Carbon emission reduction estimation method, device, electronic device, and storage medium for freight platform

Abstract

The present invention provides a method, device, electronic device, and storage medium for estimating carbon emissions reduction of a freight platform. The method includes: obtaining the historical transportation data of platform drivers and the historical transportation data of non-platform drivers; calculating the total carbon emissions of platform drivers and the total turnover volume of platform drivers; calculating the unit carbon emissions of platform drivers; calculating the total carbon emissions of non-platform drivers and the total turnover volume of non-platform drivers; calculating the unit carbon emissions of non-platform drivers; calculating the conversion ratio of the turnover volume of platform drivers; and taking the product of the difference between the unit carbon emissions of platform drivers and the unit carbon emissions of non-platform drivers and the conversion ratio of the turnover volume of platform drivers as the unit carbon emissions reduction amount of the freight platform. The present invention realizes the estimation of carbon emissions reduction based on the freight platform.

Description

Background Art

[0002] At present, the estimation of carbon emissions reduction is calculated based on the engine operating conditions. However, large transportation enterprises or online freight platforms (collectively referred to as "freight platforms" or "platforms" hereinafter) need to more accurately estimate the carbon emissions reduction of multiple vehicle types and a large number of vehicles. Currently, there is no carbon emissions reduction estimation method based on freight platforms.

[0003] Therefore, how to achieve the estimation of carbon emissions reduction based on freight platforms is a technical problem that needs to be urgently solved by those skilled in the art. Summary of the Invention

[0004] In order to overcome the defects existing in the above related technologies, the present invention provides a carbon emissions reduction estimation method, device, electronic device, and storage medium for a freight platform, so as to realize the estimation of carbon emissions reduction based on the freight platform.

[0005] According to one aspect of the present invention, there is provided a carbon emissions reduction estimation method for a freight platform, including:

[0006] Obtaining the historical transportation data of platform drivers and the historical transportation data of non-platform drivers;

[0007] Calculating the total carbon emissions and the total turnover volume of platform drivers according to the historical transportation data of the platform drivers;

[0008] Calculating the unit carbon emissions of platform drivers according to the ratio of the total carbon emissions of platform drivers to the total turnover volume of platform drivers;

[0009] Calculating the total carbon emissions and the total turnover volume of non-platform drivers according to the historical transportation data of the non-platform drivers;

[0010] Calculating the unit carbon emissions of non-platform drivers according to the ratio of the total carbon emissions of non-platform drivers to the total turnover volume of non-platform drivers;

[0011] Calculating the turnover volume conversion ratio of platform drivers according to the ratio of the total turnover volume of platform drivers to the turnover volume of platform orders of platform drivers;

[0012] Taking the product of the difference between the unit carbon emissions of platform drivers and the unit carbon emissions of non-platform drivers and the turnover volume conversion ratio of platform drivers as the unit carbon emissions reduction of the freight platform.

[0013] In some embodiments of the present application, after taking the product of the difference between the unit carbon emissions of platform drivers and the unit carbon emissions of non-platform drivers and the turnover volume conversion ratio of platform drivers as the unit carbon emissions reduction of the freight platform, it further includes:

[0014] Calculate the total carbon emissions reduction of the freight platform within a set time period based on the product of the unit carbon emissions reduction of the freight platform and the total turnover of the platform orders of the freight platform within the set time period.

[0015] In some embodiments of the present application, the total carbon emissions of the platform driver are calculated based on the sum of the carbon emissions of the platform driver's pure empty driving trips, the carbon emissions of the non-empty driving trips of the platform driver's platform orders, and the carbon emissions of the non-empty driving trips of the platform driver's non-platform orders. The total turnover of the platform driver is calculated based on the sum of the turnover of the platform driver's platform orders and the turnover of the platform driver's non-platform orders.

[0016] In some embodiments of the present application, the total carbon emissions of the non-platform driver are calculated based on the sum of the carbon emissions of the non-platform driver's pure empty driving trips and the carbon emissions of the non-empty driving trips of the non-platform driver's non-platform orders. The total turnover of the non-platform driver is the total turnover of the non-platform driver's non-platform orders.

[0017] In some embodiments of the present application, the freight platform carbon emissions reduction estimation method calculates the unit carbon emissions reduction of the freight platform for different vehicle types and calculates the total carbon emissions reduction of the freight platform based on the unit carbon emissions reduction of the freight platform for different vehicle types.

[0018] According to another aspect of the present application, there is also provided a freight platform carbon emissions reduction estimation method, including:

[0019] Calculate the carbon emissions savings coefficient of the freight platform based on the full-load rate of the entire journey of the platform driver, the full-load rate of the entire journey of the non-platform driver, and the ratio of the total vehicle weight when the vehicle object is fully loaded to when it is empty.

[0020] Calculate the carbon footprint of the freight platform based on the total turnover of the platform orders of the freight platform.

[0021] Calculate the total carbon emissions reduction of the freight platform based on the product of the carbon footprint of the freight platform and the carbon emissions savings coefficient.

[0022] According to another aspect of the present application, there is also provided a freight platform carbon emissions reduction estimation method, including:

[0023] Calculate the baseline scenario emissions for a set time period.

[0024] Calculate the project activity emissions within the set time period. The project activity emissions include the emissions generated by the operation of freight vehicles and the emissions generated by the operation of the intelligent matching system in the project activities within the set time period.

[0025] Calculate the difference between the emissions of the project activities and the emissions of the baseline scenario as the carbon emission reduction of the freight platform within the set time period.

[0026] In some embodiments of the present application, the emissions of the baseline scenario within the set time period are calculated based on the total mileage completed by each truck type using each fuel type under the baseline scenario within the set time period and the emission factor per kilometer of each truck type using each fuel type under the baseline scenario within the set time period;

[0027] In the project activities within the set time period, the emissions generated by truck operations are calculated based on the total mileage completed by each truck type using each fuel type in the project activities within the set time period and the emission factor per kilometer of each truck type using each fuel type in the project activities within the set time period.

[0028] In some embodiments of the present application, the total mileage completed by each truck type using each fuel type under the baseline scenario within the set time period is calculated based on the freight turnover volume completed by each truck type using each fuel type under the baseline scenario within the set time period, the load factor of each truck type using each fuel type under the baseline scenario within the set time period when completing the same freight turnover volume as the project activities, and the rated loading capacity of each truck type using each fuel type within the set time period;

[0029] In the project activities within the set time period, the total mileage completed by each truck type using each fuel type is calculated based on the freight turnover volume completed by each truck type using each fuel type in the project activities within the set time period, the load factor of each truck type using each fuel type in the project activities within the set time period, and the rated loading capacity of truck type j using fuel type i in the project activities within the set time period.

