Method and apparatus for collecting product carbon footprint inventory data for electrical equipment

Abstract

The present application relates to the technical field of carbon footprint database construction, and specifically provides an electric equipment product carbon footprint list data collection method and device, comprising: collecting process level original production data list of electric equipment products; verifying the process level original production data list, and taking the process level original production data list that passes the verification as carbon footprint list data of electric equipment products. The technical scheme provided by the present application realizes systematic and standardized processing of electric equipment product carbon footprint list data from collection to verification, improves the comparability, traceability and reliability of the list data, and provides high-quality data support for electric equipment product life cycle modeling and carbon footprint evaluation.

Description

Technical Field

[0001] This invention relates to the field of carbon footprint database construction technology, specifically to a method and apparatus for collecting carbon footprint inventory data of electrical equipment products. Background Technology Currently, in the construction of product carbon footprint management systems, tracking the carbon emission footprint of electrical equipment products (such as transformers, reactors, and current transformers) plays a crucial role throughout their lifecycle. Existing research and databases in the electrical equipment industry suffer from insufficient data localization and data lag, failing to reflect actual production conditions. Therefore, there is an urgent need to construct a standardized, localized carbon footprint background database for electrical equipment products.

[0002] Currently, there is no established method for collecting and processing product carbon footprint data that meets the disclosure requirements of the ILCD (International Reference Lifecycle Supported Data Format) standard. Furthermore, in practical applications, due to the characteristics of electrical equipment manufacturing—such as multiple product lines, overlapping processes, and complex energy and material flow paths—the collected raw inventory data often suffers from unclear boundaries and inaccurate energy consumption allocation. The lack of a unified allocation logic and quality verification mechanism leads to insufficient data comparability and scientific validity. Therefore, there is an urgent need to propose a method for collecting and optimizing the quality of carbon footprint inventory data for the electrical equipment industry, achieving standardized collection, scientific allocation, and systematic verification of raw carbon accounting data. Summary of the Invention

[0003] To overcome the above-mentioned shortcomings, this invention proposes a method and apparatus for collecting carbon footprint inventory data of electrical equipment products.

[0004] Firstly, a method for collecting carbon footprint inventory data for electrical equipment products is provided, the method comprising: Collect a list of original production data at the process level for electrical equipment products; The original production data list at the process level is verified, and the verified original production data list at the process level is used as the carbon footprint list data for electrical equipment products.

[0005] Preferably, the production process-level data list includes at least the following data fields: material name, material category, unit of measurement, corresponding product information, product output, product quality, product economic value, input allocated to the product, production time, and data source description.

[0006] Furthermore, the product input quantities are as follows:

[0007] In the above formula, To allocate the input amount to electrical equipment product i, This refers to the total input of the production workshop or production line. The total mass of electrical equipment product i within the statistical period.

[0008] Furthermore, the product input quantities are as follows: ,

[0009] In the above formula, To allocate the input amount to electrical equipment product i, This refers to the total input of the production workshop or production line. The total output of electrical equipment product i within the statistical period. The total production time for electrical equipment product i. Let n be the hourly output of electrical equipment product i, and n be the total quantity of electrical equipment products.

[0010] Furthermore, the product input quantities are as follows:

[0011] In the above formula, To allocate the input amount to electrical equipment product i, This refers to the total input of the production workshop or production line. The total output of electrical equipment product i within the statistical period. Let be the average unit price of electrical equipment product i.

[0012] Preferably, the verification of the original production data list at the process level includes: When the quality balance deviation rate, water balance deviation rate, and carbon balance deviation rate corresponding to the original production data list at the process level are all within the corresponding preset reasonable range, the original production data list at the process level passes the verification.

[0013] Furthermore, the mass balance deviation rate is as follows:

[0014] In the above formula, For quality balance deviation rate, Input the total mass into the system. This determines the total output mass of the system.

[0015] Furthermore, the water balance deviation rate is as follows:

[0016] In the above formula, This refers to the water balance deviation rate. This represents the total water intake during the production process. The output quantity of the production process is as follows:

[0017] In the above formula, To output the product's moisture content, Wastewater discharge volume This is the amount of evaporation loss. This represents the amount of water used for recycling.

