Coking coal blending method, system and storage medium for reducing blast furnace coke cost per ton of iron
By measuring and optimizing the performance index data of coking coal, formulating quality reference standards, and calculating the optimal combination coal formula using linear planning methods, the problem of the cost of blast furnace ton of iron coke in traditional coking coal mixing methods has not been reduced, and a lower cost of coke consumption in blast furnace ton of iron is achieved.
Patent Information
- Application Number
- CN202211571808.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-12-08
- Publication Date
- 2025-09-02
- Estimated Expiration
- 2042-12-08
AI Technical Summary
The traditional coking coal mixing method has failed to effectively reduce the cost of blast furnace ton iron coke, and ignores the impact of ash and sulfur on the coke ratio of blast furnace, resulting in the cost of coke may not be the lowest.
By measuring the performance index data of a single coking coal, formulating quality reference standards, using linear planning methods to calculate the optimal compound coal formula, considering the impact of coking ash content and sulfur content on the blast furnace ton iron-coke ratio, and optimizing the cost accounting process of coking coal mixing.
The cost of coke ton of iron in blast furnace has been achieved, and the cost of coke ton of iron in blast furnace has been further reduced by taking into account the impact of coke indicators and the amount of coke ton of iron in blast furnace is further reduced.
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Figure CN115976293B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of coking coal blending, and in particular to a coking coal blending method, system and storage medium for reducing the cost of coke per ton of iron in a blast furnace. Background Art
[0002] Coke plays an irreplaceable role in the blast furnace's internal framework. Improving coke quality can improve blast furnace process specifications, but this also increases coking costs due to the need to incorporate more expensive, high-quality coking fat coal into the blend. Steel companies often develop their own quality control standards for blended coal during coking. Based on these standards, they fine-tune ash content, volatile matter, sulfur content, cohesiveness index, colloidal layer thickness, and blended coal price to produce qualified coke that meets blast furnace production needs.
[0003] The traditional coking coal blending method often optimizes coal blending based on the factory-controlled coke quality standards with the goal of minimizing the blending coal cost. However, this method ignores the impact of ash and sulfur content on the blast furnace coke ratio under the same M40 and CSR indicators, and the actual coke cost consumed by molten iron is not necessarily the lowest. Summary of the Invention
[0004] The object of the present invention is to provide a coking coal blending method, system and storage medium for reducing the cost of coke per ton of iron in a blast furnace.
[0005] The present invention provides a coking coal blending method for reducing the cost of coke per ton of iron in a blast furnace, which comprises the following steps:
[0006] Determine the performance index data of a single type of coking coal, including dry basis ash and dry basis sulfur content, and obtain the real-time price of a single type of coking coal;
[0007] Develop standard blended coal based on historical data and use it as a quality reference;
[0008] Under the condition that the performance index data of coking coal meet the quality reference standard, the blending coal formula with the lowest price, the blending coal formula with the lowest dry basis ash content and the blending coal formula with the lowest dry basis sulfur content are calculated respectively;
[0009] For the lowest-priced blended coal formula, the lowest dry-basis ash content blended coal formula, and the lowest dry-basis sulfur content blended coal formula, respectively calculate the coke index of the three blended coals and the standard blended coal formula, and respectively calculate the blast furnace coke ratio of the three blended coals;
[0010] Based on the coke index and the blast furnace ton iron to coke ratio, the ton iron coke fuel cost of the lowest price blended coal formula, the lowest dry basis ash content blended coal formula and the lowest dry basis sulfur content blended coal formula is calculated, and the one with the lowest ton iron coke fuel cost among the three is selected as the optimal blended coal formula.
[0011] As a further improvement of the present invention, the determination of the performance index data of a single type of coking coal specifically includes:
[0012] The dry basis ash content, dry basis volatile matter, dry basis sulfur content, caking index and gelatinous layer thickness of a single type of coking coal are measured as performance index data, and its real-time price is recorded.
