A method and system for compiling carbon emission inventory data
By designing a carbon emission inventory data compilation and processing system, the problem of carbon emissions not being included in the evaluation in the existing system was solved. The system realizes automated processing of carbon emission data and accuracy of evaluation scores, improves work efficiency, and promotes the implementation of carbon emission reduction.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-29
- Publication Date
- 2026-04-14
AI Technical Summary
The existing electronic bidding system fails to incorporate carbon emissions into the evaluation factors, resulting in inaccurate review results, increased workload for staff, and difficulty in promoting carbon reduction concepts and actions.
Design a carbon emission inventory data compilation and processing system, including a data interface and a processing platform. By acquiring bidding materials and carbon emission data, calculate carbon emission amounts and points, and combine them with evaluation values to determine the bidder's evaluation score.
It has enabled automated processing of carbon emission data, improved work efficiency, enhanced the comprehensiveness of evaluation factors, and promoted the application and implementation of carbon emission reduction concepts in enterprises.
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Figure CN119180419B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to carbon emission data processing technology, and in particular to a method and system for compiling and processing carbon emission inventory data. Background Technology
[0002] To address climate change, achieve sustainable development goals, and respond to government policies and market trends, companies in many sectors are developing and implementing carbon reduction actions to mitigate the negative environmental impact of their projects, particularly in industry, construction, and transportation. Clearly, carbon emissions are a crucial evaluation parameter for any company or project. However, current bidding and tendering processes do not include carbon emissions as an evaluation factor. This hinders the promotion and implementation of carbon reduction concepts and actions within companies and projects, and can lead to inaccurate final evaluation results due to incomplete evaluation criteria. Furthermore, current electronic bidding and tendering systems are primarily used for filling out, uploading, and publishing bidding and tendering materials. Their limited functionality, lacking processing capabilities for both bidding materials and carbon emission data, increases staff workload, reduces efficiency, and fails to meet the needs of promoting and implementing carbon reduction concepts and actions within companies. Summary of the Invention
[0003] This application aims to address at least one of the technical problems existing in the prior art. To this end, this application proposes a method and system for compiling and processing carbon emission inventory data.
[0004] In a first aspect, embodiments of this application provide a system for compiling and processing carbon emission inventory data, the system comprising:
[0005] The first data interface is used to obtain the first bid material data;
[0006] The second data interface is used to obtain the first carbon emission data;
[0007] The system processing platform includes at least one processor for loading programs to perform the following steps:
[0008] S1. Obtain the tender document information, and determine the required carbon emission calculation data type and / or the bidder's first carbon emission credit based on the tender document information; wherein, the carbon emission calculation data type includes at least document printing data type, transportation data type and / or hotel accommodation data type;
[0009] S2. Based on the required carbon emission calculation data type, obtain the corresponding first carbon emission data through the second data interface;
[0010] S3. Determine the bidder's bid carbon emission data based on the first carbon emission data and the first bid material data;
[0011] S4. Determine the first evaluation value based on the data in the first bid materials;
[0012] S5. Determine the second evaluation value based on the first carbon emission credit and / or the bid carbon emission data;
[0013] S6. Determine the bid evaluation score corresponding to the bidder based on the first evaluation value and the second evaluation value.
[0014] In some embodiments, the step of determining the bidder's first carbon emission credit based on the tender document information specifically includes:
[0015] S101. Determine the corresponding first project execution information from the information in the bidding documents;
[0016] S102. If it is determined that the carbon account of the bidder is stored in the system processing platform, the historical project execution information that matches the first project execution information is retrieved from the carbon account, and the first carbon emission reduction points are determined based on the carbon emission reduction points corresponding to the historical project execution information.
[0017] S103. If it is determined that the system processing platform stores the bidder's carbon account and no historical project execution information matching the first project execution information can be found in the carbon account, the first point setting value shall be used as the first carbon emission reduction point.
[0018] S104. If it is determined that the system processing platform does not store the bidder's carbon account, the second credit setting value shall be used as the first carbon emission reduction credit.
[0019] Wherein, the first integral setting value is greater than or equal to the second integral setting value.
[0020] In some embodiments, the first carbon emission data includes carbon emission factors for document printing, transportation, and / or hotel accommodation; step S3 includes:
[0021] S301. Determine the carbon emissions from document printing, transportation, and / or hotel accommodation based on the first carbon emission data and the first tender material data.
[0022] The carbon emissions from document printing are determined based on the document printing carbon emission factor and the total weight of the document printed; the carbon emissions from transportation are determined based on the transportation carbon emission factor and the travel distance; and the carbon emissions from hotel accommodation are determined based on the hotel accommodation carbon emission factor and the number of nights stayed. The total weight of the document printed, the travel distance, and / or the number of nights stayed are determined based on the data from the first tender materials.
[0023] S302. Determine the bidder's bid carbon emission data based on the carbon emissions from document printing, transportation, and / or hotel accommodation.
[0024] The carbon emission data in the bid is inversely proportional to the second evaluation value.
[0025] In some embodiments, step S5 specifically includes:
[0026] S501. Determine the carbon emission score for the bid based on the carbon emission data submitted.
[0027] S502. Determine the second evaluation value based on the first carbon emission credit and the bid carbon emission score;
[0028] Among them, both the first carbon emission credit and the bid carbon emission score are directly proportional to the second evaluation value.
[0029] In some embodiments, the carbon emission factors for hotel accommodation include electricity carbon emission factors, thermal energy carbon emission factors, and waste treatment carbon emission factors. The carbon emissions from hotel accommodation are calculated through the following steps:
[0030] S3011. The first carbon emission amount of electricity is determined based on the carbon emission factor of electricity, the number of nights of accommodation, and the electricity consumption.
[0031] S3012. The first thermal energy carbon emission amount is determined based on the thermal energy carbon emission factor, the number of nights of accommodation, and the thermal energy consumption.
[0032] S3013. The first carbon emission amount of waste treatment is determined based on the carbon emission factor of waste treatment, the number of nights of accommodation, and the amount of waste.
[0033] S3014. The carbon emissions of hotel accommodation are determined based on the carbon emissions of the first electricity generation, the carbon emissions of the first thermal energy generation, and the carbon emissions of the first waste treatment.
[0034] In some embodiments, the carbon emissions from transportation are calculated using the following steps:
[0035] S3015. Based on the mode of transportation used, obtain the corresponding carbon emission factor for transportation.
[0036] S3016. Obtain the travel distance for each mode of transportation used;
[0037] S3017. Based on the carbon emission factor of each mode of transportation and the distance traveled, the carbon emission of transportation is determined.
