CN114022006A - Freight platform carbon emission reduction estimation method and device, electronic equipment and storage medium - Google Patents
Freight platform carbon emission reduction estimation method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention provides a freight platform carbon emission reduction estimation method, a device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring historical transportation data of a platform driver and historical transportation data of a non-platform driver; calculating the total carbon emission of a platform driver and the total turnover of the platform driver; calculating the unit carbon emission of a platform driver; calculating the total carbon emission of the non-platform driver and the total turnover of the non-platform driver; calculating the unit carbon emission of a non-platform driver; calculating the turnover conversion ratio of the driver on the platform; and taking the product of the difference value of the unit carbon emission of the platform driver and the unit carbon emission of the non-platform driver and the conversion ratio of the turnover of the platform driver as the unit carbon emission reduction of the freight platform. The invention realizes the carbon emission reduction estimation based on the freight platform.
Description
Technical Field
The invention relates to the technical field of freight information, in particular to a method and a device for estimating carbon emission reduction of a freight platform, electronic equipment and a storage medium.
Background
At present, carbon emission reduction estimation is calculated based on engine working conditions, but a large transportation enterprise or a network freight platform (hereinafter, referred to as a "freight platform" or a "platform") needs to estimate carbon emission reduction of a plurality of vehicle types and a large number of vehicles more accurately, and a carbon emission reduction estimation method based on the freight platform does not exist at present.
Therefore, how to realize the carbon emission reduction estimation based on the freight platform is a technical problem to be solved urgently by the technical personnel in the field.
Disclosure of Invention
In order to overcome the defects of the related technologies, the invention provides a freight platform carbon emission reduction estimation method, a freight platform carbon emission reduction estimation device, electronic equipment and a storage medium, so that the freight platform-based carbon emission reduction estimation is realized.
According to one aspect of the invention, a freight platform carbon emission reduction estimation method is provided, and comprises the following steps:
acquiring historical transportation data of a platform driver and historical transportation data of a non-platform driver;
calculating the total carbon emission of the platform driver and the total turnover of the platform driver according to the historical transportation data of the platform driver;
calculating the unit carbon emission of the platform driver according to the ratio of the total carbon emission of the platform driver to the total turnover of the platform driver;
calculating the total carbon emission of the non-platform driver and the total turnover of the non-platform driver according to the historical transportation data of the non-platform driver;
calculating the unit carbon emission of the non-platform driver according to the ratio of the total carbon emission of the non-platform driver to the total turnover of the non-platform driver;
calculating the turnover conversion ratio of the platform driver according to the ratio of the total turnover of the platform driver to the turnover of the platform freight note of the platform driver;
and taking the product of the difference value of the unit carbon emission of the platform driver and the unit carbon emission of the non-platform driver and the conversion ratio of the turnover of the platform driver as the unit carbon emission reduction of the freight platform.
In some embodiments of the present application, the step of multiplying the difference between the unit carbon emission of the platform driver and the unit carbon emission of the non-platform driver by the turnover conversion ratio of the platform driver as the unit carbon emission reduction of the freight platform further comprises:
and calculating the total carbon reduction amount of the freight platform in a set time period according to the product of the unit carbon reduction amount of the freight platform and the total turnover amount of the platform order of the freight platform in the set time period.
In some embodiments of the present application, the total carbon emissions of the platform driver is calculated from a sum of the carbon emissions of the platform driver's pure idle trip, the carbon emissions of the platform waybill of the platform driver and the carbon emissions of the non-idle trip of the platform waybill of the platform driver, and the total turnover of the platform driver is calculated from a sum of the turnover of the platform waybill of the platform driver and the turnover of the non-platform waybill of the platform driver.
In some embodiments of the present application, the total carbon emissions of the non-platform driver is calculated as a sum of the carbon emissions of the non-platform driver's pure idle trip and the carbon emissions of the non-platform waybill of the non-platform driver; and the total turnover amount of the non-platform driver is the total turnover amount of the non-platform freight note of the non-platform driver.
In some embodiments of the present application, the freight platform carbon emission reduction estimation method calculates the unit carbon emission reduction amount of the freight platform of different vehicle types according to different vehicle types, and calculates the total carbon emission reduction amount of the freight platform according to the unit carbon emission reduction amount of the freight platform of different vehicle types.
