A sintered fuel procurement decision-making method and system based on a multi-dimensional quantification model

Abstract

A sintering fuel procurement decision-making method and system based on a multi-dimensional quantification model, comprising the following steps: obtaining fuel parameters of a sintering fuel to be evaluated; based on the fuel parameters, respectively calculating a sulfur content cost influence value, a particle size cost influence value and a calorific value cost influence value of the sintering fuel to be evaluated; according to the sulfur content cost influence value, the particle size cost influence value and the calorific value cost influence value, calculating a comprehensive cost performance evaluation value of the sintering fuel to be evaluated; and according to the comprehensive cost performance evaluation value, generating a procurement decision-making suggestion for the sintering fuel to be evaluated. The present application converts the implicit cost transmission relationship in the metallurgical process which depends on artificial experience into an accurate mathematical function by constructing a three-dimensional quantification model covering the sulfur content cost influence, the particle size cost influence and the calorific value cost influence, realizes one-key automatic calculation of the cost performance of the sintering fuel and parallel benchmarking of multiple materials, and effectively solves the problems of missing cost accounting dimension, single decision-making dimension and low management efficiency in the prior art.

Description

Technical Field

[0001] This invention relates to the field of iron and steel smelting technology, specifically to a sintering fuel procurement decision-making method and system based on a multi-dimensional quantitative model. Background Technology

[0002] Fuel costs in the sintering process of the steel industry account for 15% to 20% of the total sintering production cost, and the scientific nature of procurement decisions directly affects the overall cost of the entire ironmaking process. Currently, most domestic steel companies rely heavily on manual experience for sintering fuel procurement decisions, using only "purchase price" or "single quality indicators (such as ash content, sulfur content, and calorific value)" as the basis for decisions. They have not established a coupled correlation model of fuel "composition-combustion performance-production process cost," resulting in the following core pain points: 1. Current procurement decisions fail to quantify the transmission impact of implicit costs such as sulfur content, particle size distribution, calorific value, transit losses, and contract price adjustment clauses. Specifically, a deviation of fuel sulfur content from the benchmark value directly affects the desulfurization cost and molten iron quality in subsequent ironmaking processes; every 0.05% increase in sulfur content indirectly increases the cost per ton of iron by 0.0745 yuan. A deviation of fuel particle size distribution from the optimal range alters the permeability and combustion efficiency of the sintering bed, thereby increasing the solid fuel consumption in sintering. Transit losses vary significantly depending on the fuel origin (e.g., transit losses for fuels from specific origins such as Shanxi coal can reach 13 yuan / ton). Deductions or incentive conditions in contract price adjustment clauses also constitute actual cost increases or decreases. These implicit cost items are easily overlooked or miscalculated in traditional manual calculations due to the involvement of cross-process data correlation and complex process parameter conversions.

[0003] 2. Single-dimensional decision-making can easily lead to the problem of "low purchase price but higher overall production cost than high-quality fuel." For example, although the unit price of a certain batch of fuel is lower than the market average, its high sulfur content increases desulfurization costs in the ironmaking process, and its unreasonable particle size distribution leads to increased solid consumption in sintering. Therefore, the overall cost at the plant is actually higher than that of higher-quality fuel, which has a higher unit price. According to industry statistics, such decision-making errors can cause steel companies losses of 2% to 5% of their annual purchase amount.

[0004] 3. There are many types of sintering fuels (domestic sintering coal, medium-sulfur coal, anthracite, etc.), and the parameters of each batch are scattered. Manually comparing the cost-effectiveness of a single batch can take up to 1 hour, with an error rate as high as 15%. The lack of transparency in manual calculation can easily lead to corruption risks. When conducting cross-departmental assessments, disagreements often arise due to inconsistent standards, resulting in low collaboration efficiency.

[0005] Meanwhile, some existing technologies have attempted to apply quantitative models to the field of fuel or energy management. For example, Chinese patent application CN121258236A discloses an optimization management system for the speed and fuel mode switching strategy of methanol dual-fuel ships. This system assists ships in selecting fuel modes for each leg of their voyage by constructing a multi-objective function aimed at minimizing fuel consumption, total cost, and carbon emissions. This scheme constructs a physical model based on ship propulsion characteristics (ship resistance, propeller efficiency, speed-fuel consumption relationship), with speed and binary fuel selection (0 / 1 variables) as the decision variables, addressing the allocation and scheduling problem of fuel already loaded during navigation. Another example is Chinese patent application CN121840663A, which discloses a joint clearing optimization method for power frequency regulation considering the deep peak-shaving state of thermal power units. This method quantifies the deep peak-shaving state of thermal power units in multiple dimensions (operating status dimension, frequency regulation capability dimension, and operating cost dimension) and constructs a joint clearing optimization model to output the clearing results of power and frequency regulation capacity. This scheme is based on the thermodynamic / mechanical characteristics of thermal power units (boiler combustion stability, turbine life loss, ramp rate, etc.) to build a model, with constraints being power system security constraints (power balance, frequency regulation capacity demand, etc.), and it addresses the issue of multi-unit dispatch and clearing pricing in the power market.

