Carbon emission data error correction method and system

Abstract

The invention discloses a carbon emission data error correction system and method, the system of the scheme comprises a first data interface, a second data interface and a system processing platform, and the platform can be used for loading a program to execute the following steps: obtaining a travel road section and a travel time period from traffic travel information; determining environment data according to the travel time period and the travel road section; dividing the travel road section according to the environmental data to obtain a plurality of travel sub-road sections, and then obtaining a corresponding first traffic travel carbon emission factor; acquiring a first adjustment coefficient according to the environment data and the vehicle type corresponding to the travel sub-road section; adjusting the first traffic travel carbon emission factor by using the first adjustment coefficient to obtain a second traffic travel carbon emission factor; and determining the total carbon emission of the transportation according to the second carbon emission factor of the transportation and the distance. By using the scheme of the invention, the accuracy of the total carbon emission of the transportation of the target object can be improved, so that the review result of bidding and tendering is more accurate and more comprehensive.

Description

Technical Field

[0001] The present invention relates to a carbon emission data processing technology, and in particular to a carbon emission data error correction method and system. Background Art

[0002] In order to make the evaluation of bidders more comprehensive in the bidding review, and to enable the bidding activities to achieve the effect of carbon emission reduction and actively respond to the carbon neutrality policy, the carbon emission situation score is introduced in the evaluation dimension of bidders, so as to improve the comprehensiveness, accuracy and rationality of the bidding review results. For the carbon emission situation score, it includes the bid carbon emission score corresponding to the bid carbon emission data of the bidder, and the bid carbon emission data mainly refers to the carbon emissions generated by the bidder in the bidding process. The larger the carbon emissions, the lower the corresponding bid carbon emission score.

[0003] The above-mentioned bidding carbon emission data includes the bidder's transportation carbon emissions. Generally, transportation carbon emissions are mainly determined based on transportation carbon emission factors and corresponding activity data, and the carbon emission factors are generally fixed during the calculation process. However, due to different environmental factors, the carbon emissions of different types of vehicles will be different. For example, if the ambient temperature is low and the vehicle needs heating, the energy consumption of the vehicle will be different. It can be seen that the traditional detection and calculation method of transportation carbon emissions will make the detection and calculation results inaccurate. Summary of the invention

[0004] The present application aims to solve at least one of the technical problems existing in the prior art. To this end, the present application proposes a carbon emission data error correction method and system, which can improve the accuracy of the detection and calculation results of carbon emissions.

[0005] In a first aspect, an embodiment of the present application provides a carbon emission data error correction system, the system comprising:

[0006] A first data retrieval interface, used to obtain first carbon emission data, wherein the first carbon emission data includes a first transportation carbon emission factor;

[0007] The second data retrieval interface is used to obtain the traffic information of the target object;

[0008] The system processing platform includes at least one processor for loading a program to execute the following steps:

[0009] S1. In the process of calculating the carbon emission evaluation value, when it is determined that the required carbon emission calculation data type includes the traffic travel data type, the corresponding travel section and travel time period are obtained from the traffic travel information of the target object;

[0010] S2. Determine corresponding environmental data according to the travel time period and the location of the travel section;

[0011] S3. After dividing the travel section into a plurality of travel sub-sections according to the environmental data, the first traffic carbon emission factor corresponding to each travel sub-section is obtained through the first data retrieval interface;

[0012] S4. Obtaining a corresponding first adjustment coefficient according to the environmental data and the type of transportation tool corresponding to each travel sub-segment;

[0013] S5. After adjusting the first transportation carbon emission factor using the first adjustment coefficient, a second transportation carbon emission factor is obtained;

[0014] S6. Determine the total carbon emission of the target object's transportation according to the second transportation carbon emission factor corresponding to each travel sub-segment and the distance of the travel sub-segment.

[0015] In some embodiments, step S4 specifically includes the following steps:

[0016] S401, forming a travel characteristic information matrix by combining environmental data and transportation tool types;

[0017] S402: Input the travel characteristic information matrix into the trained deep learning model for processing to obtain the corresponding first adjustment coefficient.

[0018] In some embodiments, step S6 specifically includes the following steps:

[0019] S601, when the vehicle corresponding to the travel sub-segment is a car, determining whether there is a parking waiting working state;

[0020] S602, when there is a parking waiting working state, calculating the first traffic trip carbon emissions of the vehicle in the parking waiting working state;

[0021] S603, determining the second traffic carbon emission of the vehicle in the driving state according to the second traffic carbon emission factor corresponding to the travel sub-segment and the distance of the travel sub-segment;

[0022] S604: Determine the total carbon emissions of the traffic trip corresponding to the travel sub-segment according to the first traffic trip carbon emissions and the second traffic trip carbon emissions.

[0023] In some embodiments, the first traffic trip carbon emission of the automobile in the parking waiting working state is determined according to the parking waiting time, the energy carbon emission factor and the energy consumption rate.

[0024] In some embodiments, the first carbon emission data further includes a printing ink carbon emission factor, and the processor can also be used to load a program to perform the following steps:

[0025] S7. Determine the carbon emission of printing the first file based on the printing ink carbon emission factor and the total amount of printing ink used, wherein the total amount of printing ink used is determined based on the identification result after performing content recognition on the electronic scanned copy of the bidding materials.

[0026] In some embodiments, the step of determining the total amount of printing ink used includes:

[0027] S701. Perform content recognition on the electronic scanned copies of the bidding materials;

[0028] S702: When the recognition result is that there is only one type of printed content on the printed page, the first printing ink usage is calculated according to the unit printing ink usage corresponding to the printed content and the number of pages;

[0029] S703, when the recognition result is that the printed page contains at least two types of printed contents, after calculating the printing ink usage required for the different types of printed contents on the printed page, calculate the second printing ink usage of each printed page;

[0030] S704: Determine the total amount of printing ink used according to the first printing ink usage and the second printing ink usage.

[0031] In some embodiments, the first carbon emission data further includes a document printing carbon emission factor and / or a hotel accommodation carbon emission factor, and the processor may also be used to load a program to perform the following steps:

[0032] S8. Determine the corresponding second file printing carbon emissions and / or hotel accommodation carbon emissions according to the file printing carbon emission factor and / or the hotel accommodation carbon emission factor;

[0033] S9. Combining the carbon emissions from transportation and the carbon emissions from printing the second file and / or the carbon emissions from hotel accommodation, thereby determining the bid carbon emissions data of the bidder.