According to another aspect of the application, a freight platform carbon emission reduction estimation method is also provided, and includes:
calculating the carbon emission saving coefficient of the freight platform according to the whole-course average full load rate of the platform driver, the whole-course average full load rate of the non-platform driver and the ratio of the total vehicle weight of the vehicle object when the vehicle object is fully loaded and unloaded;
calculating the carbon footprint of the freight platform according to the total turnover of the platform order of the freight platform;
and calculating 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.
According to another aspect of the present application, there is also provided a freight platform carbon emission reduction estimation apparatus, including:
an acquisition module configured to acquire historical transportation data of platform drivers and historical transportation data of non-platform drivers;
a first calculation module configured to calculate a total carbon emission of a platform driver and a total turnover of the platform driver based on historical transportation data of the platform driver;
a second calculation module configured to calculate a unit carbon emission of a platform driver based on a ratio of a total carbon emission of the platform driver to a total turnover of the platform driver;
a third calculation module configured to calculate a total carbon emission of the non-platform driver and a total turnover of the non-platform driver based on the historical transportation data of the non-platform driver;
a fourth calculation module configured to calculate a unit carbon emission of the non-platform driver according to a ratio of the total carbon emission of the non-platform driver to a total turnover of the non-platform driver;
the fifth calculation module is configured to calculate the turnover conversion ratio of the platform driver according to the ratio of the total turnover of the platform driver to the turnover of the platform freight note of the platform driver;
and the sixth calculation module is configured to take the product of the difference value of the unit carbon emission of the platform driver and the unit carbon emission of the non-platform driver and the conversion ratio of the turnover amount of the platform driver as the unit carbon emission reduction amount of the freight platform.
According to another aspect of the present application, there is also provided a freight platform carbon emission reduction estimation apparatus, including:
a seventh calculation module configured to calculate a carbon emission savings factor for the freight platform based on the global average full load rate of the platform driver, the global average full load rate of the non-platform driver, and a ratio of total vehicle weight when the vehicle object is fully loaded and unloaded;
an eighth calculation module configured to calculate a carbon footprint of a shipping platform based on a total turnover of platform orders for the shipping platform;
a ninth calculation module configured as a seventh calculation module configured to calculate a total carbon reduction capacity of the cargo platform based on a product of the carbon footprint of the cargo platform and the carbon emission saving coefficient.
According to still another aspect of the present invention, there is also provided an electronic apparatus, including: a processor; a storage medium having stored thereon a computer program which, when executed by the processor, performs the steps as described above.
According to yet another aspect of the present invention, there is also provided a storage medium having stored thereon a computer program which, when executed by a processor, performs the steps as described above.
Compared with the prior art, the invention has the advantages that:
the method and the device obtain the unit carbon emission reduction amount of the freight platform by obtaining the historical transportation data of the platform driver and the historical transportation data of the non-platform driver and calculating according to the historical transportation data, thereby facilitating the estimation of the carbon emission reduction amount of the freight platform.
The total carbon emission reduction amount of the freight platform is calculated according to the whole-process average full load rate of a platform driver, the whole-process average full load rate of a non-platform driver, the ratio of the total weight of a vehicle object when the vehicle object is fully loaded and unloaded and the carbon footprint of the freight platform, so that the estimation of the carbon emission reduction amount of the freight platform is convenient to realize.
Drawings
The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.
FIG. 1 illustrates a flow diagram of a shipping platform carbon emission reduction estimation method according to an embodiment of the invention.
Fig. 2 shows a schematic view of a vehicle driving trajectory according to another embodiment of the present invention.
FIG. 3 illustrates a flow diagram of a shipping platform carbon emissions reduction estimation method according to another embodiment of the present invention.
Fig. 4 shows a block diagram of a freight platform carbon emission reduction estimation apparatus according to an embodiment of the present invention.
Fig. 5 shows a block diagram of a carbon emission reduction estimation apparatus for a cargo platform according to another embodiment of the present invention.
Fig. 6 schematically illustrates a computer-readable storage medium in an exemplary embodiment of the invention.