[0018] Furthermore, the carbon balance deviation rate is as follows:

[0019] In the above formula, Carbon balance deviation rate, The total amount of carbon input from raw materials and energy sources. The total carbon output from production, wherein the total carbon output from production is as follows:

[0020] In the above formula, The carbon content in the product. The carbon content in by-products or waste. This refers to the amount of carbon in the emissions.

[0021] Secondly, a device for collecting carbon footprint inventory data for electrical equipment products is provided, the device comprising: The data acquisition module is used to collect the process-level original production data list for electrical equipment products. The verification module is used to verify the original production data list at the process level, and to use the verified original production data list at the process level as the carbon footprint list data of electrical equipment products.

[0022] The above-described technical solutions of the present invention have at least one or more of the following beneficial effects: This invention provides a method and apparatus for collecting carbon footprint inventory data for electrical equipment products, comprising: collecting a list of original production data at the process level for electrical equipment products; verifying the original production data list at the process level; and using the verified original production data list at the process level as the carbon footprint inventory data for electrical equipment products. The technical solution provided by this invention achieves systematic and standardized processing of carbon footprint inventory data for electrical equipment products from collection to verification, improving the comparability, traceability, and reliability of the inventory data, and providing high-quality data support for lifecycle modeling and carbon footprint assessment of electrical equipment products. Attached Figure Description

[0023] Figure 1This is a schematic diagram of the main steps of the carbon footprint inventory data collection method for electrical equipment products according to an embodiment of the present invention. Detailed Implementation

[0024] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0025] 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 embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0026] Example 1 See appendix Figure 1 , Figure 1 This is a schematic flowchart illustrating the main steps of a method for collecting carbon footprint inventory data for electrical equipment products according to an embodiment of the present invention. Figure 1 As shown, the method for collecting carbon footprint inventory data of electrical equipment products in this embodiment of the invention mainly includes the following steps: Step S101: Collect the process-level original production data list for electrical equipment products; Step S102: Verify the original production data list at the process level, and use the verified original production data list at the process level as the carbon footprint list data for electrical equipment products.

[0027] In this embodiment, the production process-level data list includes at least the following data fields: material name, material category, unit of measurement, corresponding product information, product output, product quality, product economic value, input allocated to the product, production time, and a description of the data source. Specifically: (1) The names of materials or energy are used to specify the names of raw materials, auxiliary materials, energy media or emissions that are specifically input or output in the process unit. All kinds of materials, energy and emissions involved in the production process should be fully included in the statistical scope as the basic data for the subsequent construction of the carbon footprint list; (2) The material classification is used to classify the collected data by attributes to distinguish different types of inputs and outputs. The classification includes at least products, by-products, raw materials and fuels, auxiliary materials, energy and energy media, services, waste (recyclable or non-recyclable) and air, water and soil emissions, to support the classification processing in the subsequent data allocation and quality verification process. (3) The consumption and measurement units are recorded using unified international standardized measurement units to ensure the consistency of data caliber under different processes, different products and different statistical periods, and to provide a comparable numerical basis for subsequent allocation calculations. (4) The corresponding product information, product output, product quality, product economic value and production time are used to characterize the use of materials and energy resources by different products in the same process or production line. The product output, quality and production time are used as input parameters based on physical relationship or production difficulty allocation method, and the product economic value is used as input parameter based on economic value allocation method for data quality optimization in step S2. (5) The data source description is used to record the acquisition method and source type of production data at each process level, so as to support subsequent data traceability, reliability judgment and quality verification.

[0028] In one implementation, when different electrical equipment products manufactured in parallel have high similarity in structural composition, material composition, and processing procedures, a physical relationship-based allocation method is preferentially adopted to break down the comprehensive input data. This method allocates the comprehensive input based on the production quality of each product within the statistical period, as follows:

[0029] In the above formula, To allocate the input amount to electrical equipment product i, This refers to the total input of the production workshop or production line. The total mass of electrical equipment product i within the statistical period.

[0030] This allocation method converts comprehensive input data at the workshop or production line level into product-level carbon footprint inventory data, which can then be used as input data for subsequent data balancing verification. This method offers convenient data acquisition and simple calculations, making it suitable for electrical equipment products with similar structures and processes. However, when different products exhibit significant differences in manufacturing complexity and material composition, it may underestimate the actual resource consumption of complex products.