[0038] In some embodiments, the carbon emissions from printing the document are calculated using the following steps:
[0039] S3018. Determine the number of copies of the document to be printed based on the information in the tender document;
[0040] S3019. Determine the number of pages in each document based on the data from the first tender document;
[0041] S3020. Determine the total number of pages to be printed based on the number of copies and the number of pages in the document;
[0042] S3021. Determine the total printing weight of the document based on the total number of pages and the weight of each page;
[0043] S3022. The carbon emission amount of document printing is determined based on the document printing carbon emission factor and the total weight of the document printing.
[0044] In some embodiments, the processor can also be used to load a program to perform the following steps:
[0045] S7. Determine the tenderer's second carbon emissions by combining the information in the tender documents and the data in the first bid materials;
[0046] S8. If the second carbon emission of the bidding party exceeds the carbon emission set value, the corresponding carbon emission reduction strategy will be displayed.
[0047] In some embodiments, the second carbon emission amount of the bidding party is determined based on second carbon emission data, which includes carbon emission factors for document printing, transportation, hotel accommodation, and meetings.
[0048] Secondly, embodiments of this application provide a method for compiling and processing carbon emission inventory data, the method comprising the following steps:
[0049] S1. Obtain the tender document information, and determine the required carbon emission calculation data type and / or the bidder's first carbon emission credit based on the tender document information; wherein, the carbon emission calculation data type includes at least document printing data type, transportation data type and / or hotel accommodation data type;
[0050] S2. Based on the required carbon emission calculation data type, obtain the corresponding first carbon emission data through the second data interface;
[0051] S3. Determine the bidder's bid carbon emission data based on the first carbon emission data and the first bid material data; wherein, the first bid material data is obtained through the first data interface;
[0052] S4. Determine the first evaluation value based on the data in the first bid materials;
[0053] S5. Determine the second evaluation value based on the first carbon emission credit and / or the bid carbon emission data;
[0054] S6. Determine the bid evaluation score corresponding to the bidder based on the first evaluation value and the second evaluation value.
[0055] This application can achieve at least one of the following technical effects: The solution of this application is provided with a first data interface for obtaining first bid material data and a second data interface for obtaining first carbon emission data. Then, the system processing platform can determine a first evaluation value based on the first bid material data, and after obtaining the bidding document information, determine the required carbon emission calculation data type and / or the bidder's first carbon emission score based on the bidding document information. The carbon emission calculation data type includes at least document printing data type, transportation data type and / or hotel accommodation data type. Then, based on the required carbon emission calculation data type, the corresponding first carbon emission data is obtained through the second data interface. After determining the bidder's bid carbon emission data based on the first carbon emission data and the first bid material data, a second evaluation value is determined based on the first carbon emission score and / or the bid carbon emission data. Finally, based on the first evaluation value and the second evaluation value, the bidder's corresponding bid evaluation score is determined. As can be seen, by using the solution of this application, the first evaluation value can be determined after identifying and processing the first bid material data. Furthermore, the corresponding first carbon emission data can be obtained through the second data interface based on the information in the bidding documents, so as to determine the bidder's bid carbon emission data. Combined with the first carbon emission score, the bidder's corresponding evaluation value in terms of carbon emissions can be obtained. In this way, using the first evaluation value and the second evaluation value as the bidder's bid evaluation score not only provides a more comprehensive evaluation factor, but also allows the company's carbon emission situation to be used as one of the evaluation criteria for the bid. This can help the winning bidder achieve a certain carbon emission reduction effect when executing the project, and facilitate the promotion and implementation of carbon emission reduction policies in enterprises. In addition, the system of this solution can realize the automated acquisition, compilation and processing of bid data and carbon emission data, which can reduce the workload of staff and greatly improve work efficiency. Attached Figure Description
[0056] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below.
[0057] Figure 1 This application provides a first structural schematic diagram of a system for compiling and processing carbon emission inventory data, as an embodiment of the present application.
[0058] Figure 2 This application provides a flowchart illustrating the steps of a method for compiling and processing carbon emission inventory data.
[0059] Figure 3 A flowchart illustrating the specific processing steps for determining the first carbon emission credit of the bidder is provided for embodiments of this application.
[0060] Figure 4 This application provides a second structural schematic diagram of a system for compiling and processing carbon emission inventory data. Detailed Implementation
[0061] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0062] Carbon emissions pose a serious threat to the environment, significantly impacting people's lives. Therefore, improvements and enhancements are needed in technology, economics, and policy to achieve carbon neutrality. To achieve this, companies across all sectors need to formulate and implement relevant carbon reduction actions. It is evident that in the current context, the carbon emissions of a company and its delivered projects / products can serve as a crucial evaluation factor. However, current bidding and tendering activities do not consider this factor, which not only hinders the promotion and implementation of carbon reduction concepts and actions within companies / projects but may also lead to subsequent projects failing to achieve carbon neutrality or even generating more carbon emissions. Furthermore, current electronic bidding and tendering systems primarily only handle the filling out, uploading, and publicizing of bidding and tendering materials, offering limited functionality and lacking automated processing of bidding / tendering materials and carbon emission data. This results in a large manual workload and low efficiency in the bidding and tendering process. In view of this, the embodiments of this application provide a processing scheme for the compilation of carbon emission inventory data, which can automate the processing of bidding / tender materials and carbon emission data, improve work efficiency, and further enable enterprises to receive positive feedback on carbon emission reduction concepts and actions.
[0063] Reference Figure 1 A system for compiling and processing carbon emission inventory data is disclosed. The system includes a first data interface, a second data interface, and a system processing platform, wherein the first data interface and the second data interface are configured on the system processing platform. The first data interface, the second data interface, and the system processing platform are described in detail below.
[0064] The first data interface is used to acquire the first batch of bidding material data. Specifically, this interface is primarily open to bidders, allowing them to manipulate bidding material data. This manipulation includes filling in, adding, deleting, and selecting data, enabling bidders to input the required bidding materials according to the tender requirements. After confirmation, they can submit their bidding material data by clicking the "Confirm" button. Alternatively, this first batch of bidding material data can be obtained by scanning the printed bid document electronically, uploading the scanned copy, and then performing content recognition (such as text, images, tables, etc.) on the scanned document. The technology for content recognition of the scanned document can employ OCR (Optical Character Recognition), image recognition, or other existing technologies, which will not be elaborated upon here.
[0065] As can be seen, the aforementioned first bidding material data can be obtained by inputting data through a form set on a webpage / APP, and / or by content recognition of the electronic scanned bid document. In this embodiment, to ensure the completeness of the bidding materials and facilitate the organization and input of materials by the bidder, the bidding material data can include the above two types of data acquisition channels. The set form is used to provide the bidder with basic bidding information, such as company name, address, size, summary of historical project information, supporting documents, etc., while the electronic scanned bid document is a complete set of bidding materials compiled and summarized by the bidder according to the bidding requirements, and its content can fully and completely reflect the bidder's qualifications.