[0030] In some embodiments of the present application, the emission factor per kilometer of each truck type using each fuel type under the baseline scenario within the set time period is calculated based on the following values:

[0031] The load factor of each truck type using each fuel type under the baseline scenario within the set time period;

[0032] The ratio of the emission factor per kilometer when the truck is empty to the emission factor per kilometer when the truck is fully loaded for each truck type using each fuel type under the baseline scenario within the set time period; and

[0033] The emission factor per kilometer when each truck type using each fuel type is fully loaded under the baseline scenario within the set time period;

[0034] In the project activities within the set time period, the emission factors per kilometer for each truck type using each fuel type are calculated based on the following values:

[0035] The load factor of each truck type using each fuel type in the project activities within the set time period;

[0036] The ratio of the emission factor per kilometer when the truck is empty to the emission factor per kilometer when the truck is fully loaded for each truck type using each fuel type in the project activities within the set time period; and

[0037] The emission factor per kilometer when the truck is fully loaded for each truck type using each fuel type in the project activities within the set time period.

[0038] In some embodiments of the present application, in the project activities within the set time period, the emissions generated by the operation power consumption of the intelligent matching system are calculated based on the following values:

[0039] The power consumption of the operation of the intelligent matching system in the project activities within the set time period; and

[0040] The grid emission factor in the project activities within the set time period.

[0041] According to another aspect of the present application, there is also provided a carbon emission reduction estimation device for a freight platform, including:

[0042] An acquisition module configured to acquire the historical transportation data of platform drivers and the historical transportation data of non-platform drivers;

[0043] A first calculation module configured to calculate the total carbon emissions and the total turnover volume of platform drivers based on the historical transportation data of the platform drivers;

[0044] A second calculation module configured to calculate the unit carbon emissions of platform drivers according to the ratio of the total carbon emissions of platform drivers to the total turnover volume of platform drivers;

[0045] A third calculation module configured to calculate the total carbon emissions and the total turnover volume of non-platform drivers based on the historical transportation data of the non-platform drivers;

[0046] A fourth calculation module configured to calculate the unit carbon emissions of non-platform drivers according to the ratio of the total carbon emissions of non-platform drivers to the total turnover volume of non-platform drivers;

[0047] A fifth calculation module configured to calculate the turnover volume conversion ratio of platform drivers according to the ratio of the total turnover volume of platform drivers to the turnover volume of platform orders of platform drivers;

[0048] The sixth calculation module is configured to use the product of the difference between the unit carbon emissions of the platform drivers and the unit carbon emissions of the non-platform drivers and the turnover conversion ratio of the platform drivers as the unit carbon emission reduction amount of the freight platform.

[0049] According to another aspect of the present application, there is also provided a device for estimating carbon emission reduction of a freight platform, including:

[0050] The seventh calculation module is configured to calculate the carbon emission saving coefficient of the freight platform according to the full-load rate of the whole journey of the platform drivers, the full-load rate of the whole journey of the non-platform drivers, and the ratio of the total vehicle weight when the vehicle object is fully loaded and when it is empty.

[0051] The eighth calculation module is configured to calculate the carbon footprint of the freight platform according to the total turnover of the platform orders of the freight platform.

[0052] The ninth calculation module is configured to calculate the total carbon emission reduction amount of the freight platform according to the product of the carbon footprint of the freight platform and the carbon emission saving coefficient.

[0053] According to another aspect of the present application, there is also provided a device for estimating carbon emission reduction of a freight platform, including:

[0054] The tenth calculation module is configured to calculate the baseline scenario emissions for a set time period.

[0055] The eleventh calculation module is configured to calculate the project activity emissions within a set time period, where the project activity emissions include the emissions generated by the operation of freight trucks and the emissions generated by the power consumption of the intelligent matching system operation during the project activities within the set time period.

[0056] The twelfth calculation module is configured to calculate the difference between the project activity emissions and the baseline scenario emissions as the carbon emission reduction amount of the freight platform during the set time period.

[0057] According to another aspect of the present invention, there is also provided an electronic device, which includes: a processor; a storage medium, on which a computer program is stored, and when the computer program is run by the processor, it executes the steps as described above.

[0058] According to another aspect of the present invention, there is also provided a storage medium, on which a computer program is stored, and when the computer program is run by a processor, it executes the steps as described above.

[0059] Compared with the prior art, the advantages of the present invention are:

[0060] The present invention obtains the historical transportation data of platform drivers and the historical transportation data of non-platform drivers, and calculates the unit carbon emission reduction amount of the freight platform based on these historical transportation data, so as to facilitate the estimation of the carbon emission reduction amount of the freight platform.

[0061] The present invention calculates the total carbon emission reduction amount of the freight platform according to the full-load rate of the whole journey of platform drivers, the full-load rate of the whole journey of non-platform drivers, the ratio of the total vehicle weight when the vehicle object is fully loaded and when it is empty, and the carbon footprint of the freight platform. Thus, it is convenient to estimate the carbon emission reduction amount of the freight platform.

[0062] The present invention takes the difference between the baseline scenario emissions in a set time period and the project activity emissions in the set time period as the carbon emission reduction amount of the freight platform in the set time period. Thus, it is convenient to estimate the carbon emission reduction amount of the freight platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] By referring to the accompanying drawings and describing its exemplary embodiments in detail, the above and other features and advantages of the present invention will become more obvious.

[0064] Figure 1 The flowchart of a method for estimating carbon emission reduction of a freight platform according to an embodiment of the present invention is shown.

[0065] Figure 2 The schematic diagram of the vehicle driving trajectory according to another embodiment of the present invention is shown.

[0066] Figure 3 The flowchart of a method for estimating carbon emission reduction of a freight platform according to another embodiment of the present invention is shown.

[0067] Figure 4 The flowchart of a method for estimating carbon emission reduction of a freight platform according to still another embodiment of the present invention is shown.

[0068] Figure 5 The block diagram of a device for estimating carbon emission reduction of a freight platform according to an embodiment of the present invention is shown.

[0069] Figure 6 The block diagram of a device for estimating carbon emission reduction of a freight platform according to another embodiment of the present invention is shown.

[0070] Figure 7 The block diagram of a device for estimating carbon emission reduction of a freight platform according to still another embodiment of the present invention is shown.

[0071] Figure 8 The schematic diagram of a computer-readable storage medium in an exemplary embodiment of the present invention is schematically shown.

[0072] Figure 9 The schematic diagram of an electronic device in an exemplary embodiment of the present invention is schematically shown. Detailed Implementation Modes

[0073] Example implementation modes will now be described more fully with reference to the accompanying drawings. However, the example implementation modes can be implemented in various forms and should not be construed as limited to the examples set forth herein; rather, these implementation modes are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example implementation modes to those skilled in the art. The described features, structures, or characteristics can be combined in any suitable manner in one or more implementation modes.

[0074] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus repeated descriptions thereof will be omitted. Some of the block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0075] The flowcharts shown in the accompanying drawings are only illustrative and do not necessarily include all steps. For example, some steps can be decomposed, while some steps can be combined or partially combined. Therefore, the actual execution order may be changed according to the actual situation.

