Method and device for obtaining emission reduction of closed-loop recycled carbon of textile fabric
By obtaining the original weight and material data of textile fabrics, selecting the target carbon emission reduction method, and calculating the target and benchmark carbon emissions, the problem of inaccurate carbon emission reduction accounting during textile fabric recycling is solved, accurate carbon emission reduction accounting and data credibility are achieved, and carbon asset trading is supported.
Patent Information
- Application Number
- CN202510468047.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-15
- Publication Date
- 2025-08-12
AI Technical Summary
In the prior art, the carbon emission reduction calculation during textile fabric recycling process is not accurate enough, the emission reduction benefits are not fully quantified, and the regional carbon emission reduction potential cannot be dynamically reflected.
By obtaining the original weight of textile fabrics, selecting candidate carbon emission reduction methods, calculating target carbon emissions and benchmark carbon emissions, combining material proportion, loss factor and power grid emission factors, dynamically match carbon emission reduction methods, using blockchain technology to improve data credibility, and generate carbon emission reduction reports.
It has realized the accurate accounting of carbon emission reduction in the closed-loop recycling process of textile fabrics, fully quantified the emission reduction benefits, improved the credibility and traceability of data, and supported carbon asset trading.
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Figure CN120471331A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of carbon emission reduction accounting, and in particular to a method and device for obtaining carbon emission reduction from closed-loop recycling of textile fabrics. Background Art
[0002] In related technologies, current carbon emission reduction accounting for textile fabric recycling often uses traditional landfill / incineration baseline data. For example, the landfill carbon emission factor is 1.8tCO2 / t, which cannot dynamically reflect the regional carbon emission reduction potential. It also does not integrate the impact of process path selection on carbon emission reduction, resulting in a high error in the calculation of carbon emission reduction. As a result, the calculation results of carbon emission reduction in the textile fabric recycling process are not accurate enough. At the same time, the emission reduction benefits of the textile fabric recycling process have not been fully quantified. Summary of the Invention
[0003] The purpose of this application is to solve one of the technical problems in the above technology at least to a certain extent.
[0004] In a first aspect, the present application provides a method for obtaining carbon emission reductions from closed-loop recycling of textile fabrics, comprising: obtaining the original weight of the textile fabric; obtaining candidate carbon emission reduction methods for the textile fabric, and selecting a target carbon emission reduction method for the textile fabric from the candidate carbon emission reduction methods; based on the original weight, obtaining a target carbon emission of the textile fabric under the target carbon emission reduction method, and obtaining a baseline carbon emission of the textile fabric under the baseline carbon emission reduction method; and obtaining the carbon emission reduction of the textile fabric based on the target carbon emission and the baseline carbon emission.
[0005] In a second aspect of the present application, a device for obtaining carbon emission reductions from closed-loop recycling of textile fabrics is provided, comprising: a first acquisition module for obtaining the original weight of the textile fabric; a selection module for obtaining candidate carbon emission reduction methods for the textile fabric and selecting a target carbon emission reduction method for the textile fabric from the candidate carbon emission reduction methods; a second acquisition module for obtaining, based on the original weight, the target carbon emissions of the textile fabric under the target carbon emission reduction method, and obtaining the baseline carbon emissions of the textile fabric under the baseline carbon emission reduction method; and a third acquisition module for obtaining the carbon emission reductions of the textile fabric based on the target carbon emissions and the baseline carbon emissions.
[0006] The third aspect of the present application provides an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method for obtaining carbon emission reductions from closed-loop recycling of textile fabrics provided in the first aspect of the present application.
[0007] The fourth aspect of the present application provides a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable the computer to execute the method for obtaining carbon emission reductions from closed-loop recycling of textile fabrics provided in the first aspect of the present application.
[0008] The fifth aspect of the present application provides a computer program product. When the instruction processor in the computer program product is executed, the method for obtaining the carbon emission reduction of closed-loop recycling of textile fabrics provided in the first aspect of the present application is executed.
[0009] The present application provides a method for obtaining carbon emission reductions from closed-loop recycling of textile fabrics. The method obtains candidate carbon emission reduction methods for the textile fabric by obtaining the original weight of the textile fabric, selects a target carbon emission reduction method for the textile fabric from the candidate carbon emission reduction methods, obtains the target carbon emissions of the textile fabric under the target carbon emission reduction method based on the original weight, and obtains the baseline carbon emissions of the textile fabric under the baseline carbon emission reduction method. The carbon emission reductions of the textile fabric are obtained based on the target carbon emissions and the baseline carbon emissions. By obtaining the target carbon emissions of the textile fabric under the target carbon emission reduction method, the present application integrates the impact of different carbon emission reduction methods on carbon emission reductions. Based on the target carbon emissions and the baseline carbon emissions, the carbon emission reductions of the textile fabric closed-loop recycling can be obtained more accurately and efficiently, and the carbon emission reduction benefits of the textile fabric recycling process are fully quantified.
