A method for generating carbon footprint information of electrical equipment

Abstract

The present invention relates to the field of carbon footprint information generation, and discloses a method for generating carbon footprint information of electrical equipment, including: obtaining multiple historical material procurement data of each electrical equipment corresponding to a target power grid; determining a key electrical equipment group according to the multiple historical material procurement data; obtaining an assembly parts list corresponding to each key electrical equipment; obtaining a pre-configured electrical equipment parts carbon footprint database and a general parts carbon footprint database; matching in the electrical equipment parts carbon footprint database and the general parts carbon footprint database according to part identification to generate corresponding carbon footprint data of the assembly parts; writing the carbon footprint data and carbon footprint level of each key electrical equipment into an intelligent electronic tag corresponding to each key electrical equipment, wherein the intelligent electronic tag is configured with a light emitting device, the light emitting device is configured with multiple light modes, and each light mode corresponds to a carbon footprint level. Thus, the generation of carbon footprint information of electrical equipment is realized.

Description

Technical Field

[0001] The present invention relates to the field of carbon footprint information generation, and in particular to a method for generating carbon footprint information of electrical equipment. Background Art

[0002] As global awareness of environmental protection increases, reducing carbon emissions has become an important task for all industries. As an important part of the power system, electrical equipment has a significant impact on the environment due to carbon emissions generated during its production, transportation, use and waste disposal throughout its life cycle. Therefore, accurately calculating the carbon footprint of electrical equipment is of great significance for guiding the green development of the power industry.

[0003] The following technical problems often occur in the process of generating carbon footprint information of existing electrical equipment:

[0004] First, the traditional energy carbon emission factor calculation method requires accurate energy consumption data measurement in production, transportation and other links. The accounting process is cumbersome, complex and inefficient, and it is difficult to meet the ever-changing actual production needs; although traditional carbon footprint data display methods such as tables and charts can provide detailed data information, the display method is not intuitive, making it difficult for users to quickly understand the carbon footprint data;

[0005] Second, as the types of electrical equipment increase, the amount of related data is also growing rapidly. Comprehensive analysis and processing of a large amount of electrical equipment data will lead to low processing efficiency and failure to respond to market changes in a timely manner. The current carbon emission reduction measures for electrical equipment cover a wide range, lack focus and are not targeted, resulting in scattered resources, which leads to reduced emission reduction efficiency and increased costs.

[0006] Third, due to the lack of effective logistics planning in the logistics and transportation of electrical equipment, carbon emissions remain high, making the proportion of carbon emissions in the transportation stage significantly higher in the overall carbon footprint information of electrical equipment. Summary of the invention

[0007] The summary of the invention is used to introduce concepts in a brief form, which will be described in detail in the detailed implementation section below. The summary of the invention is not intended to identify the key features or essential features of the technical solution claimed for protection, nor is it intended to limit the scope of the technical solution claimed for protection.

[0008] The present invention proposes a method for generating carbon footprint information of electrical equipment to solve one or more of the technical problems mentioned in the above background technology part.

[0009] The present invention provides a method for generating carbon footprint information of electrical equipment, comprising: obtaining multiple historical material procurement data of each electrical equipment among multiple electrical equipment corresponding to a target power grid within a historical time period, the historical material procurement data including procurement name, procurement quantity and procurement amount; determining a key electrical equipment group according to the multiple historical material procurement data of each electrical equipment; obtaining an assembly parts list corresponding to each key electrical equipment in the key electrical equipment group, the assembly parts list including multiple assembly parts constituting the key electrical equipment, part identification and part quantity of each assembly part, part attribute information of each assembly part and an assembly process flow chart; obtaining a pre-configured electrical equipment part carbon footprint database and a general part carbon footprint database; wherein the electrical equipment part carbon footprint database includes multiple electrical part identifications, part attribute information corresponding to each electrical part identification, and carbon footprint data corresponding to each electrical part identification in the production, transportation and storage links; the general part carbon footprint database includes multiple general part identifications, part attribute information corresponding to each general part identification, and part attribute information corresponding to each general part identification in the production, transportation and storage links. Carbon footprint data; for each assembly part in the assembly parts list, match it in the electrical equipment parts carbon footprint database according to the part identification. If there is a matching electrical part identification in the electrical equipment parts carbon footprint database, the matching electrical part identification is determined as the matching electrical part identification, and the carbon footprint data corresponding to the matching electrical part identification in the production, transportation and storage links is determined. The carbon footprint data of the corresponding assembly part in the production, transportation and storage links; if there is no matching electrical part identification in the electrical equipment parts carbon footprint database, match it in the general parts carbon footprint database according to the part attribute information of the assembly part, and determine the part attribute information with the highest matching degree in the general parts carbon footprint database as the matching part attribute information, and generate the corresponding assembly part carbon footprint data in the production, transportation and storage links according to the carbon footprint data and matching degree corresponding to the matching part attribute information; based on the multiple assembly parts in the assembly parts list, the number of parts of each assembly part, and the carbon footprint data of each assembly part in the production, transportation and storage links, generate the first carbon footprint data of each key electrical equipment in the parts preparation link; For each key electrical equipment, the second carbon footprint data corresponding to the parts assembly link of each key electrical equipment is generated according to the assembly process flow chart included in the assembly parts list corresponding to the key electrical equipment; and the carbon footprint data and carbon footprint level of each key electrical equipment in the production link are generated according to the first carbon footprint data and the second carbon footprint data, and the production link includes the parts preparation link and the parts assembly link; the carbon footprint data and carbon footprint level of each key electrical equipment in the production link are written into the smart electronic tag corresponding to each key electrical equipment, and the smart electronic tag is equipped with a light-emitting device, and the light-emitting device is equipped with multiple lighting modes, and each lighting mode corresponds to a carbon footprint level.

[0010] Optionally, key electrical equipment groups are determined by the following steps:

[0011] Calculate the purchase quantity of each of the multiple historical material purchase data corresponding to each of the multiple electrical equipment to obtain a first total purchase quantity of each electrical equipment; sum the first total purchase quantity of each electrical equipment to obtain a second total purchase quantity corresponding to the multiple electrical equipment; calculate the quotient of the first total purchase quantity and the second total purchase quantity of each electrical equipment to obtain a purchase quantity proportion result of each electrical equipment; score each of the multiple electrical equipment according to the purchase quantity proportion result of each electrical equipment to obtain a purchase quantity proportion score of each electrical equipment;

[0012] Calculate the purchase amount of each historical material purchase data of each electrical equipment to obtain the first total purchase amount of each electrical equipment; sum the first total purchase amount of each electrical equipment to obtain the second total purchase amount corresponding to multiple electrical equipment; calculate the quotient of the first total purchase amount and the second total purchase amount of each electrical equipment to obtain the purchase amount ratio of each electrical equipment; score each electrical equipment in the multiple electrical equipment according to the purchase amount ratio of each electrical equipment to obtain the purchase amount ratio score of each electrical equipment;

[0013] Obtain the equipment name of each core equipment in the core equipment group corresponding to the key application fields corresponding to the multiple electrical equipment, match the purchase name of each electrical equipment with the equipment name of each core equipment in the core equipment group, determine the importance level of the electrical equipment that successfully matches as level one, and determine the importance level of the electrical equipment that fails to match as level two; score each electrical equipment according to its importance level to obtain an importance score of each electrical equipment;

[0014] Obtain the market share, number of alternative equipment, and price of alternative equipment for each electrical equipment, and determine the supply chain impact score of each electrical equipment based on the market share, purchase amount, number of alternative equipment, and price of alternative equipment;

[0015] Assign weights to the purchase quantity proportion score, purchase amount proportion score, importance score and supply chain impact score of the electrical equipment respectively, and perform weighted summation of the purchase quantity proportion score, purchase amount proportion score, importance score and supply chain impact score of each electrical equipment through the weights to obtain the comprehensive score of each electrical equipment;

[0016] The electrical equipment with a comprehensive score greater than a preset score threshold among the multiple electrical equipment is determined as key electrical equipment to obtain a key electrical equipment group.

