Method for determining coking coal blending structure and related equipment

Abstract

The invention provides a determination method of a coking coal blending structure and related equipment.The determination method comprises the steps that planned coke yield information is obtained, and the planned coke yield information comprises coke yield information of a planned production cycle; according to the planned coke yield information, first volatile component information is determined, and the first volatile component information is used for representing volatile components of coal as fired in the planned production cycle; according to the first volatile component information, determining a ton coal income coefficient of the planned production cycle; and determining the coal blending structure of the coal as fired in the planned production cycle according to the coal per ton income coefficient. According to the determination method for the coking coal blending structure, the coal blending structure of the planned production cycle can be determined based on the byproduct income condition of the planned production cycle, and production benefit improvement of the planned production cycle can be realized on the basis of ensuring that the planned production cycle can meet the coke yield requirement; and the production organization level of coking production can be improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of coking coal blending, and in particular to a method for determining a coking coal blending structure and related equipment. Background Art

[0002] The coal fed into the furnace is distilled and decomposed in the carbonization chamber of the coke oven. In addition to producing coke, it also produces by-products such as tar and coke oven gas. The coal blending structure of the coal fed into the furnace has a great influence on the output of coke and by-products. In actual production, it is often necessary to determine the coal blending structure in advance.

[0003] In the related art, when determining the coal blending structure, the coke output is usually the main consideration, so that only the coke output demand can be met. Summary of the invention

[0004] The present disclosure aims to solve at least one of the technical problems existing in the prior art or related art.

[0005] In view of this, according to a first aspect of an embodiment of the present disclosure, a method for determining a coking coal blending structure is proposed, comprising:

[0006] Acquire planned coke production information, where the planned coke production information is used to indicate the coke production in the planned production cycle;

[0007] Determine first volatile matter information according to planned coke production information, the first volatile matter information is used to represent the volatile matter of coal fed into the furnace in the planned production cycle;

[0008] Determine the coal yield coefficient per ton of the planned production cycle based on the first volatile content information;

[0009] According to the profit coefficient per ton of coal, the coal blending structure of the coal entering the furnace during the planned production cycle is determined.

[0010] In a feasible implementation manner, the step of determining the first volatile matter information according to the planned coke production information includes:

[0011] Acquire planned coal consumption information, where the planned coal consumption information is used to indicate the planned consumption of coal entering the furnace during the planned production cycle;

[0012] The first volatile matter information is determined based on the planned coke production information and the planned coal consumption information.

[0013] In a feasible implementation manner, the step of determining the per-ton coal revenue coefficient of the planned production cycle according to the first volatile matter information includes:

[0014] Acquire by-product unit price information and second volatile matter information, wherein the by-product unit price information is used to indicate the unit price of coking by-products, and the second volatile matter information is used to indicate the volatile matter of the coal fed into the furnace in the current production cycle;

[0015] The per-ton coal profit coefficient of the planned production cycle is determined based on the by-product unit price information, the first volatile component information and the second volatile component information. The per-ton coal profit coefficient is positively correlated with the by-product unit price information and the first volatile component information, and negatively correlated with the second volatile component information.

[0016] In a feasible implementation manner, the by-product unit price information includes gas unit price information and tar unit price information.

[0017] In a feasible implementation manner, the number of planned coke production information is multiple, and the step of determining the coal blending structure of the incoming coal in the planned production cycle according to the ton coal revenue coefficient includes:

[0018] When the ton-coal profit coefficients corresponding to multiple planned coke production information are all positive or negative, the largest ton-coal profit coefficient is used as the first expected profit coefficient;

[0019] The coal blending structure of the incoming coal in the planned production cycle is determined according to the first volatile matter information corresponding to the first expected profit coefficient.

[0020] In a feasible implementation manner, the step of determining the coal blending structure of the incoming coal in the planned production cycle according to the ton coal revenue coefficient further includes:

[0021] When the ton-coal profit coefficients corresponding to the multiple planned coke production information include positive and negative values, the ton-coal profit coefficient closest to 0 is used as the second expected profit coefficient;

[0022] The coal blending structure of the incoming coal in the planned production cycle is determined according to the first volatile matter information corresponding to the second expected profit coefficient.