[0013] As a further improvement of the present invention, the standard blended coal is formulated based on historical data and used as a quality reference standard, specifically including:
[0014] Based on historical data, the standard dry basis ash content, standard dry basis volatile matter, standard dry basis sulfur content, standard adhesiveness index, standard gelatinous layer thickness and standard price, standard coking coal ratio, and standard fat coal ratio of blended coal are selected as quality reference standards.
[0015] As a further improvement of the present invention, under the condition that the coking coal performance index data meets the quality reference standard, the lowest price blended coal formula, the lowest dry basis ash content blended coal formula and the lowest dry basis sulfur content blended coal formula are calculated respectively, specifically including:
[0016] Based on the linear programming method, the performance index data of each coking coal in the blended coal are restricted according to the following conditions:
[0017] Coking coal dry basis ash content ≤ standard dry basis ash content, coking coal dry basis volatile matter ≤ standard dry basis volatile matter, dry basis sulfur content ≤ standard dry basis sulfur content, coking coal caking index ≥ standard caking index, coking coal colloidal layer thickness ≥ standard colloidal layer thickness, coking coal market price ≤ standard price, coking coal ratio in blending coal ≥ standard coking coal ratio, fat coal ratio in blending coal ≥ standard fat coal ratio;
[0018] Under the condition of meeting the restriction standards, the lowest price blended coal formula, the lowest dry basis ash content blended coal formula and the lowest dry basis sulfur content blended coal formula are calculated, and the dry basis ash content, dry basis sulfur content, dry basis volatile matter and formula cost of the three blended coal formulas and several standard blended coals are calculated.
[0019] As a further improvement of the present invention, the coke indexes of the three and the standard blend coal are calculated separately, specifically including:
[0020] The coke cost, coke ash content, and coke sulfur content of the lowest-priced blended coal formula, the lowest dry-basis ash content, the lowest dry-basis sulfur content, and the standard blended coal are calculated using the following formulas:
[0021] P coke = P match × 100 / (101 - Vd match)
[0022] Ad coke = Ad coke × 100 / (101-Vd coke)
[0023] St,d jiao = St,d cai × 0.9
[0024] Among them, P coke is the coke cost, P mix is the formula cost, Vd mix is the formula dry basis volatile matter, Ad coke is the coke ash content, Ad mix is the formula ash content, Vd mix is the formula dry basis volatile matter, St,d coke is the coke sulfur content, and St,d mix is the formula sulfur content.
[0025] As a further improvement of the present invention, the calculation of the three blast furnace iron-ton coke ratios specifically includes:
[0026] Obtain the standard blast furnace iron-ton-coke ratio corresponding to the production of coke using standard blended coal;
[0027] The blast furnace iron-per-ton coke ratio for the coke cost of the lowest-priced blended coal formula, the lowest dry basis ash content blended coal formula, the lowest dry basis sulfur content blended coal formula, and the standard blended coal is calculated using the following formula:
[0028] CR actual = CR standard × (1-(St,d joules.standard-St,d joules) × 0.2-(Ad joules.standard-Ad joules) × 0.023)
[0029] Among them, CR is the actual blast furnace coke ratio per ton of iron, CR is the standard blast furnace coke ratio per ton of iron, St,d coke is the sulfur content of standard blended coal coke, St,d coke is the sulfur content of formulated coke, Ad coke is the ash content of standard blended coal coke, and Ad coke is the ash content of formulated coke.
[0030] As a further improvement of the present invention, the fuel cost per ton of iron and coke of the blended coal formula with the lowest price, the blended coal formula with the lowest dry basis ash content, and the blended coal formula with the lowest dry basis sulfur content is calculated based on the coke index and the blast furnace iron and coke ratio, specifically including:
[0031] The fuel cost per ton of iron coke for the lowest price blended coal formula, the lowest dry basis ash content blended coal formula, and the lowest dry basis sulfur content blended coal formula is calculated using the following formula:
[0032] P fuel = P coke × CR real
[0033] Among them, P fuel is the cost of one ton of iron coke fuel in the formula.
[0034] As a further improvement of the present invention, the standard blast furnace iron-to-coke ratio is empirical data calculated based on production conditions.