[0034] In some embodiments, the processor may also be configured to load a program to perform the following steps:

[0035] S10. Obtain the first carbon emission credits of the bidder;

[0036] S11. Determine a second evaluation value based on the first carbon emission points and the bid carbon emission data.

[0037] In some embodiments, step S10 specifically includes the following steps:

[0038] S1001. Determine the corresponding first project execution information from the bidding document information;

[0039] S1002: when it is determined that the carbon account of the bidder is stored in the system processing platform, historical project execution information matching the first project execution information is searched out from the carbon account, and first carbon emission reduction credits are determined according to the carbon emission reduction credits corresponding to the historical project execution information;

[0040] S1003: when it is determined that the system processing platform stores the carbon account of the bidder and no historical project execution information matching the first project execution information can be found in the carbon account, the first point setting value is used as the first carbon emission reduction point;

[0041] S1004: when it is determined that the system processing platform does not store the carbon account of the bidder, the second integral setting value is used as the first carbon emission reduction integral;

[0042] Wherein, the first integral setting value is greater than or equal to the second integral setting value.

[0043] In a second aspect, an embodiment of the present application provides a method for correcting carbon emission data errors, the method comprising the following steps:

[0044] S1. In the process of calculating the carbon emission evaluation value, when it is determined that the required carbon emission calculation data type includes the traffic travel data type, the corresponding travel section and travel time period are obtained from the traffic travel information of the target object;

[0045] S2. Determine corresponding environmental data according to the travel time period and the location of the travel section;

[0046] S3. After dividing the travel section into a plurality of travel sub-sections according to the environmental data, the first traffic carbon emission factor corresponding to each travel sub-section is obtained through the first data retrieval interface;

[0047] S4. Obtaining a corresponding first adjustment coefficient according to the environmental data and the type of transportation tool corresponding to each travel sub-segment;

[0048] S5. After adjusting the first transportation carbon emission factor using the first adjustment coefficient, a second transportation carbon emission factor is obtained;

[0049] S6. Determine the total carbon emission of the target object's transportation according to the second transportation carbon emission factor corresponding to each travel sub-segment and the distance of the travel sub-segment.

[0050] This application can achieve at least one of the following technical effects: after the application scheme divides the travel section according to the environmental data to obtain several travel sub-sections, the corresponding first adjustment coefficient is obtained according to the environmental data and the type of transportation tool corresponding to each sub-section, and the second transportation carbon emission factor is obtained after adjusting the benchmark transportation carbon emission factor corresponding to the sub-section using the first adjustment coefficient, and finally the second transportation carbon emission factor corresponding to each travel sub-section and the distance of the travel sub-section are used to determine the total transportation carbon emission of the target object. It can be seen that the application scheme can adjust the carbon emission factors of different transportation tools according to the environmental conditions, which can improve the accuracy of the result of the total transportation carbon emission of the target object, so as to make the evaluation results of the bidding more accurate and comprehensive. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments.

[0052] Figure 1 A first structural schematic diagram of a carbon emission data error correction system is provided for an embodiment of the present application;

[0053] Figure 2 A schematic diagram of the steps of a method for correcting carbon emission data errors is provided for an embodiment of the present application;

[0054] Figure 3 A schematic diagram of a specific processing step flow for total carbon emissions from transportation provided in an embodiment of the present application;

[0055] Figure 4 A second structural schematic diagram of a carbon emission data error correction system is provided for an embodiment of the present application. DETAILED DESCRIPTION

[0056] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described through the implementation method with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

[0057] Carbon emissions can cause serious harm to the environment, which can easily have a significant negative impact on people's lives. Therefore, it is necessary to improve and perfect the technology, economy, policy and other aspects to achieve carbon neutrality. In order to achieve this goal, companies in various fields need to formulate and promote the implementation of relevant carbon reduction actions. It can be seen that the carbon emissions of the company itself and the projects / products it delivers can be used as one of its important evaluation factors. In this plan, the carbon emissions of the company itself are mainly considered as auxiliary evaluation factors based on the carbon emissions generated by the bidding company during the bidding process (i.e., the bidding carbon emissions data).

[0058] For the above-mentioned bidding carbon emission data, it includes the bidder's transportation carbon emissions. Generally, transportation carbon emissions are mainly determined based on transportation carbon emission factors and corresponding activity data, and the carbon emission factor is generally fixed during the calculation process. However, due to different environmental factors, such as different intensities of wind, snow, rain, temperature, etc., the unit energy consumption of vehicles will be different, and the corresponding carbon emissions will be different. It can be seen that the traditional method of determining and processing carbon emissions from transportation will reduce the accuracy of the processing results. To this end, the embodiment of the present application provides a carbon emission data error correction method and system, which can improve the accuracy of the calculation results.

[0059] Reference Figure 1 A carbon emission data error correction system includes a first data retrieval interface, a second data retrieval interface, and a system processing platform, wherein the first data retrieval interface and the second data retrieval interface are on the system processing platform. The first data retrieval interface, the second data retrieval interface, and the system processing platform are specifically described as follows.

[0060] The first data retrieval interface is mainly used to obtain the first carbon emission data. The first carbon emission data includes the first transportation carbon emission factor. The carbon emission factor retrieved through this interface is the benchmark factor, that is, the carbon emission factor corresponding to different types of transportation under normal environmental conditions. Among them, the carbon emission factor refers to the greenhouse gas emissions generated per unit of energy consumption. In this embodiment, in view of the high proportion of carbon dioxide in greenhouse gases, this carbon emission factor may specifically refer to the carbon dioxide emissions generated per unit of energy consumption. In one embodiment, the first transportation carbon emission factor is a benchmark carbon emission factor, which is mainly detected and identified by a professional third-party organization, and is generally stored on the terminal and / or platform of the third-party organization. It is read through the first data retrieval interface when it needs to be queried and read.

[0061] The second data retrieval interface is mainly used to obtain the traffic information of the target object.

[0062] Specifically, in this embodiment, the target object may include the bidder and / or the tenderer. If it is currently necessary to calculate and determine the bidder's carbon emissions from transportation, then the bidder's carbon emissions from transportation are obtained; similarly, if it is necessary to calculate and determine the tenderer's carbon emissions from transportation, then the tenderer's carbon emissions from transportation are obtained.