[0023] In a feasible implementation manner, the moisture content of the coal fed into the furnace is greater than or equal to 9.5% and less than or equal to 11.5%.

[0024] In a feasible implementation manner, the coal blending structure includes a coordinated coal ratio.

[0025] According to a second aspect of an embodiment of the present disclosure, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program. When the computer program is executed, the determination method provided in any one of the first aspects is implemented.

[0026] According to a third aspect of an embodiment of the present disclosure, an electronic device is provided, including:

[0027] a memory storing a computer program;

[0028] a processor for executing a computer program;

[0029] When executing the computer program, the processor implements the determination method proposed in any one of the first aspects above.

[0030] The above description is only an overview of the technical solution provided by the present disclosure. In order to more clearly understand the technical means of the present disclosure, it can be implemented according to the contents of the specification. In order to make the above and other features and effects of the present disclosure more obvious and easy to understand, the implementation methods of the present disclosure are specifically listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the exemplary embodiments below. The accompanying drawings are only for the purpose of illustrating exemplary embodiments and are not to be considered as limiting the present disclosure. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0032] Figure 1 A schematic flowchart of a method for determining a coking coal blending structure according to an embodiment of the present disclosure;

[0033] Figure 2 A schematic structural block diagram of a computer-readable storage medium according to an embodiment of the present disclosure;

[0034] Figure 3 A schematic structural block diagram of an electronic device according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0035] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0036] It should be noted that coking production is an important link in the steel industry, with coke as the main product. Coke is used as a reducing agent and fuel in the blast furnace ironmaking process, and plays a key role in the efficiency and quality of steel production. However, the chemical products produced in the coking production process, such as coal tar, coke oven gas, crude benzene, ammonium sulfate, etc., are also important by-products of coking plants and have high economic value. These chemical products are widely used in the fields of chemicals, medicines, dyes, pesticides, etc., and can bring additional benefits to coking enterprises.

[0037] In production practice, excessive pursuit of coke output may reduce the output of chemical products, thus affecting overall revenue; while excessive focus on the production of chemical products may affect the quality and output of coke, and thus affect the stability of ironmaking production. Therefore, in the production process of coking enterprises, while meeting the demand for coke output to support blast furnace ironmaking production, they should also balance the output ratio of coke and chemical products. Enterprises need to optimize the coal input indicators and reasonably allocate resources according to production demand, market fluctuations and other factors to ensure the coordinated development of coke and chemical products, thereby maximizing economic benefits.

[0038] In the related art, when determining the coal blending structure, the coke output is usually the main consideration, so that only the coke output demand can be met.

[0039] In view of this, if Figure 1 As shown, according to the first aspect of the embodiment of the present disclosure, a method for determining a coking coal blending structure is proposed, comprising:

[0040] Step S101: acquiring planned coke production information, where the planned coke production information is used to indicate the coke production in the planned production cycle;

[0041] It can be understood that the planned production cycle can be a production cycle that is after the current production cycle in time, and the unit of the planned production cycle can be but not limited to time units such as years, months or days; the aforementioned planned coke output information can represent the output of coke in the planned production cycle. In actual production, the coke output expected to be achieved within the planned production cycle is usually a production range, for example, it can be but not limited to [158287.5t, 159862.5t]. Accordingly, the quantity of coke output in the aforementioned planned production cycle can be multiple, and the coke output of multiple planned production cycles all conforms to the aforementioned production range. The aforementioned planned coke output information can also be multiple, and correspond one-to-one with the coke output of the aforementioned planned production cycle; there can be multiple ways to obtain the planned coke output information, for example, it can be obtained by extracting production plan data in the production management system, collecting production plan data in the production plan table, etc. The specific method of obtaining the planned coke output information is not limited here.