[0010] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS
[0011] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:
[0012] Figure 1 This is a flow chart of a method for obtaining carbon emission reductions from closed-loop recycling of textile fabrics according to one embodiment of the present application;
[0013] Figure 2 This is a flow chart of a method for obtaining carbon emission reductions from closed-loop recycling of textile fabrics according to another embodiment of the present application;
[0014] Figure 3 This is a flow chart of a method for obtaining carbon emission reductions from closed-loop recycling of textile fabrics according to another embodiment of the present application;
[0015] Figure 4 This is a flow chart of a method for obtaining carbon emission reductions from closed-loop recycling of textile fabrics according to another embodiment of the present application;
[0016] Figure 5This is a schematic structural diagram of a device for obtaining carbon emission reductions from closed-loop recycling of textile fabrics according to one embodiment of the present application;
[0017] Figure 6 It is a block diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION
[0018] The following describes in detail embodiments of the present application, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.
[0019] The following describes, with reference to the accompanying drawings, a method, device, electronic device, and medium for obtaining carbon emission reductions from closed-loop recycling of textile fabrics according to an embodiment of the present application.
[0020] Figure 1 This is a flow chart of a method for obtaining carbon emission reductions from closed-loop recycling of textile fabrics according to an embodiment of the present application. Figure 1 As shown, the method includes:
[0021] S101, obtaining the original weight of the textile fabric.
[0022] It should be noted that the present application does not limit the specific method for obtaining the original weight of the textile fabric, which can be selected according to actual conditions.
[0023] Optionally, the original weight of the textile fabric can be obtained based on a weight sensor.
[0024] S102: Obtain candidate carbon emission reduction methods for textile fabrics, and select a target carbon emission reduction method for textile fabrics from the candidate carbon emission reduction methods.
[0025] It should be noted that candidate carbon emission reduction methods include but are not limited to: physical recovery (e.g. mechanical opening), chemical recovery (e.g. solvent depolymerization), and biological recovery (e.g. enzyme catalysis).
[0026] In the embodiment of the present application, after obtaining the candidate carbon emission reduction methods for the textile fabric, any one of the candidate carbon emission reduction methods can be selected as the target carbon emission reduction method for the textile fabric.
[0027] S103: Based on the original weight, obtaining the target carbon emission of the textile fabric under the target carbon emission reduction mode, and obtaining the baseline carbon emission of the textile fabric under the baseline carbon emission reduction mode.
[0028] In an embodiment of the present application, a first target carbon emission amount of the textile fabric during recycling and transportation can be obtained based on the original weight, and parameter data of the textile fabric can be obtained, wherein the parameter data includes at least a material ratio, a loss factor, and a grid emission factor. Based on the material ratio, the loss factor, and the original weight, a first weight of the first textile fabric corresponding to each material is determined, energy consumption data of the target carbon emission reduction method is obtained, a second target carbon emission amount of the first textile fabric during reprocessing is obtained based on the first weight, the energy consumption data, and the grid emission factor, a recycled material blending ratio is obtained, a second weight of the second textile fabric corresponding to each material is obtained based on the first weight and the recycled material blending ratio, a third target carbon emission amount of the second textile fabric corresponding to each material during the production process is obtained based on the second weight, and a target carbon emission amount is obtained based on the first target carbon emission amount, the second target carbon emission amount, and the third carbon emission reduction amount.
[0029] In an embodiment of the present application, a first baseline carbon emission amount of the textile fabric during landfilling / or incineration can be obtained based on the original weight, and a third weight of the third textile fabric corresponding to each material can be obtained based on the first weight and the second weight. Based on the third weight, a second baseline carbon emission amount of the third textile fabric corresponding to each material during the production process is obtained, and a baseline carbon emission amount is obtained based on the first baseline carbon emission amount and the second baseline carbon emission amount.
[0030] S104: Obtain carbon emission reduction of textile fabrics based on the target carbon emission and the baseline carbon emission.
[0031] In the implementation of this application, after obtaining the target carbon emissions and the baseline carbon emissions, the difference between the baseline carbon emissions and the target carbon emissions can be obtained, and the difference can be determined as the carbon emission reduction of the textile fabric.
[0032] For example, if the target carbon emission of textile fabrics is C and the baseline carbon emission of textile fabrics is C*, then the carbon emission reduction of textile fabrics CER = C* - C.
