Method and apparatus for determining scope 2 of product carbon footprint, and device and storage medium

Abstract

Disclosed in the embodiments of the present invention are a method and apparatus for determining scope 2 of a product carbon footprint, and a device and a storage medium. The method comprises: determining production processes included in a production line of a product; determining the number of products produced within a single production cycle of the production line and the power consumption of the production processes within the single production cycle; on the basis of the number of products and the power consumption, determining the average power consumption of a single product in the production line within the single production cycle; and on the basis of the average power consumption of the single product in the production line and a conversion factor, determining scope 2 of a product carbon footprint of the single product. Automated calculation of scope 2 of a product carbon footprint is implemented on the basis of power consumption. For a flow-based manufacturing process, average calculation is performed according to the number of products in the same batch; and for a discrete manufacturing process, average calculation and aggregation are performed according to a unit time and on the basis of the composition ratio of constituent modules. The present invention has the advantages of accurate calculation results and fine calculation granularity.

Description

Method, device, equipment and storage medium for determining scope 2 of a product's carbon footprint Technical Field

[0001] The present invention relates to the field of carbon emission technology, and in particular to a method, device, equipment and storage medium for determining scope 2 of a product's carbon footprint. Background Art

[0002] Carbon footprint refers to the collection of greenhouse gas emissions caused by corporate organizations, activities, products or individuals through transportation, food production and consumption, and various production processes. Product Carbon Footprint (PCF) refers to the greenhouse gas emissions generated along the entire life cycle of a product, including the mining, manufacturing, transportation, distribution, use and final disposal of raw materials. PCF calculations include Scope 1, Scope 2 and Scope 3. Scope 1 is direct emissions from owned and controlled resources; Scope 2 is indirect emissions generated by purchased energy; Scope 3 is all indirect emissions that occur in the value chain that are not included in Scope 2.

[0003] Currently, PCF Scope 2 calculations for manufacturing companies are performed manually, based on manual interrogation and data review. However, manual calculations are computationally intensive and inefficient. In addition to manual calculations, there are also methods using estimation models, but the results of these models are not accurate enough.

[0004] Summary of the Invention

[0005] The embodiments of the present invention provide a method, apparatus, device, and storage medium for determining PCF range 2.

[0006] A method for determining PCF Scope 2 includes:

[0007] Determine the production process included in the product's production line;

[0008] Determining the number of products produced in a single production cycle of the production line and the power consumption of the production process in the single production cycle;

[0009] Determining, based on the number of products and the power consumption, an average power consumption of a single product in the production line during the single production cycle;

[0010] Based on the average power consumption of the single product in the production line and the conversion factor, PCF range 2 of the single product is determined.

[0011] Therefore, the embodiment of the present invention determines the average power consumption of a single product in the production line based on the production process and the power consumption of the production process, and uses the average power consumption to realize the automatic calculation of PCF range two, thereby reducing labor costs and calculation complexity, and improving calculation accuracy and efficiency.

[0012] In one embodiment, it includes:

[0013] Determine the total electricity consumption of public energy during the single production cycle;

[0014] Based on the number of products and the total power consumption of the public energy, the average power consumption of the public energy of a single product in the single production cycle is determined:

[0015] Determining PCF range 2 of the single product based on the average power consumption of the single product in the production line and the conversion factor includes:

[0016] Determine the sum of the average power consumption of the public energy of the single product and the average power consumption of the single product in the production line;

[0017] Based on the summation result and the conversion factor, PCF range 2 of the single product is determined.

[0018] Therefore, in the calculation process of PCF Scope 2, the consumed public energy is also fully taken into account, thereby improving the accuracy of PCF Scope 2.

[0019] In one embodiment, the production line is a flow-type manufacturing process production line, and the production cycle is a production batch;

[0020] Determining the average power consumption of a single product in the production line during the single production cycle based on the number of products and the power consumption of the production process includes:

[0021] Determining the average power consumption of a single intermediate product in each production process based on the number of intermediate products produced in each production process in the single production batch and the total power consumption of the production process in the single production batch;

[0022] The sum of the average power consumption of individual intermediate products in all production processes is determined as the average power consumption of the individual products in the production line.

[0023] Therefore, considering the process characteristics of process-type manufacturing processes, the average power consumption of a single intermediate product in each production process is first determined, and then based on the sum of the average power consumption of a single intermediate product in all production processes, PCF range 2 can be determined quickly and accurately.

[0024] In one embodiment, the production line is a discrete manufacturing process production line including an assembly process, and the production cycle is the production time;

[0025] Determining the average power consumption of a single product in the single production batch in the production line based on the number of products and the power consumption of the production process includes:

[0026] Obtain the types of component modules of the single product and the number of each component module from the Bill of Materials (BOM);

[0027] Determining a mapping relationship between the types of the component modules and the production processes;

[0028] Based on the mapping relationship and the power consumption of the production process, determining the power consumption of processing a number of component modules of each type that matches the component modules of the type in the production line during the production time;

[0029] Determine the sum of the power consumption of all types of component modules that match the number of component modules of the type;

[0030] The summed result and the average power consumption of assembling the single product in the assembly process are determined as the average power consumption of the single product in the production line.