Fig. 7 schematically illustrates an electronic device in an exemplary embodiment of the invention.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Furthermore, the drawings are merely schematic illustrations of the invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the steps. For example, some steps may be decomposed, and some steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
The principle of the invention mainly lies in that:
the essence of the oil consumption of the automobile is that the engine overcomes the friction force to do work, and the friction force is in direct proportion to the total weight of the automobile, so that the oil consumption of the automobile can be assumed to increase linearly along with the weight of the automobile, and the weight of the automobile is t when the automobile is in no load0Carbon emission per kilometer of c0(ii) a When the vehicle load is t, the total vehicle weight is t0+ t, corresponding carbon emissions per kilometer at this time
K is a coefficient.
Based on the linear relationship between the gross vehicle weight and fuel consumption, if not the single vehicle length, vehicle type, but the combination of multiple vehicles, when the distribution of various vehicles is determined, an abstract "general transport vehicle" (or may be called a vehicle object) can be defined, which has the following characteristics:
at no load the weight of the vehicle is t0；
Carbon emission per kilometer at idle0；
Load capacity t at full loadF；
Total vehicle weight t0+tF；
Carbon emission per kilometer at full load of
Further, it is possible to assume the actual load of the vehicle object as t, and define the full load rate of the vehicle as t
When its carbon emission per kilometer is
The formula shows that if the vehicle object is at full load rate
Transporting t tons of goods over l kilometers, whichThe total carbon emission is equal to the sum of the carbon emission of the vehicle travelling at full load in rl km and travelling at no load (1-r) in l km.
Based on the principle, the application provides a freight platform carbon emission reduction estimation method. Referring initially to fig. 1 and 2, fig. 1 illustrates a flow diagram of a shipping platform carbon emission reduction estimation method according to an embodiment of the present invention; fig. 2 shows a schematic view of a vehicle driving trajectory according to another embodiment of the present invention.
The freight platform carbon emission reduction estimation method comprises the following steps:
step S110: historical transportation data of platform drivers and historical transportation data of non-platform drivers are obtained.
In some embodiments, the historical transportation data of platform drivers and the historical transportation data of non-platform drivers may be obtained in the form of random sampling.
Specifically, the following describes historical transportation data of a platform driver (similar to historical transportation data of non-platform drivers), taking a platform driver as an example:
assume that a randomly sampled course of a driver on a certain platform is shown in FIG. 2, where l1、l3、l5、l7、l9Is the real transport mileage of the platform driver, |2、l4、l6、l8The pure empty driving distance between the landing driver and the next single loading site is provided.
If the actual load ratio r of each transport section is known1、r3、r5、r7、r9Then, based on the foregoing principle, the carbon emissions of each segment of the platform driver are:
a first stage: r is1l1cF+(1-r1)l1c0Transport turnover number r1l1tF；
And a second stage: l2c0Transportation turnover number 0;
a third stage: r is3l3cF+(1-r3)l3c0Transport turnover number r3l3tF；
A fourth stage: l4c0Transportation turnover number 0;
……
a ninth stage: r is9l9cF+(1-r9)l9c0Transport turnover number r9l9tF。
Thus, it is possible to acquire the historical transportation data (the carbon emission amount and the transportation turnover amount of each segment) of the flatbed driver and the historical transportation data (the carbon emission amount and the transportation turnover amount of each segment) of the non-flatbed driver in the above-described manner.
Specifically, if it is determined that a certain section is empty in the transportation route of the platform driver, the full-load rate of the order is 0, i.e., ri0; if the order is not a shipping platform, the average full load rate of the non-platform shipping order may be used
(
The value of (d) can be estimated by estimating the obtained average value by means such as experiments or investigations); if the order is the order of the freight platform, the actual freight weight t can be obtained according to the order data of the platform orderiBy using
To calculate the loading rate of the platform manifest.
Step S120: and calculating the total carbon emission of the platform driver and the total turnover of the platform driver according to the historical transportation data of the platform driver.
Specifically, the total turnover amount of the platform driver is calculated according to the sum of the turnover amount of the platform freight note of the platform driver and the turnover amount of the non-platform freight note of the platform driver.
In particular, the total turnover T of the platform driverFlat plateThe calculation of (c) can be expressed by the following formula:
platform waybill T of platform driverFlat, flatThe turnover number of (2) is:
specifically, the total carbon emission of the platform driver is calculated according to the sum of the carbon emission of the pure idle stroke of the platform driver, the carbon emission of the non-idle stroke of the platform freight bill of the platform driver and the carbon emission of the non-idle stroke of the non-platform freight bill of the platform driver.