[0076] The principle of the present invention mainly lies in:

[0077] The essence of vehicle fuel consumption is that the engine does work to overcome friction, and the friction is proportional to the total weight of the vehicle. Therefore, it can be assumed that the fuel consumption of the vehicle increases linearly with the vehicle weight. When the vehicle is unloaded, the vehicle weight is t 0 , and the carbon emission per kilometer is c 0 ; when the vehicle load is t, the total vehicle weight is t 0 +t, and the corresponding carbon emission per kilometer at this time is K is a coefficient.

[0078] Based on the linear relationship between the total vehicle weight and the fuel consumption, if there are multiple vehicles combined instead of a single vehicle length and vehicle model, when the distribution of various vehicles is determined, an abstract "general transport vehicle" (or it can be called a vehicle object) can be defined, which has the following characteristics:

[0079] The vehicle weight when unloaded is t 0 ;

[0080] The carbon emission per kilometer when unloaded is c 0 ;

[0081] The load when fully loaded is t F ;

[0082] The total vehicle weight is t 0 +t F ;

[0083] The carbon emission per kilometer when fully loaded is

[0084] Furthermore, it can be assumed that the actual load of the vehicle object is t, and the full-load rate of the vehicle is defined as At this time, its carbon emission per kilometer is

[0085]

[0086] This formula shows that if the vehicle object transports t tons of goods for l kilometers at the full-load rate The total carbon emission is equivalent to the sum of the carbon emissions when it travels rl kilometers under full-load conditions and (1 - r)l kilometers under no-load conditions.

[0087] Define Q as the ratio of the emission factor per kilometer under no-load and the emission factor per kilometer under full-load for each vehicle type, that is Then the above formula can be simplified to:

[0088]

[0089] Based on the above principle, this application provides a carbon emission reduction estimation method for a freight platform. First, refer to Figure 1 and Figure 2 , Figure 1 which shows the flowchart of the carbon emission reduction estimation method for a freight platform according to an embodiment of the present invention; Figure 2 which shows the schematic diagram of the vehicle driving trajectory according to another embodiment of the present invention.

[0090] The carbon emission reduction estimation method for a freight platform includes the following steps:

[0091] Step S110: Obtain the historical transportation data of platform drivers and the historical transportation data of non-platform drivers.

[0092] In some embodiments, the historical transportation data of platform drivers and the historical transportation data of non-platform drivers can be obtained in the form of random sampling.

[0093] Specifically, taking a platform driver as an example below, the historical transportation data of platform drivers (the historical transportation data of non-platform drivers is similar) is described:

[0094] Assume that the route traveled by a randomly sampled platform driver is as Figure 2 shown, where l 1 、l 3 、l 5 、l 7 、l 9is the actual transportation mileage of the platform driver, l 2 , l 4 , l 6 , l 8 is the pure empty driving distance between the unloading location of the platform driver and the loading location of the next order.

[0095] If the actual full load ratio r 1 , r 3 , r 5 , r 7 , r 9 of each transportation process is known, then according to the above principle, the carbon emissions of each section of the platform driver are:

[0096] The first section: r 1 l 1 c F +(1 - r 1 )l 1 c 0 , and the transport turnover volume is r 1 l 1 t F ;

[0097] The second section: l 2 c 0 , and the transport turnover volume is 0;

[0098] The third section: r 3 l 3 c F +(1 - r 3 )l 3 c 0 , and the transport turnover volume is r 3 l 3 t F ;

[0099] The fourth section: l 4 c 0 , and the transport turnover volume is 0;

[0100] ……

[0101] The ninth section: r 9 l 9 c F +(1 - r 9 )l 9 c 0 , and the transport turnover volume is r 9 l 9 t F .

[0102] Thus, the historical transportation data (carbon emissions and transport turnover volume of each section) of platform drivers and the historical transportation data (carbon emissions and transport turnover volume of each section) of non-platform drivers can be obtained in the above manner.

[0103] Specifically, during the transportation journey of a platform driver, if a certain section can be clearly identified as an empty load, then the full load rate of the order is 0, that is, r i = 0; if the order is not a freight platform, the average full load rate of non-platform waybills can be used ( The value of can be estimated by the average value obtained through methods such as experiments or investigations) to estimate; if it is an order of a freight platform, the actual cargo weight t can be obtained according to the order data of the platform order i , and use to calculate the full load rate of the platform waybill.

[0104] Step S120: Calculate the total carbon emissions and the total turnover of the platform driver according to the historical transportation data of the platform driver.

[0105] Specifically, the total turnover of the platform driver is calculated based on the sum of the turnover of the platform waybills of the platform driver and the turnover of the non-platform waybills of the platform driver.

[0106] Specifically, the total turnover T 平 of the platform driver can be expressed by the following formula:

[0107]

[0108] The turnover of the platform waybills of the platform driver is: 平平

[0109]

[0110] Specifically, the total carbon emissions of the platform driver are calculated based on the sum of the carbon emissions of the pure empty load journey of the platform driver, the carbon emissions of the non-empty load journey of the platform waybills of the platform driver, and the carbon emissions of the non-empty load journey of the non-platform waybills of the platform driver.

[0111] Specifically, the unit carbon emissions C 平 of the platform driver can be expressed by the following formula:

[0112]

[0113] Step S130: Calculate the unit carbon emissions of the platform driver according to the ratio of the total carbon emissions of the platform driver to the total turnover of the platform driver.

[0114] Specifically, according to the aforementioned formula, the unit carbon emissions of the platform driver are:

[0115] ​Step S140: Calculate the total carbon emissions and total turnover volume of non-platform drivers based on the historical transportation data of non-platform drivers.

[0116] Specifically, the total turnover volume of non-platform drivers is the total turnover volume of non-platform orders of non-platform drivers.

[0117] Specifically, the total turnover volume T 非 of non-platform drivers can be calculated using the following formula:

[0118]

[0119] Specifically, the total carbon emissions of non-platform drivers are calculated based on the sum of the carbon emissions of the pure empty-load trips of non-platform drivers and the carbon emissions of the non-empty-load trips of non-platform orders of non-platform drivers.

[0120] Specifically, the total carbon emissions C 非 of non-platform drivers can be calculated using the following formula:

[0121]

[0122] Step S150: Calculate the unit carbon emissions of non-platform drivers based on the ratio of the total carbon emissions of non-platform drivers to the total turnover volume of non-platform drivers.

[0123] Specifically, according to the aforementioned formula, the unit carbon emissions of non-platform drivers are

[0124] Step S160: Calculate the turnover volume conversion ratio of platform drivers based on the ratio of the total turnover volume of platform drivers to the turnover volume of platform orders of platform drivers.

[0125] Specifically, the turnover volume conversion ratio Q of platform drivers can be calculated using the following formula:

[0126]

[0127] Step S170: Take the product of the difference between the unit carbon emissions of platform drivers and the unit carbon emissions of non-platform drivers and the turnover volume conversion ratio of platform drivers as the unit carbon emission reduction of the freight platform.