[0031] In one implementation, when different electrical equipment products exhibit significant differences in manufacturing process complexity, processing cycle time, or production rhythm, a production difficulty-based allocation method is used to break down the overall input data. This method introduces a production difficulty coefficient to quantify the product's occupancy of shared production resources as an allocation weight. The product input amounts are as follows: ,

[0032] In the above formula, To allocate the input amount to electrical equipment product i, This refers to the total input of the production workshop or production line. The total output (units) of electrical equipment product i during the statistical period. The total production time for electrical equipment product i. Let n be the hourly output of electrical equipment product i, and n be the total quantity of electrical equipment products.

[0033] The above allocation method yields product-level carbon footprint inventory data reflecting the differences in production resource consumption among different products, which is then used as input data for subsequent data balancing verification. This method follows the principle of "whoever uses it, bears the cost," ensuring that products with slower production rates and higher process complexity have a higher share of input in the carbon footprint inventory.

[0034] In one implementation, when different electrical equipment products have similar structural quality but significant differences in market positioning and economic value, an allocation method based on economic value is used to break down the comprehensive input data. This method uses the product's economic contribution within the statistical period as the allocation weight, and the product input amounts are as follows:

[0035] In the above formula, To allocate the input amount to electrical equipment product i, This refers to the total input of the production workshop or production line. The total output (units) of electrical equipment product i during the statistical period. Let be the average unit price of electrical equipment product i.

[0036] In this embodiment, by performing quality balance verification and flow attribute balance relationship verification on the allocated product-level carbon footprint inventory data, the quantitative relationship between inputs and outputs in the inventory data is verified to ensure that the inventory data meets the preset data quality requirements. The verification of the process-level original production data inventory includes: When the quality balance deviation rate, water balance deviation rate, and carbon balance deviation rate corresponding to the original production data list at the process level are all within the corresponding preset reasonable range, the original production data list at the process level passes the verification.

[0037] By using an economic value-based allocation method, product-level carbon footprint inventory data can be generated while simultaneously reflecting the relationship between resource consumption and economic output for different products, making the allocation results more consistent with actual production and market characteristics. The obtained product-level inventory data serves as input data for subsequent data balance verification.

[0038] In one implementation, mass balance verification is used to verify whether the mass conservation relationship is satisfied between the material inputs and outputs in the product-level carbon footprint inventory data within a preset system boundary and statistical period. Specifically, the total mass of material inputs such as raw materials and auxiliary materials in the production process is compared with the total mass of outputs such as products, by-products, waste, and losses, and the mass balance deviation rate is calculated. The mass balance deviation rate is as follows:

[0039] In the above formula, For quality balance deviation rate, Input the total mass into the system. This determines the total output mass of the system.

[0040] When the quality balance deviation rate is less than or equal to the preset threshold (preferably 5%), the list data of the corresponding process unit is determined to have passed the quality balance verification and is used as qualified data to enter the subsequent flow attribute balance verification step. When the quality balance deviation rate is greater than the preset threshold, it is determined that the list data of the corresponding process unit has not passed the quality balance verification, and the data correction process is triggered to supplement, correct or backtrack the input or output items in the list data until the preset quality requirements are met.

[0041] In one implementation, based on the quality balance verification, a flow attribute balance relationship verification is further performed on the product-level carbon footprint inventory data to verify the rationality of the distribution of materials with specific attributes during the production process. The flow attribute balance relationship verification includes at least a water balance verification and a carbon balance verification. The water balance deviation rate is as follows:

[0042] In the above formula, This refers to the water balance deviation rate. This represents the total water intake during the production process. The output quantity of the production process is as follows:

[0043] In the above formula, To output the product's moisture content, Wastewater discharge volume Evaporation loss This represents the amount of water used for recycling.

[0044] When the water balance deviation rate meets the preset threshold condition, the water attribute data is deemed to have passed the verification; when the preset condition is not met, the missing water attribute output items are supplemented or corrected according to the characteristics of the process flow.

