CN111882353A - Bus segmented carbon integration calculation method based on relative comparison principle - Google Patents

Bus segmented carbon integration calculation method based on relative comparison principle Download PDF

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Publication number
CN111882353A
CN111882353A CN202010720148.8A CN202010720148A CN111882353A CN 111882353 A CN111882353 A CN 111882353A CN 202010720148 A CN202010720148 A CN 202010720148A CN 111882353 A CN111882353 A CN 111882353A
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user
vehicle
carbon
bus
mileage
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李孟凡
刘一恒
班世豪
舒凡娣
张驰
刘明仪
陈茜雯
邹伯康
张夏
任权
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China Three Gorges University CTGU
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
    • G06Q30/0226—Incentive systems for frequent usage, e.g. frequent flyer miles programs or point systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/26—Government or public services
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0841—Registering performance data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/029—Location-based management or tracking services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30—Services specially adapted for particular environments, situations or purposes
    • H04W4/35—Services specially adapted for particular environments, situations or purposes for the management of goods or merchandise
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30—Services specially adapted for particular environments, situations or purposes
    • H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
    • H04W4/42—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for mass transport vehicles, e.g. buses, trains or aircraft

Abstract

A bus subsection carbon integration calculation method based on a relative comparison principle comprises the following steps: step 1, a user gets on a vehicle and a user terminal is interconnected with a vehicle-mounted system; step 2, acquiring geographical position information and travel time information of a user; step 3, acquiring the geographic position information of the vehicle and the accumulated oil consumption data of the unit mileage of the vehicle; step 4, acquiring the information of the user getting-off node, and terminating the calculation of the carbon integral after the user gets off the vehicle; wherein the carbon integral calculation is started after the vehicle is running; the invention aims to provide a method for acquiring carbon points accurately reflecting personal carbon emission intensity on the basis of quantitatively evaluating the personal contribution reduced carbon emission intensity of mass vehicles such as buses.

Description

Bus segmented carbon integration calculation method based on relative comparison principle
Technical Field
The invention relates to a human-vehicle interaction method and a human-vehicle interaction system, in particular to a method for calculating carbon integral by bus sections, and particularly relates to a method for calculating carbon integral by bus sections based on a relative comparison principle.
Background
Many methods have been derived to track and encourage the reduction of personal carbon emissions, such as the information technology services company sources (Atos Origin) announcements that personal carbon emission intensity can be automatically captured and recorded by various means, such as credit cards, debit cards, and membership and fueling cards; the Nanchang subway aigrette APP combined industry partner jointly releases subway passenger carbon emission reduction service, each subway exit of citizens is brought into a personal carbon emission reduction account, and the passengers can freely borrow 5000 copies of original electronic books according to the personal carbon account points; nanjing purple cloud technology introduced activities of carbon credit virtual currency to real currency, and the like.
The methods encourage users to go out with low carbon to some extent, but unreasonable points exist in the specific algorithm process, for example, the personal carbon emission intensity is simply and roughly calculated by judging the times of using a credit card, the times of taking a bus or a subway, the travel, the time and other parameters of the users, certain accuracy and scientificity are lacked, and the key point is that the personal carbon emission intensity is accurately calculated and the reduced carbon emission intensity contributed by each person is quantitatively evaluated if the low carbon travel activity really achieves the low carbon effect.
Disclosure of Invention
The invention aims to provide a method for acquiring carbon points accurately reflecting personal carbon emission intensity on the basis of quantitatively evaluating the personal contribution reduced carbon emission intensity of mass vehicles such as buses.