[0128] Specifically, assuming the average carbon emission reduction brought by each 10,000 ton-kilometers of turnover volume of this vehicle type on the platform, since each 1 ton-kilometer of transportation of this vehicle type on the platform corresponds to Q ton-kilometers of turnover volume, therefore, the unit carbon emission reduction S (carbon emissions saved per 100 ton-kilometers of turnover volume) of the freight platform can be calculated according to the following formula:

[0129]

[0130] Specifically, according to different units of S, different coefficients can be used for unit conversion, but this application is not limited thereto.

[0131] In some embodiments, the above method may further include the step of calculating the total carbon emission reduction of the freight platform within a set time period according to the product of the unit carbon emission reduction of the freight platform and the total turnover of the platform orders of the freight platform within the set time period, whereby the total carbon emission reduction of the freight platform within the set time period can be estimated.

[0132] In some embodiments, the carbon emission reduction estimation method of the freight platform can calculate the unit carbon emission reduction of the freight platform for different vehicle models and calculate the total carbon emission reduction of the freight platform according to the unit carbon emission reduction of the freight platform for different vehicle models.

[0133] In some embodiments, the average full load rate of platform drivers and the average full load rate of non-platform drivers can also be calculated according to the historical transportation data of platform drivers and the historical transportation data of non-platform drivers. Thus, the calculated average full load rate of platform drivers and the average full load rate of non-platform drivers can be used for further statistics and related data processing.

[0134] Specifically, the average full load rate R of platform drivers 平 can be calculated according to the following formula:

[0135]

[0136] wherein, the total transportation turnover of platform drivers is T 平 = ∑ i∈{平台司机行程} r i l i t F ; the total driving mileage L of the platform 平 = ∑ i∈{平台司机行程} l i .

[0137] Specifically, the average full load rate R of non-platform drivers 非 can be calculated according to the following formula:

[0138]

[0139] wherein, the total transportation turnover of non-platform drivers is the total driving mileage L of non-platform 非 = ∑ i∈{非平台司机行程} l i .

[0140] Furthermore, the source of carbon emission reduction calculation in this application is that the average full load rate of platform vehicles is greater than that of non-platform vehicles. Therefore, after calculating the average full load rates of platform vehicles and non-platform vehicles according to the above formula, it is necessary to determine whether they meet the condition that the average full load rate of platform vehicles is greater than that of non-platform vehicles. If so, the calculations in steps S110 to S170 are performed.

[0141] In some specific implementations, the average full load rate of non-platform drivers' offline orders can be obtained through research first. By sampling the transportation trips of various vehicles of platform and non-platform drivers, the average full load ratio of offline transportation of random vehicle arrangements, the carbon emission reduction per 100 ton-kilometers of turnover, and the total platform carbon emission reduction can be estimated. The specific details are shown in the following table:

[0142]

[0143]

[0144] The above table only schematically shows a specific implementation of the carbon emission reduction estimation method for a freight platform in this application, and this application is not limited thereto.

[0145] Furthermore, in combination with the above method, the turnover of platform orders and the corresponding carbon emission reduction can also be calculated for each order on the platform.

[0146] In some embodiments of this application, the calculated carbon emission reduction can be displayed to the user. In some variations, when the calculated carbon emission reduction is less than the set threshold, the platform server can also be reminded to update the freight vehicle scheduling algorithm in the form of warning information or indication information, etc., in order to improve the average full load rate of platform vehicles.

[0147] Based on the above principle, this application also provides a carbon emission reduction estimation method for a freight platform. Refer to Figure 3 , Figure 3 shows a flowchart of the carbon emission reduction estimation method for a freight platform according to an embodiment of the present invention.

[0148] The carbon emission reduction estimation method for a freight platform includes the following steps:

[0149] Step S210: Calculate the carbon emission saving coefficient of the freight platform according to the overall average full load rate of platform drivers, the overall average full load rate of non-platform drivers, and the ratio of the total vehicle weight when the vehicle object is fully loaded to the total vehicle weight when it is empty.

[0150] Specifically, assuming that the total transportation turnover is T ton-kilometers, for this, the full-load driving mileage of the vehicle object is required to be

[0151]

[0152] Assume that the average full-load rates of platform vehicles and non-platform vehicles during the outbound journey are the same, both being r 去 ; because a freight platform is used to find goods, the freight platform can achieve efficient freight dispatching through a scheduling algorithm, resulting in different average full-load rates during the return journey, which are r 回,平 and r 回,非 ; if it is assumed that the round-trip driving mileage is the same, then the overall average full-load rates of platform and non-platform vehicles are respectively:

[0153]

[0154]

[0155] According to the definition of the full-load rate, corresponding to the full-load driving mileage The empty driving mileages of platform and non-platform vehicles are respectively

[0156]

[0157] and

[0158]

[0159] Based on the above mileage estimation, the total emissions of platform drivers are:

[0160]

[0161] The total emissions of non-platform drivers are:

[0162]

[0163] Therefore, the carbon emission saving coefficient of the platform relative to the non-platform is:

[0164]

[0165] Thus, it can be seen that the carbon emission saving coefficient s of the freight platform relative to the non-platform only depends on the overall average full-load rates r 非 、r 平 , as well as the ratio of the total vehicle weight when the vehicle object is fully loaded to that when it is empty and the specific value of the carbon emission per kilometer c 0 when it is empty and has nothing to do with it.

[0166] Step S220: Calculate the carbon footprint of the freight platform according to the total turnover of the platform orders of the freight platform.

[0167] Step S230: Calculate the total carbon emission reduction of the freight platform according to the product of the carbon footprint of the freight platform and the carbon emission saving coefficient.

[0168] In some specific implementations, assume that the vehicle weight of the vehicle object when it is unloaded is t 0 = 10 tons, the full-load carrying capacity t F = 25 tons, the total vehicle weight is 35 tons, K = 0.7, so Then substitute some full-load rate values of platforms and non-platforms to calculate the carbon emission savings coefficient of the platform.

[0169] For the outbound full-load rate, both platform and non-platform vehicles are r 去 = 95%, calculate the savings coefficients in three cases where the inbound full-load rate of the platform is r 回,平 = 75%, 85%, 95% respectively, so as to obtain the savings coefficient - non-platform driver inbound full-load rate curve. For the non-platform driver inbound full-load rate between 20% and 40%, while the platform driver's inbound full-load rate is between 75% and 95%, the carbon emission savings coefficient of the platform can be estimated to be between 10% and 20% according to the savings coefficient - non-platform driver inbound full-load rate curve.

[0170] According to the national carbon emission data, the annual carbon emissions from road freight are about 600 million tons. According to the freight turnover volume calculated by the transaction orders of the freight platform in one year, it is 693.2 billion ton-kilometers. The national freight turnover volume statistics by the Ministry of Transport is 6017.1 billion ton-kilometers. According to this ratio, the carbon footprint involved in the platform is about 69 million tons. Thus, it can be estimated that the carbon emissions saved by the freight platform in one year due to reducing the empty driving distance of the return drivers are between 7 million tons and 14 million tons.

