A method for purchasing decision of coke

Abstract

The present invention provides a method for purchasing decision-making of coke, which belongs to the field of coking technology. The method comprises the following steps: obtaining sample data, wherein the sample data includes the price of purchased coke and the pulverization rate of purchased coke; establishing a model according to the relationship between the sample data and the use cost of purchased coke, and training the model; obtaining the price of purchased coke and the pulverization rate of purchased coke as target data, processing the target data through the trained model to obtain the use cost of purchased coke; comparing the use cost of purchased coke with the use cost of benchmark coke, if the use cost of purchased coke is lower than or equal to the use cost of benchmark coke, purchasing is carried out, otherwise it is not purchased. The present invention can evaluate each purchased coke, so as to make a decision on the purchase of purchased coke, reduce the dependence on personal experience, and help the blast furnace obtain the highest benefit.

Description

Technical Field

[0001] The invention relates to the technical field of coking, and in particular to a coke purchasing decision method. Background Art

[0002] Coke is a product for coke ovens and a raw material for blast furnaces. Some steel conglomerates cannot produce enough coke to meet production needs, so they need to purchase some coke to increase blast furnace output. At the same time, during special time periods, the price of self-produced coke is higher than that of purchased coke. At this time, whether to purchase coke from outside and how to select the most cost-effective coke from a large number of cokes is a very difficult problem. At present, evaluation is often based on experience, which depends on personal experience. If the evaluator is inexperienced, it is difficult to make the best decision. Summary of the invention

[0003] In view of the above-mentioned shortcomings of the prior art, the purpose of the present invention is to provide a coke purchasing decision method for solving the problem that the coke purchasing decision in the prior art relies on personal experience and is difficult to make the optimal decision.

[0004] To achieve the above-mentioned and other related purposes, the present invention provides a coke purchasing decision method.

[0005] The following steps are involved:

[0006] Acquiring sample data, wherein the sample data includes a price of purchased coke and a pulverization rate of the purchased coke;

[0007] Establishing a model based on the relationship between the sample data and the price of purchased coke, and training the model;

[0008] Obtaining the price of purchased coke and the pulverization rate of purchased coke as target data, processing the target data through the trained model, and obtaining the usage price of purchased coke;

[0009] The externally purchased coke usage price is compared with the benchmark coke usage price. If the externally purchased coke usage price is lower than or equal to the benchmark coke usage price, purchase is made, otherwise no purchase is made.

[0010] Optionally, the sample data and the target data also include quality parameters of purchased coke.

[0011] Optionally, the quality parameters of the purchased coke include at least moisture, ash content, sulfur content, crushing strength, abrasion resistance, thermal reactivity and coke thermal strength.

[0012] Optionally, a model is established based on the relationship between the sample data and the blast furnace coke ratio and blast furnace output, and the model is trained.

[0013] Optionally, the target data is processed by the trained model to obtain the blast furnace coke ratio and blast furnace output of the purchased coke, and the use price of the purchased coke is calculated based on the blast furnace coke ratio and the blast furnace output.

[0014] Optionally, target data of two or more purchased cokes are obtained, and the data are processed by the trained models respectively to obtain the usage price of each purchased coke;

[0015] When the usage price of each purchased coke is lower than or equal to the benchmark coke usage price, the purchased cokes are purchased in descending order of usage price.

[0016] The present invention also provides a coke purchasing decision method, which is used for purchasing coke from outside to increase the production scale of blast furnace when the amount of self-produced coke is insufficient, and comprises the following steps:

[0017] Acquiring sample data, wherein the sample data includes a purchase price of externally purchased coke and a pulverization rate of the externally purchased coke;

[0018] Establishing a model based on the relationship between the sample data and the benefits of using purchased coke, and training the model;

[0019] The purchase price of the purchased coke and the pulverization rate of the purchased coke are obtained as target data, and the target data are processed by the trained model to obtain the use benefit of the purchased coke;

[0020] The use benefit of the purchased coke is compared with the purchase price of the purchased coke. If the use benefit of the purchased coke is higher than or equal to the purchase price of the purchased coke, it is purchased; otherwise, it is not purchased.

[0021] Optionally, a model is established based on the relationship between the sample data and the increased output of blast furnaces and the scale benefits of increased output of blast furnaces, and the model is trained.