In order to solve the technical problems, the invention provides the following technical scheme:
a bus subsection carbon integration calculation method based on a relative comparison principle comprises the following steps:
step 1, a user gets on a vehicle and a user terminal is interconnected with a vehicle-mounted system;
step 2, acquiring geographical position information and travel time information of a user;
step 3, acquiring the geographic position information of the vehicle and the accumulated oil consumption data of the unit mileage of the vehicle;
step 4, acquiring the information of the user getting-off node, and terminating the calculation of the carbon integral after the user gets off the vehicle;
wherein the carbon integral calculation is started after the vehicle is running;
in the step 1), a user uses an electronic wallet of the mobile terminal to scan a code to pay for getting on the vehicle, so that the mobile terminal is interconnected with a vehicle-mounted system; in the step 2), the user acquires the geographical position information and the travel time information of the user through the user terminal; in the step 3), the user terminal acquires the data of the OBD detection system of the vehicle and stores a travel data set of the vehicle taken by the user, wherein the travel data set comprises the real-time position of the vehicle of the user and the accumulated oil consumption of the vehicle in unit mileage; in the step 4), the node for the user to get off is judged by continuously judging the distance relationship between the geographic coordinate of the user and the geographic coordinate of the vehicle.
The calculation of the carbon integral described above comprises the steps of:
step 1) segmenting a user journey by taking the number x km of the appointed driving mileage of a vehicle as a boundary;
step 2) performing basic integration on the mileage which is less than or equal to the specified driving mileage of the vehicle: the carbon dioxide emission intensity of the small automobile under the same condition is directly used as the carbon integral of the user, so that the effect of exciting the user is achieved; and (3) when the number of the mileage is larger than the specified driving mileage of the vehicle, carrying out reward points: in the remaining mileage after the specified driving mileage of the vehicle is removed, the carbon dioxide emission intensity of the small car minus the carbon dioxide emission intensity of the bus is used as a user reward point, and finally the user reward point and the basic point are superposed to obtain a total carbon point, and the calculated carbon point can quantitatively evaluate the emission reduction contribution made by the user;
and 3) finishing the carbon integration, and displaying the carbon integration value by the mobile terminal.
In step 2), when segmenting and comparing the carbon integral calculation, the following steps are adopted:
step A: when the travel distance length is less than or equal to xkm, the carbon emission reduction intensity of the bus is equal to the carbon emission intensity of the small automobile within the same mileage, called as the basic carbon integral, and the basic carbon integral is converted into the carbon emission reduction intensity of the user, so that the effect of exciting the user is achieved, and the calculation formula is as follows:
Figure BDA0002598737420000021
wherein length is the length of the mileage, and x is the specified mileage;
Figure BDA0002598737420000022
the energy consumption intensity of a small automobile within hundreds of kilometers in specified driving mileage is taken as reference; cniFor reference, a small car runs for hundreds of kilometers of CO in specified mileage2The emission intensity specifically comprises the following algorithms:
energy consumption intensity of hundred kilometers in a specified section of travel:
Figure BDA0002598737420000023
within a specified section of travelKilometer CO2Emission intensity:
Figure BDA0002598737420000024
wherein FnTotal energy consumption of small car in hundred kilometers fnThe total energy consumption basic value of hundred kilometers of the small-sized automobile; cnFor a small car hundred kilometers of total CO2Discharge amount, cnFor a small car hundred kilometers of total CO2The discharge amount base value. By using energy consumption and CO2The emission is set as a basic value, so that the energy consumption intensity and the carbon emission intensity of the low-energy-consumption and low-emission automobile can be reasonably and mathematically reduced, and the use of the low-energy-consumption and low-emission automobile is effectively encouraged.
and a, b, c and d are correction parameters of different energy types, and the energy use scene of the user in the trip can be fully described by introducing the correction parameters aiming at the different energy types.