[0035] The present invention also provides a coking coal blending system for reducing the cost of coke per ton of iron in a blast furnace, which comprises:
[0036] a data storage module configured to store the measured performance index data of a single type of coking coal, including the dry basis ash content and dry basis sulfur content of the single type of coking coal, and obtain the real-time price of the single type of coking coal;
[0037] A standard setting module configured to set standard blended coal based on historical data and used as a quality reference standard;
[0038] a calculation module configured to calculate the lowest price blended coal formula, the lowest dry basis ash content blended coal formula, and the lowest dry basis sulfur content blended coal formula, respectively, under the condition that the coking coal performance index data meets the quality reference standard;
[0039] And for the lowest-priced blended coal formula, the lowest dry-basis ash content blended coal formula, and the lowest dry-basis sulfur content blended coal formula, respectively calculate the coke index of the three blended coals and the standard blended coal formula, and respectively calculate the blast furnace coke ratio of the three blended coals;
[0040] Based on the coke index and the blast furnace ton iron to coke ratio, the ton iron coke fuel cost of the lowest price blended coal formula, the lowest dry basis ash content blended coal formula and the lowest dry basis sulfur content blended coal formula is calculated, and the one with the lowest ton iron coke fuel cost among the three is selected as the optimal blended coal formula.
[0041] The present invention also provides a storage medium storing executable instructions, characterized in that the executable instructions, when executed by a processor, implement the above-mentioned method for coking coal blending per ton of iron coke in a blast furnace.
[0042] The beneficial effects of the present invention are as follows: the present invention extends the cost accounting calculation process of coking coal blending to the blast furnace ironmaking process, and increases the influence of changes in coke ash and sulfur content on the blast furnace coke ratio per ton of iron, and comprehensively considers the influence of coke indicators and blast furnace coke consumption on costs, thereby further reducing the coke cost per ton of iron in the blast furnace. BRIEF DESCRIPTION OF THE DRAWINGS
[0043] Figure 1 It is a schematic diagram of the steps of a coking coal blending method for reducing the cost of coke per ton of iron in a blast furnace in one embodiment of the present invention. DETAILED DESCRIPTION
[0044] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the specific embodiments of the present invention and the corresponding drawings. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.
[0045] The embodiments of the present invention are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention and are not to be construed as limiting the present invention.
[0046] This embodiment provides a coking coal blending method for reducing the coke cost per ton of iron in a blast furnace. Compared with the traditional coking coal blending method in which coal blending is optimized with the goal of minimizing the blending coal cost, this method extends the coking coal blending cost accounting calculation process to the blast furnace ironmaking process, and increases the impact of changes in coke ash and sulfur content on the coke ratio per ton of iron in the blast furnace, and comprehensively considers the impact of coke indicators and blast furnace coke consumption on costs, thereby further reducing the coke cost per ton of iron in the blast furnace.
[0047] like Figure 1 As shown, the method for coking coal blending per ton of iron coke in a blast furnace comprises the following steps:
[0048] S1: Determine the performance index data of a single type of coking coal, including the dry basis ash content and dry basis sulfur content of the single type of coking coal, and obtain the real-time price of the single type of coking coal.
[0049] S2: Develop standard blended coal based on historical data and use it as a quality reference.
[0050] S3: Under the condition that the performance index data of coking coal meet the quality reference standards, the lowest price blending coal formula, the lowest dry basis ash content blending coal formula and the lowest dry basis sulfur content blending coal formula are calculated respectively.
[0051] S4: For the blended coal formula with the lowest price, the blended coal formula with the lowest dry basis ash content, and the blended coal formula with the lowest dry basis sulfur content, calculate the coke indicators of the three and the standard blended coal respectively, and calculate the blast furnace coke ratio of the three respectively.
[0052] S5: Based on the coke index and the blast furnace ton iron to coke ratio, calculate the ton iron coke fuel cost of the lowest price blended coal formula, the lowest dry basis ash content blended coal formula and the lowest dry basis sulfur content blended coal formula, and select the one with the lowest ton iron coke fuel cost as the optimal blended coal formula.