[0033] The present application proposes a method for obtaining carbon emission reductions from closed-loop recycling of textile fabrics. The method obtains the original weight of the textile fabric, obtains candidate carbon emission reduction methods for the textile fabric, selects a target carbon emission reduction method for the textile fabric from the candidate carbon emission reduction methods, obtains the target carbon emissions of the textile fabric under the target carbon emission reduction method based on the original weight, and obtains the baseline carbon emissions of the textile fabric under the baseline carbon emission reduction method. The carbon emission reductions of the textile fabric are obtained based on the target carbon emissions and the baseline carbon emissions. Thus, the present application integrates the impact of different carbon emission reduction methods on carbon emission reductions by obtaining the target carbon emissions of the textile fabric under the target carbon emission reduction method. Based on the target carbon emissions and the baseline carbon emissions, the carbon emission reductions of the textile fabric can be obtained more accurately and efficiently. The carbon emission reduction benefits of the textile fabric recycling process are fully quantified.
[0034] Figure 2 This is a flow chart of a method for obtaining carbon emission reductions from closed-loop recycling of textile fabrics according to an embodiment of the present application. Figure 2 , the specific process of obtaining the target carbon emissions of textile fabrics under the target carbon emission reduction method based on the original weight is explained, including the following steps:
[0035] S201: Obtain a first target carbon emission amount of the textile fabric during recycling and transportation based on the original weight.
[0036] In an embodiment of the present application, the recycling transportation distance of the textile fabric during the recycling transportation process and the carbon emission factor of the recycling transportation vehicle can be obtained, and the product of the original weight, the recycling transportation distance and the carbon emission factor can be obtained. Based on the product, the first target carbon emission amount C1 of the textile fabric during the recycling transportation process is determined.
[0037] For example, if the textile fabric is waste denim with an original weight of 1 ton, the transportation distance is 200 km, and the carbon emission factor of the diesel truck is 2.89 kg CO2 / km·t, then the first target carbon emission C1 of the textile fabric during the recycling and transportation process is 578 kg, that is, 578 kg of carbon dioxide emissions (200 km × 2.89 kg CO2 / km·t × 1 ton).
[0038] S202: Obtain parameter data of textile fabrics, wherein the parameter data at least includes material ratio, loss factor, and grid emission factor.
[0039] Optionally, with respect to the material ratio of the textile fabric, the material ratio of the textile fabric may be obtained based on an infrared spectrometer.
[0040] For example, if the textile fabric is waste denim, the material purity of the waste denim is tested based on an infrared spectrometer to obtain the material ratio of the textile fabric as: 60% cotton and 40% polyester.
[0041] It should be noted that the international carbon footprint database lacks measured data from Chinese recycled textile companies, forcing export companies to adopt relatively high grid emission factors. At the same time, brands often require suppliers to provide regional grid emission factors. However, existing technologies cannot dynamically match grid emission factors.
[0042] In an embodiment of the present application, the location information and timestamp information of the production of textile fabrics can be obtained, and based on the location information and timestamp information, a pre-built grid emission factor database is queried for dynamic matching to obtain the grid emission factor corresponding to the textile fabric.
[0043] The power grid emission factor database includes the power grid emission factors corresponding to each location and time interval.
[0044] For example, the power grid emission factor in North China in the first half of 2022 is a, and the power grid emission factor in North China in the second half of 2022 is b. If the location information of textile product production is North China, China, and the timestamp information is October 2, 2022, then the power grid emission factor of textile fabrics is b.
[0045] S203: Determine a first weight of the first textile fabric corresponding to each material according to the material proportion, the loss factor, and the original weight.
[0046] In an embodiment of the present application, after obtaining the material proportion, loss factor and original weight, the product of the material proportion, loss factor and original weight can be obtained, and the first weight of the first textile fabric corresponding to each material can be determined based on the product.
[0047] For example, if the textile fabric is waste denim, with an original weight of 1 t, a material ratio of 60% cotton and 40% polyester, and a loss factor of 10%, the weight of the first textile fabric corresponding to cotton is 0.54 t (1 t × 90% × 60%), and the weight of the first textile fabric corresponding to polyester is 0.36 t (1 t × 90% × 40%).
[0048] S204: Obtain energy consumption data of the target carbon emission reduction method, and obtain a second target carbon emission amount of the first textile fabric during the reprocessing process based on the first weight, the energy consumption data, and the grid emission factor.
[0049] Alternatively, if the target carbon emission reduction method is chemical recycling, smart meters can be installed in the depolymerization reactor and the spinning machine, and based on the smart meters, the energy consumption data of the depolymerization reactor and the energy consumption data of the spinning machine can be determined respectively.
[0050] It should be noted that the first textile fabric can be understood as recycled material, which can be used again to produce new products or used as raw material.
[0051] For example, if the target carbon emission reduction method is physical recycling, the energy consumption data can be 0.8-1.2kWh / kg; if the target carbon emission reduction method is chemical recycling, the energy consumption data can be 2.5-4.0kWh / kg.
[0052] In the embodiment of the present application, the product of the first weight, the energy consumption data, and the grid emission factor may be obtained, and the second target carbon emission amount of the first textile fabric during the reprocessing process may be determined based on the product.