And B: when length is larger than xkm, the total carbon emission amount of the bus is divided by the number of people in the bus to calculate the average carbon emission generated by a single user, then the carbon emission intensity of the small-sized automobile in the same mileage is compared, the carbon dioxide emission intensity reduced by the bus is directly used as the rewarding carbon integral of the user larger than x Km, and the calculation formula is as follows:
Figure BDA0002598737420000031
wherein
Figure BDA0002598737420000032
Energy consumption intensity of hundreds of kilometers in driving mileage is appointed for a bus taken by a user;
Figure BDA0002598737420000033
hundred kilometers CO within specified driving mileage of bus taken by user2The discharge intensity; num is the number of the passengers carried by the bus;
Figure BDA0002598737420000034
the algorithm is consistent with the above;
and C: the user selects the total carbon point of the bus for one trip, namely the basic point and the reward point:
Wbi＝WBCi+WREi
in the formula WbiSelecting the total score obtained at the ith bus trip time for the user; wBCiA base score obtained for the user; wREiReward points earned for the user;
step D: and selecting the total carbon integral of the bus for i trips as the sum of the integral actions repeated for i times:
Figure BDA0002598737420000035
in step 4, when judging whether the user gets off the vehicle, the method specifically comprises the following steps:
(1) acquiring a human-vehicle longitude distance difference and a human-vehicle latitude distance difference;
difference of longitude distance between human and vehicle:
Figure BDA0002598737420000036
difference of latitude distance of people and vehicles:
Figure BDA0002598737420000037
(2) acquiring the distance between a person and a vehicle:
Figure BDA0002598737420000038
wherein (x)si,ysi) As the user coordinate position, (x)i',yi') And w is a vehicle coordinate position, and is a vehicle position relation judgment parameter. By setting the value of w as the standard distance
Figure BDA0002598737420000041
When the user is not in the vehicle, the carbon integration is ended; when in use
Figure BDA0002598737420000042
When the user is on the vehicle, the carbon integration is continued. By introducing judgment on the position relation of the carbon, the accuracy of carbon point distribution can be effectively enhanced.
A system for calculating carbon integral by sections for buses comprises a user terminal, a data processing module and a data processing module, wherein the user terminal is used for being interconnected with a vehicle-mounted terminal on a vehicle;
the vehicle-mounted terminal on the vehicle is used for acquiring the boarding node information of the user in cooperation with the user terminal, interconnecting with the user terminal and acquiring vehicle oil consumption data and driving mileage data;
the user terminal is provided with a user terminal positioning device for acquiring user position information;
the vehicle positioning terminal is arranged on the vehicle and used for acquiring vehicle position information;
and the central server is connected with the user terminal and/or the vehicle-mounted terminal and is used for acquiring the time node of getting off the vehicle by the user and calculating the carbon point.
The user terminal is a mobile terminal; the vehicle-mounted terminal also comprises an OBD module.
The invention has the following beneficial effects:
1) aiming at a public transport means such as a bus, the method obtains the accumulated oil consumption condition of the mileage of a vehicle unit through an OBD real-time monitoring system, directly and quantitatively calculates the carbon dioxide emission intensity of the vehicle by means of a model, and aiming at the public transport means such as the bus, the carbon dioxide emission intensity with less emission of the bus corresponding to the common carbon dioxide emission intensity of the small cars under the same condition is calculated by comparing the common carbon dioxide emission intensity of the small cars under the same condition, so that the emission reduction contribution degree made by a user for selecting the public transport is accurately evaluated;
2) the carbon emission intensity reduced by a user when the user selects a bus and takes a private small automobile is calculated by obtaining the accumulated oil consumption of a unit mileage in the data of the OBD real-time detection system, the carbon emission intensity reduced by the user when the user selects the bus and takes the private small automobile can be calculated more accurately under the condition of traffic jam or normal driving, the number of mileage specified by the vehicle is taken as a boundary, basic points and reward points are carried out, and the carbon emission intensity reduced by the bus is used for quantitatively evaluating the emission reduction contribution made by the user by comparing the carbon emission intensity of the small automobile under the same condition.
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The invention is further explained below with reference to the figures and examples;
FIG. 1 is a flow chart of a method for calculating carbon integral by bus segment according to the invention;
FIG. 2 is a block diagram of a hardware device system according to the present invention;
fig. 3 is a schematic structural diagram of a system for calculating carbon integral by bus segment in the invention.
Detailed Description
As shown in fig. 1, a method for calculating carbon integral in sections for buses based on a relative comparison principle includes the following steps:
step 1, a user gets on a vehicle and a user terminal is interconnected with a vehicle-mounted system;
step 2, acquiring geographical position information and travel time information of a user;
step 3, acquiring the geographic position information of the vehicle and the accumulated oil consumption data of the unit mileage of the vehicle;
step 4, acquiring the information of the user getting-off node, and terminating the calculation of the carbon integral after the user gets off the vehicle;
wherein the carbon integral calculation is started after the vehicle is running;
in the step 1), a user uses an electronic wallet of the mobile terminal to scan a code to pay for getting on the vehicle, so that the mobile terminal is interconnected with a vehicle-mounted system; in the step 2), the user acquires the geographical position information and the travel time information of the user through the user terminal; in the step 3), the user terminal acquires the data of the OBD detection system of the vehicle and stores a travel data set of the vehicle taken by the user, wherein the travel data set comprises the real-time position of the vehicle of the user and the accumulated oil consumption of the vehicle in unit mileage; in the step 4), the node for the user to get off is judged by continuously judging the distance relationship between the geographic coordinate of the user and the geographic coordinate of the vehicle.