[0053] In step S1, it specifically includes:
[0054] The dry basis ash content, dry basis volatile matter, dry basis sulfur content, caking index and gelatinous layer thickness of a single type of coking coal are measured as performance index data, and its real-time price is recorded.
[0055] Coking coal refers to commercially available raw coal used to produce a certain quality of coke under coke oven conditions. Its performance indicators are measured and recorded in the database as a reference for subsequent price calculations. Ash is the residue remaining after complete combustion of the coal; volatile matter is the mass loss of the coal after moisture correction when heated in an airtight environment under specified conditions; sulfur is the sulfur content of the coal after conversion to elemental sulfur from various sulfur-containing compounds; the caking index characterizes the ability of bituminous coal to bond to special anthracite coal after heating under specified conditions; and the colloidal layer thickness is the thickness of the colloidal layer that forms continuously during the coking process.
[0056] In addition to the above performance indicators, in other embodiments of the present invention, other performance indicators such as crushing strength, reactivity, etc. can also be measured according to the need to judge the quality of coal.
[0057] In step S2, it specifically includes:
[0058] Based on historical data, the standard dry basis ash content, standard dry basis volatile matter, standard dry basis sulfur content, standard adhesiveness index, standard gelatinous layer thickness and standard price, standard coking coal ratio, and standard fat coal ratio of blended coal are selected as quality reference standards.
[0059] By analyzing historical data, quality reference standards for the corresponding data are formulated based on the performance index data measured in step S1. The quality reference standards and coal type ratios can be adaptively adjusted at any time according to actual production needs and market changes.
[0060] In step S3, it specifically includes:
[0061] Based on the linear programming method, the performance index data of each coking coal in the blended coal are restricted according to the following conditions:
[0062] Coking coal dry basis ash content ≤ standard dry basis ash content, coking coal dry basis volatile matter ≤ standard dry basis volatile matter, dry basis sulfur content ≤ standard dry basis sulfur content, coking coal caking index ≥ standard caking index, coking coal colloidal layer thickness ≥ standard colloidal layer thickness, coking coal market price ≤ standard price, proportion of coking coal in blending coal ≥ standard coking coal proportion, proportion of fat coal in blending coal ≥ standard fat coal proportion.
[0063] Under the condition of meeting the above-mentioned restriction standards, the lowest price blended coal formula, the lowest dry basis ash content blended coal formula and the lowest dry basis sulfur content blended coal formula are calculated, and the dry basis ash content, dry basis sulfur content, dry basis volatile matter and formula cost of the three blended coal formulas and several standard blended coals are calculated.
[0064] Based on a linear programming approach, a method for finding the maximum or minimum value of a linear objective function within the constraints of the aforementioned inequalities is used. By defining intervals that satisfy these constraints, the lowest-priced blended coal formula, the lowest dry-basis ash content, and the lowest dry-basis sulfur content are calculated. These three candidate blended coal formulas are then used for subsequent price comparison.
[0065] In step S4, the coke indexes of the three and the standard blend coal are calculated respectively, including:
[0066] The coke cost, coke ash content, and coke sulfur content of the lowest-priced blended coal formula, the lowest dry-basis ash content, the lowest dry-basis sulfur content, and the standard blended coal are calculated using the following formulas:
[0067] P coke = P match × 100 / (101 - Vd match)
[0068] Ad coke = Ad coke × 100 / (101-Vd coke)
[0069] St,d jiao = St,d cai × 0.9
[0070] Among them, P coke is the coke cost, P mix is the formula cost, Vd mix is the formula dry basis volatile matter, Ad coke is the coke ash content, Ad mix is the formula ash content, Vd mix is the formula dry basis volatile matter, St,d coke is the coke sulfur content, and St,d mix is the formula sulfur content.
[0071] Furthermore, in step S4, the blast furnace iron-to-coke ratio of the three is calculated respectively, specifically including:
[0072] Obtain the standard blast furnace iron-to-coke ratio corresponding to the production of coke using standard blended coal.