[0017] Optionally, the second carbon footprint data corresponding to the parts assembly link of each key electrical equipment is determined by the following steps:

[0018] Analyze and identify the assembly process flow chart of each key electrical equipment, and determine the carbon footprint sub-data of each assembly part in the assembly parts group corresponding to each assembly step in multiple assembly steps of each key electrical equipment in the parts assembly link;

[0019] The carbon footprint sub-data of each assembly part corresponding to each assembly step corresponding to each key electrical equipment in the parts assembly link are added together to obtain the second carbon footprint data corresponding to each key electrical equipment in the parts assembly link.

[0020] Optionally, a method for generating carbon footprint information of electrical equipment further includes:

[0021] The first carbon footprint data of each key electrical equipment in the part preparation link and the carbon footprint data of the production link are calculated to obtain the first carbon emission percentage of each key electrical equipment in the part preparation link; the second carbon footprint data of each key electrical equipment in the part assembly link and the carbon footprint data of the production link are calculated to obtain the second carbon emission percentage of each key electrical equipment in the part assembly link;

[0022] Add the first carbon emission proportion result and the second carbon emission proportion result of each key electrical equipment to the carbon emission proportion result group of each key electrical equipment, and sort the carbon emission proportion result group of each key electrical equipment in descending order of the carbon emission proportion results to obtain a carbon emission proportion result sequence of each key electrical equipment;

[0023] The link corresponding to the first-ranked carbon emission proportion result in the carbon emission proportion result sequence of each key electrical equipment is determined as the link with emission reduction potential, and the link corresponding to the second-ranked carbon emission proportion result in the carbon emission proportion result sequence of each key electrical equipment is determined as the non-core emission link.

[0024] Optionally, each potential link of emission reduction for key electrical equipment has a corresponding target emission reduction plan, and the target emission reduction plan corresponding to each potential link of emission reduction for key electrical equipment is determined by the following steps:

[0025] Obtain the file name of each candidate emission reduction scheme among multiple candidate emission reduction schemes; determine a keyword set corresponding to the emission reduction potential link of each key electrical equipment according to the emission reduction potential link of each key electrical equipment;

[0026] Match each keyword in the keyword set corresponding to the emission reduction potential link of each key electrical equipment with the file name of each candidate emission reduction scheme in multiple candidate emission reduction schemes, remove the candidate emission reduction schemes that fail to match from the multiple candidate emission reduction schemes, and obtain an updated candidate emission reduction scheme group;

[0027] The frequency of occurrence of each keyword of each candidate emission reduction scheme in the updated candidate emission reduction scheme group is calculated to obtain the total frequency of keyword occurrence of each candidate emission reduction scheme; the updated candidate emission reduction scheme group is sorted in descending order of the total frequency of keyword occurrence of each candidate emission reduction scheme to obtain a candidate emission reduction scheme sequence; the candidate emission reduction scheme ranked first in the candidate emission reduction scheme sequence is determined as the target emission reduction scheme corresponding to the emission reduction potential link of each key electrical equipment.

[0028] The present invention has the following beneficial effects:

[0029] 1. Improve the efficiency of carbon footprint data calculation and make it more intuitive and understandable. Specifically, by matching the pre-configured carbon footprint database of electrical equipment parts and the carbon footprint database of general parts, the carbon footprint data of the assembly parts involved in the power grid are calculated in advance. On this basis, when it is necessary to calculate the carbon footprint data of key electrical equipment in the parts preparation link, the carbon footprint data of the key electrical equipment is converted into the carbon footprint data of its corresponding assembly parts for calculation. At the same time, the assembly process flow chart of the key electrical equipment is analyzed and identified, and the carbon footprint data of the key electrical equipment in the parts assembly link is calculated. Thus, the cumbersome energy consumption data measurement and calculation process in the traditional method is avoided, and the calculation efficiency is improved; the carbon footprint data and carbon footprint level of each key electrical equipment are written into an intelligent electronic tag equipped with a light-emitting device, and the carbon footprint level is intuitively displayed in a light mode, so that the carbon footprint information of each key electrical equipment is more intuitive and easy to understand. Users do not need to deeply understand the complex carbon footprint data, and can judge the carbon footprint level of the electrical equipment only by the light mode. Therefore, the intuitiveness and comprehensibility of the carbon footprint data of the electrical equipment are improved;

[0030] 2. Improved the processing efficiency of electrical equipment data and the targeted implementation of emission reduction measures for electrical equipment. Specifically, by considering the impact of the purchase quantity and purchase amount dimensions, key electrical equipment groups that have a great impact on the market supply chain and involve key application areas are identified, which helps to more accurately identify which are the key core electrical equipment, improves the processing efficiency while also ensuring that the analysis and processing of electrical equipment is more effective; by taking the quotient and converting the percentage, the carbon footprint data of each link in the production process can be clearly obtained as a proportion of the carbon footprint data in the entire production process, and the proportion results are sorted to identify the emission reduction potential links and non-core emission links, which improves the processing efficiency and identification accuracy; after identifying the emission reduction potential links, the target emission reduction plan is determined for each key electrical equipment emission reduction potential link, which can more specifically determine the emission reduction plan and select appropriate emission reduction technologies and methods, which not only improves the emission reduction efficiency, but also reduces the emission reduction cost;

[0031] 3. Effectively reduce carbon emissions in the transportation stage, improve transportation efficiency and reduce transportation costs. Specifically, first screen out key electrical equipment with excessive carbon footprint data in the production process. In order to achieve the overall carbon emission reduction goal, select low-carbon transportation tools for electrical equipment with excessive carbon footprints, and then sort them according to the carbon footprint data of each electrical equipment with excessive carbon footprints. Generate corresponding combined transportation plans for each electrical equipment with excessive carbon footprints in the sequence of electrical equipment with excessive carbon footprints. In the specific implementation, add electrical equipment with the same transportation date and a close distance to the target destination of the target electrical equipment with excessive carbon footprints into a group. By accurately matching and optimizing the cargo weight of the electrical equipment in this group, further generate efficient and environmentally friendly combined transportation plans, which can not only significantly reduce the overall transportation cost and improve transportation efficiency to the greatest extent, but also effectively reduce unnecessary carbon emissions during transportation, thereby effectively promoting the development of green logistics. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The above and other features, advantages and aspects of the embodiments of the present invention will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and that components and elements are not necessarily drawn to scale.

[0033] Figure 1 It is a flow chart of a method for generating carbon footprint information of electrical equipment according to the present invention. DETAILED DESCRIPTION

[0034] The present invention will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be construed as being limited to the embodiments set forth herein. On the contrary, these embodiments are provided to provide a more thorough and complete understanding of the present invention. It should be understood that the drawings and embodiments of the present invention are only for exemplary purposes and are not intended to limit the scope of protection of the present invention.

[0035] It should also be noted that, for ease of description, only the parts related to the invention are shown in the drawings. In the absence of conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.

[0036] It should be noted that the concepts such as "first" and "second" mentioned in the present invention are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0037] It should be noted that the modifications of "one" and "plurality" mentioned in the present invention are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0038] The names of the messages or information exchanged between multiple devices of the present invention are only for illustrative purposes, and are not used to limit the scope of these messages or information.

[0039] The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0040] like Figure 1 Shown is a flow chart of a method for generating carbon footprint information of electrical equipment according to the present invention.