[0022] Optionally, the target data is processed by the trained model to obtain the scale benefits of increased blast furnace production of purchased coke and the increased blast furnace output of purchased coke, and the use benefit of the purchased coke is calculated through the increased blast furnace output and the scale benefits of increased blast furnace production.

[0023] Optionally, target data of two or more purchased cokes are obtained, and the data are processed by the trained model respectively to obtain the use benefits of each of the purchased cokes;

[0024] The maximum value of the utilization benefit of each purchased coke minus the corresponding purchase price is selected. If the maximum value is greater than or equal to zero, the purchased coke corresponding to the maximum value is purchased, otherwise, it is not purchased.

[0025] As described above, a coke purchasing decision method of the present invention has the following beneficial effects: the present invention can evaluate each purchased coke to facilitate the purchase decision of the purchased coke, reduces the dependence on personal experience, and is conducive to the blast furnace to obtain the highest benefit. DETAILED DESCRIPTION

[0026] The following describes the embodiments of the present invention through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention.

[0027] To achieve the above purpose and other related purposes, this embodiment provides a coke purchasing decision method, comprising the following steps:

[0028] S1. Obtaining sample data, wherein the sample data includes the price of purchased coke and the pulverization rate of purchased coke;

[0029] S2. Establishing a model based on the relationship between the sample data and the price of purchased coke, and training the model;

[0030] S3, obtaining the price of purchased coke and the pulverization rate of purchased coke as target data, processing the target data through the trained model, and obtaining the use price of purchased coke;

[0031] S4. Compare the externally purchased coke usage price with the benchmark coke usage price. If the externally purchased coke usage price is lower than or equal to the benchmark coke usage price, purchase it; otherwise, do not purchase it.

[0032] In step S1, the sample data and the target data also include quality parameters of purchased coke. Specifically, the quality parameters of purchased coke include at least moisture, ash content, sulfur content, crushing strength, abrasion resistance, thermal reactivity and coke thermal strength.

[0033] In step S2, a model can be established based on the relationship between the sample data and the blast furnace coke ratio and blast furnace output, and the model can be trained.

[0034] Correspondingly, in step S3, the target data is processed by the trained model to obtain the blast furnace coke ratio and blast furnace output of the purchased coke, and the use price of the purchased coke is calculated based on the blast furnace coke ratio and the blast furnace output.

[0035] In step S3, target data of two or more purchased cokes may be obtained at the same time, and then processed by the trained model respectively to obtain the corresponding purchased coke usage price of each purchased coke;

[0036] Correspondingly, in step S4, the lowest value of each purchased coke usage price is selected and compared with the benchmark coke usage price. If the lowest value is lower than or equal to the benchmark coke usage price, the purchased coke corresponding to the lowest value is purchased. If the lowest value is greater than the benchmark coke usage price, the purchased coke is not purchased.

[0037] When the amount of self-produced coke is sufficient, it is necessary to decide whether to purchase external coke to replace self-produced coke based on the price of externally purchased metallurgical coke. In actual application, the specific steps are as follows:

[0038] 1. Determine the evaluation benchmark for purchased coke, that is, determine the various parameters of the benchmark coke.

[0039] Benchmark coke: coke price is RMB 2,430 / ton, pulverization rate is 10%, coke ash content is 12.15%, sulfur content is 0.84%, moisture content is 3.8%, M40 is 88.7%, M10 is 5.8%, CRI is 22.3%, and CSR is 68.6%.

[0040] Among them, M40 is the crushing strength of coke, M10 is the abrasion resistance of coke, CRI is the thermal reactivity of coke, and CSR is the thermal strength of coke.

[0041] Using benchmark coke: blast furnace coke ratio 330kg / molten iron, blast furnace molten iron output 7800 tons per day, molten iron creates benefits of 1000 yuan / ton. Benchmark coke metallurgical coke price = (2430-1300*10%) / (1-10%) = 2555.56 yuan / ton.

[0042] 2. The price of base coke and metallurgical coke after purchased coke enters the factory is calculated based on the coke price, the price of purchased coke powder, and the powderization rate of coke entering the factory. Among them, coke with a particle size ≥ 25mm is metallurgical coke, coke with a particle size < 25mm is coke powder, and the powderization rate is the ratio of coke powder to the whole coke.

[0043] Purchased coke: The price of purchased coke is RMB 2,400 / ton, the coke pulverization rate is 20%, the coke ash content is 12.39%, the sulfur content is 0.98%, the moisture content is 5.1%, M40 is 87.8%, M10 is 5.5%, CRI is 23.9%, and CSR is 72%.