[0073] The blast furnace iron-per-ton coke ratio for the coke cost of the lowest-priced blended coal formula, the lowest dry basis ash content blended coal formula, the lowest dry basis sulfur content blended coal formula, and the standard blended coal is calculated using the following formula:
[0074] CR actual = CR standard × (1-(St,d joules.standard-St,d joules) × 0.2-(Ad joules.standard-Ad joules) × 0.023)
[0075] Among them, CR is the actual blast furnace coke ratio per ton of iron, CR is the standard blast furnace coke ratio per ton of iron, St,d coke is the sulfur content of standard blended coal coke, St,d coke is the sulfur content of formulated coke, Ad coke is the ash content of standard blended coal coke, and Ad coke is the ash content of formulated coke.
[0076] The standard blast furnace iron-to-coke ratio is empirical data calculated based on production conditions.
[0077] In step S5, it specifically includes:
[0078] The fuel cost per ton of iron coke for the lowest price blended coal formula, the lowest dry basis ash content blended coal formula, and the lowest dry basis sulfur content blended coal formula is calculated using the following formula:
[0079] P fuel = P coke × CR real
[0080] Among them, P fuel is the cost of one ton of iron coke fuel in the formula.
[0081] Through steps S4 and S5, the impact of coke ash and sulfur content on blast furnace coke consumption is further considered when considering the blending coal specifications for coke M40 and CSR. In existing coal blending processes, while plans formulated based on blending coal specifications can meet blast furnace production needs, the reduction in coke production costs after adding low-cost, high-sulfur, high-ash coking coal is accompanied by an increase in blast furnace coke consumption per ton of iron. Therefore, in the formula: Pfuel = Pcoke × CRreal, the lowest value of a single variable is not necessarily the lowest overall value. Therefore, in this case, comprehensively considering the changes in coke specifications and blast furnace coke consumption can truly achieve the lowest overall system cost.
[0082] Based on the same inventive concept, this embodiment also provides a coking coal blending system for reducing the cost of coke per ton of iron in a blast furnace, which comprises:
[0083] a data storage module configured to store the measured performance index data of a single type of coking coal, including the dry basis ash content and dry basis sulfur content of the single type of coking coal, and obtain the real-time price of the single type of coking coal;
[0084] A standard setting module configured to set standard blended coal based on historical data and used as a quality reference standard;
[0085] a calculation module configured to calculate the lowest price blended coal formula, the lowest dry basis ash content blended coal formula, and the lowest dry basis sulfur content blended coal formula, respectively, under the condition that the coking coal performance index data meets the quality reference standard;
[0086] And for the lowest-priced blended coal formula, the lowest dry-basis ash content blended coal formula, and the lowest dry-basis sulfur content blended coal formula, respectively calculate the coke index of the three blended coals and the standard blended coal formula, and respectively calculate the blast furnace coke ratio of the three blended coals;
[0087] Based on the coke index and the blast furnace ton iron to coke ratio, the ton iron coke fuel cost of the lowest price blended coal formula, the lowest dry basis ash content blended coal formula and the lowest dry basis sulfur content blended coal formula is calculated, and the one with the lowest ton iron coke fuel cost among the three is selected as the optimal blended coal formula.
[0088] Based on the same inventive concept, this embodiment further provides a storage medium storing executable instructions, characterized in that when the executable instructions are executed by a processor, the above-mentioned method for coking coal blending per ton of iron in a blast furnace is implemented.
[0089] The following is a specific example to further illustrate the coking coal blending method for reducing the cost of coke per ton of iron in a blast furnace.
[0090] The dry basis ash content Ad, dry basis volatile matter Vd, dry basis sulfur content St,d, cohesiveness index G, and colloidal layer thickness Y of a single type of coking coal commonly used on the market were measured, and the real-time market price P of the single type of coal was obtained. The results are shown in Table 1.