[0066] Furthermore, the aforementioned first data interface can also be made available to the bidding party and the reviewing party, allowing them to upload, download, share, and modify bidding and tendering materials. To ensure the confidentiality of the materials and the security of the operations, different verification permissions need to be set for different operations on different user terminals. This prevents the leakage and / or unauthorized alteration of core business information. Of course, the data interfaces provided to the bidding party and the reviewing party can also be different from the first data interface; this can be set according to actual needs, and no special restrictions are imposed here.
[0067] The second data interface is primarily used to acquire the first carbon emission data. Specifically, the first carbon emission data mainly refers to data related to carbon emission calculations, which primarily includes a carbon emission factor. This carbon emission factor refers to the greenhouse gas emissions generated per unit of energy consumption. In this embodiment, given the high proportion of carbon dioxide among greenhouse gases, this carbon emission factor can specifically refer to the carbon dioxide emissions generated per unit of energy consumption.
[0068] Furthermore, since the carbon emission factors are primarily determined by professional third-party organizations, the second data interface in this embodiment is a third-party interface. It mainly communicates with the database of the third-party organization (used to store various types of carbon emission data, such as the aforementioned carbon emission factors and daily usage) to enable the querying and retrieval of the required carbon emission data. As can be seen, by setting up the aforementioned second data interface, carbon emission data corresponding to each enterprise / location can be queried and retrieved in real time after passing security verification. This not only improves data acquisition efficiency but also ensures the real-time accuracy of subsequent bidding evaluation values.
[0069] The system processing platform includes at least one processor for loading programs to execute a methodological step for compiling carbon emission inventory data. This system processing platform is implemented using a SaaS platform architecture.
[0070] Reference Figure 2 The present application provides a method for compiling and processing carbon emission inventory data, which may specifically include the following steps.
[0071] S1. Obtain the tender document information, and determine the required carbon emission calculation data type and / or the bidder's first carbon emission credit based on the tender document information; wherein, the required carbon emission calculation data is the required carbon emission list, and the corresponding carbon emission data can be obtained subsequently based on this list. In this embodiment, the carbon emission calculation data type includes at least document printing data type, transportation data type, and / or hotel accommodation data type.
[0072] Specifically, the tender document information may include the following: 1. Basic tender information, including the tendering entity, nature of the tender, project overview, sub-bid details, main quantities of work, schedule requirements, services to be provided by the contractor to complete the project, time, place and price for issuing tender documents, place, number and deadline for submitting tender documents, amount and time for submitting bid security, time and place of bid opening, and time and place for site visit and pre-bid meeting; 2. Instructions to bidders, documents to guide bidders on how to correctly submit bids, including a brief description of the project or engineering, source of funds, contracting method, qualification requirements, time, place and relevant matters for site visit and pre-bid meeting to answer questions, all costs incurred by the bidder in preparing and submitting tender documents, precautions for filling out tender documents, address and deadline for submitting tender documents, precautions for modification and withdrawal, procedures for bid opening, evaluation and award; 3. Technical specifications, including the performance and standards (such as internationally or domestically recognized standards) of the equipment / materials required for the project or engineering. Of course, the information in the tender documents may also include other information, which will not be listed here.
[0073] The first carbon emission credit is primarily derived from the bidder's carbon reduction activities. For example, optimizing facilities and equipment to reduce energy consumption and thus carbon emissions, or optimizing construction / management processes to reduce overall energy consumption and carbon emissions during project execution. Therefore, the carbon emission credit is directly proportional to the amount of carbon emission reduction (referred to as carbon reduction amount); the greater the carbon reduction, the more carbon emission credits are earned. How to detect different carbon reduction activities (including equipment itself, various processes such as construction, management, and preparation processes) to determine their carbon reduction amount and corresponding carbon emission credits is handled according to existing pre-defined regulations and will not be elaborated here. This carbon emission credit can characterize the company's carbon reduction capabilities. Furthermore, if the company's carbon reduction activities are part of any execution stage of the bidding project, it further ensures that the company can achieve emission reduction effects when subsequently implementing the project.
[0074] In addition, the carbon emission credits corresponding to different carbon reduction behaviors of different enterprises are stored on the system processing platform. This facilitates the quick querying and use of this data, and also facilitates the subsequent rapid assessment and reward of the carbon emission credits of different enterprises (such as certificate rewards, prize rewards, etc.), thereby promoting the implementation and execution of carbon reduction concepts and policies in enterprises.
[0075] The required carbon emission calculation data type is determined based on the information in the bidding documents and is mainly used to characterize the type of carbon emissions generated by the company during the bidding process. For example, if the bidding documents indicate that printed documents are required for this bidding process, then the carbon emissions generated by printing documents need to be calculated. If the bidding documents indicate that personnel travel is required for this bidding process, such as the bidder needing to deliver paper bids to the corresponding address for submission / stamping, or needing to attend meetings at designated locations, then the carbon emissions from personnel transportation need to be calculated. If the bidding documents indicate that there are accommodation requirements for this bidding process, and / or the distance between the bidder's address and the location where the bidding activity takes place, and / or the duration of the activity, it can be determined whether the bidder has accommodation requirements. If so, then the carbon emissions generated by hotel accommodation need to be calculated. It is evident that using this dimension as one of the evaluation factors for bidders in the bidding process can help determine that the bidders produced less carbon emissions during the bidding process, thereby enabling the overall bidding activity to achieve carbon reduction.
[0076] S2. Based on the required carbon emission calculation data type, obtain the corresponding first carbon emission data through the second data interface.
[0077] Specifically, the first carbon emission data includes at least carbon emission factors. Therefore, based on the carbon emission calculation data type determined above, the corresponding carbon emission factors can be obtained through the second data interface, such as carbon emission factors for document printing, carbon emission factors for personnel transportation, and / or carbon emission factors for accommodation, for subsequent calculation of the corresponding type of carbon emissions.
[0078] S3. Determine the bidder's bid carbon emission data based on the first carbon emission data and the first bid material data. The first bid material data mainly refers to the bid materials submitted by the bidder, which includes text, graphics, and other types of data, and its content information includes, but is not limited to, the bidder's company name, address, relevant information on historical projects / engineering, honors obtained, and price quotation; the bid carbon emission data mainly refers to the total carbon emissions generated by the bidder during the bidding process.