[0042] Step S102: determining first volatile matter information according to the planned coke output information, where the first volatile matter information is used to represent the volatile matter of the coal fed into the furnace in the planned production cycle;

[0043] It is understandable that during coking, the incoming coal is usually put into the coke oven carbonization chamber for dry distillation and decomposition. In addition to solid products mainly composed of coke, gaseous by-products are also generated. Among them, coke is the main product of coking production, and the chemical products obtained by collecting and treating the gaseous by-products are by-products of coking production. During the dry distillation and decomposition process, the incoming coal at different positions in the carbonization chamber is often in different temperature ranges, which makes the gas composition generated by the incoming coal at different positions in the coking process different. In the process of overflowing through different channels, these gases will continue to change due to factors such as temperature changes and changes in contact objects, and then converge at the riser to form raw coal gas. The raw coal gas includes water vapor, tar gas, mixed gas and other components. Among them, tar gas can be converted into tar after collection and treatment. The mixed gas is also dry coal gas, which includes H2, CH4, C m H n , CO and other components. The aforementioned gaseous by-products include the aforementioned raw coal gas, and the proportion of dry coal gas in the gaseous by-products is relatively high. Accordingly, the aforementioned by-products may include but are not limited to tar, coke oven gas and other products obtained after processing the raw coal gas.

[0044] When the amount of coal fed into the furnace is constant, the output of coke generated by dry distillation and decomposition is negatively correlated with the output of gaseous by-products, that is, the higher the output of coke, the lower the output of gaseous by-products will be, or the lower the output of coke, the higher the output of gaseous by-products will be. The volatile matter is positively correlated with the output of gaseous by-products generated by the dry distillation and decomposition of the coal fed into the furnace, that is, the higher the volatile matter of the coal fed into the furnace, the higher the output of gaseous by-products will be, or the lower the volatile matter of the coal fed into the furnace, the lower the output of gaseous by-products will be. Based on this, when the planned coke output information is determined, the aforementioned first volatile matter information can be determined based on the planned coke output information, so that it is convenient to predict the output of gaseous by-products obtained when the planned production cycle meets the coke output demand based on the first volatile matter information, and then the output of the aforementioned by-products can be predicted.

[0045] It can be understood that, when there are multiple pieces of planned coke production information, there are also multiple pieces of the first volatile matter information, and they correspond one-to-one to the planned coke production information.

[0046] Step S103: determining the per-ton coal revenue coefficient of the planned production cycle according to the first volatile matter information;

[0047] It can be understood that, when the volatile matter of the coal entering the furnace in the planned production cycle is determined, the output of gaseous by-products obtained in the planned production cycle while meeting the coke production demand can be predicted. Accordingly, the output of the aforementioned by-products can be predicted, so that the aforementioned ton of coal profit coefficient determined based on the first volatile matter information can be used to characterize the profit brought by at least part of the by-products produced in the planned production cycle, for example, it can be used to characterize the profit brought by tar and / or coke oven gas.

[0048] It can be understood that, in the case where there are multiple first volatile matter information, there are also multiple coal-ton profit coefficients in the aforementioned planned production cycle, and they correspond one-to-one to the first volatile matter information.

[0049] Step S104: Determine the coal blending structure of the incoming coal in the planned production cycle according to the profit coefficient per ton of coal.

[0050] It can be understood that the coal blending structure of the coal entering the furnace will affect the volatile matter of the coal entering the furnace, and accordingly, will affect the output of coke and the aforementioned gaseous by-products generated by the coal entering the furnace during coking. Therefore, by determining the coal blending structure of the coal entering the furnace in the planned production cycle based on the aforementioned ton of coal profit coefficient, the determined coal blending structure can improve the profit brought by at least part of the aforementioned by-products on the basis of ensuring that the coking production in the planned production cycle can meet the coke output demand. Further, when guiding the production of the planned production cycle according to the aforementioned coal blending structure, the production efficiency of the planned production cycle can be improved.

[0051] In summary, the method for determining the coking coal blending structure provided in the embodiment of the present invention is based on the aforementioned method, and can determine the coal blending structure of the planned production cycle based on the by-product income of the planned production cycle. Therefore, when guiding the production of the planned production cycle according to the aforementioned coal blending structure, it is possible to achieve improvement in the production efficiency of the planned production cycle while ensuring that the planned production cycle can meet the coke output demand, which is conducive to improving the production organization level of coking production.

[0052] In a feasible implementation manner, the step of determining the first volatile matter information according to the planned coke production information includes:

[0053] Acquire planned coal consumption information, where the planned coal consumption information is used to indicate the planned consumption of coal entering the furnace during the planned production cycle;

[0054] The first volatile matter information is determined based on the planned coke production information and the planned coal consumption information.