[0041] Step 101, obtaining multiple historical material procurement data of each electrical equipment among multiple electrical equipment corresponding to the target power grid within a historical time period, the historical material procurement data including procurement name, procurement quantity and procurement amount; determining a key electrical equipment group according to the multiple historical material procurement data of each electrical equipment;

[0042] In some embodiments, the execution subject of the method for generating carbon footprint information of electrical equipment of the present invention is a background server, and the execution subject is connected to the purchasing terminal of each power grid through various communication methods. On this basis, multiple historical material procurement data of each electrical equipment in multiple electrical equipment corresponding to the target power grid in the historical time period are obtained from the purchasing terminal of the target power grid. The historical material procurement data includes the procurement name, procurement quantity and procurement amount. Specifically, the target power grid can be a power grid of a province designated for research, and the multiple historical material procurement data of each electrical equipment in the historical time period can be multiple historical material procurement data of each electrical equipment in the past year. Multiple electrical equipment may be electrical equipment 1 (high-voltage switchgear), electrical equipment 2 (transformer), and electrical equipment 3 (cable). Taking electrical equipment 1 (high-voltage switchgear) as an example, multiple historical material procurement data of electrical equipment 1 (high-voltage switchgear) may be historical material procurement data 1 (historical material procurement data on January 10, 2023), historical material procurement data 2 (historical material procurement data on June 10, 2023), and historical material procurement data 3 (historical material procurement data on December 10, 2023). The procurement name included in the historical material procurement data is high-voltage switchgear, the procurement quantity included in the historical material procurement data may be 50, and the procurement amount included in the historical material procurement data is the unit price of each high-voltage switchgear, which may be 200 yuan. Based on multiple historical material procurement data, determine the key electrical equipment group.

[0043] Optionally, key electrical equipment groups are determined by the following steps:

[0044] Step 1: Calculate the purchase quantity of each of the multiple historical material purchase data corresponding to each of the multiple electrical equipment to obtain a first total purchase quantity of each electrical equipment; sum the first total purchase quantity of each electrical equipment to obtain a second total purchase quantity corresponding to the multiple electrical equipment; calculate the quotient of the first total purchase quantity and the second total purchase quantity of each electrical equipment to obtain a purchase quantity proportion result of each electrical equipment; score each of the multiple electrical equipment according to the purchase quantity proportion result of each electrical equipment to obtain a purchase quantity proportion score of each electrical equipment;

[0045] In some embodiments, taking electrical equipment 1 (high-voltage switchgear), electrical equipment 2 (transformer), and electrical equipment 3 (cable) included in multiple electrical equipment as examples, among the multiple historical material procurement data corresponding to electrical equipment 1, historical material procurement data 1 (the procurement quantity is 50), historical material procurement data 2 (the procurement quantity is 20), and historical material procurement data 3 (the procurement quantity is 30), the procurement quantities of each historical material procurement data corresponding to electrical equipment 1 are added together, and the first total procurement quantity of electrical equipment 1 is obtained to be 100. Similarly, electrical equipment 2 and electrical equipment 3 are calculated in the same manner as the first total procurement quantity of electrical equipment 1, and the first total procurement quantity of electrical equipment 2 is 70, and the first total procurement quantity of electrical equipment 3 is 30. The first total procurement quantities of electrical equipment 1, electrical equipment 2, and electrical equipment 3 are summed up and calculated, and the second total procurement quantity corresponding to the multiple electrical equipment is obtained to be 200. The first total purchase quantity of electrical equipment 100 and the second total purchase quantity 200 are first calculated for quotient, and then converted into percentages, and the proportion of electrical equipment 1 is 50%. Similarly, the proportion of electrical equipment 2 is 35%, and the proportion of electrical equipment 3 is 15%. In practice, the execution subject locally stores a pre-established general scoring table, wherein the general scoring table includes multiple purchase quantity proportion results, purchase quantity proportion scores corresponding to each purchase quantity proportion result, multiple purchase amount proportion results, purchase amount proportion scores corresponding to each purchase amount proportion result, multiple importance levels, importance scores corresponding to each importance level, multiple supply chain impact levels, and supply chain impact scores corresponding to each supply chain impact level. On this basis, a pre-established general scoring table is obtained, and the purchase quantity proportion score of each electrical equipment is obtained by matching the purchase quantity proportion result of each electrical equipment in the general scoring table. For example, the purchase quantity proportion result of electrical equipment 1 is matched in the general scoring table, and the purchase quantity proportion score of electrical equipment 1 is obtained as 85 points.

[0046] Step 2: Calculate the purchase amount of each historical material purchase data of each electrical equipment to obtain the first total purchase amount of each electrical equipment; sum the first total purchase amount of each electrical equipment to obtain the second total purchase amount corresponding to multiple electrical equipment; calculate the quotient of the first total purchase amount and the second total purchase amount of each electrical equipment to obtain the purchase amount ratio of each electrical equipment; score each electrical equipment in the multiple electrical equipment according to the purchase amount ratio of each electrical equipment to obtain the purchase amount ratio score of each electrical equipment;

[0047] In some embodiments, taking electrical equipment one and electrical equipment two as examples, if the first total purchase quantity of electrical equipment one is 100 and the purchase amount is 200 yuan each, the first total purchase amount of electrical equipment one is 20,000 yuan. If the first total purchase amount of electrical equipment two is 10,000 yuan, then the second total purchase amount corresponding to electrical equipment one and electrical equipment two is 30,000 yuan. The calculation process of the purchase amount percentage result of electrical equipment one is: 20,000 yuan divided by 30,000 yuan and then converted into a percentage equals 66.7%. Similarly, the purchase amount percentage result of electrical equipment two is 33.3%. By matching the purchase amount percentage result of electrical equipment one, 66.7%, in the general scoring table, the purchase amount percentage score of electrical equipment one is 90 points.

[0048] Step 3: Obtain the equipment name of each core equipment in the core equipment group corresponding to the key application fields corresponding to the multiple electrical equipment, match the purchase name of each electrical equipment with the equipment name of each core equipment in the core equipment group, determine the importance level of the electrical equipment that successfully matches as level one, and determine the importance level of the electrical equipment that fails to match as level two; score each electrical equipment according to its importance level to obtain an importance score of each electrical equipment;

[0049] In some embodiments, the equipment name of each core equipment in the core equipment group corresponding to the key application fields corresponding to the multiple electrical equipment is obtained from the power grid standard database. The core equipment group corresponding to the key application fields corresponding to the multiple electrical equipment involves core equipment of core categories such as power transmission, power transformation, power distribution, and pumped storage. The core equipment group may include core equipment one (equipment name is high-voltage switchgear), core equipment two (transformer), and core equipment three (circuit breaker). Assume that among the multiple electrical equipment, electrical equipment one (purchase name is high-voltage switchgear), electrical equipment two (transformer), and electrical equipment three (cable). The purchase name of each electrical equipment is matched with the equipment name of each core equipment in the core equipment group. The matching condition is that the purchase name of the electrical equipment and the equipment name of the core equipment are the same, which is a successful match, and the different ones are a failed match. For example, the purchase name of the electrical equipment one (high-voltage switchgear) and the equipment name of the core equipment one (high-voltage switchgear) are the same, which means that the match is successful, then the importance level of the electrical equipment one is one, and the purchase name of the electrical equipment three (cable) does not exist in the core equipment group, then the importance level of the electrical equipment three is two. By matching the importance level of electrical equipment one in the general scoring table, the importance score of electrical equipment one is 95 points.