[0053] For example, for the first textile fabric corresponding to cotton, if the first weight is 0.54t (540kg), the energy consumption data is 3kWh / kg, and the grid emission factor is 0.763kgCO2 / kWh, the carbon emissions of the first textile fabric corresponding to cotton during the reprocessing process are 1236.06kg, that is, 1236.06kg of carbon dioxide emissions (540kg×3kWh / kg×0.763kgCO2 / kWh); the weight of the first textile fabric corresponding to polyester is The amount is 0.36 t (1 t × 90% × 40%); for the first textile fabric corresponding to polyester, if the first weight is 0.36 t (360 kg), the energy consumption data is 3 kWh / kg, and the grid emission factor is 0.763 kg CO2 / kWh, the carbon emissions of the first textile fabric corresponding to polyester during the reprocessing process are 820.8 kg, that is, 820.8 kg of carbon dioxide emissions (360 kg × 3 kWh / kg × 0.763 kg CO2 / kWh).
[0054] In the embodiment of the present disclosure, after obtaining the carbon emissions of the first textile fabric corresponding to each material, the carbon emissions of the first textile fabric corresponding to each material can be summed to obtain a second target carbon emissions C2 of the first textile fabric during the reprocessing process.
[0055] For example, for a first textile fabric corresponding to cotton and a first textile fabric corresponding to polyester, if the carbon emissions of the first textile fabric corresponding to cotton during the reprocessing process are 1236.06 kg and the carbon emissions of the first textile fabric corresponding to polyester during the reprocessing process are 820.8 kg, then the second target carbon emissions C2 of the first textile fabric during the reprocessing process is 2056.86 kg (1236.06 kg + 820.8 kg).
[0056] S205: Obtain a blending ratio of recycled materials, and obtain a second weight of the second textile fabric corresponding to each material according to the first weight and the blending ratio of recycled materials.
[0057] The second textile fabric can be understood as new material, that is, not recycled or reused.
[0058] Among them, the blending ratio of recycled materials is greater than or equal to 50%.
[0059] For example, if the blending ratio of recycled materials is 50%, that is, the blending ratio of recycled materials to new materials is 1:1, if the first weight of the first textile fabric (old material) corresponding to cotton is 0.54t, then the second weight of the second textile fabric (new material) corresponding to cotton is 0.54t; if the first weight of the first textile fabric (old material) corresponding to polyester is 0.36t, then the second weight of the second textile fabric (new material) corresponding to polyester is 0.36t.
[0060] S206: Based on the second weight, obtain a third target carbon emission amount during the production process of the second textile fabric corresponding to each material.
[0061] Optionally, a public database can be queried to determine the carbon emissions of the second textile fabric corresponding to each material produced by the recycling plant based on the second weight, and the carbon emissions of the second textile fabric corresponding to each material can be summed to obtain a third target carbon emissions C3 during the production process of the second textile fabric.
[0062] For example, for the second textile fabric corresponding to cotton, if the second weight is 0.54 t, by querying the public database, the carbon emissions from producing 0.54 t of the second textile fabric corresponding to cotton are determined to be a1. For the second textile fabric corresponding to polyester, if the second weight is 0.36 t, by querying the public database, the carbon emissions from producing 0.36 t of the second textile fabric corresponding to polyester are determined to be a2. Then, the third target carbon emissions C3 is a1 + a2.
[0063] S207: Obtain a target carbon emission amount according to the first target carbon emission amount, the second target carbon emission amount, and the third target carbon emission reduction amount.
[0064] In an embodiment of the present application, after obtaining the first target carbon emissions, the second target carbon emissions and the third target carbon emission reduction, the first target carbon emissions, the second target carbon emissions and the third target carbon emission reduction can be summed to obtain the target carbon emissions C.
[0065] The present application proposes a method for obtaining carbon emission reductions from closed-loop recycling of textile fabrics. The method comprises obtaining a first target carbon emission amount of the textile fabric during recycling and transportation based on the original weight, obtaining parameter data of the textile fabric, wherein the parameter data includes at least material proportion, loss factor, and grid emission factor. The method then determines a first weight of the first textile fabric corresponding to each material based on the material proportion, loss factor, and original weight, obtains a recycled material blending ratio, obtains a second weight of the second textile fabric corresponding to each material based on the first weight and the recycled material blending ratio, obtains a third target carbon emission amount during the production process of the second textile fabric corresponding to each material based on the second weight, and obtains a target carbon emission amount based on the first target carbon emission amount, the second target carbon emission amount, and the third target carbon emission reduction amount. Thus, the present application can obtain the target carbon emission amount more accurately and can fully quantify the carbon emission reduction benefits of the textile fabric recycling process, thus having important environmental and economic value.