[0031] Therefore, considering the discrete nature of discrete manufacturing processes, the PCF Range 2 can be quickly and accurately determined by comprehensively determining the average power consumption of a single product on the production line based on the type and number of component modules and their mapping to the process steps. Furthermore, the power consumption of the assembly process is also taken into account, further improving the accuracy of the PCF Range 2.

[0032] In one embodiment, determining the power consumption of the production line for processing a number of component modules of each type that meet the requirements of the type during the production time based on the mapping relationship and the power consumption of the production process includes:

[0033] Determining the type of production process for processing the component module based on the mapping relationship;

[0034] Determine an association table for each type of production process, wherein the association table stores, in association based on processing time: the types of component modules processed during the production time, the number of each type of component modules, and the average power consumption of each individual component module;

[0035] Sort all the association tables based on the processing time order of each category, where the association tables of production processes with earlier processing times are given higher priority.

[0036] Based on the sorted association table, the power consumption of the component modules of each type processed in the production line and the number of component modules that meet the type is determined.

[0037] It can be seen that, considering the complexity of the discrete manufacturing process, the power consumption of each component module is determined based on the association table of each production process and the number of each component module contained in each product provided by the BOM.

[0038] In one embodiment, determining the power consumption of processing the number of component modules of each type that meet the requirements of the type in the production line based on the sorted association table includes:

[0039] If the association table of the current order can provide the number of component modules that meet the type of component modules, the power consumption of processing the number of component modules that meet the type of component modules of each type in the production line is determined based on the association table of the current order.

[0040] Therefore, if the association table in the current order can satisfy the requirements for the component modules when assembling a single product, the power consumption of the component modules can be determined based on the association table in the current order.

[0041] In one embodiment, determining the power consumption of processing the number of component modules of each type that meet the requirements of the type in the production line based on the sorted association table includes:

[0042] If the association table of the current order is insufficient to provide the number of component modules that meets the number of component modules of the type, determining the remaining number after deducting the number of component modules of the type within the production time contained in the association table of the current order;

[0043] determining a subsequent association table capable of providing the remaining number of component modules of the type;

[0044] Based on the current sequence association table and the subsequent association table, the power consumption of processing the number of component modules of each type in the production line that meets the type is determined.

[0045] Therefore, if the association table in the current order cannot meet the demand for component modules when assembling a single product, the power consumption of the component modules is determined in combination with the subsequent association tables in the sorting order.

[0046] An apparatus for determining PCF scope 2, comprising:

[0047] A first determining module is used to determine the production processes included in the production line of the product;

[0048] A second determining module is used to determine the number of products produced in a single production cycle of the production line and the power consumption of the production process in the single production cycle;

[0049] a third determining module, configured to determine, based on the number of products and the power consumption, an average power consumption of a single product in the single production cycle in the production line;

[0050] The fourth determining module is configured to determine a second PCF range of the single product based on the average power consumption of the single product in the production line and a conversion factor.

[0051] Therefore, the embodiment of the present invention determines the average power consumption of a single product in the production line based on the production process and the power consumption of the production process, and uses the average power consumption to realize the automatic calculation of PCF range two, thereby reducing labor costs and calculation complexity, and improving calculation accuracy and efficiency.

[0052] In one embodiment, the fourth determination module is used to determine the total common energy consumption in the single production cycle; based on the number of products and the total common energy consumption, determine the average common energy consumption of a single product in the single production cycle; determine the sum of the average common energy consumption of the single product and the average power consumption of the single product in the production line; based on the summation result and the conversion factor, determine the PCF range two of the single product.

[0053] Therefore, in the calculation process of PCF Scope 2, the consumed public energy is also fully taken into account, thereby improving the accuracy of PCF Scope 2.

[0054] In one embodiment, the production line is a flow-type manufacturing process production line, and the production cycle is a production batch;

[0055] The third determination module is used to determine the average power consumption of a single intermediate product in each production process based on the number of intermediate products produced in each production process in the single production batch and the total power consumption of the production process in the single production batch; and the sum of the average power consumption of the single intermediate products of all production processes is determined as the average power consumption of the single product in the production line.

[0056] Therefore, considering the process characteristics of process-type manufacturing processes, the average power consumption of a single intermediate product in each production process is first determined, and then based on the sum of the average power consumption of a single intermediate product in all production processes, PCF range 2 can be determined quickly and accurately.

[0057] In one embodiment, the production line is a discrete manufacturing process production line including an assembly process, and the production cycle is the production time;

[0058] The third determination module is used to obtain the types of component modules of the single product and the number of each component module from the bill of materials; determine the mapping relationship between the types of component modules and the production process; based on the mapping relationship and the power consumption of the production process, determine the power consumption of the production line in processing the number of component modules of each type that meet the type during the production time; determine the sum of the power consumption of the number of component modules of all types that meet the type; and determine the sum and the average power consumption of assembling the single product during the assembly process as the average power consumption of the single product in the production line.