[0006] Although the above-mentioned existing technologies have achieved quantitative decision-making for fuel or energy management in their respective fields, they all have the following shortcomings: (1) The application scenarios are not in the field of steel sintering fuel procurement. Their quantitative models are based on ship propulsion characteristics or power system scheduling characteristics, and cannot reflect the unique process mechanism of metallurgical sintering process; (2) They do not involve the transmission quantification of fuel sulfur content to ironmaking process cost, the quantitative impact of particle size distribution on sintering solid fuel consumption and other technical issues unique to the metallurgical field; (3) Their decision objectives (speed / fuel switching optimization, power clearing pricing) are completely different decision problems from the procurement cost-effectiveness evaluation of this invention. The former solves the problem of "how to optimize the use of given fuel" or "how to optimize the scheduling of multiple units", while the latter solves the problem of "which batch / which type of fuel has the lowest comprehensive cost".

[0007] Therefore, there is an urgent need for a sintering fuel procurement decision-making method and system that can comprehensively quantify the hidden cost impact of fuel in various dimensions, based on the process characteristics of steel sintering, and achieve automated comprehensive cost-effectiveness evaluation. Summary of the Invention

[0008] The purpose of this invention is to address the shortcomings and defects of existing technologies by providing a sintering fuel procurement decision-making method and system based on a multi-dimensional quantitative model.

[0009] To achieve the above objectives, the present invention adopts the following technical solution: a sintering fuel procurement decision-making method and system based on a multi-dimensional quantitative model, comprising the following steps: obtaining fuel parameters of the sintering fuel to be evaluated, wherein the fuel parameters include: contract price, freight and miscellaneous charges, transit losses, total moisture content, actual sulfur content, contract benchmark sulfur content, particle size content greater than a first threshold, particle size content less than a second threshold, actual calorific value, benchmark material calorific value, and benchmark material solid consumption; based on the fuel parameters, calculating the sulfur cost impact value, particle size cost impact value, and calorific value cost impact value of the sintering fuel to be evaluated; wherein, The sulfur cost impact value is used to characterize the economic transmission of the cost per ton of iron in subsequent ironmaking processes when the sulfur content of the fuel deviates from the contract benchmark. The particle size cost impact value is used to characterize the economic transmission of the solid fuel consumption in the sintering process when the particle size distribution of the fuel deviates from the benchmark. The calorific value cost impact value is used to characterize the difference in equivalent solid consumption of fuels with different calorific values ​​under the same combustion efficiency benchmark. Based on the sulfur cost impact value, particle size cost impact value, and calorific value cost impact value, the comprehensive cost-effectiveness evaluation value of the sintering fuel to be evaluated is calculated. Based on the comprehensive cost-effectiveness evaluation value, procurement decision recommendations for the sintering fuel to be evaluated are generated.

[0010] Furthermore, the step of calculating the impact value of sulfur content on cost includes: using the formula Calculate the impact of sulfur content on the cost per ton of iron, where The value represents the impact of sulfur content on the cost per ton of iron. This represents the actual sulfur content. The sulfur content is the contract benchmark. The penalty coefficient for the cost per ton of iron exceeding the sulfur content standard. =1.49 yuan / (ton iron·%St,d); The impact of sulfur content on the cost per ton of iron is converted into the cost impact on the unit price of fuel, and this is taken as the cost impact value of sulfur content.

[0011] Furthermore, the step of calculating the impact value of granularity cost includes: using the formula Calculate the particle size combustion efficiency of the sintered fuel to be evaluated, wherein For particle-scale combustion efficiency, The percentage of sintered fuel with a particle size greater than 3 mm in the material to be evaluated. The percentage of sintered fuel with a particle size less than 0.5 mm in the fuel to be evaluated is defined as follows: the change in solid consumption due to particle size is calculated based on the difference between the particle size combustion efficiency and the benchmark combustion efficiency; the change in solid consumption due to particle size is converted into a cost impact value on the unit price of fuel, which is then used as the particle size cost impact value.

[0012] Furthermore, the step of calculating the impact value of calorific value on cost includes: using the formula Calculate the solid loss by measuring the calorific value of the sintering fuel to be evaluated, wherein... To calculate solid loss for calorific value, Based on the fixed consumption of the benchmark material, Based on the calorific value of the reference material, The actual calorific value, The actual combustion efficiency of the sintered fuel to be evaluated. The baseline combustion efficiency is used as the basis; the difference between the solid consumption calculated based on the calorific value and the baseline material solid consumption is used to calculate the change in solid consumption due to the calorific value; the change in solid consumption due to the calorific value is converted into the cost impact value on the fuel unit price, which is used as the cost impact value of the calorific value.

[0013] Furthermore, prior to the step of obtaining the fuel parameters of the sintering fuel to be evaluated, the method further includes: using a formula Calculate the tax-exclusive dry basis price of the sintering fuel to be evaluated, where The price is the dry base price excluding tax. For the contract price, Value-added tax rate for goods, For freight and miscellaneous expenses, For the value-added tax rate on transportation, For the sake of loss, The tax rate corresponding to the loss in transit. It is total water content.

[0014] Furthermore, the step of generating procurement decision recommendations for the sintering fuel to be evaluated based on the comprehensive cost-effectiveness evaluation value includes: benchmarking the comprehensive cost of the sintering fuel to be evaluated against the comprehensive cost of other fuels of the same type in the database to generate a multi-fuel comprehensive cost-effectiveness ranking matrix; and outputting recommended fuels and their corresponding comprehensive cost composition details based on the multi-fuel comprehensive cost-effectiveness ranking matrix.