[0079] Specifically, regarding document printing, the carbon emissions are determined primarily by the quantity of bidding materials to be printed and the corresponding carbon emission factor. More content in the bidding materials requires more paper, resulting in higher carbon emissions. For transportation, the travel distance is determined based on the bidder's address listed in the bidding materials and the various locations where the bidding activities take place. The carbon emissions are then determined based on this distance and the corresponding carbon emission factor. A longer travel distance results in higher carbon emissions; therefore, under the same conditions, bidders with shorter travel distances achieve better carbon reduction for the overall activity. Similarly, for accommodation, assuming accommodation needs are identified, the required accommodation duration is determined based on the distance between the bidder's address and the locations where the bidding activities take place, and / or the duration of the activities. The carbon emissions are then determined based on this duration and the corresponding carbon emission factor. A longer accommodation duration results in higher carbon emissions.
[0080] S4. Determine the first evaluation value based on the data in the first bid materials.
[0081] Specifically, since the bidding materials submitted by the bidders include information such as the company's size, historical projects / engineering information, honors received, and quotations, the sub-evaluation values of different important dimensions can be determined by identifying the information and following a preset model. For example, the first sub-evaluation value a of the technical dimension, the second sub-evaluation value b of the size dimension, and the third sub-evaluation value c of the business (economic) dimension. Specifically, the determination of sub-evaluation values for different dimensions can be achieved as follows: First, obtain the bidder's company size information from the bidding materials. Then, extract corresponding size characteristic information from this information, such as total number of employees, educational background ratio, and the proportion of technical personnel at different levels. This forms an input information matrix, which is then input into a pre-trained first training model for processing to obtain the corresponding evaluation value. The first training model is trained using historical company size information and historical evaluation values. Similarly, for the technical and economic dimensions, obtain corresponding technical characteristics (such as the quality, duration, and equipment used in historical projects / engineering) and economic characteristics (such as pricing and acceptable payment methods) from the bidding materials. These are then input into the corresponding training models for processing to obtain the corresponding evaluation values. Therefore, step S4 can be specifically defined as follows: After determining the first important characteristic information (i.e., important characteristic information for different dimensions) from the first bidding material data, input the first important characteristic information into the pre-trained first evaluation model for processing to output the corresponding important sub-evaluation values. Then, determine the first evaluation value based on the important sub-evaluation values.
[0082] Furthermore, when the important sub-evaluation value includes the first sub-evaluation value a, the second sub-evaluation value b, and the third sub-evaluation value c, the first evaluation value can be determined as follows: the first sub-evaluation value a, the second sub-evaluation value b, and the third sub-evaluation value c are summed, and the sum is taken as the first evaluation value. That is, the sum of several important sub-evaluation values is taken as the first evaluation value. Alternatively, the importance of these three sub-evaluation values may differ in different bidding projects / engineering projects. For example, in some bidding projects / engineering projects, the technical dimension is more important, so the weight coefficient k1 of the sub-evaluation value a is larger. In other bidding projects / engineering projects, the economic dimension is more important, so the weight coefficient k3 of the sub-evaluation value c is larger. Therefore, the method for determining the first evaluation value can be: calculate the product between each important sub-evaluation value and its corresponding weight coefficient, then sum the resulting products, and take the sum as the first evaluation value V1, i.e., V1 = a*k1 + b*k2 + c*k3, where k1, k2, and k3 are the weight coefficients corresponding to a, b, and c, respectively. Their specific values can be set according to actual needs, and this embodiment does not impose specific limitations.
[0083] S5. Determine the second evaluation value based on the first carbon emission credit and / or the bid carbon emission data. The bid carbon emission data is primarily used to determine the bid carbon emission score corresponding to the bidding company. This carbon emission score is inversely proportional to the bid carbon emission data; the higher the bid carbon emission data value, the lower the corresponding carbon emission score.
[0084] Specifically, when only the first carbon emission credit d exists, then the first carbon emission credit d is used as the second evaluation value; when only the bid carbon emission score e corresponding to the bid carbon emission data exists, then the bid carbon emission score e is used as the second evaluation value; when both the first carbon emission credit d and the bid carbon emission score e exist, then the final required second evaluation value is determined based on them.
[0085] Furthermore, following the aforementioned discussion regarding the varying importance of different dimensions, step S5 may specifically include: after determining the fourth evaluation value based on the first carbon emission credit and / or the bid carbon emission data, determining the second evaluation value V2 based on the fourth evaluation value and its corresponding weighting coefficient, i.e., V2 = fourth evaluation value * k4, where, in this embodiment, the value of k4 is less than the minimum value among k1, k2, and k3. For example, if the minimum value among k1, k2, and k3 is k2, then the value of k4 should be less than k2.
[0086] S6. Determine the bid evaluation score for each bidder based on the first and second evaluation values. Both the first and second evaluation values are directly proportional to the bid evaluation score.
[0087] Specifically, in this embodiment, the sum of the first evaluation value and the second evaluation value can be used as the bid evaluation score for the bidder. Of course, other preset calculation methods can also be used to determine how to use the calculation result between the first evaluation value and the second evaluation value as the final bid evaluation score, and no specific limitation is made here.
[0088] As can be seen from the above, by using the proposed solution, bidding materials and tender documents can be automatically identified and processed to determine a first evaluation value. Furthermore, a carbon emission inventory can be obtained from the processing results, allowing for the calculation of a second evaluation value based on the corresponding carbon emission data. Finally, the bidder's evaluation score is derived from both the first and second evaluation values. This significantly reduces the workload of bidding and tender review, greatly improves processing efficiency, and facilitates horizontal comparisons of scores from multiple bidding companies by evaluators, enabling subsequent evaluations across different dimensions as needed. Moreover, the addition of carbon emissions as a consideration in the evaluation process not only makes the evaluation factors more comprehensive, making it easier for subsequent projects / engineering to achieve carbon reduction effects, but also promotes the widespread adoption and implementation of carbon reduction concepts and policies within enterprises.
[0089] In some embodiments, refer to Figure 3 The step of determining the bidder's first carbon emission credit based on the information in the tender documents may specifically include the following steps.
[0090] S101. Determine the corresponding first project execution information from the tender document information. This first project execution information may include, but is not limited to, the project duration, required equipment, required implementation procedures, and the number of personnel required. In other words, the first project execution information can be a first project feature matrix.
[0091] S102. If it is determined that the carbon account of the bidder is stored in the system processing platform, the historical project execution information that matches the first project execution information is retrieved from the carbon account, and the first carbon emission reduction points are determined based on the carbon emission reduction points corresponding to the historical project execution information.