[0059] Therefore, considering the discrete nature of discrete manufacturing processes, the PCF Range 2 can be quickly and accurately determined by comprehensively determining the average power consumption of a single product on the production line based on the type and number of component modules and their mapping to the process steps. Furthermore, the power consumption of the assembly process is also taken into account, further improving the accuracy of the PCF Range 2.

[0060] An electronic device, comprising:

[0061] processor;

[0062] a memory for storing executable instructions of the processor;

[0063] The processor is configured to read the executable instructions from the memory and execute the executable instructions to implement any one of the above methods for determining PCF scope 2 of a product.

[0064] A computer-readable storage medium having computer instructions stored thereon, wherein when the computer instructions are executed by a processor, the method for determining PCF scope 2 of a product as described in any one of the above items is implemented.

[0065] A computer program product comprises a computer program, wherein when the computer program is executed by a processor, the method for determining the second PCF range of a product as described in any one of the above items is implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings, so that those skilled in the art will understand the above and other features and advantages of the present invention more clearly. In the accompanying drawings:

[0067] FIG1 is an exemplary flow chart of a method for determining PCF range two according to an embodiment of the present invention.

[0068] FIG2 is an exemplary schematic diagram of a flow-type manufacturing process production line according to an embodiment of the present invention.

[0069] FIG3 is an exemplary schematic diagram of a discrete manufacturing process production line according to an embodiment of the present invention.

[0070] FIG4 is an exemplary schematic diagram of determining a second PCF range of a discrete manufacturing process production line according to an embodiment of the present invention.

[0071] FIG5 is an exemplary structural diagram of an apparatus for determining PCF range two according to an embodiment of the present invention.

[0072] FIG6 is an exemplary structural diagram of an electronic device according to an embodiment of the present invention.

[0073] The accompanying drawings are numerals as follows: DETAILED DESCRIPTION

[0074] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention is further described in detail with reference to the following examples.

[0075] For the sake of brevity and intuitiveness in description, the solution of the present invention is explained below by describing several representative implementations. A large number of details in the implementations are only used to help understand the solution of the present invention. However, it is obvious that the technical solution of the present invention may not be limited to these details when implemented. In order to avoid unnecessarily obscuring the solution of the present invention, some implementations are not described in detail, but only a framework is given. Hereinafter, "including" means "including but not limited to", and "according to..." means "at least according to..., but not limited to only according to...". Due to the language habits of Chinese, when the number of a component is not specifically specified below, it means that the component can be one or more, or can be understood as at least one.

[0076] The present invention provides a technical solution for calculating PCF Range 2, particularly suitable for use in manufacturing plants. Currently, PCF Range 2 calculations are based on manual interrogation and inspection of data. However, there is a lack of research on calculating PCF Range 2 based on data automatically collected from production lines.

[0077] FIG1 is an exemplary flow chart of a method for determining PCF range 2 according to an embodiment of the present invention. The method shown in FIG1 is particularly suitable for implementation in a manufacturing enterprise. For example, a manufacturing enterprise may include: a manufacturing plant, a manufacturing workshop, or a manufacturing station, etc. As shown in FIG1 , the method includes:

[0078] Step 101: Determine the production processes included in the product production line.

[0079] Step 102: Determine the number of products produced in a single production cycle of the production line and the power consumption of the production process in the single production cycle.

[0080] Here, the production cycle can be a production batch or a production time. For example, the production time can be a predetermined length of time, such as one hour, two hours, etc. An electricity meter can be deployed for each production process to measure the electricity consumption of the production process in the single production cycle.

[0081] Step 103: Based on the number of products and the power consumption, determine the average power consumption of a single product in a single production cycle in the production line.

[0082] Step 104: Determine PCF range 2 for the single product based on the average power consumption of the single product in the production line and the conversion factor.

[0083] Here, the conversion factor represents the conversion relationship between electricity consumption and carbon emissions. The conversion factor can be obtained from a carbon emission factor library. The value of the conversion factor can vary depending on different processing scenarios (e.g., the production line's geographic location, production line operating hours, etc.).

[0084] Therefore, the embodiment of the present invention determines the average power consumption of a single product in the production line based on the production process and the power consumption of the production process, and uses the average power consumption to realize the automatic calculation of PCF range two, thereby reducing labor costs and calculation complexity, and improving calculation accuracy and efficiency.

[0085] In one embodiment, it includes: determining the total public energy consumption in a single production cycle; determining the average public energy consumption of a single product in a single production cycle based on the number of products and the total public energy consumption; based on the average power consumption of a single product in the production line and a conversion factor, step 104 specifically includes: determining the sum of the average public energy consumption of a single product and the average power consumption of a single product in the production line; based on the sum and the conversion factor, determining the product carbon footprint scope two of the single product.