[0015] A steel sintering fuel procurement decision-making system based on a multi-dimensional quantitative model includes: a data acquisition module for acquiring fuel parameters of the sintering fuel to be evaluated, the fuel parameters including: contract price, freight and miscellaneous charges, transit losses, total moisture content, actual sulfur content, contract benchmark sulfur content, particle size content greater than a first threshold, particle size content less than a second threshold, actual calorific value, benchmark material calorific value, and benchmark material solid consumption; and a quantitative calculation module for calculating the sulfur cost impact value, particle size cost impact value, and calorific value cost impact value of the sintering fuel to be evaluated based on the fuel parameters; wherein, the sulfur cost impact value is used to characterize... The module assesses the economic impact of fuel sulfur content deviation from the contract benchmark on the cost per ton of iron in subsequent ironmaking processes. The particle size cost impact value characterizes the economic impact of fuel particle size distribution deviation from the benchmark on solid fuel consumption in the sintering process. The calorific value cost impact value characterizes the difference in equivalent solid consumption of fuels with different calorific values ​​under the same combustion efficiency benchmark. The comprehensive evaluation module calculates the comprehensive cost-effectiveness evaluation value of the sintering fuel to be evaluated based on the sulfur content cost impact value, particle size cost impact value, and calorific value cost impact value. The decision output module generates procurement decision recommendations for the sintering fuel to be evaluated based on the comprehensive cost-effectiveness evaluation value.

[0016] Furthermore, the quantitative calculation module includes: a sulfur cost impact calculation unit, used to calculate the impact of sulfur content using the formula... Calculate the impact of sulfur content on the cost per ton of iron, and convert it into the cost impact on the unit price of fuel as the sulfur content cost impact value. The cost penalty coefficient for excessive sulfur content per ton of iron is α = 1.49 yuan / (ton of iron·%St,d); the particle size cost impact calculation unit is used to apply the formula. The particle size combustion efficiency of the sintering fuel to be evaluated is calculated. The difference between the particle size combustion efficiency and the benchmark combustion efficiency is used to calculate the particle size-related solid loss change, which is then converted into a cost impact value on the fuel unit price as the particle size cost impact value. A calorific value cost impact calculation unit is used to calculate the calorific value cost impact value using the formula... Calculate the solid consumption of the calorific value of the sintering fuel to be evaluated, and calculate the change in solid consumption due to calorific value based on the difference between the solid consumption of the calorific value and the solid consumption of the benchmark material. Then, convert this change into the cost impact value on the unit price of the fuel as the cost impact value of calorific value.

[0017] Furthermore, the system, deployed on the enterprise intranet using a B / S architecture, also includes: a key login management module for controlling user access permissions using a dual authentication method of hardware keys and account passwords; a contract document parsing module for parsing uploaded contract documents according to a preset template structure and automatically extracting contract prices, freight charges, benchmark sulfur content, and additional / subtractive pricing parameters; a real-time data benchmarking module for comparing the fuel parameters of the sintering fuel to be evaluated with preset benchmark material parameters in real time; a process evaluation benchmark adjustment module for supporting adjustments to the evaluation benchmark values ​​of composition, particle size, and calorific value according to actual process requirements; a material benchmark file management module for storing historical benchmark parameter files of various sintering fuels and supporting calling, enabling, or disabling comparisons; a contract clause switching and maintenance module for supporting the switching and updating of additional / subtractive pricing clauses for contracts from different suppliers and in different batches; a cost-effectiveness calculation matrix module for automatically completing full-dimensional cost calculations based on the quantitative calculation module and generating a multi-material cost-effectiveness ranking matrix; a contract clause details module for visually displaying all clauses of the procurement contract; and a result export module for exporting the calculation results and cost composition details to Excel or docx format files.

[0018] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor performing a steel sintering fuel procurement decision-making method based on a multi-dimensional quantification model.

[0019] After adopting the above technical solution, the beneficial effects of the present invention include at least the following: 1. This invention precisely quantifies hidden costs across all dimensions, identifying and eliminating unreasonable fuels that are "low-priced but over-utilized" from the source of procurement. Actual production verification shows that it can directly save 608,300 to 1,905,000 yuan in procurement costs annually. The system is deployed locally based on an enterprise intranet B / S architecture, eliminating the need for continuous third-party service fees. The entire process is independently developed with an investment of only 3,800 yuan, resulting in an extremely short payback period and significant cost reduction benefits.

[0020] 2. This invention, for the first time, transforms the implicit cost transmission relationship in metallurgical processes, which relies on manual experience, into a calculable mathematical model, constructing a three-dimensional correlation decision-making framework of "composition compliance - cost rationality - performance matching". Taking fuel sulfur content as an example, this invention establishes a precise functional relationship of "sulfur content deviation → cost change per ton of iron" through a penalty coefficient α = 1.49 yuan / (ton iron·%St,d); taking particle size as a typical example, it quantifies the quantitative impact of particle size distribution deviation from the optimal range on the fuel consumption of sintered solids through the particle size combustion efficiency formula. This mechanism ensures that procurement decisions no longer rely on a single price or a single quality indicator, fundamentally avoiding the decision-making pitfall of "buying cheap and using expensive".

