds or is lower than the standard threshold T x but the exceeding or lower amplitude is within the first amplitude i.e., or or represents the first tolerance threshold. The second tolerance range means that when it exceeds or is lower than the first tolerance threshold but the exceeding or lower amplitude is within the second amplitude i.e., or or represents the second tolerance threshold. The severely over-limit range means that when it exceeds or is lower than the second tolerance threshold range, i.e., or 6. The automatic statistical method for the over-standard rate of coking coal quality indexes according to claim 5, characterized in that: In step S4, the quality standard over-standard rate calculation module is based on the coking coal quality standard table at the time corresponding to the coking coal order number, and combines the specific standards and standard tolerance ranges set by the standard tolerance setting module to calculate the over-standard rate under different standards and standard tolerance ranges. The specific process is as follows: Obtain the in-plant weight M of the purchased materials for a certain order number, for each indicator x i , respectively, according to the weight of the detection results that fall within the out-of-specification range to calculate the initial out-of-specification rate of indicator x i ​ Then the initial over-standard rate P0 of the overall indicators of the purchased materials of this order number is expressed as: where N represents the quantity of index x i ; Further, determine the weight of the detection result of each index x i in the first tolerance range the weight in the second tolerance range and the weight in the severely over-limit range Thus, obtain the corresponding over-standard rate of each index x i in different tolerance ranges: In the formula, P1, P2, and P3 are the over-standard rates of the purchased materials of this order number within the first tolerance range, the second tolerance range, and the serious over-limit range respectively. The calculation of the final overall exceeding standard rate combines the severity of different exceeding standard ranges and introduces a weight coefficient to solve the final overall exceeding standard rate P total : P total = k1·P1 + k2·P2 + k3·P3 Among them, k1, k2, and k3 respectively correspond to the influence degrees of the first tolerance range, the second tolerance range, and the serious over-limit range, and satisfy k1 < k2 < k3.

7. The automatic statistical method for the over-standard rate of coking coal quality indexes according to claim 6, characterized in that: In step S5, the quality standard overrun rate calculation module sends the calculated overrun rate result to the quality overrun rate query module, including the final overall overrun rate P total and the overrun rates P1, P2, P3 corresponding to different grace periods; through the quality overrun rate query module, it is possible to query the quality overrun rate under different times, different standard grace periods, different purchase names, and different suppliers.

8. A system for automatically counting the over-standard rate of coking coal quality indicators according to any one of the preceding claims 1-7, characterized in that: The system includes a coking coal quality standard entry module, a coking coal standard display module, a standard tolerance setting module, a quality over-standard rate calculation module, and a quality over-standard rate query module. Among them, The coking coal quality standard entry module is used to enter or modify the coking coal standard. When formulating a purchase order, the purchaser purchases according to the current coking coal quality standard. The coking coal standard display module is used to display the information of the orders that have taken effect for procurement, and at the same time track the coking coal standard in terms of the purchase order. The standard tolerance setting module is used to establish standard tolerance ranges of different amplitudes. Among them, the standard tolerance range includes at least a first tolerance range, a second tolerance range, and a serious over-limit range. The quality over-standard rate calculation module determines the corresponding proportion of coking coal under different standard tolerance ranges based on the quality indicators and weight indicators of the actual test results, and solves the coking coal quality over-standard rate based on this. The quality over-standard rate query module is used to store the results of the quality over-standard rate of coking coal obtained by solving, and can query the over-standard rate situation in real time. It can query the quality over-standard rate situation according to different times, different standard tolerance ranges, different procurement names, and different suppliers.

9. A device, characterized in that: It includes: One or more processors and a memory, with a computer program stored on the memory. When the one or more processors execute the computer program, the device is caused to execute the method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that A computer program is stored thereon, which when executed by one or more processors causes the device to execute the method according to any one of claims 1-7.

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