[0091] Coal Type Ad / % Vd / % St,d / % G Y / mm P / yuan / t Coking coal 1 9.3 20.86 0.35 75 13 2450 Coking coal 2 10.49 19.73 0.64 92 18 2500 Coking coal 3 10.2 22.90 1.35 91 20 2398 Coking coal 4 10.6 18.42 1.7 79 14 2200 Coking coal 5 10.3 18.84 1.7 82 13 2300 Fat coal 1 10.3 28.26 1.7 92 23 2271 Fat Coal 2 10 26.55 0.76 92 23.5 2447 Fat Coal 3 10.69 29.19 1.63 91 21.5 2200 1 / 3 coking coal 1 8.8 33.74 0.65 76 13 1800 1 / 3 coking coal 2 8.1 33.27 0.65 78 13 2021 Lean coking coal 1 10.7 16.07 0.2 75 8 2150 Lean coking coal 2 9.5 16.29 0.6 55 8 1989
[0092] Table 1
[0093] Based on historical data, the quality reference standards for blended coal were selected: standard dry basis ash content Ad, standard dry basis volatile matter Vd, standard dry basis sulfur content St,d, standard adhesion index G, standard colloid layer thickness Y and standard price P, standard coking coal ratio a, and standard fat coal ratio b. The results are shown in Table 2.
[0094] Ad standard / % Vd standard / % St,d standard / % G mark Y mark / mm P standard / yuan / t a standard / % b standard / % 9.85 23.8 1.08 81.7 15.6 2222 49 20
[0095] Table 2
[0096] Based on the linear programming method, the performance index data of each coking coal in the blended coal are restricted according to the following conditions:
[0097] Coking coal dry basis ash content ≤ standard dry basis ash content, coking coal dry basis volatile matter ≤ standard dry basis volatile matter, dry basis sulfur content ≤ standard dry basis sulfur content, coking coal caking index ≥ standard caking index, coking coal colloidal layer thickness ≥ standard colloidal layer thickness, coking coal market price ≤ standard price, proportion of coking coal in blending coal ≥ standard coking coal proportion, proportion of fat coal in blending coal ≥ standard fat coal proportion.
[0098] Under the condition of meeting the above-mentioned restriction standards, the lowest price blended coal formula, the lowest dry basis ash content blended coal formula and the lowest dry basis sulfur content blended coal formula are calculated, and the dry basis ash content AD blended coal formula, dry basis sulfur content Vd blended coal formula, dry basis volatile matter St,d blended coal formula and formula cost P blended coal formula of the three blended coal formulas and several standard blended coals are calculated. The calculation results are shown in Table 3.
[0099] plan Ad allocation / % Vd ratio / % St,d / % P / yuan / t Lowest cost of blended coal 9.8 23.8 1.06 2208 Minimum ash content 9.74 23.8 1.06 2222 Minimum sulfur content 9.8 23.8 0.92 2222
[0100] Table 3
[0101] The coke indicators corresponding to the three schemes and standard blend coal are calculated respectively, and the calculation results are shown in Table 4.
[0102] plan P joules / yuan / t Ad joules / % St,d joules / % Standard blend coal 2878 12.76 0.97 Lowest cost of blended coal 2860 12.69 0.95 Minimum ash content 2878 12.62 0.95 Minimum sulfur content 2878 12.69 0.83
[0103] Table 4
[0104] The CR standard of the blast furnace coke ratio per ton of iron corresponding to the production of coke with standard blended coal is obtained, and the CR actual of the blast furnace coke ratio per ton of iron under different coke ash and sulfur contents of the three schemes is calculated. The calculation results are shown in Table 5.
[0105] plan Standard blend coal Lowest cost of blended coal Minimum ash content Minimum sulfur content Coke ratio CR / kg / t 360 358 357 349
[0106] Table 5
[0107] The fuel cost Pfuel per ton of iron coke for the blast furnace is calculated for the reference standard scheme and the three optimized schemes. The calculation results are shown in Table 6. According to the lowest value of Pfuel, the lowest sulfur content scheme is selected as the optimal coal blending scheme.
[0108] plan Standard blend coal Lowest cost of blended coal Minimum ash content Minimum sulfur content Cost of iron coke per ton P / yuan / t 1036 1024 1027 1004
[0109] Table 6
[0110] In summary, this embodiment extends the cost accounting calculation process of coking coal blending to the blast furnace ironmaking process, and increases the impact of changes in coke ash and sulfur content on the blast furnace coke ratio per ton of iron, comprehensively considering the impact of coke indicators and blast furnace coke consumption on costs, thereby further reducing the coke cost per ton of iron in the blast furnace.
