A method for allocating carbon footprint of steel slag magnetic separation powder and tailing slag based on iron grade and yield

Abstract

This invention relates to a method for allocating the carbon footprint of steel slag magnetic separator powder and tailings based on iron grade and yield. The method includes determining the accounting boundary of the steel slag treatment workshop and calculating the total carbon footprint of the workshop; statistically analyzing the output of magnetic separator powder, tailings yield, iron grade of magnetic separator powder, and iron grade of tailings within a preset statistical period; and allocating the total carbon footprint to obtain the carbon footprint per ton of magnetic separator powder and tailings. This invention's method for allocating the carbon footprint of steel slag magnetic separator powder and tailings based on iron grade and yield solves the problems of difficulty in allocating actual energy and material consumption when recording energy and material consumption using an overall accounting method, or difficulty in reflecting resource consumption differences when using economic value allocation, simple output allocation, or average allocation methods, thus affecting the objectivity and consistency of product-level carbon footprint results.

Description

Technical Field

[0001] This invention relates to the field of carbon footprint accounting technology in the treatment of solid waste in the iron and steel industry, specifically to a method for allocating the carbon footprint of steel slag magnetic separator powder and tailings based on iron grade and yield. Background Technology

[0002] Steel slag treatment is a crucial step in the subsequent resource utilization of steel production. The process typically involves multiple continuous steps such as pretreatment, cooling, crushing, screening, and magnetic separation, resulting in continuous consumption of electricity, utilities, and auxiliary media within the workshop. With increasingly detailed requirements for product carbon footprint accounting, how to rationally collect and allocate the carbon emissions generated during steel slag treatment to different outputs has become a fundamental technical issue in carbon management within the steel industry.

[0003] In current practices, steel slag processing workshops typically record energy consumption using a holistic accounting approach. However, magnetic separation powder and tailings, as different products formed in the same continuous process, are difficult to measure independently using physical metering methods to obtain their respective actual energy consumption during their formation. Directly using economic value allocation, simple output allocation, or average allocation methods often fails to reflect the differences in resource consumption during the formation process of different products, thus affecting the objectivity and consistency of the product-level carbon footprint results.

[0004] Therefore, existing technologies have shortcomings and need to be improved and developed. Summary of the Invention

[0005] The present invention provides a method for allocating the carbon footprint of steel slag magnetic separator powder and tailings based on iron grade and yield. This method addresses the problem that in the prior art, steel slag processing workshops typically record energy consumption using an overall accounting approach. However, since magnetic separator powder and tailings are different products formed in the same continuous process, it is difficult to obtain the actual energy consumption of each product's formation process through independent physical measurement. If economic value allocation, simple yield allocation, or average allocation methods are directly used, it is often difficult to reflect the differences in resource consumption of different products during their formation process, thus affecting the objectivity and consistency of the product-level carbon footprint results.

[0006] This invention provides a method for allocating the carbon footprint of steel slag magnetic separator powder and tailings based on iron grade and yield, comprising:

[0007] The accounting boundary of the steel slag treatment workshop is determined, and based on the material consumption activity data, energy medium activity data, electricity activity data, carbon emission coefficients of each material, carbon emission coefficients of each energy medium, and carbon emission coefficient of electricity within the accounting boundary, the total carbon footprint of the steel slag treatment workshop is calculated. ;

[0008] The output of magnetic separation powder in the steel slag treatment workshop within the preset statistical period is statistically analyzed. Tailings production Magnetic separation powder iron grade Iron grade of tailings slag ;

[0009] Based on the magnetic separation powder output The tailings production The iron grade of the magnetically separated powder The iron grade of the tailings and the total carbon footprint The total carbon footprint is allocated to obtain the carbon footprint per ton of magnetic separator powder. Carbon footprint per ton of tailings product .

[0010] Furthermore, the accounting boundary of the steel slag treatment workshop is from the time the steel slag enters the treatment workshop until the magnetic separation powder and tailings are transported out of the treatment workshop; the accounting boundary at least covers the energy consumption data of the steel slag pretreatment and cooling process, crushing and screening process, and magnetic separation process.