[0021] 3. The system has an embedded 3D quantitative model, which has the ability to perform "one-click calculation" and compare multiple materials in parallel. The time for evaluating the cost-effectiveness of a single batch of fuel has been shortened from 60 minutes of traditional manual calculation to less than 10 minutes. This frees procurement personnel from tedious manual calculations and cross-departmental communication, allowing them to focus on high-value tasks such as supplier negotiations and strategic procurement, thereby optimizing the allocation of human resources.

[0022] 4. By standardizing data entry, automating model calculations, and exporting structured results, errors caused by incorrect formula application, missing parameters, or calculation deviations in manual accounting are eliminated, reducing the accounting error rate from 15% to less than 0.8%, thus improving data reliability. Simultaneously, the entire process is traceable and auditable, ensuring transparency in the decision-making process and effectively preventing human intervention and corruption risks.

[0023] 5. This invention integrates the focus dimensions (price, sulfur content, particle size, calorific value, tax rate, transit loss, etc.) of different departments such as procurement, production, and finance into the "dry basis comprehensive cost to plant" framework for normalization and benchmarking. This ensures that the evaluation results of the same batch of fuel across departments are 100% consistent, eliminates cognitive differences caused by inconsistent evaluation standards, and significantly shortens the cross-departmental demonstration and decision-making cycle.

[0024] 6. Unlike general energy management optimization methods, this invention, targeting the unique metallurgical process mechanism of sintering, establishes three implicit cost quantification paths: "sulfur content → ironmaking cost transmission," "particle size distribution → impact of sintering solid consumption," and "calorific value → equivalent solid consumption conversion." These paths are then integrated into a unified decision-making model using four core formulas. This model represents a mathematical refinement and systematic encapsulation of metallurgical process experience, providing a domain-specific technical solution for sintering fuel procurement in the steel industry. Attached Figure Description

[0025] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0026] Figure 1 This is a flowchart illustrating the sintering fuel procurement decision-making method based on a multi-dimensional quantification model, as provided in an embodiment of the present invention.

[0027] Figure 2 The system architecture diagram of the sintering fuel procurement decision system based on a multi-dimensional quantitative model provided in the embodiments of the present invention is shown. Detailed Implementation

[0028] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0029] Before describing the specific implementation methods in detail, it is necessary to clarify the essential differences between the present invention and existing technical solutions.

[0030] Some existing technologies have attempted to apply quantitative models to the field of fuel or energy management. Chinese patent application CN121258236A (Optimization Management System for Speed ​​and Fuel Mode Switching Strategy of Methanol Dual-Fuel Ships) constructs a physical model based on ship propulsion characteristics (ship resistance, propeller efficiency, speed-fuel consumption relationship), using speed and binary fuel selection as decision variables to solve the problem of allocating and scheduling the fuel already loaded during navigation. Chinese patent application CN121840663A (Joint Clearing Optimization Method for Power Frequency Regulation Considering Deep Adjustment State of Thermal Power Plants) constructs a model based on the thermodynamic / mechanical characteristics of thermal power units (boiler combustion stability, turbine life loss, gradeability, etc.), using the cleared power and frequency regulation capacity of each unit as decision variables to solve the problem of multi-unit scheduling and clearing pricing in the electricity market.

[0031] None of the aforementioned existing technologies address the procurement of fuel for steel sintering, and their quantitative models fail to reflect the unique process mechanisms of metallurgical sintering—namely, the transmission path of fuel sulfur content to ironmaking costs, the influence function of particle size distribution on the fuel consumption of sintered solids, and the equivalent conversion method of calorific value among different fuels. This invention addresses these specific technical problems in metallurgical processes by constructing a three-dimensional correlation quantitative model of "composition-performance-cost," transforming the implicit cost transmission relationships in metallurgical processes, which rely on human experience, into precise mathematical functions.

[0032] In the description of this invention, it should be noted that the terms "first," "second," etc., are used only for distinguishing descriptions and should not be construed as indicating or implying relative importance. Those skilled in the art can understand the specific meaning of the relevant terms in this invention based on the specific circumstances.

[0033] This invention provides a sintering fuel procurement decision-making method and system based on a multi-dimensional quantitative model. By constructing a "composition-performance-cost" correlation decision-making model, it accurately quantifies the impact of multiple factors such as sulfur content, particle size distribution, and calorific value of sintering fuel on the overall process cost, achieving one-click automatic calculation of fuel cost-effectiveness and intelligent decision recommendation. Detailed descriptions are provided below through specific embodiments.

[0034] Example 1 This embodiment provides a sintering fuel procurement decision-making method based on a multi-dimensional quantitative model. For example... Figure 1 As shown, the method includes the following steps: Step S1: Obtain the fuel parameters of the sintering fuel to be evaluated.

[0035] Specifically, procurement personnel can log in to the system using their personal account keys and choose to upload the contract template file of the fuel to be evaluated with one click. The system will extract parameters such as contract price, freight and miscellaneous charges, transit damage agreement, and quality benchmark through structured extraction. Alternatively, they can manually input test parameters such as actual total moisture, actual sulfur content, particle size distribution, and actual calorific value of the fuel to be evaluated.

[0036] In this embodiment, the fuel to be evaluated is domestic sintered coal provided by a certain supplier. The input parameters are: contract price of RMB 1040 / ton (including tax), freight and miscellaneous charges of RMB 72 / ton (including tax), transit loss of RMB 13 / ton (including tax), total moisture of 8%, actual sulfur content St,d=0.325%, contract benchmark sulfur content St,d=0.60%, particle size >3mm accounts for 25%, particle size <0.5mm accounts for 72%, and actual calorific value of 7200kcal / kg.