[0045] In one implementation, the carbon input in raw materials and energy during the production process is used as a benchmark to track the fate of carbon in products, by-products, waste, and emissions, establishing a carbon balance relationship. The carbon balance deviation rate is as follows:

[0046] In the above formula, Carbon balance deviation rate, The total amount of carbon input from raw materials and energy sources. The total carbon output from production, wherein the total carbon output from production is as follows:

[0047] In the above formula, The carbon content in the product. The carbon content in by-products or waste. This refers to the amount of carbon in the emissions.

[0048] When the carbon balance deviation rate meets the preset threshold, the corresponding carbon attribute data is determined to be qualified data; when the preset conditions are not met, the relevant emission data or material attribute data are corrected and the carbon balance verification is re-executed.

[0049] After completing the data balance verification, the verified product-level carbon footprint inventory data will be output as the final carbon footprint inventory data for subsequent carbon footprint calculation and carbon footprint database construction.

[0050] In some implementations, taking reactor products as an example, the process production data can be filled in according to Table 1.

[0051] Table 1

[0052] In one possible implementation, consumption data is allocated according to product quality: Factory A produces both Type I reactors (30kg) and Type II reactors (50kg) in the same workshop. The two reactors have the same material structure and process, but their volume and mass are different. The total power consumption W of the workshop is allocated using a mass-based allocation method.

[0053] Production information is shown in Table 2 below: Table 2

[0054] Power consumption for Type I reactor production: 0.551W; Power consumption for Type II reactor production: 0.449W; In one possible implementation, consumption data is allocated according to production man-hours: Factory B produces Type I, Type II, and Type III reactors in the same workshop during the same time period. The complexity of the processing and the production cycle are different. The total power consumption W of the workshop is calculated using a method based on the production difficulty.

[0055] Production information is shown in Table 3 below: Table 3

[0056] The total production time for Type I, Type II, and Type III reactors is calculated to be 20h, 24h, and 25h, respectively. The production difficulty coefficients for Type I, Type II, and Type III reactors are calculated to be 0.29, 0.348, and 0.362, respectively. The input quantities allocated to Type I reactors, Type II reactors, and Type III reactors are 0.29W, 0.348W, and 0.362W, respectively. Although Type III products have the lowest output, their lowest hourly capacity results in the longest production time. The allocation follows the principle of "whoever uses more resources, bears more emissions," thus achieving energy consumption sharing.

[0057] (3) In one possible implementation, consumption data is allocated according to economic value: Factory C produces Type I and Type II reactors in the same workshop during the same time period. The two products have similar volume and weight, but target different markets and have different prices. The total power consumption W of the workshop is calculated using a method based on production difficulty.

[0058] Production information is shown in Table 4 below: Table 4

[0059] The input quantities allocated to Type I reactors and Type II reactors are 0.636W and 0.364W, respectively; In one implementation, the process list data is based on the input-output quality balance verification.

[0060] The production data collection list for the assembly process of a certain type I reactor product is shown in Table 5 below: Table 5

[0061] The calculated quality balance deviation rate is 0.19%, which is less than 5%. Therefore, the data list is complete and the quality balance result is qualified. This embodiment can be extended to reactor winding process, impregnation and curing process, final inspection and packaging process and other electrical equipment manufacturing processes.

[0062] Example 2 Based on the same inventive concept, the present invention also provides a carbon footprint inventory data collection device for electrical equipment products, the device comprising: The data acquisition module is used to collect the process-level original production data list for electrical equipment products. The verification module is used to verify the original production data list at the process level, and to use the verified original production data list at the process level as the carbon footprint list data of electrical equipment products.

[0063] Preferably, the production process-level data list includes at least the following data fields: material name, material category, unit of measurement, corresponding product information, product output, product quality, product economic value, input allocated to the product, production time, and data source description.

[0064] Furthermore, the product input quantities are as follows:

[0065] In the above formula, To allocate the input amount to electrical equipment product i, This refers to the total input of the production workshop or production line. The total mass of electrical equipment product i within the statistical period.

[0066] Furthermore, the product input quantities are as follows: ,

[0067] In the above formula, To allocate the input amount to electrical equipment product i, This refers to the total input of the production workshop or production line. The total output (units) of electrical equipment product i during the statistical period. The total production time for electrical equipment product i. Let n be the hourly output of electrical equipment product i, and n be the total quantity of electrical equipment products.