[0011] Furthermore, the total carbon footprint of the steel slag treatment workshop Calculate using the following formula:

[0012] ;

[0013] in, For the first Activity data for various materials, in tons;

[0014] For the first The carbon emission coefficient of a material, expressed in kilograms of carbon dioxide per ton;

[0015] For the first Activity data for various energy media, in tons or cubic meters;

[0016] For the first The carbon emission coefficient of a type of energy medium, expressed in kilograms of carbon dioxide per ton or kilograms of carbon dioxide per cubic meter.

[0017] This is data on electricity activity, expressed in kilowatt-hours.

[0018] This is the carbon emission factor for electricity, expressed in kilograms of carbon dioxide per kilowatt-hour.

[0019] For the first Activity data for various carbon sequestration products, in tons;

[0020] For the first The carbon emission coefficient of a carbon sequestration product, expressed in kilograms of carbon dioxide per ton.

[0021] Furthermore, the magnetic separation powder output of the steel slag treatment workshop within the preset statistical period. Tailings production Magnetic separation powder iron grade Iron grade of tailings slag ,include:

[0022] The preset statistical period is set, wherein the duration of the preset statistical period is not less than 6 months;

[0023] During each production shift, samples of magnetic separator powder and tailings are taken 3 to 5 times, with an interval of 1 to 2 hours between two consecutive samplings. Each sample is 200 to 400 grams, and the sampling locations are the magnetic separator powder feeding belt and the tailings feeding belt, respectively.

[0024] Within the preset statistical period, the total output of magnetic separator powder is counted to obtain the magnetic separator powder output. ; Calculate the total tailings output to obtain the tailings production. ;

[0025] Within the preset statistical period, iron grade data is obtained from the samples taken each time after analysis. The iron grade of the sampled magnetic separator powder and the iron grade of the sampled tailings are statistically analyzed for each sampling. The iron grade of the magnetic separator powder is determined by summing the iron grades of all sampled magnetic separator powder and then dividing by the total number of samplings. The iron grade of the tailings is determined by summing the iron grades of all sampled tailings and then dividing by the total number of samplings. .

[0026] Furthermore, the carbon footprint of the magnetic separation powder per ton of product... Calculate using the following formula:

[0027] ;

[0028] in, The carbon footprint of magnetic separation powder per ton of product is expressed in kilograms of carbon dioxide per ton.

[0029] This refers to the output of magnetic separation powder, expressed in tons.

[0030] The figure represents tailings output, in tons.

[0031] The iron content of the magnetically separated powder is expressed in % (%).

[0032] Iron content in tailings slag, in percentages (%)

[0033] The total carbon footprint of the steel slag treatment workshop is expressed in kilograms of carbon dioxide.

[0034] Furthermore, the carbon footprint E_tailings per ton of product is calculated according to the following formula:

[0035] ,

[0036] in, Carbon footprint per ton of tailings product, expressed in kilograms of carbon dioxide per ton;

[0037] This refers to the output of magnetic separation powder, expressed in tons.

[0038] The figure represents tailings output, in tons.

[0039] The iron content of the magnetically separated powder is expressed in % (%).

[0040] Iron content in tailings slag, in percentages (%)

[0041] The total carbon footprint of the steel slag treatment workshop is expressed in kilograms of carbon dioxide.

[0042] Beneficial effects:

[0043] As can be seen from the above technical solutions, the present invention provides a method for allocating the carbon footprint of steel slag magnetic separation powder and tailings based on iron grade and yield, which has the following beneficial effects:

[0044] 1. A complete methodology chain was established, from determining the accounting boundary, calculating the total carbon footprint, calculating production output, calculating iron grade, to product allocation. This enables steel slag processing workshops to generate product-level carbon footprint results for magnetic separation powder and tailings, rather than just workshop-level total results.