[0066] Figure 3 This is a flow chart of a method for obtaining carbon emission reductions from closed-loop recycling of textile fabrics according to an embodiment of the present application. Figure 3The specific process of obtaining the baseline carbon emissions of the textile fabric under the baseline carbon emission reduction method is explained, including the following steps:
[0067] S301: Obtain a first benchmark carbon emission amount of the textile fabric during landfilling or incineration based on the original weight.
[0068] Optionally, a landfill carbon emission factor of the textile fabric may be obtained, and a first benchmark carbon emission amount C1* of the textile fabric during the landfill process may be obtained based on the original weight and the landfill carbon emission factor.
[0069] Optionally, the incineration carbon emission factor of the textile fabric may be obtained, and based on the original weight and the incineration carbon emission factor, a first benchmark carbon emission amount C1* of the textile fabric during the incineration process may be obtained.
[0070] S302: Obtain a third weight of a third textile fabric corresponding to each material according to the first weight and the second weight.
[0071] Among them, the third textile fabric can be understood as being produced entirely from new materials.
[0072] For example, if the first weight of the first textile fabric (old material) corresponding to cotton is 0.54 t and the second weight of the second textile fabric (new material) corresponding to cotton is 0.54 t, then the third weight of the third textile fabric corresponding to cotton is 1.08 t. If the first weight of the first textile fabric (old material) corresponding to polyester is 0.36 t and the second weight of the second textile fabric (new material) corresponding to polyester is 0.36 t, then the third weight of the third textile fabric corresponding to cotton is 0.72 t.
[0073] S303: Based on the third weight, obtain a second baseline carbon emission amount during the production process of the third textile fabric corresponding to each material.
[0074] For example, for the third textile fabric corresponding to cotton, if the third weight is 1.08 t, by querying the public database, the carbon emissions from producing 1.08 t of the third textile fabric corresponding to cotton are determined to be b1. For the third textile fabric corresponding to polyester, if the third weight is 0.72 t, by querying the public database, the carbon emissions from producing 0.72 t of the third textile fabric corresponding to polyester are determined to be b2. In this case, the second baseline carbon emissions C2* is b1 + b2.
[0075] It should be noted that, under the target carbon emission reduction method, the sum of the second target carbon emissions of the first textile fabric (old material) in the reprocessing process and the third target carbon emissions of the second textile fabric (new material) in the production process can be obtained, which can be understood as the carbon emissions required to produce the third weight of the third textile fabric (new material). Under the baseline carbon emission reduction method, it is the second baseline carbon emissions. According to the carbon emissions required to produce the third weight of the third textile fabric (new material) and the second baseline carbon emissions, the carbon offset and cost savings of replacing old materials with new materials can be calculated, that is, the carbon emission reduction benefits and economic costs can be quantified.
[0076] S304: Obtain a benchmark carbon emission amount according to the first benchmark carbon emission amount and the second benchmark carbon emission amount.
[0077] In the embodiment of the present application, after the first baseline carbon emissions and the second baseline carbon emissions are obtained, the first baseline carbon emissions and the second baseline carbon emissions may be summed to obtain the baseline carbon emissions C*.
[0078] The present application proposes a method for obtaining carbon emission reductions from closed-loop recycling of textile fabrics. The method obtains a first baseline carbon emission amount of the textile fabric during landfilling / or incineration based on the original weight, obtains a third weight of a third textile fabric corresponding to each material based on the first weight and the second weight, obtains a second baseline carbon emission amount of the third textile fabric corresponding to each material during the production process based on the third weight, and obtains a baseline carbon emission amount based on the first baseline carbon emission amount and the second baseline carbon emission amount. Thus, the present application ensures the accuracy of the obtained baseline carbon emission amount, laying the foundation for more accurate acquisition of carbon emission reductions.
[0079] In this embodiment of the present application, after obtaining the target carbon emissions and the baseline carbon emissions, the difference between the baseline carbon emissions and the target carbon emissions can be obtained to obtain the carbon emission reduction rate (CER) of the textile fabric. After obtaining the carbon reduction, the carbon emission reduction range of the textile fabric under a preset confidence level can be obtained.
[0080] Figure 4 This is a flow chart of a method for obtaining carbon emission reductions from closed-loop recycling of textile fabrics according to an embodiment of the present application. Figure 4 The specific process of obtaining the carbon emission reduction range of textile fabrics under a preset confidence level is explained, including the following steps:
[0081] S401: Obtain a carbon emission reduction error value under a preset confidence level.
[0082] It should be noted that the present application does not limit the setting of the preset confidence level, for example, the preset confidence level is 95%.
[0083] In an embodiment of the present application, the variable data and carbon emission reduction amount in the target carbon emission reduction method can be modeled to obtain a carbon emission reduction amount calculation model, obtain sample variable data, obtain sample carbon emission reduction amount based on the sample variable data and the carbon emission reduction amount calculation model, obtain the mean and standard deviation of the sample carbon emission reduction amount, obtain the carbon emission reduction amount interval under a preset confidence level based on the mean and standard deviation of the sample carbon emission reduction amount, and obtain the carbon emission reduction amount error value under the preset confidence level based on the carbon emission reduction amount interval under the preset confidence level.