[0055] Specifically, when the planned amount of coal entering the furnace in the planned production cycle is certain, combined with the relationship between the aforementioned coke output and the gaseous by-product output, as well as the relationship between the aforementioned volatile matter and the gaseous by-product output, the aforementioned first volatile matter information can be determined based on the planned coke output information and the planned coal consumption information, thereby facilitating the determination of the aforementioned ton of coal profit coefficient based on the first volatile matter information, thereby providing a reference for determining the coal blending structure.

[0056] It is understandable that there are many ways to determine the planned coal consumption information. For example, it can be obtained by extracting production plan data from the production management system, collecting production plan data from the production plan table, etc. The specific method of obtaining the planned coal consumption information is not limited here.

[0057] Exemplarily, the first volatile matter information may be determined based on formula (1), which is as follows:

[0058] v daf1 =(0.9197-C 计 / M 煤 ) / 0.61(1)

[0059] Among them, v daf1 The first volatile matter information can be expressed as a percentage; C 计 is the planned coke production information, in t; M 煤 It is the planned coal consumption information, the unit is t.

[0060] It is understandable that in practical applications, the planned coal consumption M 煤 Is a constant.

[0061] In a feasible implementation manner, the step of determining the per-ton coal revenue coefficient of the planned production cycle according to the first volatile matter information includes:

[0062] Acquire by-product unit price information and second volatile matter information, wherein the by-product unit price information is used to indicate the unit price of coking by-products, and the second volatile matter information is used to indicate the volatile matter of the coal fed into the furnace in the current production cycle;

[0063] The per-ton coal profit coefficient of the planned production cycle is determined based on the by-product unit price information, the first volatile component information and the second volatile component information. The per-ton coal profit coefficient is positively correlated with the by-product unit price information and the first volatile component information, and negatively correlated with the second volatile component information.

[0064] Specifically, in the process of determining the ton-of-coal profit coefficient of the planned production cycle according to the first volatile matter information, the ton-of-coal profit coefficient can be determined according to the aforementioned by-product unit price information, the first volatile matter information and the second volatile matter information, and based on the correlation between the aforementioned by-product unit price information, the second volatile matter information and the ton-of-coal profit coefficient, the ton-of-coal profit coefficient can characterize the profit brought by at least part of the by-products produced in the planned production cycle, while reflecting the changing trend of the by-product output or profit situation between the planned production cycle and the current production cycle, that is, when the ton-of-coal profit coefficient is high, it means that the by-product profit situation of the planned production cycle is good, and the by-product output or profit situation is likely to form an increasing trend compared with the current production cycle. On the contrary, when the ton-of-coal profit coefficient is low, it means that the by-product profit situation of the planned production cycle is poor, and the by-product output or profit situation is likely to form a decreasing trend compared with the current production cycle, thereby improving the reference value of the ton-of-coal profit coefficient in production efficiency analysis.

[0065] It is understandable that the aforementioned coking by-products include but are not limited to tar and coke oven gas, etc. Accordingly, the aforementioned by-product unit price information includes at least one of the single by-product price information such as tar unit price information and gas unit price information.

[0066] It is understandable that there are many ways to obtain the by-product unit price information and the second volatile content information, which can be selected in combination with actual conditions and are not limited here. The second volatile content information can be a constant.

[0067] In a feasible implementation manner, the by-product unit price information includes gas unit price information and tar unit price information.

[0068] Specifically, in actual production, coking by-products include but are not limited to coke oven gas, tar, crude benzene, etc. The unit price of crude benzene is generally higher than that of tar, but the yield of tar is higher than that of crude benzene, so the overall income of tar is usually higher than that of crude benzene; although the price of tar gas is relatively low, the output is relatively high, so tar gas also has good overall income; in addition to the aforementioned coke oven gas, tar, and crude benzene, the output and price of other by-products are relatively low, so the income brought by other by-products accounts for a relatively low proportion in the overall income of coking by-products. Based on this, the aforementioned by-product unit price information can be set to include gas unit price information and tar unit price information, the gas unit price information is used to indicate the unit price of coke oven gas, and the tar unit price information is used to indicate the unit price of tar, so that the ton coal profit coefficient can more specifically reflect the income brought by coke oven gas and tar, and can more accurately reflect the overall income brought by coking by-products while reducing the amount of calculation of the ton coal profit coefficient in the determination process, which is conducive to improving the efficiency of determining the ton coal profit coefficient.