[0050] Step 4: Obtain the market share, number of alternative equipment, and price of alternative equipment for each electrical equipment, and determine the supply chain impact score of each electrical equipment based on the market share, purchase amount, number of alternative equipment, and price of alternative equipment for each electrical equipment;

[0051] In some embodiments, the market share, number of alternative equipment, and price of alternative equipment of each electrical equipment are obtained from the purchasing terminal of the target power grid. Specifically, the market share refers to the proportion of the sales volume of a certain product in similar products in the market, and the alternative equipment refers to equipment that has similar functions or uses as a certain electrical equipment and can replace each other. Taking electrical equipment 1 (high-voltage switchgear) as an example, the number of alternative equipment for the high-voltage switchgear can be 2, and the prices of the 2 alternative equipment can be 180 yuan and 150 yuan respectively. The executing entity locally stores a pre-configured electrical equipment market management score sheet, and on this basis, obtains the pre-configured electrical equipment market management score sheet, which includes multiple electrical equipment, scores corresponding to the purchase amount range of each electrical equipment, scores corresponding to the market share range of each electrical equipment, scores corresponding to the alternative equipment quantity range of each electrical equipment, and scores corresponding to the alternative equipment price range of each electrical equipment. By matching the market share, purchase amount, quantity of alternative equipment, and price of electrical equipment 1 (high-voltage switchgear) in the electrical equipment market management score sheet respectively, the score corresponding to the purchase amount, market share, quantity of alternative equipment, and price of alternative equipment of electrical equipment 1 (high-voltage switchgear) are obtained. Assign weights to the score corresponding to the purchase amount, market share, number of alternative equipment, and price of electrical equipment one (high-voltage switchgear), respectively. Perform weighted summation of the score corresponding to the purchase amount, market share, number of alternative equipment, and price of electrical equipment one (high-voltage switchgear) using the weights to obtain the supply chain impact score of electrical equipment one (high-voltage switchgear), which can be 92 points.

[0052] Step 5: Assign weights to the purchase quantity proportion score, purchase amount proportion score, importance score, and supply chain impact score of the electrical equipment, respectively, and perform weighted summation of the purchase quantity proportion score, purchase amount proportion score, importance score, and supply chain impact score of each electrical equipment using the weights to obtain a comprehensive score for each electrical equipment.

[0053] Step six: determine the electrical equipment with a comprehensive score greater than a preset score threshold among the multiple electrical equipment as key electrical equipment to obtain a key electrical equipment group.

[0054] In some embodiments, a weight of 20% is assigned to the purchase quantity proportion score of electrical equipment, a weight of 20% is assigned to the purchase amount proportion score, a weight of 30% is assigned to the importance score, and a weight of 30% is assigned to the supply chain impact score. Taking electrical equipment one as an example, the purchase quantity proportion score of electrical equipment one is 85 points multiplied by a weight of 20%, the purchase amount proportion score is 90 points multiplied by a weight of 20%, the importance score is 95 points multiplied by a weight of 30%, and the supply chain impact score is 92 points multiplied by a weight of 30%. The comprehensive score of electrical equipment one is 91.1 points. The comprehensive score of electrical equipment one is 91.1 points, which is greater than the preset score threshold of 80 points. Electrical equipment one is identified as key electrical equipment one. Similarly, if the comprehensive score of electrical equipment two is 89 points, which is greater than the preset score threshold of 80 points, electrical equipment two will be determined as key electrical equipment two. If the comprehensive score of electrical equipment three is 75 points, which is less than the preset score threshold of 80 points, it cannot be determined as key electrical equipment. Therefore, the key electrical equipment group includes key electrical equipment one (electrical equipment one) and key electrical equipment two (electrical equipment two).

[0055] Step 102, obtaining an assembly parts list corresponding to each key electrical equipment in the key electrical equipment group, wherein the assembly parts list includes a plurality of assembly parts constituting the key electrical equipment, part identification and part quantity of each assembly part, part attribute information of each assembly part, and an assembly process flow chart; obtaining a pre-configured electrical equipment parts carbon footprint database and a general parts carbon footprint database; wherein the electrical equipment parts carbon footprint database includes a plurality of electrical part identifications, part attribute information corresponding to each electrical part identification, and carbon footprint data corresponding to each electrical part identification in the production, transportation, and storage links; and the general parts carbon footprint database includes a plurality of general part identifications, part attribute information corresponding to each general part identification, and carbon footprint data corresponding to each general part identification in the production, transportation, and storage links;

[0056] In some embodiments, the execution subject locally stores an electrical equipment management database, and the electrical equipment management database includes a list of assembly parts for each electrical equipment. On this basis, the list of assembly parts corresponding to each key electrical equipment is obtained from the electrical equipment management database, and the list of assembly parts includes a variety of assembly parts constituting the key electrical equipment, the part identification and part quantity of each assembly part, the part attribute information of each assembly part, and an assembly process flow chart. Specifically, taking a key electrical equipment, a high-voltage switchgear, as an example, the various assembly parts of the high-voltage switchgear may be a housing, a circuit breaker, and a current transformer. Taking the assembly part current transformer as an example, the part identification of the assembly part current transformer may be C-001, the number of parts of the current transformer may be 3, the model included in the part attribute information of the current transformer is LZZBJ9-10, the ratio included in the part attribute information is 600 / 5, and the accuracy level included in the part attribute information is 0.5, and the assembly process flow chart includes multiple assembly steps, and the carbon footprint sub-data of each assembly part in the part assembly link of the multiple assembly parts corresponding to each assembly step. In practice, the executing entity locally stores a pre-configured carbon footprint database of electrical equipment parts and a general parts carbon footprint database, and on this basis, obtains the pre-configured carbon footprint database of electrical equipment parts and a general parts carbon footprint database; wherein the carbon footprint database of electrical equipment parts includes multiple electrical part identifications, part attribute information corresponding to each electrical part identification, and carbon footprint data corresponding to each electrical part identification in the production, transportation and storage links. For example, in the carbon footprint database of electrical equipment parts, multiple electrical part identifiers may be C-001 and C-002, where the model number included in the part attribute information corresponding to C-001 (current transformer) is LZZBJ9-10, the transformation ratio included in the part attribute information is 600 / 5, and the accuracy level included in the part attribute information is 0.5. The carbon footprint data corresponding to C-001 in the production, transportation, and storage links may be 200kgCO2e, and the model number included in the part attribute information corresponding to C-002 is DW45-1250, the rated voltage included in the part attribute information is 10kV, and the rated current included in the part attribute information is 1250A. The carbon footprint data corresponding to C-002 in the production, transportation, and storage links may be 400kgCO2e. The carbon footprint database of general parts includes multiple general part identifiers, the part attribute information corresponding to each general part identifier, and the carbon footprint data corresponding to each general part identifier in the production, transportation, and storage links.For example, the multiple universal part identifications included in the universal part carbon footprint database may be C-003 and C-004, the part attribute information corresponding to the universal part identification C-003 may be the model number LZZBJ9-9, the transformation ratio included in the part attribute information is 300 / 1 and the accuracy level included in the part attribute information is 0.4, and the carbon footprint data corresponding to C-003 in the production, transportation and storage links is 180kgCO2e; the part attribute information corresponding to the universal part identification C-004 may be the model number DW45-1010, the rated voltage included in the part attribute information is 5kV, and the rated current included in the part attribute information is 550A.

[0057] Step 103, for each assembly part in the assembly parts list, matching is performed in the electrical equipment parts carbon footprint database according to the part identification. If a matching electrical part identification exists in the electrical equipment parts carbon footprint database, the matching electrical part identification is determined as the matching electrical part identification, and the carbon footprint data of the corresponding assembly part in the production, transportation and storage links is determined according to the carbon footprint data corresponding to the matching electrical part identification in the production, transportation and storage links; if a matching electrical part identification does not exist in the electrical equipment parts carbon footprint database, matching is performed in the general parts carbon footprint database according to the part attribute information of the assembly part, and the part attribute information with the highest matching degree in the general parts carbon footprint database is determined as the matching part attribute information, and the carbon footprint data of the corresponding assembly part in the production, transportation and storage links is generated according to the carbon footprint data corresponding to the matching part attribute information and the matching degree;

[0058] In some embodiments, taking the current transformer in the assembly parts list as an example, the part identification C-001 of the current transformer is matched in the carbon footprint database of electrical equipment parts. If there is a matching electrical part identification C-001 in the carbon footprint database of electrical equipment parts, the matching C-001 is determined as the matching electrical part identification. The carbon footprint data matched by C-001 in the carbon footprint database of electrical equipment parts is 200kgCO2e, then the carbon footprint data of the assembly part C-001 in the production, transportation and storage links is 200kgCO2e. If there is no matching electrical part identification C-001 in the electrical equipment parts carbon footprint database, the part attribute information of the assembly part C-001 will be matched in the general parts carbon footprint database. C-003 and C-001 are two current transformers of different models. The assembly part C-001 has the highest match with C-003 in the general parts carbon footprint database. The carbon footprint data of C-003 with the highest match is determined as the carbon footprint data of the assembly part C-001. If the corresponding carbon footprint data of C-003 in the production, transportation and storage links is 180kgCO2e, C-003 will be determined as the carbon footprint data of the assembly part C-001 in the production, transportation and storage links of 180kgCO2e.