[0092] Specifically, the carbon account of a bidder mainly stores information on its various carbon reduction behaviors and their corresponding carbon reduction credits. Therefore, by extracting the corresponding first feature from the carbon reduction behavior information and then calculating the similarity between the extracted first feature and the first project feature, the historical project execution information that best matches (i.e., has the highest similarity) can be obtained. The specific steps for calculating the similarity are as follows: A project information input matrix is constructed using the first project feature and the extracted first feature. This matrix is then input into a project information training model for processing to obtain the similarity coefficient. Based on the first feature corresponding to the maximum similarity, the historical project execution information with the highest matching degree is determined. Thus, the first carbon reduction credit can be determined based on the carbon reduction credits corresponding to the historical project execution information. Furthermore, in some embodiments, since different project characteristic factors can be divided in the project engineering, such as equipment, preparation / construction processes, etc., if the bidder's carbon account has carbon emission reduction behavior that best matches the equipment optimization aspect in the first project execution information, then it will be used as the first carbon emission reduction score. If the bidder's carbon account also has carbon emission reduction behavior that best matches the construction process optimization aspect in the first project execution information, then the carbon emission reduction scores corresponding to the aforementioned carbon emission reduction behaviors involving equipment and construction processes will be used to jointly determine the first carbon emission reduction score.
[0093] S103. If it is determined that the system processing platform stores the bidder's carbon account and no historical project execution information matching the first project execution information can be found in the carbon account, the first point setting value shall be used as the first carbon emission reduction point.
[0094] Specifically, if the system processing platform identifies a bidder's carbon account and the carbon account contains carbon reduction activities and their corresponding carbon reduction credits, it indicates that the bidder has the ability to achieve carbon reduction and that the company is implementing the corresponding carbon reduction policies. In this case, even if the carbon account does not contain historical project execution information that matches the first project execution information, the first credit setting value can still be used as the first carbon reduction credit. Here, the first carbon emission reduction score can be an empirical value; or it can be determined by obtaining the second carbon emission reduction score of other bidders, where other bidders refer to bidders other than oneself, such as a total of 1 to n bidders. In the process of determining the carbon emission reduction score for bidder 1, other bidders refer to bidders 2 to n. The second carbon emission reduction score refers to the carbon emission score determined for other bidders when the system processing platform stores the bidder's carbon account and finds historical project execution information that matches the first project execution information from the carbon account. That is, the second carbon emission reduction score of the 2 to nth bidder is obtained. This score refers to the carbon emission score obtained by the bidder when the carbon account contains matching historical project information. In this case, the value of the first carbon emission reduction score is set to be less than the minimum value among several second carbon emission reduction scores, so as to ensure the reasonable accuracy of the evaluation. Of course, depending on the requirements of certain project / engineering tenders, the carbon emission credits in this case should be 0. In this case, the tendering staff can modify the acquisition mode of the first credit setting value through the modification operation page provided in the background, changing it from dynamic acquisition mode to static acquisition mode, and then setting the first credit setting value to a fixed value of 0.
[0095] S104. If it is determined that the system processing platform does not store the bidder's carbon account, the second credit setting value shall be used as the first carbon emission reduction credit, wherein the first credit setting value is greater than or equal to the second credit setting value.
[0096] Specifically, if a bidder does not have a corresponding carbon account in the system processing platform, it indicates that they do not have the corresponding carbon reduction behavior. This means that the bidding company does not have carbon reduction behaviors that meet the testing and certification requirements, and indirectly reflects that the bidder does not have the ability to make the project achieve carbon reduction effects. Therefore, the second score setting value for this bidder should be less than the first score setting value mentioned above. Of course, the second score setting value can also be directly assigned to 0.
[0097] It is evident that by employing the above-described implementation method to determine the first carbon emission credit corresponding to the bidder, the accuracy and rationality of the subsequent evaluation and review results can be improved.
[0098] In some embodiments, the first carbon emission data includes carbon emission factors for document printing, transportation, and / or hotel accommodation; therefore, step S3 may specifically include the following sub-steps.
[0099] S301. Determine the carbon emissions from document printing, transportation, and / or hotel accommodation based on the first carbon emission data and the first tender material data.
[0100] The carbon emissions from document printing are determined based on the document printing carbon emission factor and the total weight of the document printed; the carbon emissions from transportation are determined based on the transportation carbon emission factor and the travel distance; and the carbon emissions from hotel accommodation are determined based on the hotel accommodation carbon emission factor and the number of nights stayed. The total weight of the document printed, the travel distance, and / or the number of nights stayed are determined based on the data from the first tender materials and / or the information in the tender documents.
[0101] Specifically, the total weight of the printed documents is determined based on the quantity of paper to be printed and the weight of each sheet. Furthermore, different paper types (such as size, thickness, and quality) have different weights. Therefore, by inspecting the paper of each tender document, the paper type can be determined, and its corresponding unit weight can be obtained. Finally, the total weight of the printed documents is determined based on the number of sheets of different paper types and their corresponding unit weight (grams / sheet or kilograms / sheet). Regarding travel distance, this can include the distance between the bidder's address and the various locations where the bidding activities are conducted, or the distance between the hotel accommodation and the various locations where the bidding activities are conducted during business trips. For the number of accommodation days, if a staff member's accommodation time is less than one day, the corresponding number of days can be calculated based on the actual duration of the accommodation. For example, if the actual duration is 57 hours, then it can be calculated as 2.375 days.
[0102] S302. Determine the bidder's bid carbon emission data based on the carbon emissions from document printing, transportation, and / or hotel accommodation; wherein the bid carbon emission data is inversely proportional to the second evaluation value.
[0103] Specifically, when carbon emissions from document printing, transportation, and hotel accommodation are all stored simultaneously, the sum of these emissions is used as the final carbon emission data for the bid.
[0104] It is evident that by adopting the above-described implementation method to obtain and determine the carbon emission data for bidding, the accuracy of the data results can be improved. Moreover, by calculating the carbon emissions generated by the bidders during the bidding process from three dimensions, the calculation results are more comprehensive and have greater auxiliary evaluation value.
[0105] In some embodiments, step S5 may specifically include the following steps.
[0106] S501. Determine the carbon emission score for the bid based on the carbon emission data of the bid.
[0107] Specifically, the carbon emission data in the bidding refers to the amount of carbon emissions generated by the bidding company in its bidding activities. The larger the amount of carbon emissions, the smaller the corresponding carbon emission score in the bidding, meaning that there is an inverse relationship between the carbon emission data in the bidding and the carbon emission score in the bidding.
[0108] S502. A second evaluation value is determined based on the first carbon emission credit and the bid carbon emission score; wherein the first carbon emission credit and the bid carbon emission score are both directly proportional to the second evaluation value.