[0069] It can be understood that the aforementioned gas unit price information and tar unit price information may be unit price information during the current production cycle.

[0070] For example, the above-mentioned ton coal revenue coefficient can be determined based on formula (2), which is as follows:

[0071] S=[a+b×(100v daf1 -100v daf2 )]×A1+[c+d×(100v daf1 -100v daf2 )]×(A2 / 0.454)(2)

[0072] Among them, v daf2 A1 is the price of tar, expressed in yuan / t; A2 is the price of coke oven gas, expressed in yuan / km 3 ; a, b, c and d are all constants, a can be -0.057961, b can be 0.005688, c can be 0.0833758, and d can be 0.0024493.

[0073] In a feasible implementation manner, the number of planned coke production information is multiple, and the step of determining the coal blending structure of the incoming coal in the planned production cycle according to the ton coal revenue coefficient includes:

[0074] When the ton-coal profit coefficients corresponding to multiple planned coke production information are all positive or negative, the largest ton-coal profit coefficient is used as the first expected profit coefficient;

[0075] The coal blending structure of the incoming coal in the planned production cycle is determined according to the first volatile matter information corresponding to the first expected profit coefficient.

[0076] Specifically, the number of planned coke production information can be multiple, and the multiple planned coke production information are respectively used to represent the coke production of multiple planned production cycles; combined with the foregoing, it can be understood that in actual production, the coke production expected to be achieved within the planned production cycle is usually a production range, and accordingly, the coke production of multiple planned production cycles all conform to the aforementioned production range.

[0077] Based on this, in the process of determining the aforementioned coal blending structure according to the ton of coal profit coefficient, the positive and negative values ​​of multiple ton of coal profit coefficients can be determined first; when the ton of coal profit coefficients corresponding to multiple planned coke output information are all positive, it means that when the volatile matter of the coal entering the furnace in the planned production cycle matches one of the first volatile matter information corresponding to the multiple ton of coal profit coefficients, the coking production in the planned production cycle can achieve the expected coke output and have good by-product profit. Accordingly, the coal blending structure of the coal entering the furnace in the planned production cycle can be determined according to the first volatile matter information corresponding to the largest ton of coal profit coefficient among the multiple ton of coal profit coefficients, so as to obtain higher by-product profit while ensuring that the planned production cycle can achieve the expected coke output, thereby further improving the production efficiency of the planned production cycle. production efficiency and improve the production organization level of coking production; when the ton coal profit coefficients corresponding to multiple planned coking production information are all negative values, it means that when the volatile matter of the coal entering the furnace in the planned production cycle matches one of the first volatile matter information corresponding to the multiple ton coal profit coefficients, the coking production in the planned production cycle can achieve the expected coking output, but the by-product profit is low, and even negative profit is likely to occur. Therefore, the coal blending structure of the coal entering the furnace in the planned production cycle can be determined according to the first volatile matter information corresponding to the largest ton coal profit coefficient among the multiple ton coal profit coefficients, so as to ensure that the planned production cycle can achieve the expected coking output while obtaining higher by-product profit or reducing the probability of negative profit, thereby further improving the production efficiency of the planned production cycle and improving the production organization level of coking production.

[0078] It can be understood that when the ton-coal profit coefficients corresponding to multiple planned coke production information are all negative values, the first expected profit coefficient is the one with the smallest absolute value among the multiple ton-coal profit coefficients.

[0079] In a feasible implementation manner, the step of determining the coal blending structure of the incoming coal in the planned production cycle according to the ton coal revenue coefficient further includes:

[0080] When the ton-coal profit coefficients corresponding to the multiple planned coke production information include positive and negative values, the ton-coal profit coefficient closest to 0 is used as the second expected profit coefficient;

[0081] The coal blending structure of the incoming coal in the planned production cycle is determined according to the first volatile matter information corresponding to the second expected profit coefficient.