[0037] Meanwhile, the system has completed the configuration of basic parameters during the initialization phase, including: baseline solid consumption (the baseline solid consumption of local white coal is 63 kg / ton of sintered ore fed into the furnace), baseline fuel calorific value (the baseline calorific value of local white coal is 6900 kcal / kg), cost penalty coefficient for excessive sulfur content per ton of iron (1.49 yuan / (ton of iron·%St,d)), particle size coefficient (0.15 for >3mm, 0.1 for <0.5mm), and baseline combustion efficiency (0.864). Among the above parameters, the cost penalty coefficient for excessive sulfur content per ton of iron and the particle size coefficient are empirical parameters obtained based on regression analysis of long-term historical production data of the company's sintering process, rather than general mathematical constants.

[0038] Step S2: Calculate the tax-exclusive dry basis price of the sintering fuel to be evaluated at the plant.

[0039] The system calls the quantitative calculation module and uses the following formula to calculate the pre-tax dry basis price of the fuel to be evaluated: in The price is excluding tax and is expressed in yuan / ton (dry basis). This is the contract price, in yuan / ton; Value-added tax rate for goods, This is freight and miscellaneous charges, in yuan / ton. For the value-added tax rate on transportation, This is for transit damage, expressed in yuan / ton; The tax rate corresponding to the loss in transit. It is total water content.

[0040] In this embodiment, the calculated price of dry basis (excluding tax) delivered to the factory is 1080.5 yuan / ton dry basis. Combined with the contract assessment clause of -15 yuan, the contract settlement unit price is 1065.8 yuan.

[0041] Step S3: Calculate the sulfur cost impact value of the sintering fuel to be evaluated.

[0042] The system uses the following formula to calculate the impact of sulfur content on the cost per ton of iron: in, The value represents the impact of sulfur content on the cost per ton of iron, expressed in yuan / ton of iron. The actual sulfur content of the sintering fuel to be evaluated is expressed in %St,d; The sulfur content is the contract benchmark, expressed in %St,d; The unit is the cost penalty coefficient per ton of iron for excessive sulfur content, expressed in yuan / (ton of iron·%St,d). In this embodiment... =1.49 yuan / (ton iron·%St,d).

[0043] Will The cost impact on the unit price of fuel is converted into the cost impact value of sulfur content.

[0044] In this embodiment, the actual sulfur content is 0.325%, and the contract benchmark sulfur content is 0.60%, then: =(0.325%-0.60%)*1.49=-0.40975 yuan / ton of iron.

[0045] This means that the sulfur content of the fuel is lower than the benchmark, which has a negative impact (savings) on the cost per ton of iron, equivalent to a decrease of 6.43 yuan / ton in fuel price. This calculation directly links the quality indicator of fuel sulfur content to the cost of subsequent ironmaking processes, realizing the quantitative transmission of implicit costs across processes.

[0046] Step S4: Calculate the particle size cost impact value of the sintering fuel to be evaluated.

[0047] The system uses the following formula to calculate the particle size combustion efficiency of the sintered fuel to be evaluated: in, The particle size combustion efficiency of the sintered fuel to be evaluated; The coarse-grained influence coefficient is used in this embodiment. =0.15; The percentage of sintering fuel with a particle size greater than 3mm in the sample to be evaluated; This is a fine-grained influence coefficient, in this embodiment =0.1; This represents the percentage of sintered fuel with a particle size smaller than 0.5 mm in the sample to be evaluated.

[0048] according to Compared with benchmark combustion efficiency The difference is used to calculate the effect of particle size on the change in solid loss. in, The baseline material solid consumption.

[0049] Will The cost impact value converted into the unit price of fuel is used as the granular cost impact value.

[0050] In this embodiment, , , but: .

[0051] This means that the optimized particle size distribution of the fuel can reduce solid consumption by approximately 1.93 kg / t, which translates to a decrease in fuel price of approximately 0.88 yuan / ton. This calculation establishes a quantitative correlation between the physical form of the fuel (particle size distribution) and the combustion efficiency of the sintering process, reflecting the differences in actual utilization efficiency of fuels of different particle sizes during sintering.

[0052] Step S5: Calculate the impact of the calorific value on the cost of the sintering fuel to be evaluated.

[0053] The system uses the following formula to calculate the calorific value of the sintering fuel to be evaluated and to determine its solid loss: in, Solid consumption is calculated to determine the calorific value of the sintering fuel to be evaluated, with the unit being kg / t of sintered ore fed into the furnace; The standard material solid consumption is expressed in kg / t of sintered ore fed into the furnace. The calorific value of the reference material; This is the actual calorific value; The actual combustion efficiency of the sintered fuel to be evaluated; The baseline combustion efficiency is used.

[0054] according to and The difference is used to calculate the effect of calorific value on the change in solid loss. This is converted into the cost impact value on the unit price of fuel, and then used as the calorific value cost impact value.

[0055] In this embodiment, , , but: This calculation incorporates the key parameter of combustion efficiency difference. This solves the technical problem that simply comparing "calorific value" cannot reflect "actual utilization efficiency," and enables fair benchmarking of fuels with different calorific values ​​under a unified efficiency standard.

