Carbon emission data error correction method and system

Abstract

The application discloses a carbon emission data error correction system and method, and the system of the scheme comprises a first data interface, a second data interface and a system processing platform. The platform can be used to load programs to execute the following steps: obtaining a travel section and a travel time period from traffic travel information; determining environmental data according to the travel time period and the travel section; dividing the travel section into a plurality of travel sub-sections according to the environmental data, and obtaining a corresponding first traffic travel carbon emission factor; obtaining a first adjustment coefficient according to the environmental data of the travel sub-section and a vehicle type; 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 a total traffic travel carbon emission according to the second traffic travel carbon emission factor and a distance. By using the scheme, the accuracy of the total traffic travel carbon emission of the target object can be improved, so that the evaluation result of bidding is more accurate and more comprehensive.

Description

TECHNICAL FIELD

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

[0002] In order to make the evaluation of the bidding and tender review more comprehensive, and also to make the bidding and tendering activities have the effect of carbon emission reduction, and actively respond to the carbon neutral policy, the carbon emission situation is introduced into the evaluation dimension of the bidding party to improve the comprehensiveness, accuracy and rationality of the bidding and tender review results. The carbon emission situation score includes the bidding carbon emission data corresponding to the bidding carbon emission score of the bidding party. The bidding carbon emission data mainly refers to the carbon emission generated by the bidding party in the bidding and tendering process. The greater the carbon emission, the lower the bidding carbon emission score.

[0003] The bidding carbon emission data includes the traffic travel carbon emission of the bidding party. Generally, the traffic travel carbon emission is determined according to the traffic travel carbon emission factor and the corresponding activity data, and the carbon emission factor is generally fixed during the calculation process. However, due to different environmental factors, the carbon emission of different types of vehicles will be different. For example, if the environmental temperature is low, the vehicle needs to be heated, and the energy consumption of the vehicle will be different. It can be seen that the traditional traffic travel carbon emission detection and calculation method will reduce the accuracy of the detection and calculation results. SUMMARY

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

[0005] In a first aspect, the embodiments of the present application provide a carbon emission data error correction system, which comprises:

[0006] A first data retrieval interface is configured to obtain first carbon emission data, wherein the first carbon emission data includes a first traffic travel carbon emission factor;

[0007] A second data retrieval interface is configured to obtain traffic travel information of a target object;

[0008] A system processing platform includes at least one processor configured to load a program to perform 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 contains a traffic travel data type, obtaining corresponding travel sections and travel time periods from traffic travel information of the target object;

[0010] S2, determining corresponding environmental data according to the travel time periods and the positions of the travel sections;

[0011] S3, dividing the travel sections into a plurality of travel subsections according to the environmental data, and obtaining a first traffic travel carbon emission factor corresponding to each travel subsection through a first data calling interface;

[0012] S4, obtaining a first adjustment coefficient corresponding to each travel subsection according to the environmental data and the vehicle type;

[0013] S5, adjusting the first traffic travel carbon emission factor by using the first adjustment coefficient to obtain a second traffic travel carbon emission factor;

[0014] S6, determining a total traffic travel carbon emission amount of the target object according to the second traffic travel carbon emission factor corresponding to each travel subsection and the distance of the travel subsection.

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

[0016] S401, constructing a travel feature information matrix from the environmental data and the vehicle type;

[0017] S402, inputting the travel feature information matrix into a trained deep learning model for processing to obtain the corresponding first adjustment coefficient.

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

[0019] S601, when the vehicle corresponding to the travel subsection is a car, judging whether there is a parking waiting working state;

[0020] S602, when there is a parking waiting working state, calculating a first traffic travel carbon emission amount of the car in the parking waiting working state;

[0021] S603, determining a second traffic travel carbon emission amount of the car in a driving state according to the second traffic travel carbon emission factor corresponding to the travel subsection and the distance of the travel subsection;

[0022] S604, determining a total traffic travel carbon emission amount corresponding to the travel subsection according to the first traffic travel carbon emission amount and the second traffic travel carbon emission amount.

[0023] In some embodiments, the first carbon emission data of the car in the parking waiting 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 comprises a printing ink carbon emission factor, and the processor is further configured to load a program to perform the following steps:

[0025] S7, determining the first printing carbon emission of the file according to the printing ink carbon emission factor and the total printing ink usage, wherein the total printing ink usage is determined according to the identification result by performing content identification on the electronic scan of the bidding material.

[0026] In some embodiments, the step of determining the total printing ink usage comprises:

[0027] S701, performing content identification on the electronic scan of the bidding material;

[0028] S702, when the identification result is that the printed page only has one type of printing content, then the first printing ink usage is calculated according to the unit printing ink usage corresponding to the printing content and the number of pages;

[0029] S703, when the identification result is that the printed page has at least two types of printing content, then the second printing ink usage of each printed page is calculated after calculating the printing ink usage required by different types of printing content on the printed page;

[0030] S704, determining the total printing ink usage according to the first printing ink usage and the second printing ink usage.

[0031] In some embodiments, the first carbon emission data further comprises a file printing carbon emission factor and / or a hotel accommodation carbon emission factor, and the processor is further configured to load a program to perform the following steps:

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

[0033] S9, determining the bidding carbon emission data of the bidder by combining the carbon emission of the traffic trip and the second file printing carbon emission and / or the hotel accommodation carbon emission.