[0044] The price of purchased coke powder is 1,300 yuan / ton, which means that the coke powder can be sold at 1,300 yuan / ton or transferred to other production departments for use. It needs to be deducted when calculating the price of purchased coke metallurgical coke. That is, the price of purchased metallurgical coke = (purchased coke price - purchased coke powder price * powderization rate) / (1-powderization rate).

[0045] In this embodiment, the price of purchased metallurgical coke is calculated to be (2400-1300*20%) / (1-20%)=2675 yuan / ton.

[0046] 3. Determine the effect of changes in coke moisture, ash, sulfur, M40, M10, CRI, and CSR on blast furnace coke ratio and blast furnace output.

[0047] In this embodiment, the model adopts a deep learning neural network model, and the sample data adopts the data accumulated in production. After model training, the influence coefficients of moisture, ash, sulfur, M40, M10, CRI, and CSR changes on blast furnace coke ratio and blast furnace output are shown in the following table.

[0048]

[0049] 4. Determine the impact on the blast furnace based on the various indicators of coke

[0050] 1) The impact of changes in coke quality parameters on coke ratio:

[0051] The impact of ash content on blast furnace coke ratio = (ash content of purchased coke - ash content of benchmark coke) / 1*2%;

[0052] The impact of M40 on blast furnace coke ratio = (purchased coke M40-base coke M40) / 1*(-1%);

[0053] The impact of M10 on blast furnace coke ratio = (purchased coke M10-base coke M10) / 1*3%;

[0054] The impact of CRI on blast furnace coke ratio = (CRI of purchased coke - CRI of benchmark coke) / 1*0.5%;

[0055] The impact of CSR on blast furnace coke ratio = (CSR of purchased coke - CSR of benchmark coke) / 1*(-0.5%);

[0056] The effect of sulfur on blast furnace coke ratio = (purchased coke sulfur - benchmark coke sulfur) / 0.1 * 1.5%;

[0057] The influence of moisture on blast furnace coke ratio = (moisture content of purchased coke - moisture content of benchmark coke) / 1*0.5%;

[0058] The total impact of coke quality changes on focus ratio: J external coke = impact of ash content on focus ratio + impact of M40 on focus ratio + impact of M10 on focus ratio + impact of CRI on focus ratio + impact of CSR on focus ratio + impact of sulfur on focus ratio + impact of moisture on focus ratio.

[0059] 2) The impact of changes in coke quality parameters on blast furnace output.

[0060] The impact of ash content on blast furnace output = (ash content of purchased coke - ash content of benchmark coke) / 1*(-3%);

[0061] The impact of M40 on blast furnace output = (purchased coke M40-base coke M40) / 1*1.8%;

[0062] The impact of M10 on blast furnace output = (purchased coke M10-benchmark coke M10) / 1*(-4%);

[0063] Impact of CRI on blast furnace output = (CRI of purchased coke - CRI of benchmark coke) / 1*(-1)%;

[0064] Impact of CSR on blast furnace output = (CSR of purchased coke - CSR of benchmark coke) / 1*1%;

[0065] The impact of sulfur on blast furnace output = (purchased coke sulfur - benchmark coke sulfur) / 0.1 * (-2%);

[0066] The impact of moisture on blast furnace output = (moisture content of purchased coke - moisture content of benchmark coke) / 1*(-1%);

[0067] The total impact of changes in coke quality on blast furnace output: C external output = impact of ash content on blast furnace output + impact of M40 on blast furnace output + impact of M10 on blast furnace output + impact of CRI on blast furnace output + impact of CSR on blast furnace output + impact of sulfur on blast furnace output + impact of moisture on blast furnace output.

[0068] When the change in coke quality affects the blast furnace coke ratio and blast furnace output by ≥4%, 4% shall be taken.