[0171] In some embodiments of the present application, the calculated carbon emission reduction amount can be displayed to the user. In some variant embodiments, when the calculated carbon emission reduction amount is less than the set threshold, it can also be in the form of, such as warning information or indication information, to remind the platform server to update the freight vehicle scheduling algorithm, so as to improve the average full-load rate of the platform vehicles.

[0172] Next, refer to Figure 4 , Figure 4 which shows a flowchart of a carbon emission reduction estimation method for a freight platform according to another embodiment of the present invention. Figure 4 The following steps are shown in total:

[0173] Step S1: Calculate the baseline scenario emissions for a set time period;

[0174] Step S2: Calculate the project activity emissions within a set time period, where the project activity emissions include the emissions generated by the operation of freight trucks and the emissions generated by the operation of the intelligent matching system in the project activities within the set time period;

[0175] Step S3: Calculate the difference between the project activity emissions and the baseline scenario emissions as the carbon emission reduction amount of the freight platform within the set time period.

[0176] In the freight platform carbon emission reduction estimation method provided in this application, the difference between the baseline scenario emissions within the set time period and the project activity emissions within the set time period is used as the carbon emission reduction amount of the freight platform within the set time period. Thus, it is convenient to estimate the carbon emission reduction amount of the freight platform.

[0177] Specifically, in this application, the project activity can be a freight intelligent matching project. The baseline scenario is the emissions generated when operating trucks operate according to the non-road freight intelligent matching system operation mode. The emissions in the project activity mainly involve the emissions within the project boundary, and the project boundary includes all facilities and equipment related to the project within the project geographical boundary, such as operating trucks, IT servers, power grids, etc., and all power plants in the power system connected to this project.

[0178] Specifically, the set time period generally can be in years, and this application is not limited to this. Here, taking the set time period as one year as an example:

[0179] The carbon emission reduction amount of the freight platform within the set time period is calculated according to the following formula:

[0180] ER y =BE y -PE y

[0181] Where, ER y is the project emission reduction amount in the yth year, with the unit of ton of carbon dioxide (tCO 2 ); BE y is the baseline scenario emission amount in the yth year, with the unit of ton of carbon dioxide (tCO 2 ); PE y is the project activity emission amount in the yth year, with the unit of ton of carbon dioxide (tCO 2 ).

[0182] The baseline scenario emission amount is the emission amount corresponding to the operating trucks completing the same freight turnover volume according to the non-road freight intelligent matching system operation mode, and it can be calculated as follows:

[0183]

[0184] Where, BE y is the project baseline scenario emission amount in the yth year, with the unit of ton of carbon dioxide (tCO 2 ), VKT BL,i,j,yTotal distance traveled by operating truck class j using fuel type i in the baseline scenario for year y, in vehicle-kilometers (km), EF BL,i,j,y Emission factor per kilometer for operating truck class j using fuel type i in the project baseline scenario for year y, in kilograms of carbon dioxide per kilometer (kgCO 2 / km), where i is the different fuel energy types used by operating trucks, including fuel, gas, and electricity; j is the different truck classes (which can be divided according to the gross vehicle mass or vehicle length).

[0185] Total distance traveled by operating truck class j using fuel type i in the baseline scenario for year y, VKT BL,i,j,y If it cannot be directly obtained, it can be calculated according to the following formula:

[0186]

[0187] where, FT BL,i,j,y Freight turnover volume completed by operating truck class j using fuel type i in the baseline scenario for year y, in ton-kilometers (t·km); LF BL,i,j,y Load factor of operating truck class j using fuel type i in the baseline scenario for year y when completing the same freight turnover volume as the project activity, in percentage (%); W FL,i,j,y Rated loading capacity of operating truck class j using fuel type i in year y, i.e., the load weight when fully loaded, in tons (t).

[0188] Freight turnover volume FT completed by operating truck class j using fuel type i in the baseline scenario for year y BL,i,j,y Needs to be consistent with the freight turnover volume of the project activity. In other words, FT BL,i,j,y = FT PJ,i,j,y where, FT PJ,i,j,y is the freight turnover volume completed by operating truck class j using fuel type i within the project boundary in year y, in ton-kilometers (t·km).

[0189] According to the foregoing principle of this application, the emission factor EF per kilometer for operating truck class j using fuel type i in the project baseline scenario for year y BL,i,j,y can be calculated according to the following formula:

[0190] EF BL,i,j,y = [LF BL,i,j,y + (1 - LF BL,i,j,y ) × K i,j,y × EF Full,i,j,y

[0191] where, LF BL,i,j,yK is the actual load rate of truck type j using fuel type i under the baseline scenario in year y, expressed in percentage (%); i,j,y EF is the ratio of the emission factor per kilometer of the operating truck type j using fuel type i in year y when unloaded to the emission factor per kilometer when fully loaded, expressed in percentage (%); Full,i,j,y It is the emission factor per kilometer of operating truck type j using fuel type i in year y, in kilograms of carbon dioxide per kilometer (kgCO2 / km).

[0192] For fuel and gas vehicles, EF Full,i,j,y It can be calculated as follows:

[0193] EF Full,i,j,y =FC Full,i,j,y ×NCV i ×EF CO2,i,y

[0194] Among them, FC Full,i,j,y The fuel consumption per kilometer of a fully loaded truck of type j using fuel type i in year y, in units of liters per kilometer, kilograms per kilometer, or cubic meters per kilometer (l / km, kg / km, m 3 / km); NCV i is the net calorific value of fuel type i in megajoules per liter, megajoules per kilogram, or megajoules per cubic meter (MJ / l, MJ / kg, or MJ / m 3 );EF CO2,i,y is the CO of fuel type i in year y 2 Emission factor per unit calorific value, in kilograms of carbon dioxide per megajoule (kgCO 2 / MJ).

[0195] For electric vehicles, EF Full,i,j,y It can be calculated as follows:

[0196] EF Full,i,j,y =EC Full,j,y ×EF CO2,y

[0197] Among them, EC Full,j,y EF is the power consumption per kilometer of the operating truck type j when fully loaded in year y, in kilowatt-hours per kilometer (kWh / km); CO2,y is the grid emission factor for year y, in kilograms of carbon dioxide per kilowatt-hour (kgCO 2 / kWh).

[0198] The project emissions include the emissions from operating trucks during operation when the highway freight intelligent matching system is used, as well as the emissions from electricity consumed by the highway freight intelligent matching system. The project emissions are calculated according to the formula:

[0199] PE y = PE truck,y + PE sys,y

[0200] Among them, PE y is the project activity emissions in the yth year, in tons of carbon dioxide (tCO 2 ), PE truck,y is the emissions generated during the operation of the operating trucks within the project boundary of the intelligent matching system for road freight within the project boundary in the yth year, in tons of carbon dioxide (tCO 2 ), PE sys,y is the emissions generated from the electricity consumption of the operation of the intelligent dispatching system within the project boundary in the yth year, in tons of carbon dioxide (tCO 2 ).