The calculation of the carbon integral described above comprises the steps of:
step 1) taking the number x of the specified driving mileage of the vehicle as a boundary, and segmenting the user journey;
step 2) performing basic integration on the mileage which is less than or equal to the specified driving mileage of the vehicle: the carbon dioxide emission intensity of the small automobile under the same condition is directly used as the carbon integral of the user, so that the effect of exciting the user is achieved; and (3) when the number of the mileage is larger than the specified driving mileage of the vehicle, carrying out reward points: in the remaining mileage after the specified driving mileage of the vehicle is removed, the carbon dioxide emission intensity of the small car minus the carbon dioxide emission intensity of the bus is used as a user reward point, and finally the user reward point and the basic point are superposed to obtain a total carbon point, and the calculated carbon point can quantitatively evaluate the emission reduction contribution made by the user;
and 3) finishing the carbon integration, and displaying the carbon integration value by the mobile terminal.
In step 2), when segmenting and comparing the carbon integral calculation, the following steps are adopted:
step A: when the travel distance length is less than or equal to 3km, the carbon emission reduction intensity of the bus is equal to the carbon emission intensity of the small car in the same mileage, which is called as a basic carbon integral, and the basic carbon integral is converted into the carbon emission reduction intensity of the user, so that the effect of exciting the user is achieved, and a calculation formula is shown:
Figure BDA0002598737420000051
wherein length is the length of the mileage, and x is the specified mileage;
Figure BDA0002598737420000052
the energy consumption intensity of a small automobile within hundreds of kilometers in specified driving mileage is taken as reference; cniFor reference to the emission intensity of a small car in hundreds of kilometers of CO2 in specified driving miles, the specific algorithm is as follows:
energy consumption intensity of hundred kilometers in a specified section of travel:
Figure BDA0002598737420000061
hundred kilometers of CO in a specified section of travel2Emission intensity:
Figure BDA0002598737420000062
wherein FnTotal energy consumption of small car in hundred kilometers fnThe total energy consumption basic value of hundred kilometers of the small-sized automobile; cnFor a small car hundred kilometers of total CO2Discharge amount, cnFor a small car hundred kilometers of total CO2The discharge amount base value. By using energy consumption and CO2The emission is set as a basic value, so that the energy consumption intensity and the carbon emission intensity of the low-energy-consumption and low-emission automobile can be reasonably and mathematically reduced, and the use of the low-energy-consumption and low-emission automobile is effectively encouraged.
and a, b, c and d are correction parameters of different energy types, and the energy use scene of the user in the trip can be fully described by introducing the correction parameters aiming at the different energy types.