[0034] In some embodiments, the processor is further configured to load a program to perform the following steps:

[0035] S10, obtaining the first carbon emission credit of the bidder;

[0036] S11, determining a second evaluation value according to the first carbon emission integral and the bid carbon emission data.

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

[0038] S1001, determining corresponding first project execution information from the tender document information;

[0039] S1002, in the case that the carbon account of the bidder is stored in the system processing platform, searching for historical project execution information corresponding to the first project execution information from the carbon account, and determining the first carbon emission integral according to the carbon emission integral corresponding to the historical project execution information;

[0040] S1003, in the case that the carbon account of the bidder is stored in the system processing platform and the historical project execution information corresponding to the first project execution information cannot be found from the carbon account, setting the first integral setting value as the first carbon emission integral;

[0041] S1004, in the case that the carbon account of the bidder is not stored in the system processing platform, setting the second integral setting value as the first carbon emission integral;

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

[0043] In a second aspect, the embodiments of the present application provide a carbon emission data error correction method, which comprises 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 contains the traffic travel data type, obtaining the corresponding travel section and travel time period from the traffic travel information of the target object;

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

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

[0047] S4, obtaining the corresponding first adjustment coefficient according to the environmental data and the type of the traffic tool corresponding to each travel sub-section;

[0048] S5, obtaining the second traffic travel carbon emission factor by adjusting the first traffic travel carbon emission factor by using the first adjustment coefficient;

[0049] S6, determine the total carbon emission of the target object according to the second traffic travel carbon emission factor corresponding to each travel sub-section and the distance of the travel sub-section.

[0050] The present application can achieve one of the following technical effects: the present application divides the travel section according to the environmental data to obtain a plurality of travel sub-sections, obtains the corresponding first adjustment coefficient according to the environmental data corresponding to each sub-section and the type of the vehicle, adjusts the baseline traffic travel carbon emission factor corresponding to the sub-section by using the first adjustment coefficient to obtain the second traffic travel carbon emission factor, and finally determines the total carbon emission of the target object by using the second traffic travel carbon emission factor corresponding to each travel sub-section and the distance of the travel sub-section. It can be seen that the present application can adjust the carbon emission factor of different vehicles according to the environmental conditions, which can improve the accuracy of the total carbon emission of the target object, so as to make the evaluation result of bidding more accurate and more comprehensive. BRIEF DESCRIPTION OF DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced.

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

[0053] Figure 2 A step flowchart of a carbon emission data error correction method is provided for the embodiments of the present application;

[0054] Figure 3 A specific processing step flowchart for the total carbon emission of traffic travel is provided for the embodiments of the present application;

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

[0056] In order to make the purpose, technical scheme and advantages of the present application more clear, the technical scheme of the present application will be described clearly and completely by embodiments 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 the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0057] Carbon emissions can cause serious harm to the environment, thus causing obvious negative impact on people's life, and therefore need to be improved and perfected from the aspects of technology, economy, policy, etc. to achieve carbon neutrality. In order to achieve this goal, enterprises in various fields need to formulate and promote the implementation of relevant carbon emission reduction actions. Therefore, the carbon emission of the enterprise itself and the project / product delivered by the enterprise can be used as one of the important evaluation factors of the enterprise itself. In the present scheme, the carbon emission of the enterprise itself is mainly considered as an auxiliary evaluation factor, which is the carbon emission generated by the bidding enterprise in the process of participating in the bidding (i.e. bidding carbon emission data).

[0058] The bidding carbon emission data includes the carbon emission of the transportation of the bidding party. Generally, the carbon emission of the transportation is determined according to the carbon emission factor of the transportation and the corresponding activity data, and the carbon emission factor is generally fixed during the calculation process. However, due to different environmental factors such as wind, snow, rain, temperature, etc., the unit energy consumption of the transportation tool will be different, and the corresponding carbon emission will be different. Therefore, the traditional determination and processing method of the carbon emission of the transportation will result in low accuracy of the processing result. Therefore, the present application provides a carbon emission data error correction method and system, which can improve the accuracy of the calculation result.

[0059] Reference Figure 1 A carbon emission data error correction system, the system comprises a first data retrieval interface, a second data retrieval interface and a system processing platform, and 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 described as follows.

[0060] The first data retrieval interface is mainly used to obtain first carbon emission data. The first carbon emission data includes a first transportation carbon emission factor. The carbon emission factor obtained through the interface is a reference factor, i.e. the carbon emission factor corresponding to different types of transportation tools under normal environmental conditions. The carbon emission factor refers to the greenhouse gas emission generated by unit energy consumption. In the present embodiment, since the content of carbon dioxide in greenhouse gas accounts for a high proportion, the carbon emission factor can specifically refer to the carbon dioxide emission generated by unit energy consumption. In an embodiment, the first transportation carbon emission factor is a reference carbon emission factor, which is mainly detected and identified by a professional third-party institution, and is generally stored in the terminal and / or platform of the third-party institution, and is read through the first data retrieval interface when needed.

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

[0062] Specifically, in this embodiment, the target object can include the bidder and / or the tenderer. If the carbon emissions of the traffic travel of the bidder need to be calculated and determined, the carbon emissions of the traffic travel of the bidder are obtained. Similarly, if the carbon emissions of the traffic travel of the tenderer need to be calculated and determined, the carbon emissions of the traffic travel of the tenderer are obtained.