[0201] The emissions PE generated during the operation of the operating trucks under the project activity truck,y can be calculated according to the following formula:

[0202]

[0203] Among them, PE truck,d,y is the emissions generated during the operation of the operating trucks within the project boundary in the yth year, in tons of carbon dioxide (tCO2), VKT PJ,i,j,y is the total mileage completed by the operating truck class j using fuel type i within the project boundary in the yth year, in vehicle kilometers (km), EF PJ,i,j,y is the emission factor per kilometer of the operating truck class j using fuel type i within the project boundary in the yth year, in kilograms of carbon dioxide per kilometer (kgCO 2 e / km).

[0204] The total mileage VKT completed by the operating truck class j using fuel type i within the project boundary in the yth year PJ,i,j,y can be calculated according to the following formula:

[0205]

[0206] Among them, FT PJ,i,j,y is the freight turnover volume completed by the operating truck class j using fuel type i within the project boundary in the yth year, in ton kilometers (t·km), LF PJ,i,j,y is the load factor of the operating truck class j using fuel type i within the project boundary in the yth year, in percentage (%), W FL,i,j,y is the rated loading capacity of the operating truck class j using fuel type i in the yth year, i.e., the load weight when fully loaded, in tons (t).

[0207] Freight turnover FT completed by operating trucks of type j using fuel type i within the project boundary in year y PJ,i,j,y It can be calculated as follows:

[0208]

[0209] Among them, l m,i,j,y is the mileage of the operating trucks of type j and order m with fuel type i within the project boundary in year y, in kilometers (km); w m,i,j,y is the load capacity of order m of type j of operating trucks with fuel type i within the project boundary in year y, in tons (t); i is the different energy types used by operating trucks, including fuel oil, gas and electricity; j is the different types of operating trucks (divided according to the gross mass or length of the trucks); m is the cargo order of operating trucks on the platform.

[0210] According to the principles mentioned above in this application, the emission factor EF per kilometer of operating truck type j using fuel type i within the project boundary in year y is PJ,i,j,y It can be calculated according to the following formula:

[0211] LF PJ,i,j,y =[LF PJ,i,j,y +(1-LF PJ,i,j,y )×K i,j,y ]×EF Full,i,j,y

[0212] Among them, LF PJ,i,j,y is the actual load rate of truck type j using fuel type i within the project boundary in year y, expressed in percentage (%); K i,j,y EF is the ratio of the emission factor per kilometer of the operating truck type j using fuel type i in year y when unloaded to the emission factor per kilometer when fully loaded, expressed in percentage (%); Full,i,j,y is the emission factor per kilometer of operating truck type j using fuel type i in year y, in kilograms of carbon dioxide per kilometer (kgCO 2 / km), the calculation of which can refer to the above formula.

[0213] Specifically, the actual load rate of the project activity refers to the ratio of the freight turnover completed by operating trucks within the project boundary from the receipt of orders through the highway freight intelligent matching system to the arrival of the goods at the destination, to the freight turnover of operating trucks fully loaded with the same mileage mentioned above.

[0214] Emissions generated during the operation of the road freight intelligent matching system PE sys,y It can be calculated according to the following formula:

[0215] PE sys,y =EC sys,y ×EFCO2,y ×10 -3

[0216] Among them, EC sys,y is the electricity consumption during the operation of the highway freight intelligent matching system within the project boundary in the y-th year, with the unit of kilowatt-hour (kWh); EF CO2,y is the grid emission factor in the y-th year, with the unit of kilograms of carbon dioxide per kilowatt-hour (kgCO 2 e / kWh).

[0217] If the electricity consumption EC sys,y during the operation of the highway freight intelligent matching system cannot be directly obtained, the rated power of the electricity-consuming units of the operation system, the number of electricity-consuming units, and their operation time can be monitored, and calculated according to the following formula:

[0218]

[0219] Among them, PP k,y is the rated power of the k-th type of electricity-consuming facility within the project boundary in the y-th year, with the unit of kilowatt (kW); T k,y is the operation time of the k-th type of electricity-consuming facility within the project boundary in the y-th year, with the unit of hour (h); k is the type of electricity-consuming facility.

[0220] The above are only schematic descriptions of multiple embodiments of the present invention, and the present invention is not limited thereto. The above embodiments can be implemented alone or in combination, and these variation methods are all within the protection scope of the present invention.

[0221] According to another aspect of the present invention, there is also provided a carbon emission reduction estimation device for a freight platform, Figure 5 showing a module diagram of the carbon emission reduction estimation device for a freight platform according to an embodiment of the present invention. The carbon emission reduction estimation device 300 for a freight platform includes an acquisition module 310, a first calculation module 320, a second calculation module 330, a third calculation module 340, a fourth calculation module 350, a fifth calculation module 360, and a sixth calculation module 370.

[0222] The acquisition module 310 is configured to acquire the historical transportation data of platform drivers and the historical transportation data of non-platform drivers;

[0223] The first calculation module 320 is configured to calculate the total carbon emissions and the total turnover volume of platform drivers according to the historical transportation data of the platform drivers;

[0224] The second calculation module 330 is configured to calculate the unit carbon emissions of platform drivers according to the ratio of the total carbon emissions of platform drivers to the total turnover volume of platform drivers;

[0225] The third calculation module 340 is configured to calculate the total carbon emissions of non-platform drivers and the total turnover volume of non-platform drivers according to the historical transportation data of the non-platform drivers;

[0226] The fourth calculation module 350 is configured to calculate the unit carbon emissions of non-platform drivers according to the ratio of the total carbon emissions of non-platform drivers to the total turnover volume of non-platform drivers;

[0227] The fifth calculation module 360 is configured to calculate the turnover volume conversion ratio of platform drivers according to the ratio of the total turnover volume of platform drivers to the turnover volume of platform orders of platform drivers;

[0228] The sixth calculation module 370 is configured to use the product of the difference between the unit carbon emissions of platform drivers and the unit carbon emissions of non-platform drivers and the turnover volume conversion ratio of platform drivers as the unit carbon emission reduction amount of the freight platform.

[0229] In the freight platform carbon emission reduction estimation device provided by the present invention, by obtaining the historical transportation data of platform drivers and the historical transportation data of non-platform drivers, the unit carbon emission reduction amount of the freight platform is calculated based on these historical transportation data, so as to facilitate the estimation of the carbon emission reduction amount of the freight platform.

[0230] Figure 5 The freight platform carbon emission reduction estimation device 300 provided by the present invention is merely schematically shown. Without departing from the concept of the present invention, the splitting, merging, and addition of modules are all within the protection scope of the present invention. The freight platform carbon emission reduction estimation device 300 provided by the present invention can be implemented by software, hardware, firmware, plugins, and any combination thereof, and the present invention is not limited thereto.