[0069] Specifically, the total impact of coke quality changes on coke ratio is:

[0070] The influence of ash content on blast furnace coke ratio = (12.39-12.15) / 1*2%=0.48%;

[0071] The impact of M40 on blast furnace coke ratio = (87.8-88.7) / 1* (-1%) = 0.9%;

[0072] The impact of M10 on blast furnace coke ratio = (5.5-5.8) / 1*3% = -0.9%;

[0073] The impact of CRI on blast furnace coke ratio = (23.9-22.3) / 1*0.5%=0.8%;

[0074] The impact of CSR on blast furnace coke ratio = (72-68.6) / 1*(-0.5%)=-1.7%;

[0075] The effect of sulfur on blast furnace coke ratio = (0.98-0.84) / 0.1*1.5%=2.1%;

[0076] The effect of moisture on blast furnace coke ratio = (5.1-3.8) / 1*0.5%=0.65%;

[0077] The total impact of coke quality change on coke ratio = 0.48% + 0.9% + (-0.9%) + 0.8% + (-1.7%) + 2.1% + 0.65% = 2.33%

[0078] The impact of changes in coke indicators on blast furnace output:

[0079] The effect of ash content on blast furnace output = (12.39-12.15) / 1*(-3%) = -0.72%;

[0080] The impact of M40 on blast furnace output = (87.8-88.7) / 1*1.8% = -1.62%;

[0081] The impact of M10 on blast furnace output = (5.5-5.8) / 1*(-4%) = 1.2;

[0082] Impact of CRI on blast furnace output = (23.9-22.3) / 1*(-1)% = -1.6%;

[0083] The impact of CSR on blast furnace output = (72-68.6) / 1*1% = 3.4%;

[0084] The effect of sulfur on blast furnace output = (0.98-0.84) / 0.1*(-2%) = -2.8%;

[0085] The effect of moisture on blast furnace output = (5.1-3.8) / 1*(-1%) = -1.3%;

[0086] The total impact of coke quality changes on blast furnace output: C output = (-0.72%) + (-1.62%) + 1.2% + (-1.6%) 3.4% + (-2.8%) + (-1.3%) = -3.44%;

[0087] 5. Based on the blast furnace coke ratio and blast furnace output under benchmark conditions, calculate the blast furnace coke ratio and blast furnace output using purchased coke, and calculate the price of purchased coke.

[0088] Blast furnace coke ratio using purchased coke = (1 + J external coke) * benchmark coke blast furnace coke ratio;

[0089] Blast furnace output using purchased coke = (1 + C external output) * benchmark coke blast furnace output;

[0090] Coke consumption per unit time = blast furnace output * blast furnace coke ratio;

[0091] Coke cost per unit time of iron production = coke consumption per unit time * metallurgical coke price;

[0092] The benefit of iron creation per unit time = the benefit of iron creation per unit weight * the iron output per unit time;

[0093] Among them, the benefit created by unit weight of iron refers to the benefit obtained by producing steel products and selling them according to the current market conditions. The benefit created by unit weight of iron is related to the company's production scale, sintered ore output, pellet ore purchase volume, iron-steel ratio, steel product variety structure distribution, and market prices of different unit weight steel products.

[0094] Steel products generally include commodity billets, thick plates, medium plates, hot coils, bars, double-high bars, wire rods, etc. Different products have different production costs and market prices, resulting in different benefits created by different products. According to the theoretical calculation of the benefits of producing different products per unit weight of iron, the highest and lowest benefits are obtained, that is, the highest and lowest benefits created by unit weight of iron. Or if different steel products are produced after the iron output is increased, the benefits created by unit weight of iron are calculated according to the benefits of different commodities.

[0095] Change in the cost of purchased coke per unit weight = (cost of purchased coke consumed per unit time of iron production - cost of benchmark coke consumed per unit time of iron production) / consumption of purchased coke per unit time;

[0096] Change in the scale benefit of purchased coke per unit weight = (the benefit of iron created per unit time by using purchased coke - the benefit of iron created per unit time by using benchmark coke) / the consumption of purchased coke per unit time;

[0097] Unit weight external coke usage price = unit weight external coke molten iron cost change - unit weight external coke scale benefit change;

[0098] The price of purchased metallurgical coke = the price of purchased metallurgical coke - the price of purchased coke per unit weight;

[0099] Specifically, in this embodiment: the unit time is 1 day, and the unit weight is 1 ton.