[0082] Specifically, when some of the multiple ton-coal profit coefficients are negative and some are positive, it means that the multiple ton-coal profit coefficients fluctuate in the vicinity of 0. Therefore, when the volatile matter of the coal entering the furnace in the planned production cycle matches one of the first volatile matter information corresponding to the multiple ton-coal profit coefficients, the coking production in the planned production cycle can achieve the desired coke output, but the probability of forming a higher positive by-product return or a lower negative by-product return is low. In this case, the coal blending structure of the coal entering the furnace in the planned production cycle can be determined according to the first volatile matter information corresponding to the ton-coal profit coefficient closest to 0 among the multiple ton-coal profit coefficients. On the one hand, it can avoid the by-product return being too low, thereby providing a guarantee for the production efficiency of the coking production. On the other hand, considering the possible output fluctuations in actual production, it can also avoid the situation where the coke output is insufficient due to the pursuit of higher by-product returns.

[0083] It should be noted that, when the coke production expected to be achieved within the planned production cycle is within a production range, the aforementioned multiple planned coke production information includes at least maximum planned coke production information and minimum planned coke production information, wherein the maximum planned coke production information is used to represent the maximum production within the aforementioned production range, and the minimum planned coke production information is used to represent the minimum production within the aforementioned production range, thereby facilitating the determination of the value range of the first volatile matter information and the value range of the per-ton coal revenue coefficient according to the aforementioned formula (1) and formula (2), respectively.

[0084] In a feasible implementation manner, the moisture content of the coal fed into the furnace is greater than or equal to 9.5% and less than or equal to 11.5%.

[0085] Specifically, during the coking operation, the moisture content of the coal entering the furnace can be controlled to be greater than or equal to 9.5% and less than or equal to 11.5%. On the one hand, this can prevent the moisture content of the coal entering the furnace from being too high, which will lead to an increase in the bulk density of the coal entering the furnace, an increase in the coke pores, and shrinkage gaps in the coke cake, which is beneficial to ensuring the quality of the generated coke and increasing the yield of coking by-products. On the other hand, it can prevent the moisture content of the coal entering the furnace from being too low, which is beneficial to shortening the time that the gaseous by-products are in a high-temperature state after generation during the coking process, thereby ensuring the yield of coking by-products, and reducing the energy consumption of the humidity adjustment process of the coal entering the furnace, further saving coking production costs.

[0086] It is understandable that in actual applications, the moisture content of the coal entering the furnace can be adjusted by natural drying or blending in the coal yard.

[0087] In a feasible implementation manner, the coal blending structure includes a coordinated coal ratio.

[0088] Specifically, the aforementioned coal blending structure may include a compound coal ratio. It can be understood that the coal entering the furnace may be a compound coal. Accordingly, the aforementioned compound coal ratio is used to indicate the type and proportion of the coal entering the furnace. Thus, the coal entering the furnace in the planned production cycle is blended based on the aforementioned coal blending structure. This can ensure that the volatile matter of the coal entering the furnace in the planned production cycle meets the corresponding first volatile matter information, thereby providing a guarantee for the coke output and by-product income in the planned production cycle.

[0089] As a specific example of a method for determining a coking coal blending structure provided by the present disclosure, the determination method may include:

[0090] Step S1: Obtaining the unit price of tar, the unit price of coke oven gas and the second volatile matter information;

[0091] Step S2: determining the adjustable range of the first volatile matter information according to the planned coke production information;

[0092] Step S3: Determine the value range of the ton of coal profit coefficient according to the adjustable range of the first volatile matter information. When all values ​​in the value range are positive, take the first volatile matter information corresponding to the largest ton of coal profit coefficient as the volatile matter index; when both positive and negative values ​​exist in the value range, take the first volatile matter information corresponding to the ton of coal profit coefficient closest to 0 as the volatile matter index; when all values ​​in the value range are negative, take the first volatile matter information corresponding to the ton of coal profit coefficient with the smallest absolute value as the volatile matter index;

[0093] Step S4: Determine the coal blending structure of the planned production cycle according to the volatile matter index.

[0094] For example, suppose the unit price of tar in the current production cycle is A1 = 4764 yuan / t, and the unit price of gas is A2 = 1800 yuan / km 3 , Volatile matter V of coal entering the furnace daf2 =26.90%, planned coal consumption M 煤 The coal consumption in the current production cycle is the same as 208823t, and the planned coke production information C 计 The range of is [158287.5t, 159862.5t]. Based on the above step S2, the first volatile content information V can be obtained according to formula (1): daf1 The adjustable range is [25.27%, 26.51%]; based on the above step S3, the value range of the ton coal profit coefficient S can be obtained according to formula (2) as [-5.6, 40.1]. It can be seen that the value range of S belongs to the situation where positive and negative values ​​coexist. Therefore, the first volatile matter information when S≈0 is taken as the volatile matter index, and the volatile matter index = 25.42%.