[0063] In addition, the traffic information of the target object is obtained after detecting and acquiring the traffic of the target object. For example, after confirming the need to calculate the carbon emissions of the bidder's traffic according to the information in the bidding document, the electronic bidding system can send authorization verification information to the APP of the bidder's staff to obtain authorization confirmation; then, the GPS positioning information of the staff from the starting point to the destination can be uploaded to the corresponding traffic database for storage, wherein the GPS positioning information includes the location information, distance length, timestamp and other information of the travel section, so that when it is necessary to retrieve and process it later, the corresponding information can be read from this traffic database through the second data retrieval interface.

[0064] The system processing platform includes at least one processor for loading a program to execute a carbon emission data error correction method step. The system processing platform is implemented using a SaaS platform architecture.

[0065] Reference Figure 2 , an embodiment of the present application provides a carbon emission data error correction method step, which specifically includes the following processing steps.

[0066] S1. In the process of calculating the carbon emission evaluation value, when it is determined that the required carbon emission calculation data type includes the traffic travel data type, the corresponding travel section and travel time period are obtained from the traffic travel information of the target object.

[0067] Specifically, the required type of carbon emission calculation data can be identified and confirmed based on the content of the bidding document information. For example, if it is identified from the bidding document information that personnel travel is required in this bidding, such as the bidder is required to deliver the paper bid to the corresponding address for delivery / stamping, or needs to go to a designated place for a meeting, etc., then it means that the carbon emissions of personnel travel need to be calculated this time. When it is confirmed that there is such a need, the bidder's staff will upload the corresponding travel information to the corresponding database, and then when calculation processing is required, it can be retrieved from the traffic database.

[0068] In addition, the travel route may include the travel route between the bidder's address and the various locations where the bidding activities are held, and / or the travel route between the hotel accommodation location and the various locations where the bidding activities are held during the business trip. Of course, other travel routes that meet the set conditions can also be included in the calculation, which will not be elaborated in detail here.

[0069] S2. Determine the corresponding environmental data according to the travel time period and the location of the travel section. If the travel time period is relatively long, there may be at least two different environmental conditions for the corresponding travel section. For example, the environment on the travel section corresponding to the 1st to 6th sub-time periods is a normal environment, while the environment on the travel section corresponding to the 7th to nth sub-time periods is a strong wind and heavy rain environment, and the environment on the travel section corresponding to the n+1…2nth sub-time periods is a light wind and light rain environment. The greater the wind / rain / snow environment, the greater the energy consumption of the vehicle per unit travel distance, that is, the corresponding carbon emission factor value will be greater than the benchmark value.

[0070] Furthermore, when the distance of a business trip or commuting is long, it is necessary to change the means of transportation during the journey. In this case, for environmental data, it is necessary to determine the corresponding environmental data for different types of transportation according to the travel time periods of different types of transportation and the locations of the travel sections. For example, if the means of transportation corresponding to the first half of the travel sub-section is a car, and the second half is an airplane, then one of the collected environmental data is the meteorological data for the low-altitude environment, and the other is the meteorological data for the high-altitude environment.

[0071] S3. After dividing the travel section into a plurality of travel sub-sections in time sequence according to the environmental data, a first traffic carbon emission factor corresponding to each travel sub-section is obtained through a first data retrieval interface.

[0072] Specifically, when the travel section is long and / or the transportation tool is changed, the environmental conditions corresponding to the entire travel section will change, and different environmental conditions will result in different adjustments to the baseline carbon emission factor. In other words, for step S3, it can be specifically divided into a number of travel sub-sections according to environmental data and transportation tool type, that is, one travel sub-section corresponds to one environmental condition and one transportation tool type.

[0073] In addition, given that the type of transportation used in each travel sub-segment may be different, in order to accurately calculate the traffic carbon emissions of each travel sub-segment, it is necessary to determine the type of transportation used in each travel sub-segment, and then obtain the corresponding benchmark traffic carbon emission factor through the first data retrieval interface.

[0074] S4. Obtain a first adjustment coefficient corresponding to each travel sub-segment according to the environmental data and the type of transportation tool corresponding to each travel sub-segment.

[0075] Specifically, the first adjustment coefficient can be obtained in the following two ways. Method 1: Use different environmental data and different types of vehicles as the first feature matrix, and then construct a mapping relationship between the first feature matrix and the corresponding adjustment coefficient (these are determined and stored in the database using historical environmental data, vehicle type data, historical actual carbon emission factors and other data). In this way, the environmental data and vehicle type obtained by actual detection are used as the second feature matrix, and the similarity calculation method is used to find the first feature matrix with the greatest similarity to the second feature matrix, and then the adjustment coefficient corresponding to the found first feature matrix is ​​used as the required adjustment coefficient. Method 2: Use the training model method to estimate and determine the corresponding adjustment coefficient based on the environmental data and vehicle type obtained by real-time detection. It should be noted that these two acquisition methods can be selected according to actual needs and are not specifically limited here.

[0076] S5. After adjusting the first transportation carbon emission factor using the first adjustment coefficient, a second transportation carbon emission factor is obtained.

[0077] Specifically, in this embodiment, the second transportation carbon emission factor can be determined based on the product of the first adjustment coefficient and the first transportation carbon emission factor, that is, the second transportation carbon emission factor can be the product of the first adjustment coefficient and the first transportation carbon emission factor.

[0078] S6. Determine the total carbon emission of the target object's transportation trip according to the second carbon emission factor of each travel sub-segment and the distance of the travel sub-segment. t .

[0079] Specifically in this embodiment, Among them, F i It is represented as the second traffic carbon emission factor corresponding to the ith travel sub-segment, and its unit is kgCO2 / KM, which means the carbon emission generated for every kilometer traveled; D i It is represented by the distance of the i-th travel sub-segment, and its unit is KM; n is represented by the total number of travel sub-segments.

[0080] It can be seen that by adopting the above scheme, the carbon emission factor of transportation can be adjusted to adapt to different environmental conditions, which can make the final calculation result of the total carbon emissions of transportation of the target object more accurate.

[0081] In some embodiments, environmental conditions vary greatly and to varying degrees, so in order to further improve the accuracy of the adjustment coefficient, a deep learning training model is used to confirm the adjustment coefficient. Then, step S4 may specifically include the following steps.

[0082] S401. Construct a travel characteristic information matrix using environmental data and transportation tool types.