[0084] For example, if the target carbon emission reduction method is physical recycling, the variable data can be sorting purity, recycling transportation distance, etc.
[0085] S402: Obtaining a carbon emission reduction range of the textile fabric under a preset confidence level according to the carbon emission reduction error value and the carbon emission reduction of the textile fabric.
[0086] For example, if the confidence level is 95% and the carbon emission reduction error is ±5%, then the carbon emission reduction range of textile fabrics at a 95% confidence level is [CER-5%, CER+5%].
[0087] It should be noted that relevant technologies cannot monitor carbon emission data and energy consumption data in each process in real time. At the same time, the data sovereignty mechanism is imperfect, and encrypted transmission between supply chain companies is not achieved through alliance chains such as modular distributed ledgers (Hyperledger Fabric), resulting in poor credibility of data between supply chain companies.
[0088] In an embodiment of the present application, for the target carbon emission reduction method, the carbon emission data of the textile fabric in each process can be hashed to obtain a first hash value of the carbon emission data of the textile fabric in each process, and the material ratio of the textile fabric can be hashed to obtain a second hash value of the material ratio of the textile fabric. The first hash value and the second hash value are stored in the blockchain to improve the credibility of the data.
[0089] In an embodiment of the present application, in response to the recycled material blending ratio passing the Global Recycled Standard (GRS) certification, a GRS certification number is generated, and a carbon emission reduction report for the textile fabric is generated based on the first hash value, the second hash value and the GRS certification number.
[0090] Among them, the carbon emission reduction report of textile fabrics can be in PDF format and comply with the carbon emission reduction report of China Certified Emission Reduction (CCER), which can support subsequent carbon asset trading.
[0091] Optionally, the carbon emission reduction report may also include a carbon label printing link, which is connected to the carbon label printing link through an application programming interface to generate a carbon footprint label containing a QR code, so that the carbon footprint tracking report can be traced by scanning the QR code to achieve accurate tracking.
[0092] The present application proposes a method for obtaining carbon emission reductions from closed-loop recycling of textile fabrics. The method obtains a carbon emission reduction error value under a preset confidence level, and obtains a carbon emission reduction range of the textile fabric under the preset confidence level based on the carbon emission reduction error value and the carbon emission reduction of the textile fabric. Thus, the present application can obtain a carbon emission reduction range of the textile fabric under the preset confidence level based on the carbon emission reduction error value and the carbon emission reduction of the textile fabric, and can correct the carbon emission reduction of the textile fabric to ensure the reliability of the carbon emission reduction range of the textile fabric.
[0093] Figure 5 This is a structural diagram of a device for obtaining carbon emission reductions from closed-loop recycling of textile fabrics according to an embodiment of the present application. Figure 5 As shown, a device 1000 for obtaining carbon emission reductions from closed-loop recycling of textile fabrics includes a first obtaining module 110, a selection module 120, a second obtaining module 130, and a third obtaining module 140, wherein:
[0094] A first obtaining module 110 is used to obtain the original weight of the textile fabric;
[0095] a selection module 120 for obtaining candidate carbon emission reduction methods for the textile fabric and selecting a target carbon emission reduction method for the textile fabric from the candidate carbon emission reduction methods;
[0096] A second acquisition module 130 is configured to acquire, based on the original weight, a target carbon emission amount of the textile fabric under the target carbon emission reduction mode, and acquire a baseline carbon emission amount of the textile fabric under the baseline carbon emission reduction mode;
[0097] The third acquisition module 140 is configured to acquire the carbon emission reduction of the textile fabric according to the target carbon emission and the baseline carbon emission.
[0098] The second aspect of this application provides a device for obtaining carbon emission reductions from closed-loop recycling of textile fabrics, which also has the following technical features.
[0099] According to one embodiment of the present application, the second acquisition module 130 is configured to: obtain, based on the original weight, a first target carbon emission amount of the textile fabric during recycling and transportation; obtain parameter data of the textile fabric, wherein the parameter data includes at least a material ratio, a loss factor, and a grid emission factor; determine a first weight of the first textile fabric corresponding to each material based on the material ratio, the loss factor, and the original weight; obtain energy consumption data of the target carbon emission reduction method, and obtain a second target carbon emission amount of the first textile fabric during reprocessing based on the first weight, the energy consumption data, and the grid emission factor; obtain a recycled material blending ratio, and obtain a second weight of the second textile fabric corresponding to each material based on the first weight and the recycled material blending ratio; obtain a third target carbon emission amount of the second textile fabric corresponding to each material during the production process based on the second weight; and obtain the target carbon emission amount based on the first target carbon emission amount, the second target carbon emission amount, and the third target carbon emission reduction amount.