[0059] Step 104, generating first carbon footprint data of each key electrical equipment in the parts preparation link according to the multiple assembly parts in the assembly parts list, the number of each assembly part, and the carbon footprint data of each assembly part in the production, transportation, and storage links;

[0060] In some embodiments, the total carbon footprint data of each assembly part is obtained by multiplying the number of parts of each assembly part by the carbon footprint data of each assembly part in the production, transportation and storage links, and then the total carbon footprint data of multiple assembly parts corresponding to each key electrical equipment are added together to obtain the first carbon footprint data of each key electrical equipment in the parts preparation link.

[0061] Step 105: for each key electrical equipment, according to the assembly process flow chart included in the assembly parts list corresponding to the key electrical equipment, generate the second carbon footprint data corresponding to the parts assembly link of each key electrical equipment; and according to the first carbon footprint data and the second carbon footprint data, generate the carbon footprint data and carbon footprint level of each key electrical equipment in the production link, the production link includes the parts preparation link and the parts assembly link;

[0062] Optionally, the second carbon footprint data corresponding to the parts assembly link of each key electrical equipment is determined by the following steps:

[0063] Step 1: Analyze and identify the assembly process flow chart of each key electrical equipment, and determine the carbon footprint sub-data of each assembly part in the assembly part group corresponding to each assembly step in multiple assembly steps of each key electrical equipment in the parts assembly link;

[0064] Step 2: Add up the carbon footprint sub-data of each assembly part corresponding to each assembly step corresponding to each key electrical equipment in the parts assembly link to obtain the second carbon footprint data corresponding to each key electrical equipment in the parts assembly link.

[0065] In some embodiments, taking a key electrical equipment, a high-voltage switchgear, as an example, its assembly process includes multiple complex assembly steps, which may be installation steps, connection steps, debugging steps, etc. In each assembly step, for the same part (such as an electrical component), the final processing method is different due to its different installation position, different connection method, and different debugging steps. These differences may cause the carbon footprint data generated for the part during the assembly process to be different. Therefore, for a key electrical equipment, a high-voltage switchgear, the assembly process flow chart of the high-voltage switchgear is parsed and identified to obtain the carbon footprint sub-data of each assembly part corresponding to each assembly step of the high-voltage switchgear in the part assembly link. The carbon footprint sub-data of each assembly part corresponding to each assembly step of the high-voltage switchgear in the part assembly link are added together to obtain the second carbon footprint data corresponding to the key electrical equipment, a high-voltage switchgear, in the part assembly link.

[0066] In some embodiments, the first carbon footprint data and the second carbon footprint data of each key electrical equipment are added to generate the carbon footprint data of each key electrical equipment in the production link, and the production link includes the parts preparation link and the parts assembly link. The carbon footprint data of each key electrical equipment in the production link is matched with the preset carbon footprint level division interval to obtain the carbon footprint level of each key electrical equipment in the production link. The preset carbon footprint level division interval is level A (low, less than or equal to 500kgCO2e), level B (medium, greater than 500kgCO2e and less than or equal to 1500kgCO2e), and level C (high, greater than 1500kgCO2e). If the carbon footprint data of a high-voltage switchgear of a key electrical equipment is 800kgCO2e, the carbon footprint level of the high-voltage switchgear of the key electrical equipment is level B.

[0067] Step 106, write the carbon footprint data and carbon footprint level of each key electrical equipment in the production process into the smart electronic tag corresponding to each key electrical equipment, the smart electronic tag is equipped with a light-emitting device, the light-emitting device is equipped with multiple lighting modes, and each lighting mode corresponds to a carbon footprint level.

[0068] In some embodiments, the smart electronic tag corresponding to a high-voltage switchgear for key electrical equipment may be an RFID tag. The carbon footprint data and carbon footprint level of the high-voltage switchgear in the production process are first input into the RFID reader / writer, and then the RFID tag of the high-voltage switchgear is connected to the RFID reader / writer and written into the RFID tag of the high-voltage switchgear. The smart electronic tag is configured with a light-emitting device, and the light-emitting device is configured with a plurality of light modes, which may be a green light mode, a yellow light mode and a red light mode, wherein each light mode corresponds to a carbon footprint level, for example, the green light mode corresponds to carbon footprint level A (low, less than or equal to 500kgCO2e).

[0069] In some embodiments, the efficiency of calculating carbon footprint data is improved, and the intuitiveness and comprehensibility of understanding carbon footprint data are improved. Specifically, by matching the pre-configured carbon footprint database of electrical equipment parts and the carbon footprint database of general parts, the carbon footprint data of the assembly parts involved in the power grid are calculated in advance. On this basis, when it is necessary to calculate the carbon footprint data of key electrical equipment in the parts preparation link, the carbon footprint data of the key electrical equipment is converted into the carbon footprint data of its corresponding assembly parts for calculation. At the same time, the assembly process flow chart of the key electrical equipment is analyzed and identified, and the carbon footprint data of the key electrical equipment in the parts assembly link is calculated. Thus, the cumbersome energy consumption data measurement and calculation process in the traditional method is avoided, and the calculation efficiency is improved; the carbon footprint data and carbon footprint level of each key electrical equipment are written into an intelligent electronic tag equipped with a light-emitting device, and the carbon footprint level is intuitively displayed in a light mode, so that the carbon footprint information of each key electrical equipment is more intuitive and easy to understand. Users do not need to deeply understand the complex carbon footprint data, and can judge the carbon footprint level of the electrical equipment based on the light mode alone. Therefore, the intuitiveness and comprehensibility of the carbon footprint data of the electrical equipment are improved.

[0070] In some embodiments, in order to further solve the second technical problem described in the background technology section, namely, "with the increase in the types of electrical equipment, the amount of related data is also growing rapidly. Comprehensive analysis and processing of a large amount of electrical equipment data will lead to low processing efficiency and failure to respond to market changes in a timely manner; the current implementation of carbon emission reduction measures for electrical equipment involves a wide range, lacks focus and is not targeted, resulting in scattered resources, thereby reducing emission reduction efficiency and increasing costs", in some embodiments of the present invention, a method for generating carbon footprint information of electrical equipment also includes:

[0071] Step 1: Calculate the quotient of the first carbon footprint data of each key electrical equipment in the parts preparation link and the carbon footprint data of the production link to obtain the first carbon emission percentage corresponding to the parts preparation link of each key electrical equipment; calculate the quotient of the second carbon footprint data of each key electrical equipment in the parts assembly link and the carbon footprint data of the production link to obtain the second carbon emission percentage corresponding to the parts assembly link of each key electrical equipment;

[0072] In some embodiments, taking the second transformer of key electrical equipment as an example, the carbon footprint data of the transformer in the production link is 800kgCO2e, of which the first carbon footprint data in the parts preparation link is 600kgCO2e, and the second carbon footprint data in the parts assembly link is 200kgCO2e. The first carbon footprint data of the transformer in the parts preparation link and the carbon footprint data in the production link are calculated by quotient, and then converted into percentages, and the first carbon emission corresponding to the transformer in the parts preparation link is 75%. The second carbon footprint data of the transformer in the parts assembly link and the carbon footprint data in the production link are calculated by quotient, and then converted into percentages, and the second carbon emission corresponding to the transformer in the parts assembly link is 25%.