[0045] 2. Incorporate both output and iron grade factors into the allocation calculation to ensure that the allocation is based on both the quantity and quality characteristics of the product, thus avoiding the imbalance caused by allocating based on only a single parameter.

[0046] 3. The iron grade parameters are determined by multiple sampling and averaging within a continuous statistical period, which makes the input data periodically representative and is more suitable for the actual scenario of continuous production and fluctuating operating conditions in steel slag treatment workshops.

[0047] 4. The data required for the calculation can be directly obtained from the company's existing production metering, energy metering and quality inspection system. There is no need to configure complex sub-item energy consumption decomposition devices on the production line, and the implementation cost is easier to control.

[0048] 5. It can output the carbon footprint results per ton of magnetic separation powder and tailings, providing a unified data foundation for internal management, product accounting, external disclosure and resource utilization evaluation of steel slag treatment products.

[0049] It should be understood that all combinations of the foregoing concepts and the additional concepts described in more detail below can be considered part of the inventive subject matter of this disclosure, provided that such concepts do not contradict each other.

[0050] The foregoing and other aspects, embodiments, and features of the teachings of the present invention will be more fully understood from the following description in conjunction with the accompanying drawings. Other additional aspects of the invention, such as features and / or beneficial effects of exemplary embodiments, will become apparent from the following description or may be learned through practice of specific embodiments according to the teachings of the present invention. Attached Figure Description

[0051] The accompanying drawings are not drawn to scale. In the drawings, each identical or nearly identical component shown in the various figures may be denoted by the same reference numeral. For clarity, not every component is labeled in each figure. Embodiments of various aspects of the invention will now be described by way of example and with reference to the accompanying drawings, wherein:

[0052] Figure 1 This is a general flowchart of a method for allocating the carbon footprint of steel slag magnetic separator powder and tailings based on iron grade and yield in an embodiment of this application.

[0053] Figure 2 This is a third-person perspective of the input and output table of a steel slag processing workshop, representing a method for allocating the carbon footprint of steel slag magnetic separator powder and tailings based on iron grade and yield in an embodiment of this application. Detailed Implementation

[0054] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, 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 some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the described embodiments of the present invention without creative effort are within the scope of protection of the present invention. Unless otherwise defined, the technical or scientific terms used herein should have the ordinary meaning understood by those skilled in the art to which this invention pertains.

[0055] The terms "first," "second," and similar words used in the specification and claims of this patent application do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Similarly, unless the context clearly indicates otherwise, the singular forms of "an," "a," or "the," etc., do not indicate a quantity limitation, but rather indicate the presence of at least one. Terms such as "comprising" or "including" mean that the element or object preceding "comprising" encompasses the features, integrals, steps, operations, elements, and / or components listed following "comprising" or "including," and do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or collections thereof. Terms such as "upper," "lower," "left," and "right" are used only to indicate relative positional relationships; these relative positional relationships may change accordingly when the absolute position of the described object changes.

[0056] The steel industry urgently needs to accurately calculate the carbon footprint of various products and by-products in order to achieve energy conservation, emission reduction, and green, low-carbon development. Steel slag, after magnetic separation, produces two products: magnetic powder and tailings. Accurately and rationally allocating carbon emissions across the entire steel slag processing plant presents a challenge to refined carbon management.

[0057] Currently, the steel industry faces the following problems in energy consumption and carbon emission accounting in steel slag processing workshops: First, steel slag processing is a continuous production process, making it impossible to directly distinguish the energy consumption of magnetic separator powder and tailings through physical metering. Second, the economic allocation method or mass balance method cannot accurately reflect the carbon emission differences between magnetic separator powder and tailings, ignoring the differences in output, physical properties, and price fluctuations between the two. Finally, achieving energy consumption separation through complex equipment modifications is costly and unstable. Therefore, a reasonable, scientific, and convenient method is needed to allocate the carbon emissions of magnetic separator powder and tailings.