[0100] According to one embodiment of the present application, the second acquisition module 130 is used to: obtain a first baseline carbon emission amount of the textile fabric during the landfill / or incineration process based on the original weight; obtain a third weight of the third textile fabric corresponding to each material based on the first weight and the second weight; obtain a second baseline carbon emission amount of the third textile fabric corresponding to each material during the production process based on the third weight; and obtain the baseline carbon emissions based on the first baseline carbon emissions and the second baseline carbon emissions.
[0101] According to one embodiment of the present application, the process of obtaining the grid emission factor includes: obtaining location information and timestamp information of the production of the textile fabric; and querying a pre-built grid emission factor database based on the location information and the timestamp information to obtain the grid emission factor corresponding to the textile fabric.
[0102] According to one embodiment of the present application, the device 1000 is used to: obtain a carbon emission reduction error value under a preset confidence level; and obtain a carbon emission reduction range of the textile fabric under the preset confidence level based on the carbon emission reduction error value and the carbon emission reduction of the textile fabric.
[0103] According to one embodiment of the present application, device 1000 is used to: model the variable data and carbon emission reduction amount in the target carbon emission reduction method to obtain a carbon emission reduction calculation model; obtain sample variable data, and obtain sample carbon emission reduction amount based on the sample variable data and the carbon emission reduction calculation model; obtain the mean and standard deviation of the sample carbon emission reduction amount, and obtain the carbon emission reduction amount interval under the preset confidence level based on the mean and standard deviation of the sample carbon emission reduction amount; obtain the carbon emission reduction amount error value under the preset confidence level based on the carbon emission reduction amount interval under the preset confidence level.
[0104] According to one embodiment of the present application, device 1000 is used to: obtain a first hash value of carbon emission data of a textile fabric in each process for the target carbon emission reduction method, and obtain a second hash value of the material ratio of the textile fabric; and store the first hash value and the second hash value in a blockchain.
[0105] According to one embodiment of the present application, device 1000 is used to: generate a GRS certification number in response to the recycled material blending ratio passing the Global Recycling Standard GRS certification; and generate a carbon emission reduction report for the textile fabric based on the first hash value, the second hash value and the GRS certification number.
[0106] The present application proposes a device for obtaining carbon emission reductions from closed-loop recycling of textile fabrics. The device obtains the original weight of the textile fabric, obtains candidate carbon emission reduction methods for the textile fabric, selects a target carbon emission reduction method for the textile fabric from the candidate carbon emission reduction methods, obtains the target carbon emissions of the textile fabric under the target carbon emission reduction method based on the original weight, and obtains the baseline carbon emissions of the textile fabric under the baseline carbon emission reduction method. The carbon emission reductions of the textile fabric are obtained based on the target carbon emissions and the baseline carbon emissions. Therefore, the present application integrates the impact of different carbon emission reduction methods on carbon emission reductions by obtaining the target carbon emissions of the textile fabric under the target carbon emission reduction method. Based on the target carbon emissions and the baseline carbon emissions, the carbon emission reductions of the textile fabric can be obtained more accurately and efficiently. The carbon emission reduction benefits of the textile fabric recycling process are fully quantified.
[0107] To achieve the above embodiments, the present application also provides an electronic device, a computer-readable storage medium, and a computer program product.
[0108] Figure 6 This is a block diagram of an electronic device according to an embodiment of the present application, such as Figure 6 As shown, the device 2000 includes a memory 210, a processor 220, and a computer program stored in the memory 210 and executable on the processor 220. When the processor 220 executes the program instructions, the execution is realized. Figures 1 to 4 An embodiment of a method for obtaining carbon emission reductions from closed-loop recycling of textile fabrics.
[0109] In order to implement the above embodiment, the present application also provides a non-transitory computer readable storage medium storing computer instructions, which is used to enable the computer to execute Figures 1 to 4 A method for obtaining carbon emission reductions from closed-loop recycling of textile fabrics according to an embodiment of the present invention.
[0110] In order to implement the above embodiment, the present application also provides a computer program product, when the instruction processor in the computer program product executes Figures 1 to 4 A method for obtaining carbon emission reductions from closed-loop recycling of textile fabrics according to an embodiment of the present invention.
[0111] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.
[0112] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of such features. Throughout the description of this application, "plurality" means at least two, for example, two, three, etc., unless otherwise specifically defined.
[0113] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present application belong.
[0114] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and a portable compact disc read-only memory (CDROM). Furthermore, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing it in another suitable manner if necessary, and then storing it in a computer memory.
[0115] It should be understood that various parts of the present application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used to implement: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.
[0116] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.
[0117] In addition, the functional units in the various embodiments of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into a module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.
[0118] The storage medium mentioned above may be a read-only memory, a magnetic disk, or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application. Persons skilled in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.