In particular, the unit carbon emission C of the platform driverFlat plateThe calculation of (c) can be expressed by the following formula:
step S130: and calculating the unit carbon emission of the platform driver according to the ratio of the total carbon emission of the platform driver to the total turnover of the platform driver.
Specifically, according to the foregoing formula, the unit carbon emissions of the platform driver are:
step S140: and calculating the total carbon emission of the non-platform driver and the total turnover of the non-platform driver according to the historical transportation data of the non-platform driver.
Specifically, the total turnover of the non-platform driver is the total turnover of the non-platform waybills of the non-platform driver.
Specifically, the total turnover T of the non-platform driverIs notThe calculation of (c) can be expressed by the following formula:
specifically, the total carbon emission of the non-flatbed driver is calculated according to the sum of the carbon emission of the pure idle stroke of the non-flatbed driver and the carbon emission of the non-idle stroke of the non-flatbed waybill of the non-flatbed driver.
Specifically, the total carbon emission C of the non-platform driverIs notThe calculation of (c) can be expressed by the following formula:
step S150: and calculating the unit carbon emission of the non-platform driver according to the ratio of the total carbon emission of the non-platform driver to the total turnover of the non-platform driver.
Specifically, according to the foregoing formula, the unit carbon emissions for non-flatbed drivers are
Step S160: and calculating the turnover conversion ratio of the platform driver according to the ratio of the total turnover of the platform driver to the turnover of the platform freight note of the platform driver.
Specifically, the calculation of the platform driver turnover conversion ratio Q can be expressed by the following formula:
step S170: and taking the product of the difference value of the unit carbon emission of the platform driver and the unit carbon emission of the non-platform driver and the conversion ratio of the turnover of the platform driver as the unit carbon emission reduction of the freight platform.
Specifically, assuming the average carbon emission reduction of the vehicle per 1 ten thousand kilometers of turnover on the platform, since the vehicle corresponds to a turnover of Q tons of kilometers per 1 ton of transportation on the platform, the unit carbon emission reduction S (carbon emission saved per 100 ton of turnover) of the freight platform can be calculated according to the following formula:
specifically, the unit conversion may be performed by using different coefficients according to different units of S, and the present application is not limited thereto.
In some embodiments, the method may further include the step of calculating the total carbon reduction volume of the cargo platform over a set period of time based on the product of the unit carbon reduction volume of the cargo platform and the total turnover volume of the platform order for the cargo platform over a set period of time, thereby to perform the estimation of the total carbon reduction volume of the cargo platform over a set period of time.
In some embodiments, the freight platform carbon emission reduction estimation method may calculate the unit carbon emission reduction amount of the freight platform of different vehicle types according to different vehicle types, and calculate the total carbon emission reduction amount of the freight platform according to the unit carbon emission reduction amount of the freight platform of different vehicle types.
In some embodiments, the average loading rate of the platform drivers and the average loading rate of the non-platform drivers may also be calculated based on historical transportation data of the platform drivers and historical transportation data of the non-platform drivers, whereby the calculated average loading rate of the platform drivers and the average loading rate of the non-platform drivers may be used for further statistical and related data processing.
Specifically, the average load factor R of the platform driverFlat plateCan be calculated according to the following formula:
wherein the total transportation turnover number of the platform driver is TFlat plate＝∑i is left to the platform driver journeyrilitF(ii) a Total mileage on platform LFlat plate＝∑i is left to the platform driver journeyli。
Specifically, the average load factor R of non-platform driversIs notCan be calculated according to the following formula:
wherein the total traffic turnover of non-platform drivers is
Non-platform total driving range LIs not＝∑i belongs to { non-platform driver journey }li。
Further, the present application calculates the carbon emission reduction from an average loading rate of platform vehicles that is greater than an average loading rate of non-platform vehicles. Therefore, after the average full load rate of the platform vehicle and the average full load rate of the non-platform vehicle are obtained by calculation according to the formula, whether the average full load rate of the platform vehicle is greater than the average full load rate of the non-platform vehicle is judged, and if the average full load rate of the platform vehicle is greater than the average full load rate of the non-platform vehicle, the calculation from the step S110 to the step S170 is performed.