And B: when the length is more than 3Km, the total carbon emission amount taken by the bus is divided by the number of people carried in the core to calculate the average carbon emission generated by a single user, then the carbon emission intensity of the small-sized automobile in the same mileage is compared, the carbon dioxide emission intensity reduced by the bus is directly used as the rewarding carbon integral of the user more than 3Km, and the calculation formula is as follows:
Figure BDA0002598737420000063
wherein
Figure BDA0002598737420000064
Energy consumption intensity of hundreds of kilometers in driving mileage is appointed for a bus taken by a user;
Figure BDA0002598737420000065
hundred kilometers CO within specified driving mileage of bus taken by user2The discharge intensity; num is the number of the passengers carried by the bus;
Figure BDA0002598737420000066
the algorithm is consistent with the above;
and C: the user selects the total carbon point of the bus for one trip, namely the basic point and the reward point:
Wbi＝WBCi+WREi
in the formula WbiSelecting the total score obtained at the ith bus trip time for the user; wBCiA base score obtained for the user; wREiReward points earned for the user;
step D: and selecting the total carbon integral of the bus for i trips as the sum of the integral actions repeated for i times:
Figure BDA0002598737420000067
in step 4, when judging whether the user gets off the vehicle, the method specifically comprises the following steps:
(1) acquiring a human-vehicle longitude distance difference and a human-vehicle latitude distance difference;
difference of longitude distance between human and vehicle:
Figure BDA0002598737420000071
difference of latitude distance of people and vehicles:
Figure BDA0002598737420000072
(2) acquiring the distance between a person and a vehicle:
Figure BDA0002598737420000073
wherein (x)si,ysi) As the user coordinate position, (x)i',yi') Is the vehicle coordinate position; w is a position man-vehicle relation judgment parameter, and can be set to be 0.02km when the standard distance is reached
Figure BDA0002598737420000074
When it is, the user is considered to haveIf the vehicle is not on, the carbon integration is ended; when in use
Figure BDA0002598737420000075
When the user is on the vehicle, the carbon integration is continued.
As shown in fig. 3, a system for calculating carbon integral by bus segment includes a user terminal for interconnection with a vehicle-mounted terminal on a vehicle;
the vehicle-mounted terminal on the vehicle is used for acquiring the boarding node information of the user in cooperation with the user terminal, interconnecting with the user terminal and acquiring vehicle oil consumption data and driving mileage data;
the user terminal is provided with a user terminal positioning device for acquiring user position information;
the vehicle positioning terminal is arranged on the vehicle and used for acquiring vehicle position information;
and the central server is connected with the user terminal and/or the vehicle-mounted terminal and is used for acquiring the time node of getting off the vehicle by the user and calculating the carbon point.
A bus subsection carbon integral calculation method based on a relative comparison principle is suitable for a system for calculating the carbon integral of the bus subsection.
Optionally, the user terminal is a mobile terminal; the vehicle-mounted terminal also comprises an OBD module.
Wherein a, b, c and d are correction parameters of different energy types, and the specific reference values are as follows:
Figure BDA0002598737420000076
wherein f isnIs the total energy consumption basic value of hundred kilometers of the small-sized automobile, cnFor a small car hundred kilometers of total CO2And (3) discharging a basic value, namely increasing the basic value of the natural gas vehicle for advocating the use of the natural gas vehicle, so as to reduce the hundred-kilometer strength calculation result of the natural gas vehicle, wherein specific reference values are as follows:
Figure BDA0002598737420000081
further, as shown in fig. 2, the hardware system required for carbon integration mainly includes: GPS locator, OBD detecting system, mobile terminal, specific basic requirement is as follows:
GPS localizer: the terminal with built-in GPS module and mobile communication module is used to transmit the positioning data obtained by GPS module to a server on Internet through mobile communication module (gsm/gprs network), so as to realize the inquiry of terminal position on computer or mobile phone.
Basic requirements of the OBD detection system configuration are as follows: standardized data diagnostic interfaces (SAE-J1962), standardized decoders (SAE-J1978), standardized electronic communication protocols (Kw2000, CAN, CLASSI, ISO9141, etc.), standardized diagnostic trouble codes (DTC, SAE-J2012), standardized service intelligence (SAE-J2000).
The basic requirements of the mobile terminal configuration hardware are as follows: the terminal is embedded with DM client software, and reserves enough space in a nonvolatile memory, wherein the reserved space can store information; the terminal should reserve enough RAM space for the operation of the implanted DM client software. The space size is not less than 500K; the terminal device should support OMA, version dm1.1.2 and need to support OMA DL1.0, OMA FUM01.0, etc.
Aiming at the mode of bus trip, the invention adopts a method of comparing the carbon emission intensity of the relative compact cars and calculating the carbon integral by sections: the method has the advantages that the specified driving mileage of the vehicle is taken as a boundary, the carbon emission intensity of the small automobile under the same condition is directly used as the reduced carbon emission intensity contributed by the user to select the bus within the specified value of the bus mileage, the incentive effect is achieved, the difference between the carbon emission intensity of the small automobile under the same mileage and the carbon emission intensity of the bus is taken as the reduced carbon emission intensity contributed by the user when the specified driving mileage of the vehicle is exceeded, the reduced carbon emission intensity contributed by the user in all the mileage is the sum of the two, and the sum is directly converted into the carbon integral.