[0111] It should be understood that although this specification is described in terms of implementation methods, not every implementation method contains only one independent technical solution. This narrative method of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each implementation method can also be appropriately combined to form other implementation methods that can be understood by those skilled in the art.
[0112] The series of detailed descriptions listed above are only specific descriptions of feasible implementation methods of the present invention and are not intended to limit the scope of protection of the present invention. Any equivalent implementation methods or changes that do not deviate from the technical spirit of the present invention should be included in the scope of protection of the present invention.
Claims
1. A method for coking coal blending to reduce the cost of coke per ton of iron in a blast furnace, characterized in that: Including steps: Determine the performance index data of a single type of coking coal, including dry basis ash and dry basis sulfur content, and obtain the real-time price of a single type of coking coal; Develop standard blended coal based on historical data and use it as a quality reference; Under the condition that the performance index data of coking coal meet the quality reference standard, the blending coal formula with the lowest price, the blending coal formula with the lowest dry basis ash content and the blending coal formula with the lowest dry basis sulfur content are calculated respectively; For the lowest-priced blended coal formula, the lowest dry-basis ash content blended coal formula, and the lowest dry-basis sulfur content blended coal formula, respectively calculate the coke index of the three blended coals and the standard blended coal formula, and respectively calculate the blast furnace coke ratio of the three blended coals; Based on the coke index and the blast furnace ton iron coke ratio, calculate the ton iron coke fuel cost of the lowest price blended coal formula, the lowest dry basis ash content blended coal formula, and the lowest dry basis sulfur content blended coal formula, and select the one with the lowest ton iron coke fuel cost as the optimal blended coal formula; Among them, coke indicators include coke cost, coke ash content and coke sulfur content.
2. The method for coking coal blending for reducing the cost of coke per ton of iron in a blast furnace according to claim 1, characterized in that: The performance index data of a single type of coking coal is specifically measured including: The dry basis ash content, dry basis volatile matter, dry basis sulfur content, caking index and gelatinous layer thickness of a single type of coking coal are measured as performance index data, and its real-time price is recorded.
3. The method for coking coal blending for reducing the cost of coke per ton of iron in a blast furnace according to claim 2, characterized in that: The standard blend coal is formulated based on historical data and used as a quality reference standard, specifically including: Based on historical data, the standard dry basis ash content, standard dry basis volatile matter, standard dry basis sulfur content, standard adhesiveness index, standard gelatinous layer thickness and standard price, standard coking coal ratio, and standard fat coal ratio of blended coal are selected as quality reference standards.
4. The method for coking coal blending for reducing the cost of coke per ton of iron in a blast furnace according to claim 3, characterized in that: Under the condition that the coking coal performance index data meets the quality reference standard, the lowest price blended coal formula, the lowest dry basis ash content blended coal formula and the lowest dry basis sulfur content blended coal formula are calculated respectively, specifically including: Based on the linear programming method, the performance index data of each coking coal in the blended coal are restricted according to the following conditions: Coking coal dry basis ash content ≤ standard dry basis ash content, coking coal dry basis volatile matter ≤ standard dry basis volatile matter, dry basis sulfur content ≤ standard dry basis sulfur content, coking coal caking index ≥ standard caking index, coking coal colloidal layer thickness ≥ standard colloidal layer thickness, coking coal market price ≤ standard price, coking coal ratio in blending coal ≥ standard coking coal ratio, fat coal ratio in blending coal ≥ standard fat coal ratio; Under the condition of meeting the restriction standards, the lowest price blended coal formula, the lowest dry basis ash content blended coal formula and the lowest dry basis sulfur content blended coal formula are calculated, and the dry basis ash content, dry basis sulfur content, dry basis volatile matter and formula cost of the three blended coal formulas and several standard blended coals are calculated.