[0058] In view of this, embodiments of the present invention provide a method for allocating the carbon footprint of steel slag magnetic separator powder and tailings based on iron grade and yield, referring to... Figure 1 ,include:

[0059] Step S102: Determine the accounting boundary of the steel slag treatment workshop, and calculate the total carbon footprint of the steel slag treatment workshop based on the material consumption activity data, energy medium activity data, electricity activity data, carbon emission coefficients of each material, carbon emission coefficients of each energy medium, and carbon emission coefficient of electricity within the accounting boundary. .

[0060] Energy media and electricity activity data refer to the amount of energy media and electricity consumed in the process of processing steel slag. The carbon emission coefficients of energy media and electricity are the carbon emission values ​​of the material published by the industry or country.

[0061] Step S104: Calculate the magnetic separation powder output of the steel slag treatment workshop within the preset statistical period. Tailings production Magnetic separation powder iron grade Iron grade of tailings slag .

[0062] Step S106: Based on magnetic separation powder production Tailings production Magnetic separation powder iron grade Iron grade of tailings and total carbon footprint The total carbon footprint is allocated to obtain the carbon footprint per ton of magnetic separator powder. Carbon footprint per ton of tailings product With a fixed total output and total iron content, the iron grade of a product directly determines its carbon footprint per ton of product. The higher the iron grade of a product, the higher its carbon footprint per unit of product. In other words, extracting higher-value products from resources should bear more environmental costs.

[0063] First, the accounting boundary of the steel slag treatment workshop is determined, and the total carbon footprint within the boundary is calculated. Then, the output of magnetic separator powder, tailings output, iron grade of magnetic separator powder, and iron grade of tailings are statistically analyzed within a preset statistical period. Finally, based on the output, iron grade, and total carbon footprint, the total carbon footprint is allocated to obtain the carbon footprint per ton of magnetic separator powder and the carbon footprint per ton of tailings. By incorporating both product-level output and quality attribute information into the allocation process, carbon footprint allocation extends from total workshop-level accounting to product-level attribution accounting. Furthermore, the allocation simultaneously considers the quantity and iron content characteristics of different products, ensuring that the allocation results do not rely solely on a single economic or quality parameter, thus resolving the issue of carbon emission attribution between two types of products under continuous production conditions.

[0064] By establishing a complete process from boundary definition and data collection to product allocation, the steel slag processing workshop can still generate carbon footprint results per ton of magnetic separation powder and tailings without adding complex sub-metering equipment, providing a unified data standard for subsequent product accounting and workshop management.

[0065] In some embodiments, the accounting boundary of the steel slag treatment workshop is from the time the steel slag enters the treatment workshop to the time the magnetic separation powder and tailings are transported out of the treatment workshop; the accounting boundary at least covers the energy consumption data of the steel slag pretreatment and cooling process, the crushing and screening process, and the magnetic separation process.

[0066] Unlike existing technologies that focus on a single process or piece of equipment, this approach clarifies the workshop boundaries, fixing the data set upon which carbon footprint allocation depends within the same production unit. This provides a unified accounting object for subsequent total carbon footprint calculations and product allocation. By defining the workshop accounting boundaries, the possibility of duplicate or omitted entries between different processes or workshops can be reduced, which helps improve the consistency and verifiability of the total carbon footprint calculation results.

[0067] In some embodiments, the total carbon footprint of a steel slag treatment plant Calculate using the following formula:

[0068] ;

[0069] in, For the first Activity data for various materials, in tons;

[0070] For the first The carbon emission coefficient of a material, expressed in kilograms of carbon dioxide per ton;

[0071] For the first Activity data for various energy media, in tons or cubic meters;

[0072] For the first The carbon emission coefficient of a type of energy medium, expressed in kilograms of carbon dioxide per ton or kilograms of carbon dioxide per cubic meter.

[0073] This is data on electricity activity, expressed in kilowatt-hours.

[0074] This is the carbon emission factor for electricity, expressed in kilograms of carbon dioxide per kilowatt-hour.