Claims (8)

1. A bus subsection carbon integration calculation method based on a relative comparison principle is characterized by comprising the following steps:
step 1, a user gets on a vehicle and a user terminal is interconnected with a vehicle-mounted system;
step 2, acquiring geographical position information and travel time information of a user;
step 3, acquiring the geographic position information of the vehicle and the accumulated oil consumption data of the unit mileage of the vehicle;
step 4, acquiring the information of the user getting-off node, and terminating the calculation of the carbon integral after the user gets off the vehicle;
wherein the carbon integral calculation is initiated after the vehicle is running.
2. The bus segmentation carbon integration calculation method based on the relative comparison principle as claimed in claim 1, wherein: in the step 1), a user pays for getting on the bus by using an electronic wallet of the mobile terminal, so that the interconnection between the mobile terminal and a vehicle-mounted system is realized; in the step 2), the user acquires the geographical position information and the travel time information of the user through the user terminal; in the step 3), the user terminal acquires the data of the OBD detection system of the vehicle and stores a travel data set of the vehicle taken by the user, wherein the travel data set comprises the real-time position of the vehicle of the user and the accumulated oil consumption of the vehicle in unit mileage; in the step 4), the node for the user to get off is judged by continuously judging the distance relationship between the geographic coordinate of the user and the geographic coordinate of the vehicle.
3. The method for calculating the carbon integral of the bus in sections based on the relative comparison principle as claimed in claim 1 or 2, wherein the calculation of the carbon integral comprises the following steps:
step 1) taking the number of mileage specified by a vehicle as a boundary, and segmenting the user journey;
step 2) performing basic integration on the mileage which is less than or equal to the specified driving mileage of the vehicle: the carbon dioxide emission intensity of the small automobile under the same condition is directly used as the carbon integral of the user, so that the effect of exciting the user is achieved; and (3) when the number of the mileage is larger than the specified driving mileage of the vehicle, carrying out reward points: in the remaining mileage after the appointed driving mileage of the vehicle is removed, subtracting the carbon dioxide emission intensity of the bus from the carbon dioxide emission intensity of the small car to be used as a user reward point, finally superposing the user reward point with a basic point to obtain a total carbon point, and quantitatively evaluating the emission reduction contribution made by the user by the calculated carbon point;
and 3) finishing the carbon integration, and displaying the carbon integration value by the mobile terminal.
4. The method for calculating the carbon integral of the bus by sections based on the relative comparison principle as claimed in claim 3, wherein in the step 2), when the segmentation and the comparison of the carbon integral calculation are carried out, the following steps are adopted:
step A: when the travel distance length is less than or equal to xkm, the carbon emission reduction intensity of the bus is equal to the carbon emission intensity of the small automobile within the same mileage, called as the basic carbon integral, and the basic carbon integral is converted into the carbon emission reduction intensity of the user, so that the effect of exciting the user is achieved, and the calculation formula is as follows:
Figure FDA0002598737410000021
wherein length is the length of the mileage, and x is the specified mileage;
Figure FDA0002598737410000022
the energy consumption intensity of a small automobile within hundreds of kilometers in specified driving mileage is taken as reference; cniFor reference, a small car runs for hundreds of kilometers of CO in specified mileage2The emission intensity specifically comprises the following algorithms:
energy consumption intensity of hundred kilometers in a specified section of travel:
Figure FDA0002598737410000023
hundred kilometers of CO in a specified section of travel2Emission intensity:
Figure FDA0002598737410000024
wherein FnFor a small car hundred kilometersEnergy consumption, fnThe total energy consumption basic value of hundred kilometers of the small-sized automobile; cnFor a small car hundred kilometers of total CO2Discharge amount, cnFor a small car hundred kilometers of total CO2Basic value of emissions, by energy consumption and CO2Setting a basic value for the discharge amount;