[0086] Therefore, in the calculation process of PCF Scope 2, the consumed public energy is also fully taken into account, thereby improving the accuracy of PCF Scope 2.

[0087] In one embodiment, the production line is a process-type manufacturing process production line, and the production cycle is a production batch; step 103 specifically includes: determining the average power consumption of a single intermediate product in each production process based on the number of intermediate products produced in each production process in a single production batch and the total power consumption of the production process in a single production batch; and summing the average power consumption of the single intermediate products of all production processes to determine the average power consumption of a single product in the production line.

[0088] Therefore, considering the process characteristics of process-type manufacturing processes, the average power consumption of a single intermediate product in each production process is first determined, and then based on the sum of the average power consumption of a single intermediate product in all production processes, PCF range 2 can be determined quickly and accurately.

[0089] In one embodiment, the production line is a discrete manufacturing process production line including an assembly process, and the production cycle is the production time; step 103 specifically includes: obtaining the types of component modules of a single product and the number of each component module from the BOM; determining the mapping relationship between the types of component modules and the production process; based on the mapping relationship and the power consumption of the production process, determining the power consumption of the production line processing the number of component modules of each type that meets the type during the production time; determining the sum of the power consumption of the number of component modules of all types that meet the type; and determining the sum and the average power consumption of assembling a single product during the assembly process as the average power consumption of the single product in the production line.

[0090] Therefore, considering the discrete nature of discrete manufacturing processes, the PCF Range 2 can be quickly and accurately determined by comprehensively determining the average power consumption of a single product on the production line based on the type and number of component modules and their mapping to the process steps. Furthermore, the power consumption of the assembly process is also taken into account, further improving the accuracy of the PCF Range 2.

[0091] Preferably, based on the mapping relationship and the power consumption of the production process, determining the power consumption of the number of component modules of each type that are consistent with the type of component modules processed by the production line during the production time includes: determining the type of production process that processes the component modules based on the mapping relationship; determining an association table for each type of production process, wherein the association table stores the types of component modules processed during the production time, the number of each type of component modules, and the average power consumption of each individual component module based on the processing time sequence; sorting all the association tables based on the processing time sequence of each type, wherein the sorting result of the association table of the production process with the earlier processing time is given priority; and determining the power consumption of the number of component modules of each type that are consistent with the type of component modules processed by the production line based on the sorted association table. It can be seen that, considering the complexity of the discrete manufacturing process, the power consumption of each component module is determined based on the association table of each production process and the number of each component module contained in each product provided by the BOM.

[0092] Preferably, determining the power consumption of processing a number of component modules of each type in the production line that match the number of component modules of that type based on the sorted association table includes: if the association table in the current order can provide component modules that match the number of component modules of that type, determining the power consumption of processing a number of component modules of each type in the production line that match the number of component modules of that type based on the association table in the current order. Therefore, if the association table in the current order can meet the component module requirements for assembling a single product, the power consumption of the component modules can be determined based on the association table in the current order.

[0093] Preferably, determining the power consumption of processing a number of component modules of each type that meet the requirements of the type in the production line based on the sorted association tables includes: if the association tables in the current order are insufficient to provide the number of component modules that meet the requirements of the type, determining the remaining number after deducting the number of component modules of the type within the production time contained in the association tables in the current order; determining a subsequent association table that can provide the remaining number of component modules of the type; and determining the power consumption of processing a number of component modules of each type that meet the requirements of the type in the production line based on the association tables in the current order and the subsequent association tables. Therefore, if the association tables in the current order cannot meet the requirements of the component modules required for assembling a single product, the power consumption of the component modules is determined by combining the association tables in the sorted order with the subsequent association tables.

[0094] Figure 2 is an exemplary schematic diagram of a flow-type manufacturing process production line according to an embodiment of the present invention. In a flow-type manufacturing process, a series of processes based on a time sequence are performed to obtain a final product.

[0095] As shown in Figure 2, the process-based manufacturing production line consists of a first process 21, a second process 22, and a third process 23, arranged in chronological order. Raw material 20 is fed into the first process 21, which processes it and outputs an intermediate product. The intermediate product from the first process 21 is fed into the second process 22, which processes it and outputs it. The intermediate product from the second process 22 is fed into the third process 23, which processes it and outputs a product 24. An electricity meter 31 is installed in the first process 21, an electricity meter 32 is installed in the second process 22, and an electricity meter 33 is installed in the third process 23.

[0096] Process-based manufacturing processes are suitable for producing simple products, often in batches. Each product lacks a unique serial number, making it unsuitable to calculate the carbon value of each individual product. In these cases, the carbon value of each product can be calculated based on the batch. For batch-produced products in process-based manufacturing processes, the energy cost of the production line is calculated as follows: energy consumption per batch divided by the number of products in the batch.

[0097] For example, consider an order for 500 products 24 in a production batch in Figure 2. Assume that the number of intermediate products output by each process matches the number of products. The products must sequentially undergo the first process 21, the second process 22, and the third process 23. Both processes 21 and 22 take a long time to complete. The first process 21 is processed in parallel by two machines (A1 and A2), while the second process 22 is processed in parallel by three machines (B1, B2, and B3).