[0063] In addition, the traffic travel information of the target object is obtained by detecting and acquiring the traffic travel of the target object. For example, after it is confirmed according to the tender document information that the carbon emissions of the traffic travel of the bidder need to be calculated, the electronic tendering system can send information for authorization verification to the APP terminal of the staff of the bidder to obtain authorization confirmation. Then, the GPS positioning information of the staff between the starting point and the destination can be uploaded to the corresponding traffic database for storage, wherein the GPS positioning information includes the position information, distance length, timestamp and other information of the travel section. In this way, when subsequent retrieval processing is needed, the corresponding information can be read from the traffic database through the second data retrieval interface.

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

[0065] Referring to Figure 2 The 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 carbon emission calculation data type can be identified and confirmed according to the content of the tender document information. For example, it is identified from the tender document information that personnel travel is required in this bidding and tendering, such as the bidder needs to deliver the paper tender to the corresponding address for delivery / stamping, or needs to go to a designated place for a meeting, etc., which indicates that the carbon emissions of the personnel traffic travel need to be calculated. When it is confirmed that this requirement exists, the staff of the bidder uploads the corresponding traffic travel information to the corresponding database, and then the traffic database is retrieved when the calculation processing is needed.

[0068] In addition, for the travel section, it can include the travel section between the address of the bidder and each address of the bidding and bidding activities, and / or the travel section between the hotel accommodation location and each address of the bidding and bidding activities in the business trip accommodation process. Of course, other travel sections that meet the set conditions can also be included in the calculation, which will not be described in detail here.

[0069] S2, according to the travel time period and the location of the travel section, determine the corresponding environmental data. Wherein, if the travel time period is relatively long, there can be at least two different environmental conditions for the corresponding travel section, for example, the environment on the corresponding travel section in the first 1-6 sub-time period is normal environmental condition, and the environment on the corresponding travel section in the 7-n sub-time period is strong wind and heavy rain environment, and the environment on the corresponding travel section in the n+1…2n sub-time period is small wind and small rain environment. Wherein, the greater the wind / rain / snow and other environmental conditions, 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 baseline value.

[0070] Further, when the travel distance of the business trip is very long and the vehicle needs to be changed during the journey, at this time, for the environmental data, it is necessary to determine the corresponding environmental data under the condition of using different types of vehicles according to the travel time period of different types of vehicles and the location of the travel section. For example, if the first half of the travel sub-section corresponds to a car and the second half corresponds to an airplane, one of the collected environmental data is meteorological data for low-altitude environment, and the other is meteorological data for high-altitude environment.

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

[0072] Specifically, in the case of long travel section and / or vehicle conversion, the environmental conditions corresponding to the entire travel section will change, and the adjustment degree of the baseline carbon emission factor will be different for different environmental conditions. That is, for step S3, it can be specifically divided into several travel sub-sections according to the environmental data and the type of vehicle, that is, one travel sub-section corresponds to one environmental condition and one type of vehicle.

[0073] In addition, since the type of vehicle used for each travel sub-section can be different, in order to accurately calculate the traffic carbon emission of each travel sub-section, it is necessary to determine the type of vehicle used for each travel sub-section, and then obtain the corresponding baseline traffic travel carbon emission factor through the first data retrieval interface.

[0074] S4, obtaining a first adjustment coefficient corresponding to each travel sub-road section according to the environmental data corresponding to each travel sub-road section and the vehicle type.

[0075] Specifically, for obtaining the first adjustment coefficient, the following two methods can be used. Method 1: Different environmental data and different vehicle types are taken as a first feature matrix, and then a mapping relationship between the first feature matrix and the corresponding adjustment coefficient is constructed (these are determined by using historical environmental data, vehicle type data, and historical actual carbon emission factors, etc. and stored in the database), so that the actual detected environmental data and vehicle type are taken as a second feature matrix, and then the similarity calculation method is used to find out 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 taken as the required adjustment coefficient. Method 2: The training model is used to estimate and determine the corresponding adjustment coefficient according to the real-time detected environmental data and vehicle type. It should be noted that the above two methods can be selected according to actual needs, and are not limited herein.

[0076] S5, adjusting the first traffic travel carbon emission factor by using the first adjustment coefficient to obtain a second traffic travel carbon emission factor.

[0077] Specifically, in the embodiment, the second traffic travel carbon emission factor can be determined according to the product of the first adjustment coefficient and the first traffic travel carbon emission factor, that is, the second traffic travel carbon emission factor can be the product of the first adjustment coefficient and the first traffic travel carbon emission factor.

[0078] S6, determining the total carbon emission amount C of the target object according to the second traffic travel carbon emission factor corresponding to each travel sub-road section and the distance of the travel sub-road section. t .

[0079] Specifically in the embodiment, i represents the second traffic travel carbon emission factor corresponding to the i-th travel sub-road section, and the unit is kgCO2 / KM, that is, the carbon emission amount corresponding to each kilometer of travel; D i represents the distance of the i-th travel sub-road section, and the unit is KM; n represents the total number of travel sub-road sections.

[0080] It can be seen that the above scheme can adapt to different environmental conditions to adjust the traffic travel carbon emission factor, so that the final calculation result of the total carbon emission amount of the target object is accurate.

[0081] ​In some embodiments, the environmental conditions change frequently and vary in degree, so in order to further improve the accuracy of the adjustment coefficient, a deep learning model is used to determine the adjustment coefficient. Then for step S4, it can specifically include the following steps.