[0075] For the first Activity data for various carbon sequestration products, in tons;

[0076] For the first The carbon emission coefficient of a carbon sequestration product, expressed in kilograms of carbon dioxide per ton.

[0077] By establishing a unified carbon emission baseline before allocation, subsequent product allocation is based on traceable and verifiable total workshop emission calculations. Calculating the total carbon footprint ensures a consistent calculation standard for workshop carbon footprints across different statistical periods, facilitating verification of original activity data and improving the method's operability and repeatability.

[0078] In some embodiments, the magnetic separation powder output of the steel slag treatment workshop is statistically analyzed within a preset statistical period. Tailings production Magnetic separation powder iron grade Iron grade of tailings slag ,include:

[0079] Set a preset statistical period, wherein the duration of the preset statistical period shall not be less than 6 months;

[0080] During each production shift, samples of magnetic separator powder and tailings are taken 3 to 5 times, with an interval of 1 to 2 hours between two consecutive samplings. Each sample is 200 to 400 grams, and the sampling locations are the magnetic separator powder feeding belt and the tailings feeding belt, respectively.

[0081] Within a preset statistical period, the total output of magnetic separation powder is calculated to obtain the magnetic separation powder output. ; Calculate the total tailings output to obtain the tailings production. ;

[0082] Within a pre-defined statistical period, iron grade data was obtained from each sample after testing. The iron grade of the sampled magnetic separator powder and the iron grade of the sampled tailings were statistically analyzed for each sampling. The iron grade of the magnetic separator powder was determined by summing the iron grades of all sampled magnetic separator powder and then dividing by the total number of samplings. The iron grade of the tailings is determined by summing the iron grades of all sampled tailings and then dividing by the total number of samplings. .

[0083] By combining sample collection frequency, time intervals, sampling locations, and statistical periods, a data acquisition system capable of reflecting continuous production fluctuations is established. Consequently, iron grade and output are no longer instantaneous values ​​but become statistically representative periodic parameters, providing stable input for subsequent carbon footprint allocation. By employing cross-shift, multiple sampling, and long-term statistical methods, the impact of single-sampling randomness on iron grade results can be reduced, making the average iron grade more closely match the output of the statistical period, thus improving the representativeness of the allocation results.

[0084] Incorporating iron grade into the carbon footprint allocation method overcomes the shortcomings of simple average allocation, making the allocation results more accurately reflect actual energy consumption. The reason for choosing iron grade as the allocation factor, rather than other indicators, is that steel slag treatment is not simply about indiscriminate crushing and magnetic separation, but rather about achieving the dissociation of iron from the slag matrix. The magnetically separated powder is separated precisely because it is rich in iron. Therefore, the entire process's consumption serves the purpose of iron extraction. Allocating carbon emissions based on iron grade directly reflects the physical and metallurgical objectives of this process.

[0085] The reason for using both iron grade and yield is that the recovery rate and grade of iron in steel slag depend on the fineness of crushing and grinding, as well as the intensity of magnetic separation. Obtaining magnetically separated powder with a higher iron grade requires longer grinding times and stronger magnetic fields, which corresponds to higher power consumption and carbon emissions. Conversely, tailings are the residue that has been stripped away. Therefore, allocating carbon emissions based on iron grade is essentially allocating them based on the implicit energy consumption consumed in extracting the product.

[0086] In some embodiments, the carbon footprint of magnetic separation powder per ton of product Calculate using the following formula:

[0087] ;

[0088] in, The carbon footprint of magnetic separation powder per ton of product is expressed in kilograms of carbon dioxide per ton.

[0089] This refers to the output of magnetic separation powder, expressed in tons.

[0090] The figure represents tailings output, in tons.

[0091] The iron content of the magnetically separated powder is expressed in % (%).

[0092] Iron content in tailings slag, in percentages (%)

[0093] The total carbon footprint of the steel slag treatment workshop is expressed in kilograms of carbon dioxide.