[0083] S402, input the travel characteristic information matrix into the trained deep learning model for processing to obtain the corresponding first adjustment coefficient. For the deep learning model, the historical travel characteristic information is used as training input data, and the ratio between the historical actual traffic carbon emission factor and the benchmark traffic carbon emission factor is used as training output data, and then the model is trained using the training input data and the training output data. After the error result is satisfied, the model is the trained deep learning model.

[0084] In some embodiments, the types of transportation include at least airplanes, high-speed trains / trains, and cars. Among them, for cars, various situations are prone to occur during the travel section, and the frequency and duration of stopping and waiting are difficult to estimate. Therefore, if only the traffic carbon emission factor corresponding to the travel section and the travel distance are used to determine the final car carbon emissions, the error result is relatively large. For this reason, the carbon emissions generated by the car when it stops and waits should also be added to the calculation process of the total carbon emissions. It can be seen that for step S6, refer to Figure 3 , which may specifically include the following steps.

[0085] S601: When the vehicle corresponding to the travel sub-section is a car, determine whether there is a parking waiting working state.

[0086] Specifically, when the car is in the parking waiting working state, the driving speed of the car is 0 or close to 0, so it can be determined by detecting and judging the speed. Alternatively, if the car is in the parking waiting working state, for the GPS positioning information, the position information will not change within a preset time period. Therefore, in order to improve the convenience of calculation and without the need to add an additional data communication interface with the vehicle system, the steps for determining the parking waiting working state in this embodiment can be specifically as follows: when the positioning position in the GPS positioning information does not change, it can be determined that the car is in the parking waiting working state. And using this method, it is more conducive to determining the duration of the parking waiting working state, that is, the parking waiting time. Specifically, the duration of the positioning position without change is the parking waiting time.

[0087] It can be seen that step S601 may be specifically as follows: when the vehicle corresponding to the travel sub-segment is a car, whether there is a parking waiting working state is determined according to the driving speed of the car or the GPS positioning information.

[0088] S602: When the vehicle is in the parking waiting state, calculate the carbon emissions of the first traffic trip of the vehicle in the parking waiting state.

[0089] Specifically, when a car is in a parked waiting state, its main carbon emissions come from the car's energy consumption. Therefore, in this embodiment, the first transportation carbon emissions of the car in the parked waiting state are determined based on the parking waiting time, energy carbon emission factor and energy consumption rate.

[0090] Furthermore, the first transportation carbon emissions C d =Energy carbon emission factor*energy consumption rate*parking waiting time, where the unit of energy carbon emission factor is kgCO2 / L, i.e., the carbon emission generated by one liter of fuel consumption, the unit of energy consumption rate is liter / hour, i.e., the amount of fuel consumed per hour, and the unit of parking waiting time is hour. Of course, if the car is a new energy vehicle, then the above energy is converted from fuel to electricity, that is, the unit of energy carbon emission factor is kgCO2 / kilowatt-hour, i.e., the carbon emission corresponding to 1 kilowatt-hour, and the energy consumption rate is the electric power of the car, in kilowatts.

[0091] S603: Determine the second traffic carbon emission of the vehicle in the driving state according to the second traffic carbon emission factor corresponding to the travel sub-segment and the distance of the travel sub-segment. The second traffic carbon emission is the same as the carbon emission calculation step mentioned in step S6 above, and will not be repeated here.

[0092] S604, according to the first carbon emission of traffic and the second carbon emission of traffic, the total carbon emission of traffic corresponding to the travel sub-segment is determined. By summing the total carbon emission of traffic corresponding to each travel sub-segment, the total carbon emission of traffic of the final target object is obtained. It can be seen that the total carbon emission of traffic calculated by the above method is more accurate.

[0093] In some embodiments, the bidder's bid carbon emission data also includes document printing carbon emission, wherein the document printing carbon emission includes a first document printing carbon emission and a second document printing carbon emission. In this implementation, the first document printing carbon emission refers to the carbon emission generated based on the consumption of printing ink in document printing. In view of this, the first carbon emission data also includes a printing ink carbon emission factor, and the processor can also be used to load a program to perform the following steps.

[0094] S7. Determine the carbon emission of printing the first file based on the printing ink carbon emission factor and the total amount of printing ink used, wherein the total amount of printing ink used is determined based on the identification result after performing content recognition on the electronic scanned copy of the bidding materials.

[0095] Specifically, the carbon emission of the first file printing C y =Carbon emission factor of printing ink*total amount of printing ink used, where the unit of carbon emission factor of printing ink is kgCO2 / kg and the unit of total amount of printing ink used is kg.

[0096] In some embodiments, since the content printed on each printed page may include text, tables, graphics, etc., when the content printed on the printed page includes at least two types, the amount of printing ink consumed by printing each type on one page will be different. In order to further improve the accuracy of the detection and recognition results of the total amount of printing ink used, it is necessary to identify the content of each printed page, and confirm the corresponding total amount of printing ink used based on the recognition results. Therefore, for the total amount of printing ink used, the determination steps can be as follows.

[0097] S701. Perform content recognition on the electronic scanned copies of the bidding materials.

[0098] Specifically, the content recognition results may include a printed page with only one type of content such as text, table, picture, etc., or a printed page with at least two types of content, such as text + picture, text + table, file + table + picture, etc.

[0099] S702: When the identification result is that there is only one type of printed content on the printed page, the first printing ink usage is calculated according to the unit printing ink usage corresponding to the printed content and the number of pages.

[0100] Specifically, for bidding materials, there are usually specific provisions for parameters such as font size, paragraph, and table cell size. Therefore, when the printed pages are all of the same type of printed content, the amount of printing ink required for the printed page is basically fixed (small fluctuations are negligible). Therefore, for only the same type of printed pages, the unit printing ink usage (i.e., the amount of printing ink required for a printed page) and the corresponding number of pages can be multiplied to obtain the corresponding printing ink usage, i.e., the amount of printing ink required for a printed page. For example, there are m sheets of printed pages in the bidding materials, all of which only have printed text content, so the total amount of printing ink used for this type of printed page (i.e., the first printing ink usage) can be the unit printing ink usage*m.

[0101] Of course, it is also possible to identify the content printed on each printed page to obtain the amount of printing ink used for each printed page, and then sum them up to obtain the total amount of printing ink used. Compared with this method, the specific implementation steps of step S7 adopted in this embodiment can improve the processing efficiency while ensuring the accuracy of the results.