[0109] Specifically, step S502 may include: summing the first carbon emission credit and the bid carbon emission score, and then determining the second evaluation value based on the summation result. For example, the summation result can be directly used as the fourth evaluation value. Alternatively, step S502 may include: S5021, calculating the first product between the first carbon emission credit and its corresponding first weighting coefficient; S5022, calculating the second product between the bid carbon emission score and its corresponding second weighting coefficient; S5023, summing the first and second product results, and then determining the second evaluation value based on the summation result. For example, the second evaluation value V2 = the fourth evaluation value * k4, and the fourth evaluation value V3 = k5 * the first carbon emission credit d + k6 * the bid carbon emission score e, where k5 is the first weighting coefficient, k6 is the second weighting coefficient, and considering that the carbon emission credit is more important than the bid carbon emission score, the value of k5 is greater than k6. It is evident that determining the final required second evaluation value in this way is more accurate and reasonable.
[0110] In some embodiments, the hotel accommodation carbon emission factor includes an electricity carbon emission factor, a thermal energy carbon emission factor, and a waste treatment carbon emission factor, and the hotel accommodation carbon emissions are calculated through the following steps.
[0111] S3011. The first carbon emission amount of electricity is determined based on the carbon emission factor of electricity, the number of nights of accommodation, and the amount of electricity consumed.
[0112] Specifically, the first electricity carbon emissions C e= Carbon Emission Factor for Electricity * Number of Nights Stayed * Electricity Consumption, where the carbon emission factor for electricity is measured in kgCO2 / kWh, the number of nights stayed refers to the number of nights a person stays during a business trip (in days), and electricity consumption refers to the average electricity consumption per night for a person staying in a hotel (in kWh / day). Therefore, this formula can determine the carbon emissions from electricity generated by a single person staying during a business trip. By considering the actual number of people traveling and the number of nights stayed, the total carbon emissions from electricity can be determined.
[0113] S3012. The first thermal carbon emission amount is determined based on the thermal carbon emission factor, the number of nights of accommodation, and the thermal energy consumption.
[0114] Specifically, given the varying weather and climate conditions, heating and warming situations may arise, necessitating the calculation of carbon emissions generated from heat energy consumption. In this embodiment, the first heat energy carbon emission C... r = Heat energy consumption * number of nights * heat energy carbon emission factor; where the unit of heat energy carbon emission factor is kgCO2 / GJ, and the unit of heat energy consumption is GJ / day, which represents the daily heat energy consumption. GJ represents gigajoules.
[0115] S3013. The first carbon emission amount of waste treatment is determined based on the carbon emission factor of waste treatment, the number of days of accommodation, and the amount of waste.
[0116] Specifically, in addition to the aforementioned electricity and heat, the waste generated during the stay will also produce corresponding carbon emissions during the treatment process (such as incineration or landfill). In this embodiment, the carbon emissions C from the first waste treatment... u = Waste volume * Number of nights of accommodation * Waste treatment carbon emission factor, where the unit of waste treatment carbon emission factor is kgCO2 / kg, and the unit of waste volume is kg / day, representing the weight of waste treated each day.
[0117] It should also be noted that the electricity consumption, heat energy consumption, and waste volume mentioned above can all be obtained in real time from the hotel's corresponding enterprise after verification and authorization.
[0118] S3014. The carbon emissions of hotel accommodation are determined based on the carbon emissions of the first electricity generation, the carbon emissions of the first thermal energy generation, and the carbon emissions of the first waste treatment.
[0119] Specifically, in this embodiment, the carbon emissions from hotel accommodation are the sum of the first carbon emissions from electricity generation, the first carbon emissions from thermal energy generation, and the first carbon emissions from waste disposal, i.e., hotel accommodation carbon emissions = C e +C r +C u .
[0120] Furthermore, in addition to the carbon emissions mentioned above as direct emissions, there are also indirect carbon emissions, such as carbon emissions generated from water resource treatment. Therefore, a step S3000 is provided before step S3014. Step S3000 specifically involves determining the first water treatment carbon emission C based on the water treatment carbon emission factor, the number of nights of accommodation, and water consumption. w .
[0121] Among them, C w = Water treatment carbon emission factor * number of nights of stay * water consumption. The unit of water treatment carbon emission factor is kgCO2 / L, which represents the carbon emission generated per liter of water treated. The unit of water consumption is L / day, which represents the number of liters of water treated per day. In this case, for the above step S3014, it specifically means: determining the hotel accommodation carbon emission based on the first electricity carbon emission, the first thermal energy carbon emission, the first waste treatment carbon emission, and the first water treatment carbon emission, that is, hotel accommodation carbon emission = C e +C r +C u +C w Therefore, determining the total carbon emissions generated by each person during a certain number of days of accommodation using the above method provides a more accurate and comprehensive picture of carbon emissions. This not only helps bidders understand the carbon emissions they will generate from accommodation during their participation in the bidding process, but also allows the bidding party to review the location, duration, and frequency of the activity, thereby determining whether optimizations or adjustments are needed to the bidding process and other related information to maximize the overall carbon reduction effect.
[0122] In some embodiments, the carbon emissions from transportation are calculated using the following steps:
[0123] S3015. Based on the mode of transportation used, obtain the corresponding carbon emission factor for transportation.
[0124] S3016. Obtain the travel distance for each mode of transportation used;
[0125] S3017. Based on the carbon emission factor of each mode of transportation and the distance traveled, the carbon emission of transportation is determined.
[0126] Specifically, in this embodiment, carbon emissions from transportation... Among them, F i Let D represent the carbon emission factor for the i-th mode of transportation, expressed in kgCO2 / km, which represents the carbon emissions generated per kilometer traveled; iLet represent the travel distance corresponding to the i-th mode of transportation, in km; n represents the total number of modes of transportation used. It is evident that by classifying the modes of transportation used for business trips and commuting, and by calculating the carbon emission factors and corresponding travel distances for different types of transportation, the carbon emissions generated on different travel segments can be determined. Summing these values yields the total carbon emissions for the entire trip, resulting in a more accurate assessment of carbon emissions.
[0127] In some embodiments, the carbon emissions from printing the document are calculated using the following steps:
[0128] S3018. Determine the number of copies of the document to be printed based on the information in the tender document;
[0129] S3019. Determine the number of pages, i.e. the number of documents, for each document based on the data from the first tender materials;
[0130] S3020. Determine the total number of pages to be printed based on the number of copies and the number of pages in the document;
[0131] S3021. Determine the total printing weight of the document based on the total number of pages and the weight of each page;
[0132] S3022. The carbon emission amount of document printing is determined based on the document printing carbon emission factor and the total weight of the document printing.
[0133] Specifically, in this embodiment, the carbon emissions C from document printing are... p= P*W, where P represents the carbon emission factor of document printing, with the unit being kgCO2 / kg; and W represents the total weight of document printing, with the unit being kg.