[0095] It should be noted that in practical applications, considering the influence of coal loading, thermal system, etc., the impact of volatile matter on coke production may vary. daf1 The adjustable range is related to the volatile content V of the coal entering the furnace during the current production cycle. daf2 When there is a contradiction between the two, for example, the volatile matter V of the coal fed into the furnace during the current production cycle daf2 In the first volatile information V daf1 If the first volatile information V daf1 The adjustable range is corrected to adjust the volatile matter index.

[0096] For example, if the first volatile information V daf1 The adjustable range is [25.27%, 26.51%], and the volatile matter V of the coal entering the furnace during the current production cycle daf2 = 26.41%, it can be seen that there is a large adjustment space in the direction of decreasing the volatile matter, and V daf1 The maximum value of the current adjustable range is related to V daf2 The difference between the first volatile matter information V daf1 The adjustable range is [25.27%, 26.51%], and the volatile matter V of the coal entering the furnace during the current production cycle daf2 = 25.30%, it can be seen that there is a large adjustment space in the direction of increasing the volatile matter, and V daf2 With V daf1 The difference between the minimum value of the current adjustable range, that is, 25.3%-25.27%=0.03%. Accordingly, the current adjustable range can be corrected to [(25.27%+0.03%), (26.51%+0.03%)], that is, [25.3%, 26.54%], and the value range of the per ton of coal profit coefficient can be calculated based on the corrected adjustable range.

[0097] like Figure 2 As shown, according to the second aspect of an embodiment of the present disclosure, a computer-readable storage medium 201 is proposed, and the computer-readable storage medium 201 stores a computer program 202. When the computer program 202 is executed, it implements the determination method proposed in any one of the first aspects above.

[0098] Since the computer-readable storage medium 201 proposed in the embodiment of the present disclosure is used to implement the determination method proposed in any one of the first aspects above, it has all the beneficial effects of the determination method and will not be elaborated here.

[0099] like Figure 3 As shown, according to the third aspect of an embodiment of the present disclosure, an electronic device 300 is proposed, comprising: a memory 301 storing a computer program; a processor 302 for executing the computer program; wherein, when the processor 302 executes the computer program, it implements the determination method proposed in any one of the first aspects above.

[0100] Since the electronic device 300 proposed in the embodiment of the present disclosure is used to implement the determination method proposed in any one of the first aspects above, it has all the beneficial effects of the determination method, which will not be elaborated here.

[0101] The present disclosure is described with reference to the flowcharts and / or block diagrams of the methods, apparatuses, and electronic devices according to the embodiments of the present disclosure; it should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as the combination of the processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions; these computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable process management device to generate a machine, so that the instructions executed by the processor of the computer or other programmable process management device generate instructions for implementing the process in the flowchart. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0102] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0103] In the several embodiments provided in the present disclosure, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the above-mentioned units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0104] In a typical configuration, an electronic device may include one or more processors (CPU), a memory, and a bus; the electronic device may also include an input / output interface, a network interface, and the like.

[0105] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip; the memory is an example of a storage medium.

[0106] Storage media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information; information can be computer-readable instructions, data structures, program modules or other data; examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device; as defined in this article, storage media does not include temporary computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0107] The terms "first", "second", "third", "fourth", etc. (if any) in the specification, claims and drawings of the present disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence; it should be understood that the numbers used in this way can be interchangeable under appropriate circumstances so that the embodiments described herein can be implemented in an order other than that illustrated or described herein.

[0108] It should be noted that, for the above-mentioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should know that the present disclosure is not limited by the order of the actions described, because according to the present disclosure, some steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present disclosure.

[0109] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, product or apparatus that includes a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, product or apparatus; in the absence of further restrictions, the elements defined by the sentence "comprises one..." does not exclude the presence of other identical elements in the process, method, product or apparatus that includes the elements.