[0082] S401, the environmental data and the vehicle type constitute the trip feature information matrix.

[0083] S402, the trip feature information matrix is input into the trained deep learning model for processing to obtain the corresponding first adjustment coefficient. Wherein, for the deep learning model, historical trip feature information is used as training input data, and the ratio between the historical actual traffic trip carbon emission factor and the benchmark traffic trip carbon emission factor is used as training output data, and then the training input data and the training output data are used to train the model, and after the error result is met, the model is the trained deep learning model.

[0084] In some embodiments, the type of vehicle includes at least an airplane, a high-speed train / train, a car, etc. Wherein, for the car, various situations may occur in the trip section, and the frequency and length of the parking waiting time are difficult to estimate, so if only the corresponding traffic trip carbon emission factor of the trip section and the trip distance are used to determine the final carbon emission of the car, the error result is larger. Therefore, the carbon emission generated by the car during parking waiting should also be added to the calculation process of the total carbon emission. It can be seen that for step S6, referring to Figure 3 , it can specifically include the following steps.

[0085] S601, when the vehicle of the trip sub-section is a car, it is determined whether there is a parking waiting working state.

[0086] Specifically, when the parking waiting working state is generally, the driving speed of the car is 0 or close to 0, so the determination can be made by detecting and judging the speed. Alternatively, if the car is in a parking waiting working state, the GSP positioning information will not change within a predetermined time period, so in order to improve the convenience of calculation and without the need to additionally add a data communication interface between the vehicle-mounted system, the determination step of the parking waiting working state in this embodiment can be specifically: when the positioning position in the GPS positioning information does not change, it can be determined that the car is in a parking waiting working state. And by this way, it is more beneficial to determine the duration of the parking waiting working state, that is, the parking waiting time. Specifically, the duration of the positioning position not changing is the parking waiting time.

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

[0088] S602, when there is a parking waiting working state, the first traffic travel carbon emission of the car in the parking waiting working state is calculated.

[0089] Specifically, when the car is in the parking waiting working state, the main carbon emission of the car comes from the energy consumption of the car, so in this embodiment, the first traffic travel carbon emission of the car in the parking waiting working state is determined according to the parking waiting time, the energy carbon emission factor and the energy consumption rate.

[0090] Further, the first traffic travel carbon emission C d = energy carbon emission factor * energy consumption rate * parking waiting time, wherein the unit of the energy carbon emission factor is kgCO2 / L, that is, the carbon emission generated by one liter of fuel consumption, the unit of the energy consumption rate is liter / hour, that is, the amount of fuel consumed per hour, and the unit of the parking waiting time is hour. Of course, if the car is a new energy car, the above energy is converted from fuel to electricity, that is, at this time the unit of the energy carbon emission factor is kgCO2 / kilowatt hour, that is, the carbon emission corresponding to 1 kilowatt hour, and the energy consumption rate is the power consumption of the car, which is kilowatt.

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

[0092] S604, according to the first traffic travel carbon emission and the second traffic travel carbon emission, the total traffic travel carbon emission corresponding to the travel sub-section is determined. In this way, by summing up the total traffic travel carbon emission corresponding to each travel sub-section, the final total traffic travel carbon emission of the target object is obtained. It can be seen that the accuracy of the total traffic travel carbon emission calculated by the above method is higher.

[0093] In some embodiments, the bidding carbon emission data of the bidder further includes a file printing carbon emission, wherein the file printing carbon emission includes a first file printing carbon emission and a second file printing carbon emission. In this embodiment, the first file printing carbon emission refers to the carbon emission generated based on the consumption of printing ink in file printing. Therefore, the first carbon emission data further includes a printing ink carbon emission factor, and the processor can be further used to load a program to perform the following steps.

[0094] S7, determining the first file printing carbon emission according to the printing ink carbon emission factor and the total printing ink usage, wherein the total printing ink usage is determined according to the identification result after the content of the electronic scanned tender material is identified.

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

[0096] In some embodiments, since the content printed on each printed page can include text, table, graphics, etc., when the content printed on the printed page contains at least two types, the amount of printing ink consumed for printing each type on a page will be different. In order to further improve the accuracy of the detection and identification result of the total printing ink usage, the content of each printed page needs to be identified, and the corresponding total printing ink usage is determined according to the identification result. Therefore, the determination step of the total printing ink usage can be as follows.

[0097] S701, identifying the content of the electronic scanned tender material.

[0098] Specifically, the identification result of the content can include that only one type of content such as text, table, picture, etc. is printed on a printed page, or at least two types of content such as text+picture, text+table, file+table+picture, etc. are printed on a printed page.

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

[0100] Specifically, the tender material generally has specific parameters such as font size, paragraph, and table cell size, so when the printed pages are of the same type of printing content, the printing ink usage required by the printed pages is basically fixed (the slight floating is ignored), therefore, for printed pages of only one type, the corresponding printing ink usage can be obtained by multiplying the unit printing ink usage (i.e. the printing ink usage required by a printed page) and the corresponding number of pages, i.e. the printing ink usage required by a printed page. For example, there are m printed pages of only text content on the paper of the tender material, so the total printing ink usage (i.e. the first printing ink usage) of this type of printed page can be unit printing ink usage*m.