[0094] The carbon footprint allocation of magnetic separation powder is not determined solely by output or iron grade, but by the product of the two as the allocation factor. This allows the quantity and quality factors of the product to be treated uniformly in the same calculation process, which better reflects the resource ownership characteristics of magnetic separation powder as an iron-rich product in the formation process. It can convert the total carbon footprint of the workshop into the unit carbon footprint result at the magnetic separation powder product level, and further refine the carbon emission collection of magnetic separation powder from the total workshop accounting to the per-ton product accounting, which is convenient for subsequent product accounting and data comparison.

[0095] In some embodiments, the carbon footprint of tailings per ton of product, E_tailings, is calculated according to the following formula:

[0096] ,

[0097] in, Carbon footprint per ton of tailings product, expressed in kilograms of carbon dioxide per ton;

[0098] This refers to the output of magnetic separation powder, expressed in tons.

[0099] The figure represents tailings output, in tons.

[0100] The iron content of the magnetically separated powder is expressed in % (%).

[0101] Iron content in tailings slag, in percentages (%)

[0102] The total carbon footprint of the steel slag treatment workshop is expressed in kilograms of carbon dioxide.

[0103] Although tailings are a separate product, they are still calculated using the same attribution logic as magnetic separator powder. This ensures that both products generate corresponding results under the same statistical period, accounting boundary, and allocation principle. This symmetrical structure helps maintain the integrity of the entire allocation method. By generating carbon footprint results per ton of tailings, tailings are no longer simply included in the statistics as a residue, but rather quantifiable carbon footprint values ​​are obtained under unified rules, facilitating carbon management analysis in subsequent resource utilization processes.

[0104] Based on the embodiment of this application, a method for allocating the carbon footprint of steel slag magnetic separator powder and tailings based on iron grade and yield is provided below for auxiliary illustration:

[0105] (1) Determine the accounting boundary and total carbon footprint of the steel slag treatment workshop, and the energy consumption and output of the steel slag treatment workshop, such as... Figure 2 As shown in the figure. Energy consumption (electricity, water, steam, oxygen, etc.), material consumption, and carbon sequestration product output are collected from the company's MES system and energy management system. Iron grade is collected from the company's quality management system.

[0106] calculate .

[0107] (2) Determine the output of magnetic separation powder in the steel slag treatment workshop The tailings production was 11,035 tons. 96,388 tons, magnetic separation powder iron grade The iron content of the tailings was 60.3%. It is 18.4%.

[0108] (3) The total carbon footprint of steel slag is allocated to the steel slag magnetic separator powder and tailings, and the calculation formulas are as follows:

[0109] ;

[0110] .

[0111] A carbon footprint allocation method based on iron grade and yield of steel slag magnetic separation powder and tailings was used to calculate that the carbon emission per ton of magnetic separation powder was [missing information]. Each ton of tailings is This result takes into account the fact that although the output of magnetic separation powder is relatively low, it has a high iron content and the enrichment process is more energy-intensive, making the allocation result more scientific and reasonable.

[0112] While the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the invention. Those skilled in the art can make various modifications and refinements without departing from the spirit and scope of the invention. Therefore, the scope of protection of the present invention shall be determined by the claims.

Claims

1. A method for allocating the carbon footprint of steel slag magnetic separation fines and tailings based on iron grade and production, characterized by, include: determining an accounting boundary of a steel slag treatment plant, and calculating a total carbon footprint of the steel slag treatment plant based on material consumption activity data, energy medium activity data, electric power activity data within the accounting boundary, carbon emission coefficients of each material, carbon emission coefficients of each energy medium, and a carbon emission coefficient of electric power ; Statistical preset statistical period of steel slag treatment plant of magnetic separation powder yield , tailings yield , magnetic separation powder iron grade and tailings iron grade ; based on the magnetic concentrate production , the tailings production , the magnetic concentrate iron grade , the tailings iron grade and the total carbon footprint , the total carbon footprint is allocated to obtain a magnetic concentrate ton product carbon footprint and a tailings ton product carbon footprint .