In some implementations, the average full load rate of orders placed by a non-platform driver line can be obtained by investigation, the transportation strokes of various vehicles of the platform driver and the non-platform driver are sampled, and the average full load ratio of transportation under the random vehicle line arrangement, the carbon emission reduction amount per 100 tons of kilometers of transportation and the total carbon emission reduction amount of the platform can be estimated. The details are shown in the following table:
the above table only schematically illustrates a specific implementation of the freight platform carbon emission reduction estimation method of the present application, and the present application is not limited thereto.
Further, by combining the above manner, the order turnover amount of the platform and the corresponding carbon emission reduction amount can be calculated for each order on the platform.
In some embodiments of the present application, the calculated carbon emission reduction may be presented to a user. In some variations, when the calculated carbon reduction amount is less than the set threshold, the platform server may also be prompted to update the freight vehicle scheduling algorithm, such as by way of an alarm message or an indication message, so as to increase the average loading rate of the platform vehicles.
Based on the principle, the application also provides a freight platform carbon emission reduction estimation method. Referring to fig. 3, fig. 3 shows a flow chart of a shipping platform carbon emission reduction estimation method according to an embodiment of the invention.
The freight platform carbon emission reduction estimation method comprises the following steps:
step S210: and calculating the carbon emission saving coefficient of the freight platform according to the whole-process average full load rate of the platform driver, the whole-process average full load rate of the non-platform driver and the ratio of the total vehicle weight of the vehicle object when the vehicle object is fully loaded and unloaded.
Specifically, assuming that the total transportation turnover is T ton km, for this, the full-load driving range of the vehicle object is required to be
Assuming that the average load factor of the platform vehicle and the non-platform vehicle in the range going is the same and is rTo get rid of(ii) a Because the freight platform is used for finding the freight, the freight platform can realize high-efficiency freight scheduling through a scheduling algorithm, so that the return average full load rates are different and are r respectivelyGo back and flatAnd rAm, am(ii) a If the round trip mileage is assumed to be the same, then the global average load rates for the platform and non-platform vehicles are:
according to the definition of full load rate, corresponding to the full load driving mileage
The empty driving range of the platform vehicle and the non-platform vehicle is respectively
And
based on the mileage estimation, the total emissions of the platform driver are:
the total emissions of non-flatbed drivers are:
thus, the carbon emission savings factor for the platform versus the non-platform is:
it can be seen that the carbon emission savings factor s for a cargo platform versus a non-platform vehicle depends only on the global average load factor r for the platform and non-platform vehiclesIs not、rFlat plateAnd when the vehicle object is full and empty
Ratio of total vehicle weight
And carbon emission per kilometer at no load c0The specific numerical values of (A) are irrelevant.
Step S220: and calculating the carbon footprint of the freight platform according to the total turnover amount of the platform orders of the freight platform.
Step S230: and calculating 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.
In some implementations, assume a vehicle weight at empty time of a vehicle object is t010 tons, full load tF25 tons, the total weight of the truck is 35 tons, and K is 0.7, so that
Platform and non-platform loading rate values are then carried in to calculate the carbon emission savings factor for the platform.
To this end. The distance-removing full load rate platform and the non-platform vehicle are both rTo get rid of95%, respectively calculating the return full load rate of the platform as rGo back and flatAnd obtaining a saving coefficient-non-platform driver return full rate curve by the saving coefficients under the three conditions of 75%, 85% and 95%. For the return-stroke full load rate of a non-platform driver with the return-stroke full load rate of 20-40% and the return-stroke full load rate of a platform driver of 75-95%, the carbon emission saving coefficient of the platform can be estimated to be 10-20% according to the curve of the saving coefficient-the return-stroke full load rate of the non-platform driver
On the basis of national carbon emission data, highway freight has carbon emissions of around 6 hundred million tons per year. The turnover of freight for one year, calculated from the freight platform using the fill order, is 6932 hundred million tonnes kilometers. The national freight turnover counted by the department of transportation is 60171 hundred million tons kilometers. According to this ratio, the carbon footprint involved in the platform is about 6900 million tons. Thus, the carbon emission saved by the freight platform due to the reduction of the empty distance of the return drivers in one year can be estimated to be between 700 and 1400 million tons.
In some embodiments of the present application, the calculated carbon emission reduction may be presented to a user. In some variations, when the calculated carbon reduction amount is less than the set threshold, the platform server may also be prompted to update the freight vehicle scheduling algorithm, such as by way of an alarm message or an indication message, so as to increase the average loading rate of the platform vehicles.