[0101] Of course, the total printing ink usage can also be obtained by identifying the printing content on each printed page and then summing up the printing ink usage of each printed page. Compared with this method, the specific implementation steps of step S7 in the 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 printing content, the printing ink usage required by different types of printing content on the printed page is calculated, and the second printing ink usage of each printed page is calculated.

[0103] Specifically, under the premise of this identification result, each printed page needs to be identified to identify the occupying position and size of different types of printing content on the printed page, so as to determine the printing ink usage required by the printed page, and finally the printing ink usage corresponding to these printed pages is superimposed to obtain the second printing ink usage.

[0104] S704, according to the first printing ink usage and the second printing ink usage, the total printing ink usage is determined.

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

[0106] In some embodiments, the bid carbon emission data of the bidder 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 loaded with a program to perform the following steps.

[0107] S8, according to the file printing carbon emission factor and / or hotel accommodation carbon emission factor, the corresponding second file printing carbon emission and / or hotel accommodation carbon emission is determined.

[0108] S9, the traffic travel carbon emission, the second file printing carbon emission and / or the hotel accommodation carbon emission are combined to determine the bid carbon emission data of the bidder. That is, the bid carbon emission data of the bidder (i.e. the total bid carbon emission of the bidder) = traffic travel carbon emission + second file printing carbon emission + hotel accommodation carbon emission.

[0109] Further, since the file printing carbon emission also includes the first file printing carbon emission, the tender carbon emission data of the tender party (i.e. the total tender carbon emission of the tender party) = traffic travel carbon emission + first file printing carbon emission + second file printing carbon emission + hotel accommodation carbon emission. It can be seen that the total tender carbon emission of the tender party is determined in this way, which is more accurate and comprehensive, and is more conducive to achieving carbon neutralization effect.

[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 disposal carbon emission factor, and the hotel accommodation carbon emission is calculated by the following steps.

[0111] A1, determining the first electricity carbon emission according to the electricity carbon emission factor, the number of accommodation days, and the electricity consumption.

[0112] Specifically, the first electricity carbon emission C e = electricity carbon emission factor * number of accommodation days * electricity consumption, wherein the unit of the electricity carbon emission factor is kgCO2 / kWh, the number of accommodation days refers to the number of days of business travel accommodation of one person, and the unit is day, and the electricity consumption refers to the average electricity consumption of one person during hotel accommodation per day, and the unit is kWh / day. It can be seen that the electricity carbon emission of one person during business travel accommodation can be determined by this formula, so that the total electricity carbon emission can be determined according to the actual number of business travel and the number of accommodation days. The number of accommodation days can be determined according to the length of the activity, the length of the travel distance, and other factors, which is not limited here.

[0113] A2, determining 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, due to different weather and climate, heating and cooling may be involved, and the carbon emission caused by thermal energy consumption needs to be calculated. In this embodiment, the first thermal energy carbon emission C r = thermal energy consumption * number of accommodation days * thermal energy carbon emission factor; wherein the unit of the thermal energy carbon emission factor is kgCO2 / GJ, the unit of the thermal energy consumption is GJ / day, which represents the thermal energy consumption per day, and GJ represents gigajoule.

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

[0116] Specifically, in addition to the above-mentioned electricity and thermal energy, the garbage generated during accommodation will also produce corresponding carbon emission in the treatment process (such as incineration or landfill treatment). In this embodiment, the first waste disposal carbon emission C u= garbage amount * accommodation days * waste treatment carbon emission factor, wherein the unit of the waste treatment carbon emission factor is kgCO2 / kg, the unit of the garbage amount is kg / day, and the garbage amount represents the weight of garbage treated per day.

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

[0118] A4, determining the hotel accommodation carbon emission based on the first power carbon emission, the first heat carbon emission, and the first waste treatment carbon emission.

[0119] Specifically, in this embodiment, the hotel accommodation carbon emission is the sum of the first power carbon emission, the first heat carbon emission, and the first waste treatment carbon emission, i.e., hotel accommodation carbon emission = C e +C r +C u .

[0120] Further, in addition to the above-mentioned direct emission carbon emission, there is also an indirect emission carbon emission, such as the carbon emission generated for water resource treatment, so before step A4, there is also step A0, which is specifically: determining the first water treatment carbon emission C w .

[0121] wherein C w = water treatment carbon emission factor * accommodation days * water consumption, the unit of the water treatment carbon emission factor is kgCO2 / L, and the water consumption is L / day, which represents the number of liters of water treated per day. In this case, for the above-mentioned step A4, it is specifically: determining the hotel accommodation carbon emission based on the first power carbon emission, the first heat carbon emission, the first waste treatment carbon emission, and the first water treatment carbon emission, i.e., hotel accommodation carbon emission = C e +C r +C u +C w . It can be seen that the above-mentioned method can determine the total carbon emission generated by each person during the accommodation for several days, which can more accurately and comprehensively reflect the carbon emission situation, not only can help the bidder to understand the carbon emission situation of the accommodation in the participation of this bidding and tendering activity, but also can help the tenderer to determine whether it is necessary to optimize and adjust the related information of the bidding and tendering activity based on this situation, so as to realize the effect of overall carbon emission reduction of the bidding and tendering activity.

[0122] In some embodiments, the second file printing carbon emission amount can be calculated by the following steps.