[0098] During the processing of this production batch in first process 21, machine A1 produced 300 intermediate products, with a power consumption of 3.31 kilowatt-hours (kW / h). Machine A2 produced 200 intermediate products, with a power consumption of 2.6 kW / h. Therefore, the average power consumption per intermediate product in first process 21 is (3.31 + 2.6) / 500 kW / h. The power consumption of machines A1 and A2 can be read from the electricity meter 31 installed in first process 21.

[0099] During the processing of this production batch in second process 22, machine B1 produced 200 intermediate products, with a power consumption of 6.51 kW / h; machine B2 produced 200 intermediate products, with a power consumption of 6.64 kW / h; and machine B3 produced 100 intermediate products, with a power consumption of 3.92 kW / h. Therefore, the average power consumption per intermediate product in second process 21 is (6.51 + 6.64 + 3.92) / 500 kW / h. The power consumption of machines B1, B2, and B3 can be read from the electricity meter 32 installed in second process 22.

[0100] During the processing of this production batch in third process 23, machine C produced 500 intermediate products (i.e., final product 24). The power consumption of machine C was 0.53 kW / h. Therefore, the average power consumption of each intermediate product in third process 23 is 0.53 / 500 kW / h. The power consumption of machine C can be read from the power meter 33 installed in third process 23.

[0101] Therefore, the average power consumption of each product in this batch (a total of 500 products) is: (3.31+2.6) / 500+(6.51+6.64+3.92) / 500+0.53 / 500, in KW / h.

[0102] Then, the total public energy consumption for the production batch can be determined. Based on the number of products and the total public energy consumption, the average public energy consumption for each product in a production batch can be determined. Public energy loss is the total public energy consumption associated with the production batch, such as lighting costs, air compression, air conditioning, etc. Assuming the total public energy consumption is 3.38 (kW / h), the average public energy consumption is: 3.38 / 500 (kW / h).

[0103] Therefore, the sum of the average public energy consumption and the average energy consumption of a single product on the production line is: Sum = 3.38 / 500 + (3.31 + 2.6) / 500 + (6.51 + 6.64 + 3.92) / 500 + 0.53 / 500 (kW / h). Multiplying this sum by the conversion factor gives PCF Range 2 for product 24.

[0104] Discrete manufacturing processes are suitable for manufacturing relatively complex products, each of which is assembled from many modules. During the assembly phase, modules are assembled into a single product according to the BOM. For example, in the product BOM, a single product might be assembled from n modules a, m modules b, and h modules c. Furthermore, each process in a discrete manufacturing process can process a different module.

[0105] Figure 3 is an exemplary schematic diagram of a discrete manufacturing process production line according to an embodiment of the present invention. Figure 4 is an exemplary schematic diagram of determining a second PCF range of a discrete manufacturing process production line according to an embodiment of the present invention.

[0106] In Figure 3, raw material 40 undergoes the first process 51, the second process 52, and the third process 53 to obtain component module a (labeled 61); raw material 41 undergoes the first process 51 and the second process 52 to obtain component module b (labeled 62); and raw material 42 undergoes the third process 53 to obtain component module c (labeled 63). In the assembly process 65, based on the number of components of each component module in the product provided by BOM 64 (for example, a product 66 can be assembled from n component modules a, m component modules b, and h component modules c), component modules a, component modules b, and component modules c are combined into a final single product 66.

[0107] As can be seen, each process in a discrete manufacturing process can process different modules. For example, the first process 51 can process module a (actually an intermediate product of module a) and module b (actually an intermediate product of module b); the second process 52 can process module a (actually an intermediate product of module a) and module b (actually an intermediate product of module b); and the third process 53 can process module a (actually an intermediate product of module a) and module c (actually an intermediate product of module c). Electricity meters 70-73 are placed in each process to measure the power consumption of each process.

[0108] The PCF Scope 2 calculation process for product 66 can include two parallel calculation processes:

[0109] (1) Calculate the power consumption and production volume of each process within a certain production time (production cycle). For example, the production time can be set to 1 hour. Within each hour, for each process, count the number of types of component modules that pass through the process (also count the number of each module) and the specific power consumed in this hour (break down the power consumption of each component module), and calculate the average power consumption of each component module. The association table of the process can be processed based on the statistical results.

[0110] For example, in the association table 80 of the first process 51 in Figure 4 , the associations stored include: time (H), the type of component module processed (M), the power consumption of each component module (P), and the number of component modules (Q). For example, the first column of data in association table 80 (1, a, 0.2, 20) means: In the first hour, component module a was processed, the average power consumption of each component module a was 0.2 kW / h, and the number of component modules a was 20. The second column of data in association table 80 (1, b, 0.25, 30) means: In the first hour, component module b was also processed, the average power consumption of each component module b was 0.25 kW / h, and the number of component modules b was 20. Similarly, the association table for each process and the association table for assembly process 65 can be determined.