[0110] Those skilled in the art should understand that the embodiments of the present disclosure may be provided as methods, devices or electronic devices; therefore, the present disclosure may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects; moreover, the present disclosure may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0111] Computer program codes for performing operations of the embodiments of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages, such as Common Lisp, Python, C++, Objective-C, Smalltalk, Delphi, Java, Swift, C#, Perl, Ruby, JavaScript, and PHP, conventional procedural programming languages, such as Fortran, ALGOL, COBOL, PL / I, BASIC, Pascal, and C, and any other programming languages, such as Lisp, Tcl, Prolog, Visual Basic.NET, SQL, and R; the program codes may be executed entirely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server; in the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).

[0112] The above embodiments are only used to illustrate the technical solutions of the present disclosure, rather than to limit them. Although the present disclosure has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present disclosure, and should all be included in the scope of the claims of the present disclosure.

Claims

1. A method for determining a coking coal blending structure, characterized in that: include: Acquiring planned coke production information, wherein the planned coke production information is used to indicate the coke production in the planned production cycle; Determining first volatile matter information according to the planned coke output information, wherein the first volatile matter information is used to represent the volatile matter of the coal fed into the furnace during the planned production cycle; Determining a coal-ton revenue coefficient for the planned production cycle according to the first volatile matter information; The coal blending structure of the incoming coal in the planned production cycle is determined based on the profit coefficient per ton of coal.

2. The method for determining the coking coal blending structure according to claim 1, characterized in that: The step of determining the first volatile matter information according to the planned coke output information comprises: Acquire planned coal consumption information, where the planned coal consumption information is used to indicate the planned consumption of coal entering the furnace during the planned production cycle; The first volatile matter information is determined according to the planned coke production information and the planned coal consumption information.

3. The method for determining the coking coal blending structure according to claim 1, characterized in that: The step of determining the ton coal profit coefficient of the planned production cycle according to the first volatile matter information comprises: Acquire by-product unit price information and second volatile matter information, wherein the by-product unit price information is used to indicate the unit price of the coking by-products in the current production cycle, and the second volatile matter information is used to indicate the volatile matter of the coal fed into the furnace in the current production cycle; The ton-of-coal profit coefficient of the planned production cycle is determined according to the by-product unit price information, the first volatile matter information and the second volatile matter information, wherein the ton-of-coal profit coefficient is positively correlated with the by-product unit price information and the first volatile matter information, and negatively correlated with the second volatile matter information.

4. The method for determining the coking coal blending structure according to claim 3, characterized in that: The by-product unit price information includes gas unit price information and tar unit price information.

5. The method for determining the coking coal blending structure according to claim 3, characterized in that: The number of the planned coke production information is multiple, and the step of determining the coal blending structure of the incoming coal in the planned production cycle according to the ton coal revenue coefficient includes: In the case that the ton-coal profit coefficients corresponding to the plurality of planned coke production information are all positive or all negative, the largest ton-coal profit coefficient is used as the first expected profit coefficient; The coal blending structure of the incoming coal in the planned production cycle is determined according to the first volatile matter information corresponding to the first expected profit coefficient.

6. The method for determining the coking coal blending structure according to claim 5, characterized in that: The step of determining the coal blending structure of the incoming coal in the planned production cycle according to the ton coal revenue coefficient also includes: In the case where the ton-coal profit coefficients corresponding to the plurality of planned coke production information include positive values ​​and negative values, the ton-coal profit coefficient closest to 0 is used as the second expected profit coefficient; The coal blending structure of the incoming coal in the planned production cycle is determined according to the first volatile matter information corresponding to the second expected profit coefficient.

7. The method for determining the coking coal blending structure according to any one of claims 1 to 6, characterized in that: The moisture content of the coal fed into the furnace is greater than or equal to 9.5% and less than or equal to 11.5%.

8. The method for determining the coking coal blending structure according to any one of claims 1 to 6, characterized in that: The coal blending structure includes a blending coal ratio.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed, the determination method according to any one of claims 1 to 8 is implemented.

10. An electronic device, characterized in that: include: a memory storing a computer program; A processor, configured to execute the computer program; Wherein, when executing the computer program, the processor implements the determination method according to any one of claims 1 to 8.

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