[0123] B1, determining the number of required printed files according to the tender document information;

[0124] B2, determining the number of file pages, i.e. the number of file sheets, of each file according to the first bidding material data; wherein the first bidding material data mainly refers to the tender materials of the bidder;

[0125] B3, determining the total number of required printed files according to the number of file pages and the number of file sheets;

[0126] B4, determining the total weight of file printing according to the total number of file pages and the weight of each page;

[0127] B5, determining the second file printing carbon emission amount according to the file printing carbon emission factor and the total weight of file printing.

[0128] Specifically, in the present embodiment, the second file printing carbon emission amount Cp = P * W, wherein P represents the file printing carbon emission factor, and W represents the total weight of file printing.

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

[0130] S10, obtaining the first carbon emission credit of the bidder.

[0131] Specifically, the first carbon emission credit is mainly obtained according to the carbon emission reduction behavior of the bidder, for example, optimizing the facility equipment to reduce energy consumption and thereby reduce carbon emission, or optimizing the construction / management process to reduce the overall energy consumption required by the enterprise in the execution of the corresponding project or management process, thereby reducing carbon emission. It can be seen that the carbon emission credit is proportional to the carbon emission reduction amount (which can be referred to as carbon emission reduction amount), wherein the more the carbon emission reduction amount, the more the carbon emission credit obtained. As for how to detect different carbon emission reduction behaviors (which can include equipment itself, various processes such as construction process, management process, preparation process, etc.) to determine the carbon emission reduction amount and the corresponding carbon emission credit, it can be processed and determined according to the existing preset regulations, which will not be described in detail here. It can be seen that the carbon emission credit can be used to represent the carbon emission reduction capability of the enterprise, and if the carbon emission reduction behavior generated by the enterprise belongs to any execution link of the tender project, it can further ensure that the enterprise can achieve the effect of emission reduction when implementing the project subsequently.

[0132] In addition, the carbon emission integrals corresponding to different carbon emission reduction behaviors of different enterprises are stored on the system processing platform, so that the data can be quickly queried and read, and the carbon emission integrals of different enterprises can be quickly reviewed and rewarded (such as certificate rewards, prize rewards, etc.) in the future, thereby facilitating the implementation and execution of carbon emission reduction concepts and policies in enterprises.

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

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

[0135] S1002, in the case that the carbon account of the bidder is stored in the determination system processing platform, finding out the historical project execution information corresponding to the first project execution information from the carbon account, and determining the first carbon emission reduction integral according to the carbon emission reduction integral 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 the corresponding carbon emission reduction integral, so that the first feature of the carbon emission reduction behavior information can be extracted, and then the similarity between the extracted first feature and the first project feature can be calculated to obtain the historical project execution information that is most matched (i.e. has the highest similarity) with the project execution information. For the calculation of similarity, the specific calculation steps can be: inputting the first project feature and the extracted first feature into a project information input matrix, then inputting it into a project information training model for processing, and then obtaining the similarity coefficient between the two, and then determining the historical project execution information with the highest matching degree according to the first feature corresponding to the maximum similarity, so that the first carbon emission reduction integral can be determined according to the carbon emission reduction integral corresponding to the historical project execution information. In addition, in some embodiments, different project features can be divided in the project engineering, such as equipment, preparation / construction process, etc. If the carbon account of the bidder has the carbon emission reduction behavior that is most matched with the equipment optimization in the first project execution information, then it is taken as the first carbon emission reduction integral. If the carbon account of the bidder also has the carbon emission reduction behavior that is most matched with the construction process optimization in the first project execution information, then the carbon emission reduction integrals corresponding to the carbon emission reduction behaviors related to the equipment and the construction process are used to determine the first carbon emission reduction integral.

[0137] S1003. 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 credit setting value shall be used as the first carbon emission reduction credit.

[0138] 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.

[0139] S1004. 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.

[0140] 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.

[0141] It can be seen that the first carbon emission integral corresponding to the bidding party is determined by using the above-mentioned embodiments, so that the accuracy and rationality of the subsequent evaluation and approval processing result can be improved.

[0142] S11, determining a second evaluation value according to the first carbon emission integral and the bidding carbon emission data. The bidding carbon emission data is mainly used to determine a bidding carbon emission score corresponding to the bidding enterprise. The bidding carbon emission score and the bidding carbon emission data are in inverse proportional relationship. The greater the value of the bidding carbon emission data, the lower the corresponding carbon emission score.

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

[0144] S1101, determining a bidding carbon emission score according to the bidding carbon emission data.

[0145] Specifically, the bidding carbon emission data is the carbon emission amount generated by the bidding enterprise in the bidding and tendering activity. The greater the carbon emission amount, the smaller the corresponding bidding carbon emission score, that is, the bidding carbon emission data and the bidding carbon emission score are in inverse proportional relationship.

[0146] S1102, determining a second evaluation value according to the first carbon emission integral and the bidding carbon emission score. The first carbon emission integral and the bidding carbon emission score are in proportional relationship with the second evaluation value.

[0147] Specifically, the step S1102 can specifically include: summing the first carbon emission integral and the bidding carbon emission score, and then determining the second evaluation value according to the summation result, for example, directly taking the summation result as the second evaluation value. Alternatively, the step S1102 can specifically include: S11021, calculating a first product result between the first carbon emission integral and a first weight coefficient k1 corresponding thereto; S11022, calculating a second product result between the bidding carbon emission score and a second weight coefficient k2 corresponding thereto; S11023, summing the first product result and the second product result, and then determining the second evaluation value according to the summation result. For example, the second evaluation value V1=k1*first carbon emission integral d+k2*bidding carbon emission score e, wherein k1 is the first weight coefficient, k2 is the second weight coefficient, and considering that the importance of the carbon emission integral is higher than that of the bidding carbon emission score, k1 is greater than k2. It can be seen that the second evaluation value required finally is determined in this way, which is more accurate and reasonable.