[0111] (2): Calculate the energy cost of producing a single product

[0112] First, based on the BOM data, we determine how many modules a single product consists of. As shown in Figure 4 , product 66 includes n modules a (labeled 61 ), m modules b (labeled 62 ), and h modules c (labeled 63 ).

[0113] Then, the power consumption of n component modules a, the power consumption of m component modules b, and the power consumption of h component modules c are calculated.

[0114] For example, let's calculate the total power consumption of n modules a. Module a is searched in the association table for the above process. Following the principle of first produced, first searched, the record for module a is found in association table 80. Specifically, it is (1, a, 0.2, 20). This means that in the first hour, the first process 51 processed module a, the average power consumption of each module a was 0.2 kW / h, and 20 modules a were processed.

[0115] (1) When n is less than or equal to 20, 20-n will be updated in the record of the association table 80, and the power consumption of n component modules a is obtained: 0.2*n.

[0116] (2) When n is greater than 20, for example, n is equal to 25, the number of component modules a produced in the first hour in the association table 80 (i.e., 20) is not enough to consume n. At this time, the number of component modules a produced in the first hour in the association table 80 (i.e., 20) is first consumed, and the first part of the power consumption of n component modules a is determined: 0.2*20. Then, the number of remaining component modules a produced in the first hour (i.e., 5) is searched from the association table of the second process 52. The number of component modules a produced in the first hour of the second process 52 is 10 (greater than 5). Therefore, the search is completed, and the second part of the power consumption of n component modules a is determined: 0.4*5. The total power consumption of n component modules a is the sum of the first part and the second part, that is, 0.2*20+0.4*5.

[0117] (2) When n is greater than 20, for example, n is equal to 35, then the number of component modules a produced in the first hour in the association table 80 (i.e., 20) is insufficient to consume n. First, the number of component modules a produced in the first hour in the association table 80 (i.e., 20) is consumed to determine the first part of the power consumption of n component modules a: 0.2*20. Then, the number of component modules a produced in the first hour (i.e., 15) is searched from the association table of the second process 52. The number of component modules a produced in the first hour in the second process 52 is 10 (less than 15). The number of component modules a produced in the first hour in the association table of the second process 52 is consumed to determine the first part of the power consumption of n component modules a: 0.4*10. Next, the number of component modules a produced in the first hour (i.e., 5) is searched from the association table of the third process 52. The number of component modules a produced in the first hour in the third process 53 is 30 (greater than 5). Therefore, the search is completed, and the third part of the power consumption of n component modules a is determined: 0.7*5. Finally, the total power consumption of the n component modules a is the sum of the first part, the second part, and the third part, which is 0.2*20+0.4*10+0.7*5.

[0118] Similarly, calculate the power consumption of m component modules b and h component modules c. Sum the power consumption of n component modules a, m component modules b, and h component modules c. In the association table for assembly process 65, it is determined that the power consumption for assembling one product 66 during the first hour is 0.8. Therefore, the sum of the power consumption of n component modules a, m component modules b, and h component modules c is added to 0.8, resulting in the average power consumption of a single product 66 on the production line. The total public energy consumption for that production time (e.g., one hour) can then be determined. Based on the number of products produced during that production time and the total public energy consumption, the average public energy consumption for a single product can be determined. Public energy loss is the sum of all public energy consumption associated with that production time, such as lighting costs, air compression, and air conditioning. The sum of the average public energy consumption for a single product and the average power consumption for a single product on the production line, multiplied by the conversion factor, yields PCF Range 2 for product 66.

[0119] Figure 5 is an exemplary structural diagram of an apparatus for determining PCF Range 2 according to an embodiment of the present invention. As shown in Figure 5, apparatus 500 for determining PCF Range 2 includes: a first determination module 501 for determining the production processes included in a product's production line; a second determination module 502 for determining the number of products produced in a single production cycle of the production line and the power consumption of the production processes in that single production cycle; a third determination module 503 for determining, based on the number of products and power consumption, the average power consumption of a single product in the production line during a single production cycle; and a fourth determination module 504 for determining PCF Range 2 for a single product based on the average power consumption of the single product in the production line and a conversion factor.

[0120] In one embodiment, the fourth determination module 504 is used to determine the total common energy consumption in a single production cycle; based on the number of products and the total common energy consumption, determine the average common energy consumption of a single product in a single production cycle: determine the sum of the average common energy consumption of a single product and the average power consumption of a single product in the production line; based on the summation result and the conversion factor, determine the PCF range two of the single product.

[0121] In one embodiment, the production line is a process-type manufacturing process production line, and the production cycle is a production batch; the third determination module 503 is used to determine the average power consumption of a single intermediate product in each production process based on the number of intermediate products produced in each production process in a single production batch and the total power consumption of the production process in a single production batch; the sum of the average power consumption of the single intermediate products of all production processes is determined as the average power consumption of a single product in the production line.