[0100] Blast furnace coke ratio using purchased coke = (1 + 2.33) * 330 = 337.689 kg / molten iron;

[0101] Blast furnace output using purchased coke = (1 + (-3.44%)) * 7800 = 7531.68 tons of molten iron;

[0102] Base coke: Coke consumption per day of iron production = 7800*330 / 1000 = 2574 tons;

[0103] Purchased coke: Coke consumption per day of iron production = 7531.68*337.689 / 1000 = 2543.4 tons;

[0104] Cost change of one ton of purchased molten coke = (2543.4*2675-2574*2555.56) / 2543.4 = 88.7 yuan;

[0105] Change in scale benefits of purchased coke per ton = (7531.68*1000-7800*1000) / 2543.4 = -105.5 yuan;

[0106] The price of one ton of purchased coke = 88.7-(-105.5) = 194.2 yuan;

[0107] The price of purchased metallurgical coke = 2675 + 194.2 = 2869.2 yuan > 2555.56 (benchmark metallurgical coke price). At this time, the price of purchased coke is not cost-effective and is not recommended.

[0108] In actual situations, the purchase price of external coke can be adjusted through negotiation and other means. When the external coke price is less than RMB 2555.56 (the benchmark metallurgical coke price), the external coke price is cost-effective and can be purchased. For example, when the external coke price is RMB 2274 / ton, the external metallurgical coke price is RMB 2554.2 / ton, and RMB 2554.2 is less than RMB 2555.56. At this time, the external coke price is cost-effective and can be purchased.

[0109] When obtaining target data of two or more purchased cokes at the same time, the specific implementation is as follows:

[0110] Benchmark coke: coke price is RMB 2,430 / ton, pulverization rate is 10%, coke ash content is 12.15%, sulfur content is 0.84%, moisture content is 3.8%, M40 is 88.7%, M10 is 5.8%, CRI is 22.3%, and CSR is 68.6%.

[0111] Using benchmark coke: blast furnace coke ratio is 330kg / molten iron, blast furnace molten iron output is 7,800 tons per day, and molten iron creates a profit of 1,000 yuan / ton.

[0112] The price of purchased coke powder is 1,300 yuan / ton.

[0113] 1# purchased coke (purchased coke in Example 1): the price of purchased coke is 2,400 yuan / ton, the coke pulverization rate is 20%, the coke ash content is 12.39%, the sulfur content is 0.98%, the moisture content is 5.1%, M40 is 87.8%, M10 is 5.5%, CRI is 23.9%, and CSR is 72%.

[0114] 2# purchased coke: The price of purchased coke is 2,560 yuan / ton, the coke powdering rate is 15%, the coke ash content is 12.5%, the sulfur content is 0.5%, the moisture content is 5.5%, M40 is 88.5%, M10 is 5.9%, CRI is 23%, and CSR is 70%.

[0115] 3# purchased coke: The price of purchased coke is 2,410 yuan / ton, the coke powdering rate is 18%, the coke ash content is 12.6%, the sulfur content is 0.95%, the moisture content is 1.4%, M40 is 87.1%, M10 is 6.1%, CRI is 22%, and CSR is 69%.

[0116] 4# purchased coke: The price of purchased coke is 2,580 yuan / ton, the coke powdering rate is 12%, the coke ash content is 12.2%, the sulfur content is 0.71%, the moisture content is 6.1%, M40 is 88.1%, M10 is 5.2%, CRI is 18%, and CSR is 70%.

[0117] Similarly, calculation:

[0118] 1# Externally purchased coke: metallurgical coke usage price is RMB 2869.16;

[0119] 2# Purchased coke: metallurgical coke usage price 2900.35 yuan;

[0120] 3# Purchased coke: The change in coke quality affects the blast furnace coke ratio by 4.53%>4%, so 4% is used in the calculation. The price of metallurgical coke is 2857.29 yuan;

[0121] 4# Purchased coke: The change in coke quality affects the coke ratio of the blast furnace by 4.75%>4%, so 4% is taken for calculation, i.e. -4%; The change in coke quality affects the output of the blast furnace by 7.17%>4%, so 4% is taken for calculation, i.e. 4%. The price of metallurgical coke is 2828.03 yuan

[0122] According to calculation: the usage price of 4# purchased coke is less than the usage price of 3# purchased coke and less than the usage price of 1# purchased coke and less than the usage price of 2# purchased coke.

[0123] That is, among the four types of externally purchased coke, 4# externally purchased coke has the highest cost-effectiveness and is lower than the benchmark metallurgical coke price. It is recommended to purchase 4# externally purchased coke.