[0231] According to another aspect of the present invention, a freight platform carbon emission reduction estimation device is further provided. Figure 6 The block diagram of the freight platform carbon emission reduction estimation device according to an embodiment of the present invention is shown. The freight platform carbon emission reduction estimation device 400 includes a seventh calculation module 410, an eighth calculation module 420, and a ninth calculation module 430.

[0232] The seventh calculation module 410 is configured to calculate the carbon emission saving coefficient of the freight platform according to the full-load rate of the whole journey of platform drivers, the full-load rate of the whole journey of non-platform drivers, and the ratio of the total vehicle weight when the vehicle object is fully loaded to the total vehicle weight when it is empty;

[0233] The eighth calculation module 420 is configured to calculate the carbon footprint of the freight platform according to the total turnover volume of the platform orders of the freight platform;

[0234] The ninth computing module 430 is configured as the seventh computing module and is configured to calculate the total carbon emission reduction amount of the freight platform according to the product of the carbon footprint of the freight platform and the carbon emission saving coefficient.

[0235] In the freight platform carbon emission reduction estimation device provided by the present invention, the total carbon emission reduction amount of the freight platform is calculated based on the full-load rate of the platform driver during the whole journey, the full-load rate of the non-platform driver during the whole journey, the ratio of the total vehicle weight when the vehicle object is fully loaded to the total vehicle weight when the vehicle object is empty, and the carbon footprint of the freight platform. Thus, it is convenient to estimate the carbon emission reduction amount of the freight platform.

[0236] Figure 6 Only the freight platform carbon emission reduction estimation device 400 provided by the present invention is schematically shown. Without departing from the concept of the present invention, the splitting, merging, and addition of modules are within the protection scope of the present invention. The freight platform carbon emission reduction estimation device 400 provided by the present invention can be implemented by software, hardware, firmware, plugins, and any combination thereof. The present invention is not limited thereto.

[0237] According to another aspect of the present invention, there is also provided a freight platform carbon emission reduction estimation device. Figure 7 The module diagram of the freight platform carbon emission reduction estimation device according to an embodiment of the present invention is shown. The freight platform carbon emission reduction estimation device 10 includes a tenth computing module 11, an eleventh computing module 12, and a twelfth computing module 13.

[0238] The tenth computing module 11 is configured to calculate the baseline scenario emissions for a set time period.

[0239] The eleventh computing module 12 is configured to calculate the project activity emissions during a set time period. The project activity emissions include the emissions generated by truck operations and the emissions generated by the power consumption of the intelligent matching system operation during the project activities within the set time period.

[0240] The twelfth computing module 13 is configured to calculate the difference between the project activity emissions and the baseline scenario emissions as the carbon emission reduction amount of the freight platform during the set time period.

[0241] In the freight platform carbon emission reduction estimation device provided by the present invention, the difference between the baseline scenario emissions for a set time period and the project activity emissions during the set time period is used as the carbon emission reduction amount of the freight platform during the set time period. Thus, it is convenient to estimate the carbon emission reduction amount of the freight platform.

[0242] Figure 7The carbon emission reduction estimation device 10 for a freight platform provided by the present invention is merely schematically shown. Without departing from the concept of the present invention, the splitting, merging, and addition of modules are all within the protection scope of the present invention. The carbon emission reduction estimation device 10 for a freight platform provided by the present invention can be implemented by software, hardware, firmware, plugins, and any combination thereof, and the present invention is not limited thereto.

[0243] In an exemplary embodiment of the present invention, there is also provided a computer-readable storage medium having a computer program stored thereon, and when the program is executed by, for example, a processor, the steps of the freight platform carbon emission reduction estimation method described in any one of the above embodiments can be implemented. In some possible implementation manners, various aspects of the present invention can also be implemented in the form of a program product, which includes program code, and when the program product runs on a terminal device, the program code is used to cause the terminal device to execute the steps according to various exemplary embodiments of the present invention described in the above freight platform carbon emission reduction estimation method section of this specification.

[0244] Reference Figure 8 As shown, a program product 700 for implementing the above method according to an embodiment of the present invention is described. It can be a portable compact disc read-only memory (CD-ROM) and includes program code, and can run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited thereto. In this document, the readable storage medium can be any tangible medium that contains or stores a program, and the program can be used by or combined with an instruction execution system, apparatus, or device.

[0245] The program product can adopt any combination of one or more readable media. The readable media can be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0246] The computer-readable storage medium may include a data signal propagated in a baseband or as part of a carrier wave, in which the readable program code is carried. Such a propagated data signal may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. The readable storage medium may also be any readable medium other than the readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wired, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0247] The program code for performing the operations of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages such as Java, C++, etc., and also including conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the tenant computing device, partially on the tenant device, executed as a stand-alone software package, partially on the tenant computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the tenant computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., using an Internet service provider to connect through the Internet).

[0248] In an exemplary embodiment of the present invention, an electronic device is further provided, which may include a processor and a memory for storing executable instructions of the processor. Wherein, the processor is configured to execute the steps of the carbon emission reduction estimation method of the freight platform described in any one of the above embodiments by executing the executable instructions.

[0249] Those skilled in the art can understand that various aspects of the present invention can be implemented as a system, a method, or a program product. Therefore, various aspects of the present invention can be specifically implemented in the following forms, namely: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or an implementation combining hardware and software aspects, which can be collectively referred to as "circuits", "modules", or "systems" here.

[0250] The following refers to Figure 9 to describe the electronic device 500 according to this embodiment of the present invention. Figure 9 The illustrated electronic device 500 is merely an example and should not impose any limitation on the functions and scope of use of the embodiments of the present invention.

[0251] As Figure 9As shown, the electronic device 500 is presented in the form of a general computing device. The components of the electronic device 500 may include, but are not limited to: at least one processing unit 510, at least one storage unit 520, a bus 530 connecting different system components (including the storage unit 520 and the processing unit 510), a display unit 540, etc.

[0252] Among them, the storage unit stores program code, and the program code can be executed by the processing unit 510, so that the processing unit 510 executes the steps according to various exemplary embodiments of the present invention described in the above-mentioned freight platform carbon emission reduction estimation method part of this specification. For example, the processing unit 510 can execute as Figure 1 shown in the steps.

[0253] The storage unit 520 may include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 5201 and / or a cache storage unit 5202, and may further include a read-only storage unit (ROM) 5203.

[0254] The storage unit 520 may further include a program / utility 5204 having a set (at least one) of program modules 5205. Such program modules 5205 include, but are not limited to: an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include the implementation of a network environment.

[0255] The bus 530 may represent one or more of several types of bus structures, including a storage unit bus or a storage unit controller, a peripheral bus, a graphics acceleration port, a processing unit, or a local bus using any bus structure in a variety of bus structures.