[0056] Step S6: Calculate the overall cost-effectiveness evaluation value of the sintering fuel to be evaluated.

[0057] The system calculates the overall cost-effectiveness evaluation value of the sintering fuel to be evaluated based on the sulfur cost impact value, particle size cost impact value, and calorific value cost impact value obtained from steps S3 to S5.

[0058] Specifically, the system first calculates the actual comparative solid consumption. : In this embodiment, .

[0059] Subsequently, based on the tax-exclusive dry basis price delivered to the plant calculated in step S2, and the cost impact values ​​of each dimension calculated in steps S3 to S5 (influence of sulfur content converted to unit price, particle size converted to unit price, and calorific value converted to unit price), the system comprehensively calculates the overall cost-effectiveness evaluation value of the fuel to be evaluated. The overall cost-effectiveness evaluation value is the comprehensive usage cost delivered to the plant obtained by adding the cost impact values ​​of each dimension to the tax-exclusive dry basis price. The lower this value, the higher the overall cost-effectiveness of the fuel.

[0060] Step S7: Generate procurement decision recommendations for the sintering fuel to be evaluated.

[0061] The system benchmarks the comprehensive cost of the sintering fuel to be evaluated against the comprehensive cost of other fuels of the same type in the database, generates a multi-fuel comprehensive cost-effectiveness ranking matrix, and outputs recommended fuels and their corresponding comprehensive cost composition details based on the multi-fuel comprehensive cost-effectiveness ranking matrix.

[0062] In this embodiment, because all indicators of this fuel are superior to the benchmark, the system recommends prioritizing its purchase and displays a comparison of its cost-effectiveness with other fuels of the same type from other suppliers in the database on the interface. Simultaneously, the system triggers warnings for abnormal indicators (such as a pop-up notification when the cost impact value of a certain dimension exceeds a preset threshold). All calculation results can be exported to an Excel file with one click for storage, achieving full traceability throughout the process.

[0063] Based on the overall cost-effectiveness ranking results output by the system, procurement personnel make procurement decisions according to the preset "Sintering Fuel Cost-Effectiveness Assessment SOP", prioritizing the procurement of fuels with the lowest overall cost, and completing the decision-making process.

[0064] Example 2 This embodiment provides a sintering fuel procurement decision-making system based on a multi-dimensional quantitative model. For example... Figure 2 As shown, the system adopts a B / S architecture and is deployed on the enterprise intranet, including the following modules: The data acquisition module is used to acquire the fuel parameters of the sintering fuel to be evaluated. The fuel parameters include: contract price, freight and miscellaneous charges, transit losses, total moisture content, actual sulfur content, contract reference sulfur content, content of particle sizes greater than the first threshold, content of particle sizes less than the second threshold, actual calorific value, calorific value of reference material, and solid consumption of reference material.

[0065] The quantitative calculation module is used to calculate the impact values ​​of sulfur content cost, particle size cost, and calorific value cost of the sintering fuel to be evaluated, based on fuel parameters. Specifically, the quantitative calculation module includes: The sulfur cost impact calculation unit is used to calculate the cost impact of sulfur content. Calculate the impact of sulfur content on the cost per ton of iron, and convert it into the cost impact on the unit price of fuel as the sulfur content cost impact value.

[0066] Granularity cost impact calculation unit, used for employing Calculate the particle size combustion efficiency of the sintering fuel to be evaluated, calculate the particle size effect on solid loss change based on the difference between the particle size combustion efficiency and the benchmark combustion efficiency, and convert it into the cost impact value on the fuel unit price as the particle size cost impact value.

[0067] The calorific value cost impact calculation unit is used to employ... Calculate the solid consumption based on the calorific value of the sintering fuel to be evaluated. Calculate the change in solid consumption due to calorific value based on the difference between the solid consumption calculated based on calorific value and the solid consumption of the benchmark material, and convert it into the cost impact value on the unit price of the fuel as the cost impact value of calorific value.

[0068] The comprehensive evaluation module is used to calculate the comprehensive cost-effectiveness evaluation value of the sintering fuel to be evaluated based on the cost impact values ​​of sulfur content, particle size, and calorific value.

[0069] The decision output module generates procurement decision recommendations for the sintering fuel to be evaluated based on the comprehensive cost-effectiveness evaluation value. Specifically, the decision output module benchmarks the comprehensive cost of the sintering fuel to be evaluated against the comprehensive cost of other fuels of the same type in the database, generates a multi-fuel comprehensive cost-effectiveness ranking matrix, and outputs recommended fuels and their corresponding comprehensive cost composition details based on the multi-fuel comprehensive cost-effectiveness ranking matrix.

[0070] The key login management module is used to control user access permissions using a dual authentication method of hardware keys and account passwords, authorizing only personnel from the purchasing, production, and finance departments to access the system, thus ensuring data security.

[0071] The contract document parsing module is used to parse uploaded contract documents according to a preset template structure, and automatically extract parameters such as contract price, freight and miscellaneous charges, benchmark sulfur content, and price adjustment clauses.

[0072] The real-time data benchmarking module is used to compare the fuel parameters of the sintering fuel to be evaluated with the preset benchmark material parameters in real time.

[0073] The process evaluation benchmark adjustment module is used to support the adjustment of evaluation benchmark values ​​for composition, particle size, and calorific value according to actual process requirements.