[0102] S703: When the identification result is that the printed page contains at least two types of printed content, after calculating the printing ink usage required for the different types of printed content on the printed page, calculate the second printing ink usage of each printed page.

[0103] Specifically, based on this recognition result, it is necessary to identify the printed pages one by one to identify the position and size of different types of printed content on the printed pages, so as to determine the amount of printing ink required for the printed page. Finally, the printing ink usage corresponding to these printed pages is superimposed to obtain the second printing ink usage.

[0104] S704: Determine the total amount of printing ink used according to the first printing ink usage and the second printing ink usage.

[0105] It can be seen that determining the total amount of printing ink used through the above method can improve processing efficiency while ensuring accuracy, and can also adapt to different printing contents.

[0106] In some embodiments, the bidder's bid carbon emission data also includes the second file printing carbon emission and / or hotel accommodation carbon emission, so the first carbon emission data also includes the file printing carbon emission factor and / or hotel accommodation carbon emission factor, and the processor can also be used to load the program to perform the following steps.

[0107] S8. Determine a corresponding second document printing carbon emission amount and / or hotel accommodation carbon emission amount according to the document printing carbon emission factor and / or the hotel accommodation carbon emission factor.

[0108] S9. Combining the carbon emissions from transportation and the carbon emissions from printing the second file and / or the carbon emissions from hotel accommodation, the bidder's bid carbon emissions data is determined. In other words, the bidder's bid carbon emissions data (i.e. the bidder's total bid carbon emissions) = carbon emissions from transportation + carbon emissions from printing the second file + carbon emissions from hotel accommodation.

[0109] Furthermore, since the carbon emissions from document printing also include the carbon emissions from the first document printing, the bidder's bid carbon emissions data (i.e. the bidder's total bid carbon emissions) = transportation carbon emissions + first document printing carbon emissions + second document printing carbon emissions + hotel accommodation carbon emissions. It can be seen that determining the bidder's total bid carbon emissions in this way is more accurate and comprehensive, and is more conducive to achieving carbon neutrality.

[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] A1. Determine the first electricity carbon emission amount according to the electricity carbon emission factor, the number of accommodation days and the electricity consumption.

[0112] Specifically, the carbon emissions of the first power C e = Electricity carbon emission factor * number of accommodation days * electricity consumption, where the unit of electricity carbon emission factor is kgCO2 / kilowatt-hour, number of accommodation days refers to the number of days a person stays on a business trip, and its unit is day, and electricity consumption refers to the average electricity consumption used by a person staying in a hotel for one day, so its unit is kilowatt-hour / day. It can be seen that this formula can be used to determine the electricity carbon emissions generated by a person staying on a business trip, so according to the actual number of people on the business trip and the number of accommodation days, the total electricity carbon emissions can be determined. For the number of accommodation days, it can be determined according to factors such as the duration of the activity and the length of the travel distance, and there is no specific limitation here.

[0113] A2. Determine the first thermal energy carbon emission according to the thermal energy carbon emission factor, the number of accommodation days and the thermal energy consumption.

[0114] Specifically, in view of the different weather and climate, heating and heating may be involved, and the carbon emissions generated by heat energy consumption also need to be calculated. In this embodiment, the first heat energy carbon emissions C r = heat energy consumption * number of days of accommodation * heat energy carbon emission factor; where the unit of heat energy carbon emission factor is kgCO2 / GJ, the unit of heat energy consumption is GJ / day, which means the daily heat energy consumption, and GJ means gigajoules.

[0115] A3. Determine the first waste treatment carbon emission according to the waste treatment carbon emission factor, the number of accommodation days and the amount of garbage.

[0116] Specifically, in addition to the above-mentioned electricity and heat energy, the garbage generated during the stay will also generate corresponding carbon emissions during the treatment process (such as incineration or landfill treatment). u=Amount of garbage*Number of accommodation days*Carbon emission factor of waste treatment, where the unit of carbon emission factor of waste treatment is kgCO2 / kg, and the unit of garbage amount is kg / day, which represents the weight of garbage treated every day.

[0117] In addition, it should be noted that the above-mentioned electricity consumption, heat consumption and garbage volume can all be obtained in real time from the hotel's corresponding enterprise end after verification and authorization.

[0118] A4. Determine the hotel accommodation carbon emissions based on the first electricity carbon emissions, the first thermal energy carbon emissions, and the first waste treatment carbon emissions.

[0119] Specifically, in this embodiment, the hotel accommodation carbon emissions are the sum of the first electricity carbon emissions, the first thermal energy carbon emissions, and the first waste treatment carbon emissions, that is, the hotel accommodation carbon emissions = C e +C r +C u .

[0120] Furthermore, in addition to the above-mentioned carbon emissions as direct emissions, there are also indirect carbon emissions, such as carbon emissions generated by water resource treatment. Therefore, step A0 is provided before step A4. The specific step A0 is: determining the first water treatment carbon emissions C according to the water treatment carbon emission factor, the number of accommodation days and the water consumption. w .

[0121] Among them, C w = water treatment carbon emission factor * number of days of stay * water consumption, the unit of water treatment carbon emission factor is kgCO2 / L, which indicates the carbon emission generated by treating one liter of water, and the unit of water consumption is L / day, which indicates the number of liters of water treated per day. In this case, for the above step A4, it is specifically as follows: according to the first electricity carbon emission, the first thermal energy carbon emission, the first waste treatment carbon emission, and the first water treatment carbon emission, the hotel accommodation carbon emission is determined, that is, hotel accommodation carbon emission = C e +C r +C u +C w It can be seen that the above method can determine the total amount of carbon emissions generated by each person during a few days of accommodation, which can more accurately and comprehensively reflect the carbon emissions. It can not only help the bidders understand the carbon emissions generated by their accommodation during the bidding activities, but also help the tenderers to review the address, duration, number of times, etc. of the activities based on this situation, so as to determine whether it is necessary to optimize and adjust the relevant information such as the bidding activities, so as to maximize the overall carbon emission reduction effect of the bidding activities.

[0122] In some embodiments, the carbon emissions from printing the second file can be calculated through the following steps.