[0256] The electronic device 500 can also communicate with one or more external devices 600 (such as a keyboard, a pointing device, a Bluetooth device, etc.), and can also communicate with one or more devices that enable a tenant to interact with the electronic device 500, and / or communicate with any device (such as a router, a modem, etc.) that enables the electronic device 500 to communicate with one or more other computing devices. Such communication can be carried out through the input / output (I / O) interface 550. Moreover, the electronic device 500 can also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through the network adapter 560. The network adapter 560 can communicate with other modules of the electronic device 500 through the bus 530. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in combination with the electronic device 500, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, etc.

[0257] Through the description of the above embodiments, those skilled in the art can easily understand that the example embodiments described herein can be implemented by software, or can be implemented by the way of software combined with necessary hardware. Therefore, the technical solution according to the embodiment of the present invention can be embodied in the form of a software product, and the software product can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on the network, including several instructions to enable a computing device (which can be a personal computer, a server, or a network device, etc.) to execute the above-mentioned carbon emission reduction estimation method for the freight platform according to the embodiment of the present invention.

[0258] Compared with the prior art, the advantages of the present invention are as follows:

[0259] The present invention obtains the historical transportation data of platform drivers and the historical transportation data of non-platform drivers, and calculates the unit carbon emission reduction amount of the freight platform based on these historical transportation data, so as to facilitate the estimation of the carbon emission reduction amount of the freight platform.

[0260] The present invention calculates the total carbon emission reduction amount of the freight platform according to the full-load rate of the whole journey of platform drivers, the full-load rate of the whole journey of non-platform drivers, the ratio of the total vehicle weight when the vehicle object is fully loaded and when it is empty, and the carbon footprint of the freight platform. Thus, it is convenient to estimate the carbon emission reduction amount of the freight platform.

[0261] The present invention takes the difference between the baseline scenario emissions in a set time period and the project activity emissions in the set time period as the carbon emission reduction amount of the freight platform in the set time period. Thus, it is convenient to estimate the carbon emission reduction amount of the freight platform.

[0262] Those skilled in the art will readily conceive of other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present invention that follow the general principles of the present invention and include known common general knowledge or conventional technical means in the technical field of the present invention that are not disclosed in the present invention. The specification and examples are only regarded as exemplary, and the true scope and spirit of the present invention are pointed out by the appended claims.

Claims

1. A method for estimating carbon emissions reduction of a freight platform, characterized in that, it includes: Obtain the historical transportation data of platform drivers and the historical transportation data of non-platform drivers; According to the historical transportation data of the platform drivers, calculate the total carbon emissions of the platform drivers and the total turnover of the platform drivers, where the carbon emissions per kilometer of the platform drivers are: Among them, the weight of the vehicle when unloaded is t 0 ; Carbon emissions per kilometer when unloaded c 0 ; The load capacity when fully loaded is t F ; Total vehicle weight is t 0 +t F ; Carbon emissions per kilometer when fully loaded is The actual load of the vehicle object is t; the full load rate is The mathematical expression of the total turnover of the platform drivers is: According to the ratio of the total carbon emissions of the platform drivers to the total turnover of the platform drivers, calculate the unit carbon emissions of the platform drivers, where the mathematical expression of the total carbon emissions of the platform drivers is: Calculate the total carbon emissions and total turnover volume of the non-platform driver based on the historical transportation data of the non-platform driver, where the unit turnover volume T 非 of the non-platform driver has the following mathematical expression: The total carbon emissions C of the non-platform drivers 非 has the following mathematical expression: According to the ratio of the total carbon emissions of the non-platform drivers to the total turnover of the non-platform drivers, calculate the unit carbon emissions of the non-platform drivers; According to the ratio of the total turnover of the platform drivers to the turnover of the platform orders of the platform drivers, calculate the turnover conversion ratio of the platform drivers; Take the product of the difference between the unit carbon emissions of the platform drivers and the unit carbon emissions of the non-platform drivers and the turnover conversion ratio of the platform drivers as the unit carbon emissions reduction of the freight platform.

2. The method for estimating carbon emissions reduction of a freight platform according to claim 1, characterized in that, After taking the product of the difference between the unit carbon emissions of the platform drivers and the unit carbon emissions of the non-platform drivers and the turnover conversion ratio of the platform drivers as the unit carbon emissions reduction of the freight platform, it further includes: Calculate the total carbon emissions reduction of the freight platform within a set time period according to the product of the unit carbon emissions reduction of the freight platform and the total turnover of the platform orders of the freight platform within the set time period.

3. The method for estimating carbon emissions reduction of a freight platform according to claim 1, characterized in that, The method for estimating carbon emissions reduction of the freight platform calculates the unit carbon emissions reduction of the freight platform for different vehicle models according to different vehicle models, and calculates the total carbon emissions reduction of the freight platform according to the unit carbon emissions reduction of the freight platform for different vehicle models.

4. A device for estimating carbon emissions reduction of a freight platform, characterized in that, it includes: An acquisition module configured to acquire the historical transportation data of platform drivers and the historical transportation data of non-platform drivers; A first calculation module configured to calculate the total carbon emissions of the platform drivers and the total turnover of the platform drivers according to the historical transportation data of the platform drivers, where the carbon emissions per kilometer of the platform drivers are: Among them, the vehicle weight when unloaded is t 0 ; The carbon emissions per kilometer when unloaded are c 0 ; The load capacity when fully loaded is t F ; The total vehicle weight is t 0 +t F ; The carbon emissions per kilometer when fully loaded are The actual load of the vehicle object is t; The full load rate is The mathematical expression of the total turnover of the platform drivers is: A second calculation module configured to calculate the unit carbon emissions of the platform drivers according to the ratio of the total carbon emissions of the platform drivers to the total turnover of the platform drivers, where the mathematical expression of the total carbon emissions of the platform drivers is: A third computing module, configured to calculate the total carbon emissions and the total turnover volume of the non-platform driver according to the historical transportation data of the non-platform driver, where the total turnover volume T 非 of the non-platform driver has the following mathematical expression: The total carbon emissions C of the non-platform drivers 非 has the following mathematical expression: A fourth calculation module configured to calculate the unit carbon emissions of the non-platform drivers according to the ratio of the total carbon emissions of the non-platform drivers to the total turnover of the non-platform drivers; A fifth calculation module configured to calculate the turnover conversion ratio of the platform drivers according to the ratio of the total turnover of the platform drivers to the turnover of the platform orders of the platform drivers; The sixth calculation module is configured to use the product of the difference between the unit carbon emissions of the platform drivers and the unit carbon emissions of non-platform drivers and the turnover conversion ratio of the platform drivers as the unit carbon emission reduction amount of the freight platform.

5. An electronic device, characterized in that, the electronic device includes: a processor; a memory, on which a computer program is stored, and when the computer program is run by the processor, it executes the freight platform carbon emission reduction estimation method according to any one of claims 1 to 3.

6. A storage medium, characterized in that, a computer program is stored on the storage medium, and when the computer program is run by a processor, it executes the freight platform carbon emission reduction estimation method according to any one of claims 1 to 3.

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