[0122] In one embodiment, the production line is a discrete manufacturing process production line including an assembly process, and the production cycle is the production time; the third determination module 503 is used to obtain the types of component modules of a single product and the number of each component module from the BOM; determine the mapping relationship between the types of component modules and the production process; based on the mapping relationship and the power consumption of the production process, determine the power consumption of the production line processing the number of component modules of each type that meet the type during the production time; determine the sum of the power consumption of the number of component modules of all types that meet the type; and determine the sum and the average power consumption of assembling a single product during the assembly process as the average power consumption of the single product in the production line.

[0123] In one embodiment, the third determination module 503 is used to determine the type of production process for processing component modules based on the mapping relationship; determine the association table of each type of production process, wherein the association table stores the following information based on the processing time sequence: the type of component modules processed during the production time, the number of each component module, and the average power consumption of each individual component module; sort all the association tables based on the processing time sequence of each type, wherein the sorting result of the association table of the production process with the earlier processing time has the higher priority; based on the sorted association table, determine the power consumption of the number of component modules of each type that are processed in the production line and that meet the requirements of the type.

[0124] In one embodiment, the third determination module 503 is used to determine the power consumption of processing the number of component modules of each type that meet the type in the production line based on the association table of the current order if the association table of the current order can provide the number of component modules that meet the type.

[0125] In one embodiment, if the association table of the current sequence is insufficient to provide the number of component modules that conform to the type of component modules, determine the remaining number after deducting the number of component modules of the type contained in the association table of the current sequence; determine a subsequent association table that can provide the remaining number of component modules of the type; and determine the power consumption of processing the number of component modules of each type that conform to the type in the production line based on the association table of the current sequence and the subsequent association table.

[0126] The embodiment of the present invention also proposes an electronic device with a processor-memory architecture. Figure 6 is a structural diagram of an electronic device according to an embodiment of the present invention. As shown in Figure 6, the electronic device 600 includes a processor 601, a memory 602, and a computer program stored on the memory 602 and runnable on the processor 601. When the computer program is executed by the processor 601, it implements any of the above methods for determining the value of the PCF range 2 of the product. Among them, the memory 602 can be specifically implemented as a variety of storage media such as an electrically erasable programmable read-only memory (EEPROM), a flash memory (Flash memory), and a programmable program read-only memory (PROM). The processor 601 can be implemented to include one or more central processing units or one or more field programmable gate arrays, wherein the field programmable gate array integrates one or more central processing unit cores. Specifically, the central processing unit or the central processing unit core can be implemented as a CPU, an MCU or a DSP, and so on.

[0127] It should be noted that not all steps and modules in the above processes and structure diagrams are required, and certain steps or modules can be omitted based on actual needs. The execution order of the steps is not fixed and can be adjusted as needed. The division of the modules is merely for the convenience of describing the functional division adopted. In actual implementation, a module can be implemented by multiple modules, and the functions of multiple modules can be implemented by the same module. These modules can be located in the same device or in different devices.

[0128] The hardware modules in each embodiment can be implemented mechanically or electronically. For example, a hardware module may include a specially designed permanent circuit or logic device (such as a dedicated processor, such as an FPGA or ASIC) for performing a specific operation. The hardware module may also include a programmable logic device or circuit (such as a general-purpose processor or other programmable processor) temporarily configured by software to perform a specific operation. As for whether to implement the hardware module mechanically, or using a dedicated permanent circuit, or using a temporarily configured circuit (such as configured by software), it can be decided based on cost and time considerations.

[0129] The above are only preferred embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for determining the scope 2 carbon footprint of a product, characterized in that: include: Determine the production process included in the production line of (101) product; Determining (102) the number of products produced in a single production cycle of the production line and the power consumption of the production process in the single production cycle; Based on the number of products and the power consumption, determining (103) an average power consumption of a single product in the single production cycle in the production line; Based on the average power consumption of the single product in the production line and the conversion factor, a product carbon footprint scope two of the single product is determined (104).

2. The method according to claim 1, characterized in that include: Determine the total power consumption of the public energy in the single production cycle; Based on the number of products and the total power consumption of the public energy, the average power consumption of the public energy of a single product in the single production cycle is determined: Determining (104) scope 2 of the product carbon footprint of the single product based on the average power consumption of the single product in the production line and the conversion factor includes: Determine the sum of the average power consumption of the common energy of the single product and the average power consumption of the single product in the production line; Based on the summation result and the conversion factor, a product carbon footprint scope 2 of the single product is determined.

3. The method according to claim 1 or 2, characterized in that: The production line is a process-based manufacturing production line, and the production cycle is a production batch; The determining (103) of the average power consumption of a single product in the single production cycle in the production line based on the number of products and the power consumption of the production process includes: Determine the average power consumption of a single intermediate product of each production process based on the number of intermediate products produced by each production process in the single production batch and the total power consumption of the production process in the single production batch; The sum of the average power consumption of individual intermediate products in all production processes is determined as the average power consumption of the individual products in the production line.