[0123] B1. Determine the number of copies of documents to be printed based on the bidding document information;

[0124] B2. Determine the number of pages of each document, that is, the number of sheets, according to the first bidding material data; wherein the first bidding material data mainly refers to the bidding materials of the bidder;

[0125] B3. Determine the total number of pages to be printed based on the number of copies and pages of the document;

[0126] B4. Determine the total printing weight of the document based on the total number of pages and the weight of each page;

[0127] B5. Determine the second document printing carbon emission amount according to the document printing carbon emission factor and the total document printing weight.

[0128] Specifically, in this embodiment, the second file printing carbon emission Cp=P*W, wherein P represents the file printing carbon emission factor, and its unit is kgCO2 / kg; W represents the total weight of the file printing, and its unit is kg.

[0129] In some embodiments, the processor may also be configured to load a program to perform the following steps.

[0130] S10. Obtain the first carbon emission credits of the bidder.

[0131] Specifically, for the first carbon emission credit, the corresponding score is mainly obtained based on the carbon emission reduction behavior of the bidder, for example, optimizing facilities and equipment to reduce energy consumption and thus reduce its carbon emissions, or optimizing construction / management processes so that the enterprise reduces the overall energy consumption required in the execution of the corresponding project or management process to reduce its carbon emissions, etc. It can be seen that for carbon emission credits, it is proportional to the carbon emission optimization reduction (which can be referred to as carbon emission reduction), wherein the more carbon emission reduction, the more corresponding carbon emission credits it obtains. As for how to detect different carbon emission reduction behaviors (which may include the equipment itself, various processes, such as construction processes, management processes, preparation processes, etc.) to determine their carbon emission reduction and their corresponding carbon emission credits, this can be processed and identified according to the existing preset regulations, and will not be elaborated here. It can be seen that this carbon emission credit can be used to characterize the carbon emission reduction capacity of the enterprise, and if the carbon emission reduction behavior generated by the enterprise belongs to any execution link in the bidding project, then it can further ensure that the enterprise can achieve the effect of emission reduction when implementing this project in the future.

[0132] In addition, the carbon emission points corresponding to different carbon emission reduction behaviors of different enterprises are stored on the system processing platform, which can facilitate the rapid query, reading and use of this data, and can also facilitate the subsequent rapid evaluation and reward of the carbon emission points of different enterprises (such as certificate rewards, prize rewards, etc.), thereby facilitating the implementation and execution of carbon emission reduction concepts and policies in enterprises.

[0133] In some embodiments, step S10 specifically includes the following steps.

[0134] S1001. Determine the corresponding first project execution information from the bidding document information. The first project execution information may include but is not limited to the project duration, required equipment, required implementation process, required number of staff, etc. That is, the first project execution information may be a first project feature matrix.

[0135] S1002. When it is determined that the bidder's carbon account is stored in the system processing platform, historical project execution information matching the first project execution information is searched from the carbon account, and the first carbon emission reduction credit is determined according to the carbon emission reduction credit corresponding to the historical project execution information.

[0136] Specifically, for the carbon account of the bidder, it mainly stores the carbon emission reduction behavior information of the bidder and its corresponding carbon emission reduction points. Therefore, by extracting the corresponding first feature of the carbon emission 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 the project execution information (i.e., the highest similarity) can be obtained. Among them, for the calculation of similarity, the specific calculation steps can be: the first project feature and the extracted first feature constitute a project information input matrix, and then input it into the project information training model for processing, and the similarity coefficient between the two can be obtained, and then the historical project execution information with the highest matching degree can be determined according to the first feature corresponding to the maximum similarity, so that the first carbon emission reduction points can be determined according to the carbon emission reduction points corresponding to the historical project execution information. In addition, in some embodiments, since different project characteristic factors can be divided in the project engineering, such as equipment, preparation / construction process, etc., if the bidder's carbon account has the carbon emission reduction behavior that best matches the equipment optimization in the first project execution information, then it will be used as the first carbon emission reduction credit. If the bidder's carbon account also has the carbon emission reduction behavior that best matches the construction process optimization in the first project execution information, then the carbon emission reduction credits corresponding to the above-mentioned carbon emission reduction behaviors involving equipment and construction processes will be used to jointly determine the first carbon emission reduction credit.

[0137] S1003: When it is determined that the system processing platform stores the carbon account of the bidder and no historical project execution information matching the first project execution information is found in the carbon account, the first point setting value is used as the first carbon emission reduction point.

[0138] Specifically, if the system processing platform identifies the carbon account of the bidder, and the carbon account contains carbon emission reduction behaviors and corresponding carbon emission reduction points, it means that the bidder has a certain ability to achieve carbon emission reduction effects, and it also means that its company has been implementing the corresponding carbon emission reduction policies. At this time, even if there is no historical project execution information corresponding to the first project execution information in the carbon account, the first point setting value can be used as the first carbon emission reduction point. Among them, for this first integral setting value, it can be an empirical value; or, it can be determined in the following way: obtain the second carbon emission reduction credits of other bidders, wherein other bidders refer to bidders other than itself, such as there are 1...n bidders in total, if in the process of determining the carbon emission reduction credits for bidder 1, other bidders refer to bidders 2...n, and the second carbon emission reduction credits refer to the carbon emission credits determined for other bidders when it is determined that the system processing platform stores the carbon account of the bidder and finds the historical project execution information corresponding to the first project execution information from the carbon account, that is, the second carbon emission reduction credits of the 2nd...nth bidders are obtained, and this credit refers to the carbon emission credits obtained by the bidder when the carbon account contains matching historical project information. At this time, the value of the first integral setting value is set to be less than the minimum value of several second carbon emission reduction credits, so as to ensure the reasonable accuracy of the evaluation. Of course, according to the requirements of certain project / engineering bidding, the carbon emission credits in this case should be 0. Then the bidding staff can modify the acquisition mode of the first credit setting value from the dynamic acquisition mode to the static acquisition mode through the modification operation page provided by the background, and then set the first credit setting value to a fixed value of 0.

[0139] S1004. When it is determined that the system processing platform does not store the carbon account of the bidder, use the second integral setting value as the first carbon emission reduction credit; wherein the first integral setting value is greater than or equal to the second integral setting value.

[0140] Specifically, if the bidder does not have a corresponding carbon account in the system processing platform, it means that it does not have the corresponding carbon emission reduction behavior, that is, the bidding enterprise does not have the carbon emission reduction behavior that meets the detection and certification requirements, which reflects that the bid does not have the ability to enable the project to achieve carbon emission reduction effects. Therefore, the second integral setting value for the bidder should be less than the first integral setting value mentioned above. Of course, the second integral setting value can also be directly assigned to 0.