2. A method for allocating carbon footprint of steel slag magnetic separation fines and tailings based on iron grade and yield as claimed in claim 1, wherein, The accounting boundary of the steel slag treatment workshop is from the time the steel slag enters the treatment workshop to the time the magnetic separation powder and tailings are transported out of the treatment workshop; the accounting boundary at least covers the energy consumption data of the steel slag pretreatment and cooling process, crushing and screening process, and magnetic separation process.

3. The method for allocating the carbon footprint of steel slag magnetic separator powder and tailings based on iron grade and yield according to claim 1, characterized in that, The total carbon footprint of the steel slag treatment plant The total carbon footprint of the steel slag treatment plant The total carbon footprint of the steel slag treatment plant The total ； wherein, is the first activity data of the material, in tons; The carbon emission coefficient of the first material is kg of carbon dioxide per ton of the first material. The carbon emission coefficient of the second material is kg of carbon dioxide per ton of the second material. For the first Activity data for various energy media, in tons or cubic meters; For the first The carbon emission coefficient of a type of energy medium, expressed in kilograms of carbon dioxide per ton or kilograms of carbon dioxide per cubic meter. This is data on electricity activity, expressed in kilowatt-hours. This is the carbon emission factor for electricity, expressed in kilograms of carbon dioxide per kilowatt-hour. For the first Activity data for various carbon sequestration products, in tons; For the first The carbon emission coefficient of a carbon sequestration product, expressed in kilograms of carbon dioxide per ton.

4. The method for allocating the carbon footprint of steel slag magnetic separator powder and tailings based on iron grade and yield according to claim 1, characterized in that, The magnetic separation powder output of the steel slag treatment workshop within the pre-set statistical period. Tailings production Magnetic separation powder iron grade Iron grade of tailings slag ,include: The preset statistical period is set, wherein the duration of the preset statistical period is not less than 6 months; During each production shift, samples of magnetic separator powder and tailings are taken 3 to 5 times, with an interval of 1 to 2 hours between two consecutive samplings. Each sample is 200 to 400 grams, and the sampling locations are the magnetic separator powder feeding belt and the tailings feeding belt, respectively. Within the preset statistical period, the total output of magnetic separator powder is counted to obtain the magnetic separator powder output. ; Calculate the total tailings output to obtain the tailings production. ; Within the preset statistical period, iron grade data is obtained from the samples taken each time after analysis. The iron grade of the sampled magnetic separator powder and the iron grade of the sampled tailings are statistically analyzed for each sampling. The iron grade of the magnetic separator powder is determined by summing the iron grades of all sampled magnetic separator powder and then dividing by the total number of samplings. The iron grade of the tailings is determined by summing the iron grades of all sampled tailings and then dividing by the total number of samplings. .

5. The method for allocating the carbon footprint of steel slag magnetic separator powder and tailings based on iron grade and yield according to claim 1, characterized in that, The carbon footprint of the magnetic separation powder per ton of product Calculate using the following formula: ； in, The carbon footprint of magnetic separation powder per ton of product is expressed in kilograms of carbon dioxide per ton. This refers to the output of magnetic separation powder, expressed in tons. The figure represents tailings output, in tons. The iron content of the magnetically separated powder is expressed in % (%). Iron content in tailings slag, in percentages (%) The total carbon footprint of the steel slag treatment workshop is expressed in kilograms of carbon dioxide.

6. The method for allocating the carbon footprint of steel slag magnetic separator powder and tailings based on iron grade and yield according to claim 1, characterized in that, The carbon footprint E_tailings per ton of product is calculated according to the following formula: ， in, Carbon footprint per ton of tailings product, expressed in kilograms of carbon dioxide per ton; This refers to the output of magnetic separation powder, expressed in tons. The figure represents tailings output, in tons. The iron content of the magnetically separated powder is expressed in % (%). Iron content in tailings slag, in percentages (%) The total carbon footprint of the steel slag treatment workshop is expressed in kilograms of carbon dioxide.

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