[0148] In some embodiments, the processor can also be used to load a program to perform the following steps:

[0149] C1, determining a second carbon emission amount of the bidding party in combination with the bidding document information and the first bidding material data.

[0150] Specifically, for the second carbon emission of the above-mentioned tenderer, it is determined according to the second carbon emission data, wherein the second carbon emission data includes a file printing carbon emission factor, a printing ink carbon emission factor, a traffic travel carbon emission factor, a hotel accommodation carbon emission factor and a conference carbon emission factor, that is, the second carbon emission of the tenderer includes a file printing carbon emission, a traffic travel carbon emission, a hotel accommodation carbon emission and a conference carbon emission. The calculation formula of the file printing carbon emission, the traffic travel carbon emission and the hotel accommodation carbon emission is the same as the calculation formula of the carbon emission of the above-mentioned tenderer, and only the corresponding parameters such as the required printed material content, the printed file copies, the travel distance and the accommodation days need to be changed to the corresponding parameters of the tenderer. As for the conference carbon emission, it is mainly based on the corresponding carbon emission generated by the electricity used during the conference, so the conference carbon emission C m = conference carbon emission factor * conference duration * conference electricity consumption, wherein the unit of the conference carbon emission factor is kgCO2 / kilowatt hour, the unit of the conference electricity consumption is kilowatt hour / hour, that is, the average electricity consumption per hour, and the unit of the conference duration is h, which can be determined according to the historical tendering and bidding information to determine the duration of different types of conferences in different stages.

[0151] C2, in the case that the second carbon emission of the tenderer is greater than the carbon emission setting value, the corresponding carbon emission reduction suggestion strategy is displayed.

[0152] Specifically, according to the content of the above-mentioned step C1, the second carbon emission of the tenderer is determined by the file printing carbon emission, the traffic travel carbon emission, the hotel accommodation carbon emission and the conference carbon emission, wherein the sum of them is used as the final second carbon emission. By comparing the second carbon emission, the file printing carbon emission, the traffic travel carbon emission, the hotel accommodation carbon emission and the conference carbon emission with the corresponding carbon emission setting value respectively, it can be determined whether they exceed the corresponding warning value, and if so, the corresponding carbon emission reduction suggestion strategy is displayed according to the size of the exceeded value, so as to facilitate the tenderer to quickly optimize and adjust the tendering and bidding activities to achieve the carbon emission reduction effect of the tendering and bidding activities.

[0153] Referring to Figure 4 A carbon emission data error correction system, the system comprises:

[0154] The first obtaining processing unit is configured to, in the process of calculating the carbon emission evaluation value, obtain a corresponding travel section and a travel time period from the travel information of the target object when it is determined that the required carbon emission calculation data type comprises the travel data type;

[0155] The first determining processing unit is configured to determine corresponding environmental data according to the travel time period and the location of the travel section;

[0156] The first dividing processing unit is configured to divide the travel section into a plurality of travel sub-sections according to the environmental data, and obtain a first travel carbon emission factor corresponding to each travel sub-section through the first data calling interface;

[0157] The second obtaining processing unit is configured to obtain a first adjustment coefficient according to the environmental data corresponding to each travel sub-section and the type of the vehicle;

[0158] The first adjustment processing unit is configured to obtain a second travel carbon emission factor by adjusting the first travel carbon emission factor using the first adjustment coefficient;

[0159] The second determining processing unit is configured to determine the total carbon emission of the travel of the target object according to the second travel carbon emission factor corresponding to each travel sub-section and the distance of the travel sub-section.

[0160] Since the units of the system embodiment correspond to the above method steps one by one, the system of the present embodiment has the same beneficial effects as the above method embodiments, which will not be described in detail here.

[0161] In addition, the present application also provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the steps of the above method embodiment. Wherein, the method herein comprises a carbon emission data collection method and / or a carbon emission data auditing method.

[0162] The number of the processor mentioned in the storage medium embodiment and the system embodiment can be at least one, and the processor can execute at least one step in the method embodiment. When the number of the processor is at least two, the at least two processors can be communicatively connected, which is not limited to wired or wireless communication connection. In addition, the processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) 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.