[0141] It can be seen that by adopting the above implementation method to determine the first carbon emission credits corresponding to the bidder, the accuracy and rationality of subsequent evaluation and approval results can be improved.

[0142] S11. Determine a second evaluation value based on the first carbon emission points and the bid carbon emission data. The bid carbon emission data is mainly used to determine the bid carbon emission score corresponding to the bidding enterprise. The carbon emission score is inversely proportional to the bid carbon emission data. The larger the value of the bid carbon emission data, the lower the corresponding carbon emission score.

[0143] Further, step S11 may specifically include the following steps.

[0144] S1101. Determine the bidding carbon emission score based on the bidding carbon emission data.

[0145] Specifically, the bid carbon emission data is the carbon emissions generated by the bidding enterprise in the bidding activities, wherein the larger the carbon emissions, the smaller the corresponding bid carbon emission score, that is, the bid carbon emission data and the bid carbon emission score are inversely proportional.

[0146] S1102. Determine a second evaluation value based on the first carbon emission credits and the bid carbon emission score; wherein the first carbon emission credits and the bid carbon emission score are both in direct proportion to the second evaluation value.

[0147] Specifically, the step S1102 may specifically include: after summing the first carbon emission credit and the bid carbon emission score, determine the second evaluation value according to the summation result, for example, directly use the summation result as the second evaluation value. Alternatively, the step S1102 may specifically include: S11021, calculate the first product result between the first carbon emission credit and its corresponding first weight coefficient k1; S11022, calculate the second product result between the bid carbon emission score and its corresponding second weight coefficient k2; S11023, after summing the first product result and the second product result, determine the second evaluation value according to the summation result. For example, the second evaluation value V1 = k1*first carbon emission credit d+k2*bid carbon emission score e, where k1 is the first weight coefficient, k2 is the second weight coefficient, and considering that the importance of carbon emission credits is higher than that of bid carbon emission scores, the value of k1 is greater than k2. It can be seen that the final required second evaluation value is determined in this way, and its accuracy and rationality are higher.

[0148] In some embodiments, the processor may be further configured to load a program to perform the following steps:

[0149] C1. Determine the second carbon emissions of the tenderer by combining the tender document information and the first tender material data.

[0150] Specifically, the second carbon emissions of the above-mentioned tenderer are determined based on the second carbon emissions data, wherein the second carbon emissions data include carbon emissions factors for document printing, carbon emissions factors for printing inks, carbon emissions factors for transportation, carbon emissions factors for hotel accommodation, and carbon emissions factors for meetings, that is, the second carbon emissions of the tenderer include carbon emissions for document printing, carbon emissions for transportation, carbon emissions for hotel accommodation, and carbon emissions for meetings. Among them, the calculation formulas used for carbon emissions for document printing, carbon emissions for transportation, and carbon emissions for hotel accommodation are the same as the calculation formulas for the carbon emissions of the above-mentioned bidders. It is only necessary to change the corresponding parameters, such as the content of the materials to be printed, the number of documents to be printed, the travel distance, and the number of accommodation days, to the corresponding parameters on the tenderer's side. As for the carbon emissions from meetings, it is mainly based on the corresponding carbon emissions generated by the corresponding electricity consumption during the meeting, so the carbon emissions of the meeting C m =Conference carbon emission factor * meeting duration * meeting electricity consumption, where the unit of conference carbon emission factor is kgCO2 / kilowatt-hour, the unit of conference electricity consumption is kilowatt-hour / h, that is, the average electricity consumption per hour, and the unit of meeting duration is h. It can be determined based on historical bidding activity information to determine the duration of different types of meetings at different stages.

[0151] C2. When the second carbon emission of the tenderer is greater than the set value of carbon emission, the corresponding carbon emission reduction recommended strategy will be displayed.

[0152] Specifically, according to the content of the above step C1, it can be known that the second carbon emissions of the tenderer are determined by the carbon emissions of document printing, carbon emissions of transportation, carbon emissions of hotel accommodation, and carbon emissions of meetings, among which the sum of them is mainly used as the final second carbon emissions. In this way, by numerically comparing the second carbon emissions, carbon emissions of document printing, carbon emissions of transportation, carbon emissions of hotel accommodation, and carbon emissions of meetings with the corresponding carbon emissions set values, the overall carbon emissions of the tenderer and the carbon emissions of each specific dimension can be identified and judged to determine whether they exceed the corresponding warning values. If so, for the dimensions that exceed the warning values ​​(such as hotel accommodation, transportation, etc.), the corresponding carbon emission reduction recommendation strategies will be displayed according to the size of the exceeded values, so that the tenderer can quickly optimize and adjust the bidding activities to achieve the carbon emission reduction effect of the bidding activities.

[0153] Reference Figure 4 , a carbon emission data error correction system, the system comprising:

[0154] A first acquisition processing unit is used to acquire the corresponding travel section and travel time period from the traffic travel information of the target object when it is determined that the required carbon emission calculation data type includes the traffic travel data type during the process of calculating the carbon emission evaluation value;

[0155] A first determination processing unit, used to determine corresponding environmental data according to a travel time period and a location of a travel section;

[0156] A first division processing unit is used to divide the travel section into a plurality of travel sub-sections according to the environmental data, and obtain a first traffic carbon emission factor corresponding to each travel sub-section through a first data retrieval interface;

[0157] A second acquisition processing unit, configured to acquire a corresponding first adjustment coefficient according to the environmental data and the type of transportation tool corresponding to each travel sub-segment;

[0158] A first adjustment processing unit, configured to adjust the first transportation carbon emission factor using a first adjustment coefficient to obtain a second transportation carbon emission factor;

[0159] The second determination processing unit is used to determine the total carbon emissions of the target object's transportation according to the second transportation carbon emission factor corresponding to each travel sub-segment and the distance of the travel sub-segment.

[0160] Since the units of the system embodiment correspond one-to-one with the steps of the above method, the beneficial effects of the system of the present embodiment are the same as the beneficial effects of the above method embodiment, and will not be elaborated in detail here.

[0161] In addition, the present application also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement the steps of the above method embodiment. The method herein includes a carbon emission data collection method and / or a carbon emission data audit method.