Claims
1. A method for obtaining carbon emission reductions from closed-loop recycling of textile fabrics, characterized in that: The method comprises: Get the original weight of textile fabric; obtaining candidate carbon emission reduction methods for the textile fabric, and selecting a target carbon emission reduction method for the textile fabric from the candidate carbon emission reduction methods; Based on the original weight, obtaining a target carbon emission amount of the textile fabric under the target carbon emission reduction mode, and obtaining a baseline carbon emission amount of the textile fabric under the baseline carbon emission reduction mode; The carbon emission reduction of the textile fabric is obtained according to the target carbon emission and the baseline carbon emission.
2. The method according to claim 1, characterized in that The step of obtaining, based on the original weight, a target carbon emission amount of the textile fabric under the target carbon emission reduction method comprises: obtaining a first target carbon emission amount of the textile fabric during recycling and transportation based on the original weight; Obtaining parameter data of the textile fabric, wherein the parameter data at least includes material ratio, loss factor, and grid emission factor; determining a first weight of the first textile fabric corresponding to each material according to the material proportion, the loss factor, and the original weight; Obtaining energy consumption data for the target carbon emission reduction method, and obtaining a second target carbon emission amount during the reprocessing of the first textile fabric based on the first weight, the energy consumption data, and the grid emission factor; Obtaining a blending ratio of recycled materials, and obtaining a second weight of a second textile fabric corresponding to each material based on the first weight and the blending ratio of recycled materials; Based on the second weight, obtaining a third target carbon emission amount during the production process of the second textile fabric corresponding to each material; The target carbon emissions are obtained according to the first target carbon emissions, the second target carbon emissions and the third target carbon emission reduction.
3. The method according to claim 2, characterized in that The obtaining of the baseline carbon emissions of the textile fabric under the baseline carbon emission reduction method includes: Obtaining a first baseline carbon emission amount of the textile fabric during landfilling or incineration based on the original weight; Obtaining a third weight of a third textile fabric corresponding to each material according to the first weight and the second weight; Based on the third weight, obtaining a second baseline carbon emission amount during the production process of the third textile fabric corresponding to each material; The benchmark carbon emissions are obtained according to the first benchmark carbon emissions and the second benchmark carbon emissions.
4. The method according to claim 2, characterized in that The process of obtaining the grid emission factor includes: Obtaining location information and timestamp information of producing the textile fabric; According to the location information and the timestamp information, a pre-built grid emission factor database is queried to obtain a grid emission factor corresponding to the textile fabric.
5. The method according to claim 1, wherein After obtaining the carbon emission reduction of the textile fabric, the method further includes: Obtain the carbon emission reduction error value under the preset confidence level; According to the carbon emission reduction error value and the carbon emission reduction of the textile fabric, a carbon emission reduction range of the textile fabric under the preset confidence level is obtained.
6. The method according to claim 5, characterized in that The obtaining of the carbon emission reduction error value under a preset confidence level includes: Modeling the variable data and carbon emission reduction amount in the target carbon emission reduction method to obtain a carbon emission reduction calculation model; Obtaining sample variable data, and obtaining sample carbon emission reduction based on the sample variable data and the carbon emission reduction calculation model; Obtaining a mean and a standard deviation of the sample carbon emission reductions, and obtaining a carbon emission reduction range under the preset confidence level based on the mean and the standard deviation of the sample carbon emission reductions; Based on the carbon emission reduction interval under the preset confidence level, a carbon emission reduction error value under the preset confidence level is obtained.
7. The method according to any one of claims 1 to 6, characterized in that The method further comprises: For the target carbon emission reduction method, obtain the first hash value of the carbon emission data of the textile fabric in each process, and obtain the second hash value of the material ratio of the textile fabric; The first hash value and the second hash value are stored in a blockchain.
8. The method according to claim 7, characterized in that The method further comprises: In response to the recycled material blending ratio passing the Global Recycling Standard GRS certification, a GRS certification number is generated; A carbon emission reduction report for the textile fabric is generated based on the first hash value, the second hash value, and the GRS certification number.
9. A device for obtaining carbon emission reductions from closed-loop recycling of textile fabrics, characterized in that: The device comprises: A first acquisition module is used to obtain the original weight of the textile fabric; a selection module, configured to obtain candidate carbon emission reduction methods for the textile fabric, and select a target carbon emission reduction method for the textile fabric from the candidate carbon emission reduction methods; a second obtaining module, configured to obtain, based on the original weight, a target carbon emission amount of the textile fabric under the target carbon emission reduction mode, and obtain a baseline carbon emission amount of the textile fabric under the baseline carbon emission reduction mode; The third acquisition module is configured to acquire the carbon emission reduction of the textile fabric according to the target carbon emission and the baseline carbon emission.
10. An electronic device, characterized in that: including processor and memory; The processor reads the executable program code stored in the memory to run a program corresponding to the executable program code, so as to implement the method according to any one of claims 1 to 8.