[0074] The material baseline file management module is used to store historical baseline parameter files for various sintering fuels, and supports calling, enabling, or disabling comparison.

[0075] The contract terms switching and maintenance module is used to support the switching and updating of price increase / decrease terms for contracts from different suppliers and in different batches.

[0076] The cost-effectiveness calculation matrix module is used to automatically complete the full-dimensional cost calculation based on the quantitative calculation module and generate a multi-material cost-effectiveness ranking matrix.

[0077] The Contract Terms Details module is used to visually display all the terms and conditions of the procurement contract, facilitating traceability and verification.

[0078] The results export module is used to export the calculation results and cost breakdown details as Excel or docx format files for archiving.

[0079] The system enables "one-click calculation". After inputting the core parameters, it can output the dry basis price delivered to the plant, the cost impact of sulfur / particle size / calorific value, and the overall cost-effectiveness price difference within 30 seconds. It automatically generates "Top Cost-Effectiveness Fuel Recommendation" and pushes procurement suggestions.

[0080] Example 3 This embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steel sintering fuel procurement decision method based on a multi-dimensional quantitative model as described in Embodiment 1.

[0081] Example 4 This embodiment provides a computer-readable storage medium storing a computer program thereon. When the computer program is executed by a processor, it implements the steel sintering fuel procurement decision-making method based on a multi-dimensional quantitative model as described in Embodiment 1.

[0082] Implementation effect verification The invention has been verified through actual operation in the ironmaking division of a steel company: Based on an annual procurement of 12 batches, the company can avoid cost losses of 608,300 to 1,905,000 yuan per year due to unreasonable procurement; the calculation error rate has been reduced from 15% to 0.8%; the evaluation time for a single batch has been shortened from 60 minutes to 10 minutes; and the consistency of cross-departmental evaluation results has reached 100%, fully achieving the expected results.

[0083] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

[0084] The above is only used to illustrate the technical solution of the present invention and is not intended to limit it. Any other modifications or equivalent substitutions made by those skilled in the art to the technical solution of the present invention, as long as they do not depart from the spirit and scope of the technical solution of the present invention, should be covered within the scope of the claims of the present invention.

Claims

1. A sintering fuel procurement decision-making method based on a multi-dimensional quantitative model, characterized in that: Includes the following steps: Obtain the fuel parameters of the sintering fuel to be evaluated, including: contract price, freight and miscellaneous charges, transit losses, total moisture content, actual sulfur content, contract reference sulfur content, content of particle sizes greater than the first threshold, content of particle sizes less than the second threshold, actual calorific value, calorific value of reference material, and solid consumption of reference material. Based on the fuel parameters, the sulfur cost impact value, particle size cost impact value, and calorific value cost impact value of the sintering fuel to be evaluated are calculated respectively. Among them, the sulfur cost impact value is used to characterize the economic transmission of the cost per ton of iron in subsequent ironmaking processes when the sulfur content of the fuel deviates from the contract benchmark; the particle size cost impact value is used to characterize the economic transmission of the solid fuel consumption in the sintering process when the particle size distribution of the fuel deviates from the benchmark; and the calorific value cost impact value is used to characterize the difference in equivalent solid consumption of fuels with different calorific values ​​under the same combustion efficiency benchmark. Based on the sulfur cost impact value, particle size cost impact value, and calorific value cost impact value, calculate the comprehensive cost-effectiveness evaluation value of the sintering fuel to be evaluated; Based on the comprehensive cost-effectiveness evaluation value, procurement decision recommendations for the sintering fuel to be evaluated are generated.

2. The sintering fuel procurement decision-making method based on a multi-dimensional quantitative model according to claim 1, characterized in that: The steps for calculating the cost impact of sulfur content include: Using formula Calculate the impact of sulfur content on the cost per ton of iron, where The value represents the impact of sulfur content on the cost per ton of iron. This represents the actual sulfur content. The sulfur content is the contract benchmark. The penalty coefficient for the cost per ton of iron exceeding the sulfur content standard. =1.49 yuan / (ton iron·%St,d); The impact of sulfur content on the cost per ton of iron is converted into the cost impact on the unit price of fuel, and this is taken as the sulfur content cost impact value.

3. The sintering fuel procurement decision-making method based on a multi-dimensional quantitative model according to claim 1, characterized in that: The steps for calculating the cost impact value of granularity include: Using formula Calculate the particle size combustion efficiency of the sintered fuel to be evaluated, wherein For particle-scale combustion efficiency, The percentage of sintered fuel with a particle size greater than 3 mm in the material to be evaluated. The percentage of the sintered fuel to be evaluated with a particle size less than 0.5 mm; The effect of particle size on solid loss variation is calculated based on the difference between the particle size combustion efficiency and the reference combustion efficiency. The particle size effect on solid loss is converted into a cost impact on fuel unit price, which is then used as the particle size cost impact value.

4. The sintering fuel procurement decision-making method based on a multi-dimensional quantitative model according to claim 1, characterized in that: The steps for calculating the impact value of calorific value on cost include: Using formula Calculate the solid loss by measuring the calorific value of the sintering fuel to be evaluated, wherein... To calculate solid loss for calorific value, Based on the fixed consumption of the benchmark material, Based on the calorific value of the reference material, The actual calorific value, The actual combustion efficiency of the sintered fuel to be evaluated. Based on the baseline combustion efficiency; Based on the difference between the solid consumption calculated from the calorific value and the solid consumption of the reference material, the influence of the calorific value on the change in solid consumption is calculated. The change in solid consumption due to calorific value is converted into a cost impact value on fuel unit price, which is then used as the calorific value cost impact value.