and B: when length is larger than xkm, the total carbon emission amount of the bus is divided by the number of people in the bus to calculate the average carbon emission generated by a single user, then the carbon emission intensity of the small-sized automobile in the same mileage is compared, the carbon dioxide emission intensity reduced by the bus is directly used as the rewarding carbon integral of the user larger than x Km, and the calculation formula is as follows:
Figure FDA0002598737410000025
wherein
Figure FDA0002598737410000026
Energy consumption intensity of hundreds of kilometers in driving mileage is appointed for a bus taken by a user;
Figure FDA0002598737410000027
hundred kilometers CO within specified driving mileage of bus taken by user2The discharge intensity; num is the number of the passengers carried by the bus;
Figure FDA0002598737410000028
the algorithm is consistent with the above;
and C: the user selects the total carbon point of the bus for one trip, namely the basic point and the reward point:
Wbi＝WBCi+WREi
in the formula WbiSelecting the total score obtained at the ith bus trip time for the user; wBCiA base score obtained for the user; wREiReward points earned for the user;
step D: and selecting the total carbon integral of the bus for i trips as the sum of the integral actions repeated for i times:
Figure FDA0002598737410000031
5. the method for calculating the carbon integral in the bus section based on the relative comparison principle as claimed in claim 1 or 2, wherein in the step 4, when judging whether the user gets off the bus, the method specifically comprises the following steps:
(1) acquiring a human-vehicle longitude distance difference and a human-vehicle latitude distance difference;
difference of longitude distance between human and vehicle:
Figure FDA0002598737410000032
difference of latitude distance of people and vehicles:
Figure FDA0002598737410000033
(2) acquiring the distance between a person and a vehicle:
Figure FDA0002598737410000034
wherein (x)si,ysi) As the user coordinate position, (x)i',yi') The coordinate position of the vehicle is W, and the W is a vehicle position relation judgment parameter; by setting the value of w as the standard distance
Figure FDA0002598737410000035
When the user is not in the vehicle, the carbon integration is ended; when in use
Figure 1
When the user is on the vehicle, the carbon integration is continued.
6. A system for calculating carbon integral by sections for buses is characterized by comprising a user terminal, a data processing module and a data processing module, wherein the user terminal is used for being interconnected with a vehicle-mounted terminal on a vehicle;
the vehicle-mounted terminal on the vehicle is used for acquiring the boarding node information of the user in cooperation with the user terminal, interconnecting with the user terminal and acquiring vehicle oil consumption data and driving mileage data;
the user terminal is provided with a user terminal positioning device for acquiring user position information;
the vehicle positioning terminal is arranged on the vehicle and used for acquiring vehicle position information;
and the central server is connected with the user terminal and/or the vehicle-mounted terminal and is used for acquiring the time node of getting off the vehicle by the user and calculating the carbon point.
7. The system for calculating carbon credits for bus segments according to claim 6, characterized in that it further comprises a method according to claim 1 or 2 or 4.
8. The system for calculating carbon points for bus segments according to claim 6 or 7, wherein the user terminal is a mobile terminal; the vehicle-mounted terminal also comprises an OBD module.
CN202010720148.8A 2020-07-23 2020-07-23 Bus segmented carbon integration calculation method based on relative comparison principle Pending CN111882353A (en)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20110071734A (en) * 2009-12-21 2011-06-29 성균관대학교산학협력단 System and method for calculating carbon emission reduction using traffic card usage information
CN108551651A (en) * 2018-04-08 2018-09-18 深圳卡通新技术有限公司 Bus block meter rate method based on mobile terminal
KR20190143247A (en) * 2018-06-20 2019-12-30 박지우 System of authenticating certificated emissions reduction according to the use of public transportation

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20110071734A (en) * 2009-12-21 2011-06-29 성균관대학교산학협력단 System and method for calculating carbon emission reduction using traffic card usage information
CN108551651A (en) * 2018-04-08 2018-09-18 深圳卡通新技术有限公司 Bus block meter rate method based on mobile terminal
KR20190143247A (en) * 2018-06-20 2019-12-30 박지우 System of authenticating certificated emissions reduction according to the use of public transportation

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
封学军等: "《港区大气污染物排放清单编制技术及其应用》", 河海大学出版社 *

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