[0068] Furthermore, the product input quantities are as follows:

[0069] In the above formula, To allocate the input amount to electrical equipment product i, This refers to the total input of the production workshop or production line. The total output (units) of electrical equipment product i during the statistical period. Let be the average unit price of electrical equipment product i.

[0070] Preferably, the verification of the original production data list at the process level includes: When the quality balance deviation rate, water balance deviation rate, and carbon balance deviation rate corresponding to the original production data list at the process level are all within the corresponding preset reasonable range, the original production data list at the process level passes the verification.

[0071] Furthermore, the mass balance deviation rate is as follows:

[0072] In the above formula, For quality balance deviation rate, Input the total mass into the system. This determines the total output mass of the system.

[0073] Furthermore, the water balance deviation rate is as follows:

[0074] In the above formula, This refers to the water balance deviation rate. This represents the total water intake during the production process. The output quantity of the production process is as follows:

[0075] In the above formula, To output the product's moisture content, Wastewater discharge volume Evaporation loss This represents the amount of water used for recycling.

[0076] Furthermore, the carbon balance deviation rate is as follows:

[0077] In the above formula, Carbon balance deviation rate, The total amount of carbon input from raw materials and energy sources. The total carbon output from production, wherein the total carbon output from production is as follows:

[0078] In the above formula, The carbon content in the product. The carbon content in by-products or waste. This refers to the amount of carbon in the emissions.

[0079] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0080] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0081] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0082] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0083] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for collecting carbon footprint inventory data for electrical equipment products, characterized in that, The method includes: Collect a list of original production data at the process level for electrical equipment products; The original production data list at the process level is verified, and the verified original production data list at the process level is used as the carbon footprint list data for electrical equipment products.

2. The method as described in claim 1, characterized in that, The production process-level data list shall include at least the following data fields: material name, material category, unit of measurement, corresponding product information, product output, product quality, product economic value, input allocated to the product, production time, and data source description.

3. The method as described in claim 2, characterized in that, The product input quantities are as follows: In the above formula, To allocate the input amount to electrical equipment product i, This refers to the total input of the production workshop or production line. The total mass of electrical equipment product i within the statistical period.

4. The method as described in claim 2, characterized in that, The product input quantities are as follows: , In the above formula, To allocate the input amount to electrical equipment product i, This refers to the total input of the production workshop or production line. The total output of electrical equipment product i within the statistical period. The total production time for electrical equipment product i. Let n be the hourly output of electrical equipment product i, and n be the total quantity of electrical equipment products.

5. The method as described in claim 2, characterized in that, The product input quantities are as follows: In the above formula, To allocate the input amount to electrical equipment product i, This refers to the total input of the production workshop or production line. The total output of electrical equipment product i within the statistical period. Let be the average unit price of electrical equipment product i.

6. The method as described in claim 1, characterized in that, The verification of the original production data list at the process level includes: When the quality balance deviation rate, water balance deviation rate, and carbon balance deviation rate corresponding to the original production data list at the process level are all within the corresponding preset reasonable range, the original production data list at the process level passes the verification.

7. The method as described in claim 6, characterized in that, The mass balance deviation rate is as follows: In the above formula, For quality balance deviation rate, Input the total mass into the system. This determines the total output mass of the system.

8. The method as described in claim 6, characterized in that, The water balance deviation rate is as follows: In the above formula, This refers to the water balance deviation rate. This represents the total water intake during the production process. The output quantity of the production process is as follows: In the above formula, To output the product's moisture content, Wastewater discharge volume This is the amount of evaporation loss. This represents the amount of water used for recycling.

9. The method as described in claim 6, characterized in that, The carbon balance deviation rate is as follows: In the above formula, Carbon balance deviation rate, The total amount of carbon input from raw materials and energy sources. The total carbon output from production, wherein the total carbon output from production is as follows: In the above formula, The carbon content in the product. The carbon content in by-products or waste. This refers to the amount of carbon in the emissions.

10. An apparatus for collecting carbon footprint inventory data of electrical equipment products based on any one of claims 1-9, characterized in that, The device includes: The data acquisition module is used to collect the process-level original production data list for electrical equipment products. The verification module is used to verify the original production data list at the process level, and to use the verified original production data list at the process level as the carbon footprint list data of electrical equipment products.

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