[0134] Furthermore, regarding document printing, in addition to the carbon emissions generated by paper, the amount of printing ink used during printing also generates corresponding carbon emissions. Therefore, step S3022 can specifically include: determining the carbon emissions P*W of the printed paper based on the document printing carbon emission factor and the total weight of the document printed; determining the carbon emissions of the printing ink based on the printing ink carbon emission factor and the amount of printing ink used; and finally determining the final document printing carbon emissions C based on the carbon emissions of the printed paper and the carbon emissions of the printing ink. p .
[0135] Specifically, in this embodiment, the carbon emissions C of printing ink y= Printing ink carbon emission factor * printing ink usage, where the printing ink carbon emission factor is in kgCO2 / kg and the printing ink usage is in kg. It is primarily determined based on the average amount of printing ink required per page and the total number of pages in the document. Therefore, in this embodiment, the document printing carbon emission C... p= P*W+C y It is evident that using this method to calculate carbon emissions from document printing yields more accurate and comprehensive results.
[0136] In some embodiments, the processor may also be used to load a program to perform the following steps:
[0137] S7. Determine the tenderer's second carbon emissions by combining the information in the tender documents and the data in the first bid materials.
[0138] Specifically, the second carbon emission figure for the aforementioned bidding party is determined based on second carbon emission data, which includes carbon emission factors for document printing, printing ink, transportation, hotel accommodation, and meetings. In other words, the bidding party's second carbon emission figure includes carbon emissions from document printing, transportation, hotel accommodation, and meetings. The calculation formulas for document printing, transportation, and hotel accommodation carbon emissions are the same as those used for the bidding party's carbon emission figure; only the relevant parameters, such as the number of printed documents, travel distance, and number of accommodation nights, need to be changed to the corresponding parameters for the bidding party. As for the carbon emissions from meetings, they are mainly based on the carbon emissions generated by the electricity used during the meeting; therefore, the carbon emission figure for meetings is C. m = Meeting carbon emission factor * Meeting duration * Meeting electricity consumption, where the unit of meeting carbon emission factor is kgCO2 / kWh, the unit of meeting electricity consumption is kWh / h, which is the average electricity consumption per hour, and the unit of meeting duration is h, which can be determined based on historical bidding and tendering activity information to determine the duration of different types of meetings at different stages.
[0139] S8. If the second carbon emission of the bidding party exceeds the carbon emission set value, the corresponding carbon emission reduction strategy will be displayed.
[0140] Specifically, as described in step S7 above, the second carbon emission amount of the bidding party is determined by carbon emissions from document printing, transportation, hotel accommodation, and meetings. The sum of these emissions is used as the final second carbon emission amount. By comparing the second carbon emission amount, document printing, transportation, hotel accommodation, and meeting emissions with their corresponding carbon emission set values, the overall carbon emission amount of the bidding party and the carbon emission amount of each specific dimension can be identified and judged. This allows it to determine whether they exceed the corresponding warning values. If so, for dimensions exceeding the warning values (such as hotel accommodation and transportation), the corresponding carbon reduction strategy is displayed based on the magnitude of the excess. This allows the bidding party to quickly optimize and adjust its bidding activities to achieve carbon reduction effects.
[0141] Furthermore, the carbon reduction recommendations can be displayed in a labeled manner at the location of the corresponding type of carbon emissions, which facilitates quick review and confirmation by staff.
[0142] Reference Figure 4 A system for compiling and processing carbon emission inventory data, which may specifically include:
[0143] The first acquisition and processing unit is used to acquire tender document information and determine the required carbon emission calculation data type and / or the bidder's first carbon emission credit based on the tender document information; wherein, the carbon emission calculation data type includes at least document printing data type, transportation data type and / or hotel accommodation data type;
[0144] The second acquisition and processing unit is used to obtain the corresponding first carbon emission data through the second data interface according to the required carbon emission calculation data type.
[0145] The first determining processing unit is used to determine the bidder's bid carbon emission data based on the first carbon emission data and the first bid material data.
[0146] The second determination processing unit is used to determine the first evaluation value based on the first bid material data;
[0147] The third determination processing unit is used to determine the second evaluation value based on the first carbon emission credit and / or the bid carbon emission data;
[0148] The fourth processing unit is used to determine the bid evaluation score corresponding to the bidder based on the first evaluation value and the second evaluation value.
[0149] Since the units of this system embodiment correspond one-to-one with the steps of the above method, the beneficial effects of the system in this embodiment are the same as those in the above method embodiment, and will not be described in detail here.
[0150] Furthermore, this application also provides a computer-readable storage medium storing a computer program, which is executed by a processor to implement the steps of the above-described method embodiments. The method herein includes a carbon emission data acquisition method and / or a carbon emission data verification method.
[0151] The number of processors mentioned in the above storage medium embodiments and system embodiments can be at least one, capable of executing at least any of the steps in the above method embodiments. When the number is at least two, the at least two processors can communicate with each other, not limited to wired or wireless communication connections, and the at least one processor can communicate with various smart terminal devices. Furthermore, the processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.
[0152] Finally, it should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.
[0153] Note that the above are merely preferred embodiments and the technical principles employed in this application. Those skilled in the art will understand that this application is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made without departing from the scope of protection of this application. Therefore, although this application has been described in detail through the above embodiments, this application is not limited to the above embodiments, and may include many other equivalent embodiments without departing from the concept of this application, the scope of which is determined by the scope of the appended claims.