The foregoing is merely an exemplary description of various embodiments of the invention and is not intended to be limiting thereof. The above-described embodiments may be implemented individually or in combination, and such variations are within the scope of the invention.
According to another aspect of the invention, a freight platform carbon emission reduction estimation device is further provided, and fig. 4 shows a block diagram of the freight platform carbon emission reduction estimation device according to the embodiment of the invention. The freight platform carbon emission reduction estimation apparatus 300 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.
The acquisition module 310 is configured to acquire historical transportation data of platform drivers and historical transportation data of non-platform drivers;
the first calculation module 320 is configured to calculate a total carbon emission of the platform driver and a total turnover of the platform driver based on the historical transportation data of the platform driver;
the second calculation module 330 is configured to calculate a unit carbon emission of the platform driver based on a ratio of the total carbon emission of the platform driver to the total turnover of the platform driver;
the third calculation module 340 is configured to calculate the total carbon emission of the non-platform driver and the total turnover of the non-platform driver according to the historical transportation data of the non-platform driver;
the fourth calculation module 350 is configured to calculate the unit carbon emission of the non-platform driver according to the ratio of the total carbon emission of the non-platform driver to the total turnover of the non-platform driver;
the fifth calculation module 360 is configured to calculate a platform driver turnover conversion ratio according to a ratio of the total turnover of the platform driver to the turnover of the platform manifest of the platform driver;
the sixth calculation module 370 is configured to take the product of the difference between the unit carbon emissions of the platform driver and the unit carbon emissions of the non-platform driver and the conversion ratio of the turnover of the platform driver as the unit carbon emission reduction of the freight platform.
In the freight platform carbon emission reduction estimation device provided by the invention, the unit carbon emission reduction amount of the freight platform is calculated and obtained according to the historical transportation data by acquiring the historical transportation data of a platform driver and the historical transportation data of a non-platform driver, so that the estimation of the carbon emission reduction amount of the freight platform is conveniently realized.
Fig. 4 is a schematic diagram illustrating the freight platform carbon emission reduction estimation device 300 provided by the present invention, and the splitting, combining and adding of modules are within the protection scope of the present invention without departing from the concept of the present invention. The freight platform carbon emission reduction estimation apparatus 300 provided by the present invention may be implemented by software, hardware, firmware, plug-in, and any combination thereof, and the present invention is not limited thereto.
According to still another aspect of the invention, a freight platform carbon emission reduction estimation device is further provided, and fig. 5 shows a block diagram of the freight platform carbon emission reduction estimation device according to the embodiment of the invention. The freight platform carbon emission reduction estimation apparatus 400 includes a seventh calculation module 410, an eighth calculation module 420, and a ninth calculation module 430.
The seventh calculation module 410 is configured to calculate a carbon emission savings factor for the freight platform based on the full-range average load rate of the platform driver, the full-range average load rate of the non-platform driver, and the ratio of the total vehicle weight when the vehicle object is full and empty;
the eighth calculation module 420 is configured to calculate the carbon footprint of the shipping platform based on the total turnover of platform orders for the shipping platform;
the ninth calculation module 430 is configured as a seventh calculation module configured to calculate a total carbon reduction capacity of the cargo platform based on a product of the carbon footprint of the cargo platform and the carbon emission savings coefficient.
In the freight platform carbon emission reduction estimation device provided by the invention, the total carbon emission reduction amount of the freight platform is calculated according to the whole-process average full load rate of a platform driver, the whole-process average full load rate of a non-platform driver, the ratio of the total weight of a vehicle object when the vehicle object is fully loaded and unloaded and the carbon footprint of the freight platform, so that the estimation of the carbon emission reduction amount of the freight platform is convenient to realize.
Fig. 5 is a schematic diagram illustrating the freight platform carbon emission reduction estimation device 400 provided by the present invention, and the splitting, combining and adding of modules are within the protection scope of the present invention without departing from the concept of the present invention. The freight platform carbon emission reduction estimation apparatus 400 provided by the present invention may be implemented by software, hardware, firmware, plug-in, and any combination thereof, and the present invention is not limited thereto.