[0073] Step 2: Add the first carbon emission proportion result and the second carbon emission proportion result of each key electrical equipment to the carbon emission proportion result group of each key electrical equipment, and sort the carbon emission proportion result group of each key electrical equipment in descending order of the carbon emission proportion results to obtain the carbon emission proportion result sequence of each key electrical equipment;

[0074] In some embodiments, the first carbon emission proportion result and the second carbon emission proportion result of the transformer are added to the carbon emission proportion result group of the transformer, the carbon emission proportion result group includes 75% and 25%, and the carbon emission proportion result sequence of the transformer is 75% and 25%.

[0075] Step three, determine the link corresponding to the first carbon emission proportion result in the carbon emission proportion result sequence of each key electrical equipment as the link with emission reduction potential, and determine the link corresponding to the second carbon emission proportion result in the carbon emission proportion result sequence of each key electrical equipment as the non-core emission link.

[0076] In some embodiments, the result sequence of the carbon emission percentage of the transformer is 75% and 25%, and 75% ranks first in the result sequence of the carbon emission percentage of the transformer. The parts preparation link corresponding to 75% is determined as the emission reduction potential link, and the parts assembly link corresponding to 25% is determined as the non-core emission link. Among them, the emission reduction potential link refers to the parts preparation link or the parts assembly link that can be improved by improving energy efficiency or adopting clean energy, and the greenhouse gas emissions in the parts preparation link or the parts assembly link can be reduced through improvement. The non-core emission link refers to the link that is not the main producer of greenhouse gases compared with the emission reduction potential link.

[0077] Among them, each key electrical equipment emission reduction potential link has a corresponding target emission reduction plan, and the target emission reduction plan corresponding to each key electrical equipment emission reduction potential link is determined through the following steps:

[0078] Step 1: Obtain the file name of each candidate emission reduction scheme among multiple candidate emission reduction schemes; determine a keyword set corresponding to the emission reduction potential link of each key electrical equipment according to the emission reduction potential link of each key electrical equipment;

[0079] In some embodiments, the execution subject locally stores an emission reduction scheme database, and on this basis, obtains multiple candidate emission reduction schemes from the emission reduction scheme database, and the multiple candidate emission reduction schemes may include candidate emission reduction scheme 1, candidate emission reduction scheme 2, and candidate emission reduction scheme 3. Taking the emission reduction potential link of the key electrical equipment No. 2 transformer as an example, if the emission reduction potential link of the transformer is the parts preparation link, text extraction is performed on the transformer and the parts preparation link to obtain a keyword set corresponding to the emission reduction potential link of the transformer, and the keyword set includes "transformer" and "parts preparation link".

[0080] Step 2: Match each keyword in the keyword set corresponding to the emission reduction potential link of each key electrical equipment with the file name of each candidate emission reduction scheme in multiple candidate emission reduction schemes, remove the candidate emission reduction schemes that fail to match from the multiple candidate emission reduction schemes, and obtain an updated candidate emission reduction scheme group;

[0081] In some embodiments, each keyword is matched with the file name of each candidate emission reduction plan. The matching process is to eliminate the candidate emission reduction plans whose file names do not contain any of the keywords in the keyword set. For example, if the file name of candidate emission reduction plan one contains the keyword "transformer" but does not contain the keyword "parts preparation link", then candidate emission reduction plan one is eliminated from the multiple candidate emission reduction plans to obtain an updated candidate emission reduction plan group, and the updated candidate emission reduction plan group includes candidate emission reduction plan two and candidate emission reduction plan three.

[0082] Step three, calculate the frequency of occurrence of each keyword of each candidate emission reduction plan in the updated candidate emission reduction plan group to obtain the total frequency of keyword occurrence of each candidate emission reduction plan; sort the updated candidate emission reduction plan group in descending order of the total frequency of keyword occurrence of each candidate emission reduction plan to obtain a candidate emission reduction plan sequence; determine the candidate emission reduction plan ranked first in the candidate emission reduction plan sequence as the target emission reduction plan corresponding to the emission reduction potential link of each key electrical equipment.

[0083] In some embodiments, the frequency of occurrence of each keyword in candidate emission reduction scheme two and candidate emission reduction scheme three is calculated. Assuming that the frequency of occurrence of the keyword "transformer" of candidate emission reduction scheme two is 2 times and the frequency of occurrence of "parts preparation link" is 5 times, the total frequency of occurrence of the keywords of candidate emission reduction scheme two is added up to be 7 times. If the total frequency of occurrence of the keywords of candidate emission reduction scheme three is 5 times, candidate emission reduction scheme two and candidate emission reduction scheme three are sorted in order from large to small according to the total frequency of occurrence of the keywords of each candidate emission reduction scheme, and the candidate emission reduction scheme sequence is candidate emission reduction scheme two and candidate emission reduction scheme three. Candidate emission reduction scheme two ranks first in the candidate emission reduction scheme sequence, and candidate emission reduction scheme two is determined as the target emission reduction scheme corresponding to the emission reduction potential link of the transformer.

[0084] In some embodiments, the processing efficiency of electrical equipment data is improved, and emission reduction measures are implemented in a targeted manner for electrical equipment. Specifically, by considering the impact of the purchase quantity and purchase amount dimensions, key electrical equipment groups that have a large impact on the market supply chain and involve key application areas are identified, which helps to more accurately identify which are the key core electrical equipment, improves the processing efficiency, and also ensures that the analysis and processing of electrical equipment is more effective; by seeking quotients and percentage conversions, the proportion of carbon footprint data of each link in the production link to the carbon footprint data in the entire production link can be clearly obtained, and the proportion results are sorted to identify emission reduction potential links and non-core emission links, which improves processing efficiency and identification accuracy; after identifying the emission reduction potential link, the target emission reduction plan is determined for each key electrical equipment emission reduction potential link, which can more specifically determine the emission reduction plan and select suitable emission reduction technologies and methods, which not only improves the emission reduction efficiency, but also reduces the emission reduction cost.

[0085] In some embodiments, in order to further solve the technical problem 3 described in the background technology section, namely, "due to the lack of effective logistics planning in the logistics and transportation of electrical equipment, the carbon emissions remain high, so that in the overall carbon footprint information of electrical equipment, the proportion of carbon emissions in the transportation stage is significantly high", some embodiments of the present invention also include:

[0086] Step 1: Obtain the logistics and transportation information of each key electrical equipment in the key electrical equipment group, the logistics and transportation information includes the target destination, cargo weight and transportation date; obtain the vehicle information of each candidate transport vehicle among multiple candidate transport vehicles, the vehicle information includes vehicle type and vehicle load capacity;

[0087] In some embodiments, the execution subject has a communication connection with the transportation terminal of the electrical equipment. On this basis, the logistics transportation information of each key electrical equipment in the key electrical equipment group and the vehicle information of each candidate transportation vehicle in multiple candidate transportation vehicles are obtained from the transportation terminal of the electrical equipment, wherein the logistics transportation information includes the target destination, cargo weight and transportation date. For example, the target destination included in the logistics transportation information is the designated transportation destination. The cargo weight included in the logistics transportation information may be 10 tons. The transportation date included in the logistics transportation information may be May 10, 2023. The vehicle type included in the vehicle information of each candidate transportation vehicle may be a new energy large truck or a diesel large truck. The new energy large truck uses electricity as the power source and the vehicle load capacity is 30 tons. The diesel large truck uses diesel as the power source and the vehicle load capacity is 30 tons. The carbon emissions of the new energy large truck are less than those of the diesel large truck.