Claims
1. A system for compiling and processing carbon emission inventory data, characterized in that, The system includes: The first data interface is used to obtain the first bid material data; The second data interface is used to obtain the first carbon emission data; The system processing platform includes at least one processor for loading programs to perform the following steps: S1. Obtain the tender document information and determine the required carbon emission calculation data type and the bidder's first carbon emission credit based on the tender document information; S2. Based on the required carbon emission calculation data type, obtain the corresponding first carbon emission data through the second data interface; S3. Determine the bidder's bid carbon emission data based on the first carbon emission data and the first bid material data; the first carbon emission data includes document printing carbon emission factors, transportation carbon emission factors and / or hotel accommodation carbon emission factors; S4. Determine the first evaluation value based on the data in the first bid materials; S5. Determine the second evaluation value based on the first carbon emission credit and the bid carbon emission data; Step S5 specifically includes: S501. Determine the bid carbon emission score based on the bid carbon emission data; S502. Determine the second evaluation value based on the first carbon emission credit and the bid carbon emission score; wherein, the second evaluation value = the fourth evaluation value * k4, the fourth evaluation value = k5 * the first carbon emission credit + k6 * the bid carbon emission score, the first carbon emission credit and the bid carbon emission score are both directly proportional to the second evaluation value; k4 is the weighting coefficient corresponding to the fourth evaluation value, k5 is the first weighting coefficient, and k6 is the second weighting coefficient; S6. Determine the bid evaluation score corresponding to the bidder based on the first evaluation value and the second evaluation value; Step S1 includes: S101. Determine the corresponding first project execution information from the information in the bidding documents; S102. If it is determined that the carbon account of the bidder is stored in the system processing platform, the historical project execution information that matches the first project execution information is retrieved from the carbon account, and the first carbon emission credit is determined based on the carbon emission reduction credits corresponding to the historical project execution information. Step S102 specifically includes: the bidder's carbon account stores information on various carbon emission reduction behaviors of the bidder and their corresponding carbon emission reduction points; the first feature is extracted from the carbon emission reduction behavior information; similarity is calculated between the extracted first feature and the first project feature; the historical project execution information with the highest matching degree is determined based on the first feature corresponding to the maximum similarity; and the first carbon emission point is determined based on the carbon emission reduction points corresponding to the historical project execution information with the highest matching degree. The historical project execution information with the highest matching degree contains at least one carbon emission reduction behavior information that best matches the first project execution information. S103. If it is determined that the system processing platform stores the bidder's carbon account and no historical project execution information matching the first project execution information can be found in the carbon account, the first point setting value shall be used as the first carbon emission point. S104. If it is determined that the system processing platform does not store the bidder's carbon account, the second credit setting value shall be used as the first carbon emission credit. Step S3 includes: S301. Determine the carbon emissions from document printing, transportation, and / or hotel accommodation based on the first carbon emission data and the first tender material data; wherein, the carbon emissions from document printing are determined based on the document printing carbon emission factor and the total weight of the printed documents, the carbon emissions from transportation are determined based on the transportation carbon emission factor and the travel distance, and the carbon emissions from hotel accommodation are determined based on the hotel accommodation carbon emission factor and the number of nights stayed; the total weight of the printed documents, the travel distance, and / or the number of nights stayed are determined based on the first tender material data; S302. Determine the bidder's bid carbon emission data based on the carbon emissions from document printing, transportation, and / or hotel accommodation.
2. The system as described in claim 1, characterized in that, The carbon emissions from transportation are calculated using the following steps: S3015. Based on the mode of transportation used, obtain the corresponding carbon emission factor for transportation. S3016. Obtain the travel distance for each mode of transportation used; S3017. Based on the carbon emission factor of each mode of transportation and the distance traveled, the carbon emission of transportation is determined.
3. The system as described in claim 1, characterized in that, The carbon emissions from printing the document were calculated using the following steps: S3018. Determine the number of copies of the document to be printed based on the information in the tender document; S3019. Determine the number of pages in each document based on the data from the first tender document; S3020. Determine the total number of pages to be printed based on the number of copies and the number of pages in the document; S3021. Determine the total printing weight of the document based on the total number of pages and the weight of each page; S3022. The carbon emission amount of document printing is determined based on the document printing carbon emission factor and the total weight of the document printing.
4. The system as described in claim 1, characterized in that, The processor can also be used to load programs to perform the following steps: S7. Determine the tenderer's second carbon emissions by combining the information in the tender documents and the data in the first bid materials; S8. If the second carbon emission of the bidding party exceeds the carbon emission set value, the corresponding carbon emission reduction strategy will be displayed.
5. The system as described in claim 4, characterized in that, The second carbon emission figure of the bidding party is determined based on the second carbon emission data, which includes carbon emission factors for document printing, transportation, hotel accommodation, and meetings.
6. A method for compiling and processing carbon emission inventory data, characterized in that, The method includes the following steps: S1. Obtain the tender document information and determine the required carbon emission calculation data type and the bidder's first carbon emission credit based on the tender document information; S2. Based on the required carbon emission calculation data type, obtain the corresponding first carbon emission data through the second data interface; S3. Determine the bidder's bid carbon emission data based on the first carbon emission data and the first bid material data; wherein, the first bid material data is obtained through the first data interface; the first carbon emission data includes carbon emission factors for document printing, carbon emission factors for transportation, and / or carbon emission factors for hotel accommodation; S4. Determine the first evaluation value based on the data in the first bid materials; S5. Determine the second evaluation value based on the first carbon emission credit and the bid carbon emission data; Step S5 specifically includes: S501. Determine the bid carbon emission score based on the bid carbon emission data; S502. Determine the second evaluation value based on the first carbon emission credit and the bid carbon emission score; wherein, the second evaluation value = the fourth evaluation value * k4, the fourth evaluation value = k5 * the first carbon emission credit + k6 * the bid carbon emission score, the first carbon emission credit and the bid carbon emission score are both directly proportional to the second evaluation value; k4 is the weighting coefficient corresponding to the fourth evaluation value, k5 is the first weighting coefficient, and k6 is the second weighting coefficient; S6. Determine the bid evaluation score corresponding to the bidder based on the first evaluation value and the second evaluation value; Step S1 includes: S101. Determine the corresponding first project execution information from the information in the bidding documents; S102. If it is determined that the carbon account of the bidder is stored in the system processing platform, the historical project execution information that matches the first project execution information is retrieved from the carbon account, and the first carbon emission credit is determined based on the carbon emission reduction credits corresponding to the historical project execution information. Step S102 specifically includes: the bidder's carbon account stores information on various carbon emission reduction behaviors of the bidder and their corresponding carbon emission reduction points; the first feature is extracted from the carbon emission reduction behavior information; similarity is calculated between the extracted first feature and the first project feature; the historical project execution information with the highest matching degree is determined based on the first feature corresponding to the maximum similarity; and the first carbon emission point is determined based on the carbon emission reduction points corresponding to the historical project execution information with the highest matching degree. The historical project execution information with the highest matching degree contains at least one carbon emission reduction behavior information that best matches the first project execution information. S103. If it is determined that the system processing platform stores the bidder's carbon account and no historical project execution information matching the first project execution information can be found in the carbon account, the first point setting value shall be used as the first carbon emission point. S104. If it is determined that the system processing platform does not store the bidder's carbon account, the second credit setting value shall be used as the first carbon emission credit. Step S3 includes: S301. Determine the carbon emissions from document printing, transportation, and / or hotel accommodation based on the first carbon emission data and the first tender material data; wherein, the carbon emissions from document printing are determined based on the document printing carbon emission factor and the total weight of the printed documents, the carbon emissions from transportation are determined based on the transportation carbon emission factor and the travel distance, and the carbon emissions from hotel accommodation are determined based on the hotel accommodation carbon emission factor and the number of nights stayed; the total weight of the printed documents, the travel distance, and / or the number of nights stayed are determined based on the first tender material data; S302. Determine the bidder's bid carbon emission data based on the carbon emissions from document printing, transportation, and / or hotel accommodation.
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