In an exemplary embodiment of the invention, there is further provided a computer readable storage medium, on which a computer program is stored, which when executed by, for example, a processor, may implement the steps of the freight platform carbon emission reduction estimation method described in any one of the above embodiments. In some possible embodiments, aspects of the present invention may also be implemented in the form of a program product comprising program code for causing a terminal device to perform the steps according to various exemplary embodiments of the present invention described in the freight platform carbon emission reduction estimation method section above of this specification, when the program product is run on the terminal device.
Referring to fig. 6, a program product 700 for implementing the above method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a 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 foregoing.
The computer readable storage medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable storage medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the tenant computing device, partly on the tenant device, as a stand-alone software package, partly on the tenant computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing devices may be connected to the tenant computing device through any kind 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., through the internet using an internet service provider).
In an exemplary embodiment of the invention, there is also provided an electronic device that may include a processor and a memory for storing executable instructions of the processor. Wherein the processor is configured to perform the steps of the freight platform carbon emission reduction estimation method of any of the above embodiments via execution of the executable instructions.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
An electronic device 500 according to this embodiment of the invention is described below with reference to fig. 7. The electronic device 500 shown in fig. 7 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 7, the electronic device 500 is embodied in the form of a general purpose 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 memory unit 520, a bus 530 that couples various system components including the memory unit 520 and the processing unit 510, a display unit 540, and the like.
Wherein the memory unit stores program code executable by the processing unit 510 to cause the processing unit 510 to perform steps according to various exemplary embodiments of the present invention as described in the freight platform carbon emission reduction estimation methods section above. For example, the processing unit 510 may perform the steps as shown in fig. 1.
The memory unit 520 may include a readable medium in the form of a volatile memory unit, such as a random access memory unit (RAM)5201 and/or a cache memory unit 5202, and may further include a read only memory unit (ROM) 5203.
The memory unit 520 may also include a program/utility 5204 having a set (at least one) of program modules 5205, such program modules 5205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The electronic device 500 may also communicate with one or more external devices 600 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a tenant to interact with the electronic device 500, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 500 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interfaces 550. Also, the electronic device 500 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 560. The network adapter 560 may communicate with other modules of the electronic device 500 via the bus 530. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction 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, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiment of the present invention may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, or a network device, etc.) to execute the freight platform carbon emission reduction estimation method according to the embodiment of the present invention.
Compared with the prior art, the invention has the advantages that:
the method and the device obtain the unit carbon emission reduction amount of the freight platform by obtaining the historical transportation data of the platform driver and the historical transportation data of the non-platform driver and calculating according to the historical transportation data, thereby facilitating the estimation of the carbon emission reduction amount of the freight platform.
The total carbon emission reduction amount of the freight platform is calculated according to the whole-process average full load rate of a platform driver, the whole-process average full load rate of a non-platform driver, the ratio of the total weight of a vehicle object when the vehicle object is fully loaded and unloaded and the carbon footprint of the freight platform, so that the estimation of the carbon emission reduction amount of the freight platform is convenient to realize.
Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.
Claims (10)
1. A freight platform carbon emission reduction estimation method is characterized by comprising the following steps:
acquiring historical transportation data of a platform driver and historical transportation data of a non-platform driver;
calculating the total carbon emission of the platform driver and the total turnover of the platform driver according to the historical transportation data of the platform driver;
calculating the unit carbon emission of the platform driver according to the ratio of the total carbon emission of the platform driver to the total turnover of the platform driver;
calculating the total carbon emission of the non-platform driver and the total turnover of the non-platform driver according to the historical transportation data of the non-platform driver;
calculating the unit carbon emission of the non-platform driver according to the ratio of the total carbon emission of the non-platform driver to the total turnover of the non-platform driver;
calculating the turnover conversion ratio of the platform driver according to the ratio of the total turnover of the platform driver to the turnover of the platform freight note of the platform driver;
and taking the product of the difference value of the unit carbon emission of the platform driver and the unit carbon emission of the non-platform driver and the conversion ratio of the turnover of the platform driver as the unit carbon emission reduction of the freight platform.
2. The method for estimating carbon emissions reduction of a freight platform according to claim 1, wherein the step of multiplying the difference between the unit carbon emission of the platform driver and the unit carbon emission of the non-platform driver by the turnover conversion ratio of the platform driver as the unit carbon emission reduction of the freight platform further comprises:
and calculating the total carbon reduction amount of the freight platform in a set time period according to the product of the unit carbon reduction amount of the freight platform and the total turnover amount of the platform order of the freight platform in the set time period.