[0088] Step 2: Determine the key electrical equipment in the key electrical equipment group whose carbon footprint data in the production link is greater than or equal to the preset carbon footprint threshold as the electrical equipment with excessive production carbon footprint, and obtain the electrical equipment group with excessive production carbon footprint; match each electrical equipment with excessive production carbon footprint in the electrical equipment group with excessive production carbon footprint with a candidate transport vehicle of the corresponding vehicle type from multiple candidate transport vehicles, and obtain the candidate transport vehicle of the corresponding vehicle type for each electrical equipment with excessive production carbon footprint; sort the electrical equipment group with excessive production carbon footprint in descending order according to the carbon footprint data of each electrical equipment with excessive production carbon footprint in the production link, and obtain a sequence of electrical equipment with excessive production carbon footprint, and select the electrical equipment with excessive production carbon footprint that ranks first in the sequence of electrical equipment with excessive production carbon footprint as the target electrical equipment with excessive production carbon footprint;

[0089] In some embodiments, taking capacitors as an example, if the carbon footprint data of capacitors in the production process (1500kgCO2e) is greater than the preset carbon footprint threshold (1000kgCO2e), the capacitors are determined as electrical equipment with excessive carbon footprints. If the carbon footprint data of transformers in the production process (1200kgCO2e) is greater than the preset carbon footprint threshold, the capacitors and transformers are added to the group of electrical equipment with excessive carbon footprints. The carbon footprint data of capacitors and transformers in the production process exceeds the standard. In order to achieve the overall carbon emission reduction goal, new energy large trucks are used in the transportation process to reduce carbon emissions generated by vehicle fuel combustion. The vehicle type that matches capacitors and transformers is new energy large trucks.

[0090] In some embodiments, the group of electrical equipment with excessive carbon footprint is sorted, and the sequence of electrical equipment with excessive carbon footprint is capacitors and transformers. Capacitors are ranked first in the sequence of electrical equipment with excessive carbon footprint, and capacitors are taken as target electrical equipment with excessive carbon footprint.

[0091] Step 3: Determine the key electrical equipment in the key electrical equipment group that has the same transportation date as the target production carbon footprint electrical equipment as the electrical equipment transported during the same period, and obtain the electrical equipment group transported during the same period; divide the electrical equipment transported during the same period within the preset target destination of the target production carbon footprint electrical equipment into the adjacent electrical equipment set;

[0092] In some embodiments, if the transportation date of key electrical equipment 1, key electrical equipment 2, key electrical equipment 3 and the target production exceeding carbon footprint electrical equipment is the same, which is May 10, 2023, then key electrical equipment 1, key electrical equipment 2, and key electrical equipment 3 are added to the electrical equipment group transported at the same time. In the electrical equipment group transported at the same time, only electrical equipment 1 transported at the same time (key electrical equipment 1) and electrical equipment 1 transported at the same time (key electrical equipment 2) are within the preset range (20 kilometers) of the target destination of the target production exceeding carbon footprint electrical equipment, and key electrical equipment 1 and key electrical equipment 2 are divided into the adjacent electrical equipment set.

[0093] Step 4: Calculate the vehicle load and cargo weight corresponding to the target production electrical equipment with excessive carbon footprint to obtain the remaining vehicle load corresponding to the target production electrical equipment with excessive carbon footprint; if the remaining vehicle load is greater than or equal to the preset remaining load, determine the transport vehicle corresponding to the target production electrical equipment with excessive carbon footprint as the target empty vehicle;

[0094] Step five, matching the remaining load weight of the target empty vehicle with the cargo weight of each adjacent electrical equipment in the set of adjacent electrical equipment until the preset weight standard interval is reached, and determining each adjacent electrical equipment that is successfully matched as a combined transport electrical equipment and generating a corresponding combined transport plan.

[0095] In some embodiments, the vehicle load corresponding to the target production exceeding carbon footprint electrical equipment is subtracted from the cargo weight to obtain the remaining vehicle load corresponding to the target production exceeding carbon footprint electrical equipment, and the remaining vehicle load can be 20 tons. Among them, the remaining vehicle load of 20 tons is greater than the preset remaining load (5 tons), and the transport vehicle corresponding to the target production exceeding carbon footprint electrical equipment is determined as the target empty vehicle. If the remaining vehicle load is less than the preset remaining load, the target production exceeding carbon footprint electrical equipment is removed from the production exceeding carbon footprint electrical equipment sequence to obtain an updated production exceeding carbon footprint electrical equipment sequence, and the updated target production exceeding carbon footprint electrical equipment is screened out again from the updated production exceeding carbon footprint electrical equipment sequence, and a combined transportation plan is generated for the updated target production exceeding carbon footprint electrical equipment.

[0096] In some embodiments, the remaining vehicle load of 20 tons corresponding to the target production carbon footprint exceeding the standard electrical equipment is matched with the cargo weight corresponding to each adjacent electrical equipment in the adjacent electrical equipment set. Assuming that the adjacent electrical equipment set includes adjacent electrical equipment one and adjacent electrical equipment two, the cargo weight of adjacent electrical equipment one is 9 tons, and the cargo weight of adjacent electrical equipment two is 7 tons. After matching adjacent electrical equipment one with the target production carbon footprint exceeding the standard electrical equipment, the remaining vehicle load of the target unloaded vehicle is 20 tons minus 9 tons equals 11 tons, and 11 tons does not reach the preset weight compliance range (less than 5 tons and greater than 2 tons). Then continue to match with adjacent electrical equipment two. At this time, the remaining vehicle load of the target unloaded vehicle is 11 tons minus 7 tons equals 4 tons, and 4 tons reaches the preset weight compliance range. Adjacent electrical equipment one and adjacent electrical equipment two are simultaneously determined as combined transportation electrical equipment, and the combined transportation plan includes the target production carbon footprint exceeding the standard electrical equipment, adjacent electrical equipment one and adjacent electrical equipment two. The combined transport plan is sent to the transport terminal device (mobile phone of the transport personnel) of the transport vehicle corresponding to the target production exceeding carbon footprint electrical equipment, so that the transport personnel corresponding to the transport terminal device can carry out the combined transport of the target production exceeding carbon footprint electrical equipment, adjacent electrical equipment 1 and adjacent electrical equipment 2 in the combined transport plan. After the corresponding combined transport plan is generated for the target production exceeding carbon footprint electrical equipment, it is removed from the production exceeding carbon footprint electrical equipment sequence to obtain the updated production exceeding carbon footprint electrical equipment sequence, and the updated target production exceeding carbon footprint electrical equipment is again selected from the updated production exceeding carbon footprint electrical equipment sequence to generate a combined transport plan for the updated target production exceeding carbon footprint electrical equipment.

[0097] In these embodiments, carbon emissions in the transportation stage are effectively reduced, transportation efficiency is improved, and transportation costs are reduced. Specifically, the key electrical equipment with excessive carbon footprint data in the production process is first screened out. In order to achieve the overall carbon emission reduction goal, low-carbon transportation tools are selected for the electrical equipment with excessive carbon footprint data, and then the carbon footprint data of each electrical equipment with excessive carbon footprint data are sorted, and corresponding combined transportation plans are generated for each electrical equipment with excessive carbon footprint in the sequence of electrical equipment with excessive carbon footprint data. In the specific implementation, electrical equipment with the same transportation date and a close distance to the target destination of the target electrical equipment with excessive carbon footprint data are added to a group. By accurately matching and optimizing the cargo weight of the electrical equipment in this group, an efficient and environmentally friendly combined transportation plan is further generated, which can not only significantly reduce the overall transportation cost and improve transportation efficiency to the greatest extent, but also effectively reduce unnecessary carbon emissions during transportation, thereby effectively promoting the development of green logistics.