[0163] Finally, it should be understood that the size of the serial number of each step in the above embodiments does not mean the order of execution, and the execution order of each process should be determined according to its function and inherent 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 the preferred embodiments of the present application and the technical principles applied. Those skilled in the art will understand that the present application is not limited to the specific embodiments described herein, and those skilled in the art can make various obvious changes, readjustments and substitutions without departing from the scope of the present application. Therefore, although the present application has been described in more detail through the above embodiments, the present application is not limited to the above embodiments, and can 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: The first data retrieval interface is used to obtain the first carbon emission data, which includes the first transportation carbon emission factor. The second data retrieval interface is used to obtain the target object's travel information. The system processing platform includes at least one processor for loading programs to perform the following steps: S1. In the process of calculating carbon emission assessment values, when it is determined that the required carbon emission calculation data type includes transportation data type, the corresponding travel segments and travel time periods are obtained from the transportation information of the target object. S2. Determine the corresponding environmental data based on the travel time period and the location of the travel route; S3. Based on environmental data, the travel route is divided into several travel sub-segments. The first transportation carbon emission factor corresponding to each travel sub-segment is obtained through the first data retrieval interface. S4. Based on the environmental data and vehicle type corresponding to each sub-segment, the corresponding first adjustment coefficient is obtained; step S4 specifically includes the following steps: S401. Construct a travel characteristic information matrix from environmental data and vehicle type; S402. Input the travel feature information matrix into the trained deep learning model for processing to obtain the corresponding first adjustment coefficient; S5. After adjusting the first transportation carbon emission factor using the first adjustment coefficient, the second transportation carbon emission factor is obtained. S6. Based on the second transportation carbon emission factor corresponding to each travel sub-segment and the distance of the travel sub-segment, determine the total transportation carbon emissions of the target object; step S6 specifically includes the following steps: S601. When the mode of transportation corresponding to the travel sub-segment is a car, the GPS positioning information is used to determine whether there is a parking waiting working state; the first traffic carbon emission of the car in the parking waiting working state is determined based on the parking waiting time, energy carbon emission factor and energy consumption rate. S602. When a parking waiting working state exists, calculate the carbon emissions of the vehicle's first transportation trip under the parking waiting working state. S603. Determine the carbon emission amount of the vehicle's second transportation trip under the driving state based on the carbon emission factor of the second transportation trip corresponding to the travel sub-segment and the distance of the travel sub-segment. S604. Based on the carbon emissions of the first and second transportation trips, determine the total carbon emissions of the transportation trip corresponding to the sub-segment.

2. The system as described in claim 1, characterized in that, The first carbon emission data also includes a carbon emission factor for printing ink, and the processor can also be used to load a program to perform the following steps: S7. Determine the carbon emission amount of the first document printing based on the carbon emission factor of the printing ink and the total amount of printing ink used. The total amount of printing ink used is determined by content recognition of the electronic scan of the tender materials and the recognition results.

3. The system as described in claim 2, characterized in that, The steps for 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 identification result is that the printed page contains only one type of printed content, then the first printing ink usage is calculated according to the unit printing ink usage and the number of pages corresponding to that printing content. S703. When the identification result is that the printed page contains at least two types of printed content, then calculate the amount of printing ink required for each type of printed content on the printed page, and then calculate the second amount of printing ink used for each printed page. S704. Determine the total amount of printing ink used based on the first and second printing ink usage amounts.

4. The system as described in claim 1, characterized in that, The first carbon emission data also includes carbon emission factors for document printing and / or hotel accommodations, and the processor can also be used to load a program to perform the following steps: S8. Based on the carbon emission factor of document printing and / or the carbon emission factor of hotel accommodation, determine the corresponding carbon emission amount of the second document printing and / or the carbon emission amount of hotel accommodation. S9. Combine the carbon emissions from transportation, the carbon emissions from printing second documents, and / or the carbon emissions from hotel accommodations to determine the bidder's bid carbon emissions data.

5. The system as described in claim 4, characterized in that, The processor can also be used to load programs to perform the following steps: S10, Obtain the first carbon emission credits from the bidder; S11. Determine the second evaluation value based on the first carbon emission credit and the bid carbon emission data.

6. The system as described in claim 5, characterized in that, Step S10 specifically includes the following steps: S1001. Determine the corresponding first project execution information from the information in the bidding documents; S1002. 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. S1003. 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. S1004. 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 integral setting value is greater than or equal to the second integral setting value.

7. A method for correcting carbon emission data errors, characterized in that, The method includes the following steps: S1. In the process of calculating carbon emission assessment values, when it is determined that the required carbon emission calculation data type includes transportation data type, the corresponding travel segments and travel time periods are obtained from the transportation information of the target object. S2. Determine the corresponding environmental data based on the travel time period and the location of the travel route; S3. Based on environmental data, the travel route is divided into several travel sub-segments. The first transportation carbon emission factor corresponding to each travel sub-segment is obtained through the first data retrieval interface. S4. Based on the environmental data and vehicle type corresponding to each sub-segment, the corresponding first adjustment coefficient is obtained; step S4 specifically includes the following steps: S401. Construct a travel characteristic information matrix from environmental data and vehicle type; S402. Input the travel feature information matrix into the trained deep learning model for processing to obtain the corresponding first adjustment coefficient; S5. After adjusting the first transportation carbon emission factor using the first adjustment coefficient, the second transportation carbon emission factor is obtained. S6. Based on the second transportation carbon emission factor corresponding to each travel sub-segment and the distance of the travel sub-segment, determine the total transportation carbon emissions of the target object; step S6 specifically includes the following steps: S601. When the mode of transportation corresponding to the travel sub-segment is a car, the GPS positioning information is used to determine whether there is a parking waiting working state; the first traffic carbon emission of the car in the parking waiting working state is determined based on the parking waiting time, energy carbon emission factor and energy consumption rate. S602. When a parking waiting working state exists, calculate the carbon emissions of the vehicle's first transportation trip under the parking waiting working state. S603. Determine the carbon emission amount of the vehicle's second transportation trip under the driving state based on the carbon emission factor of the second transportation trip corresponding to the travel sub-segment and the distance of the travel sub-segment. S604. Based on the carbon emissions of the first and second transportation trips, determine the total carbon emissions of the transportation trip corresponding to the sub-segment.

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