3. The freight platform carbon emission reduction estimation method according to claim 1, wherein the total carbon emission of the platform driver is calculated from a sum of a carbon emission of a pure idle trip of the platform driver, a carbon emission of a non-idle trip of a platform waybill of the platform driver, and a carbon emission of a non-idle trip of a non-platform waybill of the platform driver, and the total turnover of the platform driver is calculated from a sum of a turnover of the platform waybill of the platform driver and a turnover of the non-platform waybill of the platform driver.
4. The freight platform carbon emission reduction estimation method according to claim 1, wherein the total carbon emission of the non-platform driver is calculated from a sum of the carbon emission of the non-platform driver on the pure idle trip and the carbon emission of the non-platform waybill on the non-idle trip; and the total turnover amount of the non-platform driver is the total turnover amount of the non-platform freight note of the non-platform driver.
5. The method for estimating carbon emission reduction of a freight transportation platform as claimed in claim 1, wherein the method for estimating carbon emission reduction of a freight transportation platform calculates the unit carbon emission reduction of the freight transportation platform according to different vehicle types, and calculates the total carbon emission reduction of the freight transportation platform according to the unit carbon emission reduction of the freight transportation platform according to different vehicle types.
6. A freight platform carbon emission reduction estimation method is characterized by comprising the following steps:
calculating the carbon emission saving coefficient of the freight platform according to the whole-course average full load rate of the platform driver, the whole-course average full load rate of the non-platform driver and the ratio of the total vehicle weight of the vehicle object when the vehicle object is fully loaded and unloaded;
calculating the carbon footprint of the freight platform according to the total turnover of the platform order of the freight platform;
and calculating 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.
7. A freight platform carbon emission reduction estimation device, comprising:
an acquisition module configured to acquire historical transportation data of platform drivers and historical transportation data of non-platform drivers;
a first calculation module configured to calculate a total carbon emission of a platform driver and a total turnover of the platform driver based on historical transportation data of the platform driver;
a second calculation module configured to calculate a unit carbon emission of a platform driver based on a ratio of a total carbon emission of the platform driver to a total turnover of the platform driver;
a third calculation module configured to calculate a total carbon emission of the non-platform driver and a total turnover of the non-platform driver based on the historical transportation data of the non-platform driver;
a fourth calculation module configured to calculate a unit carbon emission of the non-platform driver according to a ratio of the total carbon emission of the non-platform driver to a total turnover of the non-platform driver;
the fifth calculation module is configured to calculate the turnover conversion ratio of the platform driver according to the ratio of the total turnover of the platform driver to the turnover of the platform freight note of the platform driver;
and the sixth calculation module is configured to take the product of the difference value of the unit carbon emission of the platform driver and the unit carbon emission of the non-platform driver and the conversion ratio of the turnover amount of the platform driver as the unit carbon emission reduction amount of the freight platform.
8. A freight platform carbon emission reduction estimation device, comprising:
a seventh calculation module configured to calculate a carbon emission savings factor for the freight platform based on the global average full load rate of the platform driver, the global average full load rate of the non-platform driver, and a ratio of total vehicle weight when the vehicle object is fully loaded and unloaded;
an eighth calculation module configured to calculate a carbon footprint of a shipping platform based on a total turnover of platform orders for the shipping platform;
a ninth calculation module configured as a seventh calculation module configured to calculate a total carbon reduction capacity of the cargo platform based on a product of the carbon footprint of the cargo platform and the carbon emission saving coefficient.
9. An electronic device, characterized in that the electronic device comprises:
a processor;
a memory having stored thereon a computer program which, when executed by the processor, performs the freight platform carbon emissions reduction estimation method of any one of claims 1 to 6.
10. A storage medium having stored thereon a computer program which, when executed by the processor, performs the freight platform carbon emissions reduction estimation method of any one of claims 1 to 6.
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| CN106096312B (en) * | 2016-06-28 | 2019-02-05 | 美商宏鹰国际货运（上海）有限公司 | A kind of means of transport carbon emission calculation method and system |
| CN114022006A (en) * | 2021-11-10 | 2022-02-08 | 江苏满运软件科技有限公司 | Freight platform carbon emission reduction estimation method and device, electronic equipment and storage medium |
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