[0124] This embodiment also provides a coke purchasing decision method, which is used to purchase coke from outside to increase the production scale of blast furnaces when the amount of self-produced coke is insufficient, and includes the following steps:

[0125] S01. Obtaining sample data, wherein the sample data includes a purchase price of externally purchased coke and a pulverization rate of the externally purchased coke;

[0126] S02. Establishing a model based on the relationship between the sample data and the use benefits of purchased coke, and training the model;

[0127] S03, obtaining the purchase price of the purchased coke and the pulverization rate of the purchased coke as target data, processing the target data through the trained model, and obtaining the use benefit of the purchased coke;

[0128] S04. Compare the use benefit of the purchased coke with the purchase price of the purchased coke. If the use benefit of the purchased coke is higher than or equal to the purchase price of the purchased coke, purchase it; otherwise, do not purchase it.

[0129] In step S02, a model can be established based on the relationship between the sample data and the blast furnace output increase and the blast furnace output increase scale benefit, and the model can be trained.

[0130] Correspondingly, in step S03, the target data is processed by the trained model to obtain the scale benefit of the blast furnace production increase of the purchased coke and the blast furnace output increase of the purchased coke. The use benefit of the purchased coke is calculated through the blast furnace output increase and the blast furnace production scale benefit.

[0131] Specifically, the benefit of using purchased metallurgical coke = (scale benefit of increased blast furnace production * blast furnace output of benchmark coke + increased blast furnace production * benefit created per unit weight of iron) / amount of purchased coke used.

[0132] Amount of purchased coke used = blast furnace output * blast furnace coke ratio;

[0133] Among them, the blast furnace coke ratio using purchased coke = (1 + J external coke) * benchmark coke blast furnace coke ratio; the blast furnace output using purchased coke = (1 + C external output) * benchmark coke blast furnace output;

[0134] In step S04, target data of two or more purchased cokes may be obtained, and processed by the trained model respectively to obtain the use benefits of each of the purchased cokes;

[0135] The maximum value of the utilization benefit of each purchased coke minus the corresponding purchase price is selected. If the maximum value is greater than or equal to zero, the purchased coke corresponding to the maximum value is purchased, otherwise, it is not purchased.

[0136] In actual application, the unit weight is 1 ton, the unit time is 1 day, and the specific steps are as follows:

[0137] Benchmark coke: coke price is RMB 2,430 / ton, pulverization rate is 10%, coke ash content is 12.15%, sulfur content is 0.84%, moisture content is 3.8%, M40 is 88.7%, M10 is 5.8%, CRI is 22.3%, and CSR is 68.6%.

[0138] The price of purchased coke powder is 1,300 yuan / ton.

[0139] Purchased coke: The price of purchased coke is RMB 3,050 / ton, the coke powdering rate is 20%, the coke ash content is 12.39%, the sulfur content is 0.98%, the moisture content is 5.1%, M40 is 87.8%, M10 is 5.5%, CRI is 23.9%, and CSR is 72%.

[0140] When using standard coke, the blast furnace coke ratio is 330kg / molten iron, the blast furnace molten iron output is only 7,200 tons per day, and the molten iron creates a profit of 500 yuan / ton.

[0141] When using purchased coke, the blast furnace iron output should be increased to 7,800 tons / day, and the iron output should be increased by 600 tons / day. The iron output increased by 600 tons, and the profit per ton of iron is 700 yuan / ton.

[0142] After calculation, the change in the quality of purchased coke leads to an increase of 2.33% in the blast furnace coke ratio, that is, the blast furnace coke ratio is 337.689kg / molten iron when using purchased coke. The molten iron output increases by 600 tons, and the coke consumption increases by 600*337.689 / 1000=202.6134 tons. Due to the increase in output, a scale benefit of 40 yuan / ton is generated. The use benefit of purchased coke = (600*700+7200*40) / 202.6134=3494.34>3487.50. Therefore, it is recommended to purchase purchased coke for production increase.

[0143] In summary, the present invention can evaluate each purchased coke to facilitate decision-making on the purchase of the purchased coke, reduces dependence on personal experience, and is conducive to the blast furnace obtaining the highest efficiency.

[0144] The above embodiments are merely illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. Anyone familiar with the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by a person of ordinary skill in the art without departing from the spirit and technical concept disclosed by the present invention shall still be covered by the claims of the present invention.