5. The method for coking coal blending for reducing the cost of coke per ton of iron in a blast furnace according to claim 1, characterized in that: The coke indexes of the three and standard blend coal are calculated separately, specifically including: The coke cost, coke ash content, and coke sulfur content of the lowest-priced blended coal formula, the lowest dry-basis ash content, the lowest dry-basis sulfur content, and the standard blended coal are calculated using the following formulas: P coke = P match × 100 / (101 - Vd match) Ad coke = Ad equivalence × 100 / (101- Vd equivalence) St,d = St,d × 0.9 Among them, P coke is the coke cost, P mix is the formula cost, Vd mix is the formula dry basis volatile matter, Ad coke is the coke ash content, Ad mix is the formula ash content, Vd mix is the formula dry basis volatile matter, St,d coke is the coke sulfur content, and St,d mix is the formula sulfur content.
6. The method for coking coal blending for reducing the cost of coke per ton of iron in a blast furnace according to claim 5, characterized in that: The calculation of the three blast furnace iron-to-coke ratios specifically includes: Obtain the standard blast furnace iron-ton-coke ratio corresponding to the production of coke using standard blended coal; The blast furnace iron-per-ton coke ratio for the coke cost of the lowest-priced blended coal formula, the lowest dry basis ash content blended coal formula, the lowest dry basis sulfur content blended coal formula, and the standard blended coal is calculated using the following formula: CR actual = CR standard × (1-(St,d joules.standard-St,d joules) × 0.2-(Ad joules.standard-Ad joules) × 0.023) Among them, CR is the actual blast furnace coke ratio per ton of iron, CR is the standard blast furnace coke ratio per ton of iron, St,d coke is the sulfur content of standard blended coal coke, St,d coke is the sulfur content of formulated coke, Ad coke is the ash content of standard blended coal coke, and Ad coke is the ash content of formulated coke.
7. The method for coking coal blending for reducing the cost of coke per ton of iron in a blast furnace according to claim 6, characterized in that: The fuel cost per ton of iron and coke of the lowest-priced blended coal formula, the lowest dry basis ash content blended coal formula, and the lowest dry basis sulfur content blended coal formula calculated based on the coke index and the blast furnace iron and coke ratio specifically includes: The fuel cost per ton of iron coke for the lowest price blended coal formula, the lowest dry basis ash content blended coal formula, and the lowest dry basis sulfur content blended coal formula is calculated using the following formula: P fuel = P coke × CR real Among them, P fuel is the cost of one ton of iron coke fuel in the formula.
8. The method for coking coal blending for reducing the cost of coke per ton of iron in a blast furnace according to claim 5, characterized in that: The standard blast furnace iron-to-coke ratio is empirical data calculated based on production conditions.
9. A coking coal blending system for reducing the cost of coke per ton of iron in a blast furnace, characterized in that: include: a data storage module configured to store the measured performance index data of a single type of coking coal, including the dry basis ash content and dry basis sulfur content of the single type of coking coal, and obtain the real-time price of the single type of coking coal; A standard setting module configured to set standard blended coal based on historical data and used as a quality reference standard; a calculation module configured to calculate the lowest price blended coal formula, the lowest dry basis ash content blended coal formula, and the lowest dry basis sulfur content blended coal formula, respectively, under the condition that the coking coal performance index data meets the quality reference standard; And for the lowest-priced blended coal formula, the lowest dry-basis ash content blended coal formula, and the lowest dry-basis sulfur content blended coal formula, respectively calculate the coke index of the three blended coals and the standard blended coal formula, and respectively calculate the blast furnace coke ratio of the three blended coals; Based on the coke index and the blast furnace ton iron to coke ratio, the ton iron coke fuel cost of the lowest price blended coal formula, the lowest dry basis ash content blended coal formula and the lowest dry basis sulfur content blended coal formula is calculated, and the one with the lowest ton iron coke fuel cost among the three is selected as the optimal blended coal formula.
10. A storage medium storing executable instructions, characterized in that: When the executable instructions are executed by the processor, the coking coal blending method for reducing the cost of coke per ton of iron in a blast furnace as described in any one of claims 1 to 8 is implemented.
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