4. The method according to any one of the preceding claims, characterized in that The production line is a discrete manufacturing process production line including an assembly process, and the production cycle is the production time; The process of determining (103) the number of products in a single production cycle based on the number of products and the power consumption of the production process The average power consumption of individual products in the production line includes: Obtain the types of component modules of the single product and the number of each component module from the bill of materials; Determining a mapping relationship between the types of the component modules and the production processes; Based on the mapping relationship and the power consumption of the production process, determining the power consumption of the production line for processing the number of component modules of each type that conforms to the type during the production time; Determine the sum of power consumption of all types of component modules that match the number of component modules of the type; The summed result and the average power consumption in assembling the single product in the assembly process are determined as the average power consumption of the single product in the production line.

5. The method according to any one of the preceding claims, characterized in that The determining, based on the mapping relationship and the power consumption of the production process, the power consumption of the number of component modules of each type that are consistent with the type processed by the production line during the production time comprises: Based on the mapping relationship, determining the type of production process for processing the component module; Determine an association table of each type of production process, wherein the association table stores in association based on the processing time sequence: the type of component modules processed during the production time, the number of each type of component modules, and the average power consumption of each single component module; Based on the processing time sequence of each category, all the association tables are sorted, and the sorting result of the association table of the production process with the earlier processing time is given priority; Based on the sorted association table, the power consumption of the number of component modules of each type that are processed in the production line and that meet the requirements of the type is determined.

6. The method according to any one of the preceding claims, characterized in that The determining, based on the sorted association table, the power consumption of the number of component modules of each type that are processed in the production line and that meet the requirements of the type includes: If the association table of the current order can provide the number of component modules that match the type of component modules, based on the association table of the current order, the power consumption of processing the number of component modules that match the type of component modules of each type in the production line is determined.

7. The method according to any one of the preceding claims, characterized in that The determining, based on the sorted association table, the power consumption of the number of component modules of each type that are processed in the production line and that meet the requirements of the type includes: If the current order of the association list is not sufficient to provide the number of components that meet the type of component module, confirm Determine the remaining number after deducting the number of component modules of the type within the production time contained in the association table of the current order; Determining a subsequent association table capable of providing the remaining number of component modules of the type; Based on the association table of the current sequence and the subsequent association table, the power consumption of processing the number of component modules of each type that conforms to the type in the production line is determined.

8. A device for determining scope 2 of a product's carbon footprint, characterized in that: include: A first determination module (501) is used to determine the production process included in the production line of the product; A second determination module (502) is used to determine the number of products produced in a single production cycle of the production line and the power consumption of the production process in the single production cycle; A third determination module (503) is used to determine the average power consumption of a single product in the single production cycle in the production line based on the number of products and the power consumption; The fourth determination module (504) is used to determine the product carbon footprint scope 2 of the single product based on the average power consumption of the single product in the production line and the conversion factor.

9. The device according to claim 8, characterized in that The fourth determination module (504) is used to determine the total power consumption of the common energy in the single production cycle; based on the number of products and the total power consumption of the common energy, determine the average power consumption of the common energy of a single product in the single production cycle: Determine the sum of the average power consumption of the common energy of the single product and the average power consumption of the single product in the production line; and determine product carbon footprint scope 2 of the single product based on the sum and the conversion factor.

10. The device according to claim 8 or 9, characterized in that The production line is a process-based manufacturing production line, and the production cycle is a production batch; The third determination module (503) is used to determine the average power consumption of a single intermediate product of each production process based on the number of intermediate products produced by each production process in the single production batch and the total power consumption of the production process in the single production batch; The sum of the average power consumption of individual intermediate products in all production processes is determined as the average power consumption of the individual products in the production line.

11. The device according to any one of the preceding claims 9, characterized in that The production line is a discrete manufacturing process production line including an assembly process, and the production cycle is the production time; The third determination module (503) is used to obtain the types of component modules of the single product and the number of each component module from the bill of materials; Determine the mapping relationship between the types of the component modules and the production process; Based on the mapping relationship and the power consumption of the production process, determine the power consumption of the production line for processing the number of component modules of each type that conforms to the type during the production time; Determine the sum of the power consumption of all types of component modules that meet the number of component modules of this type; determine the sum and the average power consumption of assembling the single product in the assembly process as the average power consumption of the single product in the production line.

12. An electronic device, characterized in that: include: Processor (601); A memory (602), configured to store executable instructions of the processor (601); The processor (601) is configured to read the executable instructions from the memory (602) and execute the executable instructions to implement the method for determining scope 2 of a product carbon footprint according to any one of claims 1 to 7.

13. A computer-readable storage medium having computer instructions stored thereon, characterized in that: When the computer instructions are executed by a processor, the method for determining the scope 2 carbon footprint of a product according to any one of claims 1 to 7 is implemented.

14. A computer program product, characterized in that The method comprises a computer program, which, when executed by a processor, implements the method for determining the scope 2 carbon footprint of a product according to any one of claims 1 to 7.

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