5. The sintering fuel procurement decision-making method and system based on a multi-dimensional quantitative model according to claim 1, characterized in that: Before the step of obtaining the fuel parameters of the sintering fuel to be evaluated, the method further includes: Using formula Calculate the tax-exclusive dry basis price of the sintering fuel to be evaluated, where The price is the dry base price excluding tax. For the contract price, Value-added tax rate for goods, For freight and miscellaneous expenses, For the value-added tax rate on transportation, For the sake of loss, The tax rate corresponding to the loss in transit. It is total water content.

6. The sintering fuel procurement decision-making method based on a multi-dimensional quantitative model according to claim 1, characterized in that: The step of generating procurement decision recommendations for the sintering fuel to be evaluated based on the comprehensive cost-effectiveness evaluation value includes: The comprehensive cost of the sintering fuel to be evaluated is compared with the comprehensive cost of other fuels of the same type in the database to generate a multi-fuel comprehensive cost-effectiveness ranking matrix. Based on the multi-fuel comprehensive cost-effectiveness ranking matrix, the recommended fuel and its corresponding comprehensive cost breakdown are output.

7. A steel sintering fuel procurement decision-making system based on a multi-dimensional quantitative model, characterized in that, include: The data acquisition module is used to acquire the fuel parameters of the sintering fuel to be evaluated. The fuel parameters include: contract price, freight and miscellaneous charges, transit losses, total moisture content, actual sulfur content, contract reference sulfur content, content of particle sizes greater than the first threshold, content of particle sizes less than the second threshold, actual calorific value, calorific value of reference material, and solid consumption of reference material. The quantitative calculation module is used to calculate the sulfur cost impact value, particle size cost impact value, and calorific value cost impact value of the sintering fuel to be evaluated based on fuel parameters. The sulfur cost impact value is used to characterize the economic transmission of the cost per ton of iron in subsequent ironmaking processes when the sulfur content of the fuel deviates from the contract benchmark. The particle size cost impact value is used to characterize the economic transmission of the solid fuel consumption in the sintering process when the particle size distribution of the fuel deviates from the benchmark. The calorific value cost impact value is used to characterize the difference in equivalent solid consumption of fuels with different calorific values ​​under the same combustion efficiency benchmark. The comprehensive evaluation module is used to calculate the comprehensive cost-effectiveness evaluation value of the sintering fuel to be evaluated based on the cost impact values ​​of sulfur content, particle size, and calorific value. The decision output module is used to generate procurement decision recommendations for the sintering fuel to be evaluated based on the comprehensive cost-effectiveness evaluation value.

8. The sintering fuel procurement decision-making system based on a multi-dimensional quantitative model according to claim 1, characterized in that: The quantization calculation module includes: The sulfur cost impact calculation unit is used to apply the formula Calculate the impact of sulfur content on the cost per ton of iron, and convert it into the cost impact on the unit price of fuel as the sulfur content cost impact value. The cost penalty coefficient per ton of iron for sulfur content exceeding the standard; Granularity cost impact calculation unit, used to apply formula Calculate the particle size combustion efficiency of the sintering fuel to be evaluated, calculate the particle size effect on solid loss change value based on the difference between the particle size combustion efficiency and the benchmark combustion efficiency, and convert it into the cost impact value on the fuel unit price as the particle size cost impact value; The calorific value cost impact calculation unit is used to apply the formula Calculate the solid consumption of the calorific value of the sintering fuel to be evaluated, and calculate the change in solid consumption due to calorific value based on the difference between the solid consumption of the calorific value and the solid consumption of the benchmark material. Then, convert this change into the cost impact value on the unit price of the fuel as the cost impact value of calorific value.

9. A sintering fuel procurement decision-making system based on a multi-dimensional quantitative model according to claim 1, characterized in that: The system, deployed on the enterprise intranet using a B / S architecture, also includes: The key login management module is used to control user access permissions using a dual authentication method of hardware key and account password. The contract document parsing module is used to parse uploaded contract documents according to a preset template structure and automatically extract parameters such as contract price, freight and miscellaneous charges, benchmark sulfur content and price increase / decrease clauses. The real-time data benchmarking module is used to compare the fuel parameters of the sintering fuel to be evaluated with the preset benchmark material parameters in real time. The process evaluation benchmark adjustment module is used to support the adjustment of evaluation benchmark values ​​for composition, particle size, and calorific value according to actual process requirements. The material baseline file management module is used to store historical baseline parameter files for various sintering fuels, and supports calling, enabling or disabling comparisons; The contract terms switching and maintenance module is used to support the switching and updating of price increase / decrease clauses for contracts from different suppliers and in different batches. The cost-performance ratio calculation matrix module is used to automatically complete the full-dimensional cost calculation based on the quantitative calculation module and generate a multi-material cost-performance ratio ranking matrix. The Contract Terms Details module is used to visually display all the terms and conditions of the procurement contract. The results export module is used to export the calculation results and cost breakdown details as Excel or docx format files.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steel sintering fuel procurement decision-making method based on a multi-dimensional quantification model as described in any one of claims 1 to 6.

Images