[0098] The above descriptions are only some preferred embodiments of the present invention and the explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the present invention is not limited to the technical solutions formed by the specific combination of the above technical features, but also should cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present invention (but not limited to) to form a technical solution.

Claims

1. A method for generating carbon footprint information of electrical equipment, characterized in that: include: Determine the key electrical equipment group based on the purchase name, purchase quantity, purchase amount, and purchase quantity proportion score, purchase amount proportion score, importance score, and supply chain impact score of each electrical equipment in the historical material purchase data; According to the assembly parts list corresponding to each key electrical equipment in the key electrical equipment group, for each assembly part, match it in the pre-configured electrical equipment parts carbon footprint database. If there is a matching electrical part identification, determine the carbon footprint data of the assembly part in the production, transportation and storage links according to the carbon footprint data corresponding to the matching electrical part identification in the production, transportation and storage links; If it does not exist, match it in the general parts carbon footprint database according to the part attribute information of the assembly part, and generate the carbon footprint data of the assembly part in the production, transportation and storage links according to the carbon footprint data corresponding to the part attribute information with the highest matching degree and the matching degree; Generate the first carbon footprint data of each key electrical equipment in the parts preparation link based on the various assembly parts in the assembly parts list, the number of each assembly part, and the carbon footprint data of each assembly part in the production, transportation and storage links; Generate the second carbon footprint data corresponding to the parts assembly link of each key electrical equipment according to the assembly process flow chart included in the assembly parts list; and generate the carbon footprint data and carbon footprint level of the key electrical equipment in the production link according to the first and second carbon footprint data; and configure the lighting mode of the smart electronic tag of each key electrical equipment, and the lighting mode corresponds to the carbon footprint level; According to the carbon footprint data of key electrical equipment in the production process, electrical equipment with excessive carbon footprint is identified, low-carbon transportation tools are selected for the electrical equipment with excessive carbon footprint, and the electrical equipment is sorted according to the carbon footprint data of each electrical equipment with excessive carbon footprint. A corresponding combined transportation plan is generated for each electrical equipment with excessive carbon footprint in the sequence of electrical equipment with excessive carbon footprint in turn, specifically including: adding electrical equipment with the same transportation date and close distance to the target destination of the target electrical equipment with excessive carbon footprint to a group, and further generating the combined transportation plan by accurately matching and optimizing the cargo weight of the electrical equipment in the group.

2. The method for generating carbon footprint information of electrical equipment according to claim 1, characterized in that: The key electrical equipment group is determined by the following steps: Calculate the purchase quantity of each historical material purchase data in the plurality of historical material purchase data corresponding to each electrical equipment to obtain a first total purchase quantity of each electrical equipment; The first total purchase quantity of each electrical equipment is summed up to obtain the second total purchase quantity corresponding to the plurality of electrical equipment; Calculate the quotient of the first total purchase quantity of each electrical equipment and the second total purchase quantity to obtain a purchase quantity ratio result of each electrical equipment; Scoring each of the plurality of electrical equipment according to the procurement quantity proportion result of each electrical equipment to obtain a procurement quantity proportion score of each electrical equipment; Calculate the purchase amount of each historical material purchase data of each electrical equipment to obtain the first total purchase amount of each electrical equipment; The first total purchase amount of each electrical equipment is summed up to obtain the second total purchase amount corresponding to the plurality of electrical equipment; Calculate the quotient of the first total purchase amount of each electrical equipment and the second total purchase amount to obtain a purchase amount ratio of each electrical equipment; Scoring each of the plurality of electrical equipment according to the purchase amount ratio of each electrical equipment to obtain a purchase amount ratio score of each electrical equipment; Obtaining the equipment name of each core equipment in the core equipment group corresponding to the key application fields corresponding to the multiple electrical equipment, matching the procurement name of each electrical equipment with the equipment name of each core equipment in the core equipment group, determining the importance level of the electrical equipment that successfully matches as level one, and determining the importance level of the electrical equipment that fails to match as level two; scoring each electrical equipment according to its importance level to obtain an importance score for each electrical equipment; Obtain the market share, number of alternative equipment, and price of alternative equipment for each electrical equipment, and determine the supply chain impact score of each electrical equipment based on the market share, purchase amount, number of alternative equipment, and price of alternative equipment; Assign weights to the purchase quantity proportion score, purchase amount proportion score, importance score and supply chain impact score of the electrical equipment respectively, and perform weighted summation of the purchase quantity proportion score, purchase amount proportion score, importance score and supply chain impact score of each electrical equipment through the weights to obtain the comprehensive score of each electrical equipment; The electrical equipment having a comprehensive score greater than a preset score threshold among the multiple electrical equipment is determined as key electrical equipment to obtain the key electrical equipment group.

3. The method for generating carbon footprint information of electrical equipment according to claim 2, characterized in that: The second carbon footprint data corresponding to the parts assembly link of each key electrical equipment is determined by the following steps: Analyze and identify the assembly process flow chart of each key electrical equipment, and determine the carbon footprint sub-data of each assembly part in the assembly parts group corresponding to each assembly step in multiple assembly steps of each key electrical equipment in the parts assembly link; The carbon footprint sub-data of each assembly part corresponding to each assembly step corresponding to each key electrical equipment in the parts assembly link are added together to obtain the second carbon footprint data corresponding to each key electrical equipment in the parts assembly link.

4. The method for generating carbon footprint information of electrical equipment according to claim 3, characterized in that: Also includes: The first carbon footprint data of each key electrical equipment in the parts preparation link and the carbon footprint data of the production link are calculated to obtain the first carbon emission ratio of each key electrical equipment in the parts preparation link; The second carbon footprint data of each key electrical equipment in the parts assembly link and the carbon footprint data of the production link are calculated to obtain the second carbon emission percentage corresponding to the parts assembly link of each key electrical equipment; Add the first carbon emission proportion result and the second carbon emission proportion result of each key electrical equipment to the carbon emission proportion result group of each key electrical equipment, and sort the carbon emission proportion result group of each key electrical equipment in descending order of the carbon emission proportion results to obtain a carbon emission proportion result sequence of each key electrical equipment; The link corresponding to the first-ranked carbon emission proportion result in the carbon emission proportion result sequence of each key electrical equipment is determined as the link with emission reduction potential, and the link corresponding to the second-ranked carbon emission proportion result in the carbon emission proportion result sequence of each key electrical equipment is determined as the non-core emission link.

5. The method for generating carbon footprint information of electrical equipment according to claim 4, characterized in that: Each potential link of emission reduction for key electrical equipment has a corresponding target emission reduction plan. The target emission reduction plan corresponding to the potential link of emission reduction for each key electrical equipment is determined by the following steps: Obtain the file name of each candidate emission reduction scheme among multiple candidate emission reduction schemes; determine a keyword set corresponding to the emission reduction potential link of each key electrical equipment according to the emission reduction potential link of each key electrical equipment; Matching each keyword in the keyword set corresponding to the emission reduction potential link of each key electrical equipment with the file name of each candidate emission reduction scheme in the multiple candidate emission reduction schemes, removing the candidate emission reduction schemes that fail to match from the multiple candidate emission reduction schemes, and obtaining an updated candidate emission reduction scheme group; Calculating the occurrence frequency of each keyword of each candidate emission reduction scheme in the updated candidate emission reduction scheme group to obtain the total occurrence frequency of the keyword of each candidate emission reduction scheme; The updated candidate emission reduction scheme group is sorted in descending order according to the total frequency of keyword occurrence of each candidate emission reduction scheme to obtain a candidate emission reduction scheme sequence; the candidate emission reduction scheme ranked first in the candidate emission reduction scheme sequence is determined as the target emission reduction scheme corresponding to the emission reduction potential link of each key electrical equipment.

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