Claims

1. A coke purchasing decision-making method, characterized in that: The following steps are involved: Acquiring sample data, wherein the sample data includes a price of purchased coke and a pulverization rate of the purchased coke; Establishing a model based on the relationship between the sample data and the price of purchased coke, and training the model; Obtaining the price of purchased coke and the pulverization rate of purchased coke as target data, processing the target data through the trained model, and obtaining the usage price of purchased coke; Compare the external coke usage price with the benchmark coke usage price, and if the external coke usage price is lower than or equal to the benchmark coke usage price, purchase it, otherwise do not purchase it; Among them, the price of purchased metallurgical coke = the price of purchased metallurgical coke + the price of purchased coke per unit weight; Price of purchased metallurgical coke = (price of purchased coke - price of purchased coke powder * pulverization rate) / (1-pulverization rate); Unit weight external coke usage price = unit weight external coke molten iron cost change - unit weight external coke scale benefit change; Change in the scale benefit of purchased coke per unit weight = (the benefit of iron created per unit time by using purchased coke - the benefit of iron created per unit time by using benchmark coke) / the consumption of purchased coke per unit time; Change in cost of purchased coke per unit weight = (cost of purchased coke consumed per unit time of iron production - benchmark coke cost per unit time of iron production) / consumption of purchased coke per unit time.

2. The coke purchasing decision-making method according to claim 1, characterized in that: The sample data and the target data also include quality parameters of purchased coke.

3. The coke purchasing decision-making method according to claim 2, characterized in that: The quality parameters of the purchased coke include at least moisture, ash content, sulfur content, crushing strength, abrasion resistance, thermal reactivity and coke thermal strength.

4. The coke purchasing decision-making method according to claim 1, characterized in that: A model is established based on the relationship between the sample data and the blast furnace coke ratio and blast furnace output, and the model is trained.

5. The coke purchasing decision-making method according to claim 4, characterized in that: The target data is processed by the trained model to obtain the blast furnace coke ratio and blast furnace output of the purchased coke, and the use price of the purchased coke is calculated based on the blast furnace coke ratio and the blast furnace output.

6. The coke purchasing decision-making method according to claim 4, characterized in that: Obtaining target data of two or more purchased cokes, processing them respectively through the trained models, and obtaining the usage price of each of the purchased cokes; When the usage price of each purchased coke is lower than or equal to the benchmark coke usage price, the purchased cokes are purchased in descending order of usage price.

7. A coke purchasing decision method for increasing the production scale of blast furnaces by purchasing coke from outside when the amount of self-produced coke is insufficient, characterized in that: The following steps are involved: Acquiring sample data, wherein the sample data includes a purchase price of externally purchased coke and a pulverization rate of the externally purchased coke; Establishing a model based on the relationship between the sample data and the benefits of using purchased coke, and training the model; The purchase price of the purchased coke and the pulverization rate of the purchased coke are obtained as target data, and the target data are processed by the trained model to obtain the use benefit of the purchased coke; Compare the use benefit of the purchased coke with the purchase price of the purchased coke, and if the use benefit of the purchased coke is higher than or equal to the purchase price of the purchased coke, purchase it; otherwise, do not purchase it; Among them, the benefit of using purchased metallurgical coke = (scale benefit of blast furnace production increase * benchmark coke blast furnace output + blast furnace production increase * unit weight iron creation benefit) / purchased coke usage; Amount of purchased coke used = blast furnace output * blast furnace coke ratio; The coke ratio of the blast furnace using purchased coke = (1 + J external coke) * benchmark coke blast furnace coke ratio; the output of the blast furnace using purchased coke = (1 + C external output) * benchmark coke blast furnace output.

8. The coke purchasing decision-making method according to claim 7, characterized in that: A model is established based on the relationship between the sample data and the increased output of blast furnaces and the scale benefits of increased output of blast furnaces, and the model is trained.

9. The coke purchasing decision-making method according to claim 8, characterized in that: The target data is processed by the trained model to obtain the scale benefit of increased blast furnace production of purchased coke and the increased blast furnace output of purchased coke. The use benefit of purchased coke is calculated through the increased blast furnace output and the scale benefit of increased blast furnace production.

10. The coke purchasing decision-making method according to claim 7, characterized in that: Obtain target data of two or more purchased cokes, process them respectively through the trained models, and obtain the use benefits of each of the purchased cokes; The maximum value of the utilization benefit of each purchased coke minus the corresponding purchase price is selected. If the maximum value is greater than or equal to zero, the purchased coke corresponding to the maximum value is purchased, otherwise, it is not purchased.

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