[0162] For the processors mentioned in the above storage medium embodiment and the system embodiment, the number can be at least 1, and at least any step in the above method embodiment can be executed. When the number is at least two, at least two processors can be connected to each other by communication, not limited to wired or wireless communication connection, and the at least one processor can be connected to various intelligent terminal devices by communication. In addition, the processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.

[0163] Finally, it should be understood that the size of the serial numbers of the steps in the above embodiments does not mean 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 the present application.

[0164] Note that the above are only preferred embodiments of the present application and the technical principles used. Those skilled in the art will understand that the present application is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present application. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the appended claims.

Claims

1. A carbon emission data error correction system, characterized in that: The system includes: A first data retrieval interface, used to obtain first carbon emission data, wherein the first carbon emission data includes a first transportation carbon emission factor; The second data retrieval interface is used to obtain the traffic information of the target object; The system processing platform includes at least one processor for loading a program to execute the following steps: S1. In the process of calculating the carbon emission evaluation value, when it is determined that the required carbon emission calculation data type includes the traffic travel data type, the corresponding travel section and travel time period are obtained from the traffic travel information of the target object; S2. Determine corresponding environmental data according to the travel time period and the location of the travel section; S3. After dividing the travel section into a plurality of travel sub-sections according to the environmental data, the first traffic carbon emission factor corresponding to each travel sub-section is obtained through the first data retrieval interface; S4. Obtaining a corresponding first adjustment coefficient according to the environmental data and the type of transportation tool corresponding to each travel sub-segment; S5. After adjusting the first transportation carbon emission factor using the first adjustment coefficient, a second transportation carbon emission factor is obtained; S6. Determine the total carbon emission of the target object's transportation according to the second transportation carbon emission factor corresponding to each travel sub-segment and the distance of the travel sub-segment.

2. The system according to claim 1, characterized in that The step S4 specifically comprises the following steps: S401, forming a travel characteristic information matrix by combining environmental data and transportation tool types; S402: Input the travel characteristic information matrix into the trained deep learning model for processing to obtain the corresponding first adjustment coefficient.

3. The system according to claim 1, characterized in that The step S6 specifically comprises the following steps: S601, when the vehicle corresponding to the travel sub-segment is a car, determining whether there is a parking waiting working state; S602, when there is a parking waiting working state, calculating the first traffic trip carbon emissions of the vehicle in the parking waiting working state; S603, determining the second traffic carbon emission of the vehicle in the driving state according to the second traffic carbon emission factor corresponding to the travel sub-segment and the distance of the travel sub-segment; S604: Determine the total carbon emissions of the traffic trip corresponding to the travel sub-segment according to the first traffic trip carbon emissions and the second traffic trip carbon emissions.

4. The system according to claim 3, characterized in that The first traffic carbon emission of the automobile in the parking waiting working state is determined according to the parking waiting time, the energy carbon emission factor and the energy consumption rate.

5. The system according to claim 1, wherein: The first carbon emission data further includes a printing ink carbon emission factor, and the processor can also be used to load a program to perform the following steps: S7. Determine the carbon emission of printing the first file based on the carbon emission factor of printing ink and the total amount of printing ink used, wherein the total amount of printing ink used is determined based on the recognition result after performing content recognition on the electronic scanned copy of the bidding materials.

6. The system according to claim 5, characterized in that The steps of determining the total amount of printing ink used include: S701. Perform content recognition on the electronic scanned copies of the bidding materials; S702: When the recognition result is that there is only one type of printed content on the printed page, the first printing ink usage is calculated according to the unit printing ink usage corresponding to the printed content and the number of pages; S703, when the recognition result is that the printed page contains at least two types of printed contents, after calculating the printing ink usage required for the different types of printed contents on the printed page, calculate the second printing ink usage of each printed page; S704: Determine the total amount of printing ink used according to the first printing ink usage and the second printing ink usage.

7. The system according to claim 1, characterized in that The first carbon emission data also includes a file printing carbon emission factor and / or a hotel accommodation carbon emission factor, and the processor can also be used to load a program to perform the following steps: S8. Determine the corresponding second file printing carbon emissions and / or hotel accommodation carbon emissions according to the file printing carbon emission factor and / or the hotel accommodation carbon emission factor; S9. Combining the carbon emissions from transportation and the carbon emissions from printing the second file and / or the carbon emissions from hotel accommodation, thereby determining the bid carbon emissions data of the bidder.

8. The system according to claim 7, characterized in that The processor may also be configured to load a program to perform the following steps: S10. Obtain the first carbon emission credits of the bidder; S11. Determine a second evaluation value based on the first carbon emission points and the bid carbon emission data.

9. The system according to claim 8, characterized in that The step S10 specifically includes the following steps: S1001. Determine the corresponding first project execution information from the bidding document information; S1002: when it is determined that the carbon account of the bidder is stored in the system processing platform, historical project execution information matching the first project execution information is searched out from the carbon account, and first carbon emission reduction credits are determined according to the carbon emission reduction credits corresponding to the historical project execution information; S1003: when it is determined that the system processing platform stores the carbon account of the bidder and no historical project execution information matching the first project execution information can be found in the carbon account, the first point setting value is used as the first carbon emission reduction point; S1004: when it is determined that the system processing platform does not store the carbon account of the bidder, the second integral setting value is used as the first carbon emission reduction integral; Wherein, the first integral setting value is greater than or equal to the second integral setting value.

10. A method for correcting carbon emission data errors, characterized in that: The method comprises the following steps: S1. In the process of calculating the carbon emission evaluation value, when it is determined that the required carbon emission calculation data type includes a traffic travel data type, the corresponding travel section and travel time period are obtained from the traffic travel information of the target object; S2. Determine corresponding environmental data according to the travel time period and the location of the travel section; S3. After dividing the travel section into a plurality of travel sub-sections according to the environmental data, the first traffic carbon emission factor corresponding to each travel sub-section is obtained through the first data retrieval interface; S4. Obtaining a corresponding first adjustment coefficient according to the environmental data and the type of transportation tool corresponding to each travel sub-segment; S5. After adjusting the first transportation carbon emission factor using the first adjustment coefficient, a second transportation carbon emission factor is obtained; S6. Determine the total carbon emission of the target object's transportation according to the second transportation carbon emission factor corresponding to each travel sub-segment and the distance of the travel sub-segment.

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