阅读说明：本技术 一种燃油车交通碳排放计算方法 (Method for calculating carbon emission of fuel vehicle traffic ) 是由 蔡爱丽 于 2021-07-30 设计创作，主要内容包括：本发明公开了一种燃油车交通碳排放计算方法,涉及环境监测技术,该方法包括：在所需计算交通碳排放量的区域首先接入汽车检测站数据库,获取不同燃油车在检测状态下单位时间内尾气排放中成分及含量信息,并基于此类信息计算出该车辆每升汽油所产生的碳排放量,即单位碳排放率；接着需要接入加油站信息库获取目标检测时间内燃油使用数据,与检测站的数据结合计算城市行驶碳排放率和高速行驶碳排放率；然后接入高速收费站数据库,获取不同车辆高速行驶里程,结合机动车检测站数据,获取不同碳排放等级的车辆的高速行驶碳排放量,进一步计算出其他数据。此种计量方式主要依靠软件系统结合现有数据加以实现,可以很好地节约人工和计量装置的成本。(The invention discloses a method for calculating carbon emission in traffic of a fuel vehicle, which relates to the technology of environmental monitoring and comprises the following steps: firstly, accessing an automobile detection station database in an area where the carbon emission of traffic needs to be calculated, acquiring component and content information in tail gas emission of different fuel vehicles in a unit time under a detection state, and calculating the carbon emission per liter of gasoline of the vehicle, namely the unit carbon emission rate, based on the information; then, accessing an information base of a gas station to obtain fuel use data at a target detection time, and calculating the urban driving carbon emission rate and the high-speed driving carbon emission rate by combining the fuel use data with the data of the detection station; and then accessing a database of a high-speed toll station to obtain the high-speed driving mileage of different vehicles, combining the data of the motor vehicle detection station to obtain the high-speed driving carbon emission of the vehicles with different carbon emission levels, and further calculating other data. The metering mode is realized by mainly combining a software system with the existing data, and the cost of manpower and a metering device can be well saved.)

1. A method for calculating carbon emission of fuel vehicle traffic is characterized by comprising the following steps:

the method comprises the following steps: accessing a motor vehicle detection station database, acquiring composition and content data of various components in tail gas discharged by a motor vehicle in a detection state and oil consumption data in unit detection time, combining other carbon dioxide equivalent in the discharged tail gas, converting other influences on carbon emission into carbon dioxide emission, and calculating the carbon emission generated when the motor vehicle consumes 1 liter in the detection state, namely unit carbon emission rate;

step two: accessing a gas station database in a target detection area, acquiring gas filling data of the gas station within a certain period of time, combining the gas filling data with proportion data of motor vehicles with different emission levels acquired and sorted by a detection station, calculating the total oil consumption of the vehicles with different carbon emission levels, and further determining the unit carbon emission rate of the motor vehicles in different driving states, namely the carbon emission amount generated by each liter of gasoline, based on the ratio of the carbon emission rate of the motor vehicles in different driving states to the carbon emission rate of the motor vehicles in the detection state;

step three: and accessing to a highway toll station database, acquiring high-speed driving records of different vehicles, and calculating the total high-speed oil consumption of the different vehicles by combining the carbon emission information of the vehicles detected by the motor vehicle detection station and the mathematical relationship between the high-speed oil consumption and the driving mileage.

2. The method for calculating carbon emission in fuel vehicle traffic according to claim 1, wherein the method comprises the following steps: the method for obtaining the composition and content data of different components in tail gas discharged by the motor vehicle in a detection state in the motor vehicle detection database and the oil consumption data in unit detection time and finally calculating the unit discharge rate comprises the following steps:

acquiring the total fuel quantity used by the motor vehicle in unit time, different components in generated tail gas and the content of the components in the tail gas in the detection state acquired in the motor vehicle detection process uploaded in a motor vehicle detection station through a data interface in a program compiled by a server; in which carbon dioxide and water are generated in the case of complete combustion of fuel used in the operation of an engine of a motor vehicle, and when the engine of the motor vehicle is operated and then incompletely combusted, the components of exhaust gas generated are mainly carbon monoxide, carbon dioxide, water, hydrocarbons and soot particles, among which carbon emission changes are mainly caused by various carbon-containing gases, i.e., carbon monoxide, carbon dioxide and hydrocarbons, i.e., CO₂And HC, where carbon monoxide is converted to carbon dioxide in equal amounts in air, so carbon monoxide has a carbon dioxide equivalent of 1, i.e., a GWP of 1, where HC is primarily methane, CH₄The GWP was 25, noting that the mass of gasoline produced during the test was m and the mass of carbon dioxide produced was m₁The mass of the generated carbon monoxide is m₂The mass of the produced gaseous hydrocarbon is m3, and the mass of the other solid components is m₄Therefore, the amount of carbon emissions per liter of gasoline generated during the detection process is (m)₁+m₂+25m₃) And m is marked as a, namely the carbon emission rate of the motor vehicle in the detection state.

3. The method for calculating carbon emission in fuel vehicle traffic as claimed in claim 2, wherein: the unit carbon emission rate of the motor vehicle in different driving states, namely the carbon emission produced by each liter of gasoline, is further determined based on the ratio of the carbon emission rate in different driving states of the motor vehicle to the carbon emission rate in a detected state, and the method comprises the following steps:

recording the carbon emission rate of the motor vehicle in the detection state as a, and mainly dividing the motor vehicle into two driving states of urban driving and high-speed driving, wherein the ratio of the carbon emission rate in the urban driving state to the carbon emission rate in the detection state is b_CityThen the carbon emission per unit under city driving conditions can be expressed as a · b_CitySame principle ofThe ratio of the carbon emission rate per unit in the high-speed running state to the carbon emission rate per unit in the detection state can be recorded as b_{Gao Su}The carbon emission in the high-speed running state can be expressed as a · b_{Gao Su}。

4. The method for calculating carbon emissions in fuel vehicle traffic according to claim 3, wherein: dividing according to different carbon emission grades and calculating the proportion of the carbon emission grades in all the vehicles, comprising the following steps:

the total number of the motor vehicles is recorded as Q, the motor vehicles with the same value of the unit carbon emission rate are classified into one class by taking the example that the unit carbon emission rate is calculated to be one bit behind a decimal point, namely the accuracy is 0.1, the motor vehicles with the same value of the unit carbon emission rate are counted, the occupation ratio of the motor vehicles with the unit carbon emission rate of a certain value in all the motor vehicles is recorded as W/Q and is recorded as c, and the occupation ratios of the motor vehicles with different values or carbon emission levels can be recorded as c₁、c₂、c₃……c_nAnd finally used for other data calculation.

5. The method for calculating carbon emission of fuel vehicle traffic as claimed in claim 4, wherein: accessing a gas station database of a target area, acquiring total refueling amount information data in the target area, combining the total refueling amount information data with other data, and calculating total fuel consumption data of motor vehicles with different unit carbon emission rate grades, wherein the total fuel consumption data comprises the following steps:

the method comprises the steps of accessing a gas station database through an internal program of a server end and a gas station database debit port to obtain total refueling amount data within a certain time, recording the total refueling amount within the certain time in a target area as d, and recording the total refueling amount in a unit of liter, so that the fuel consumption of motor vehicles with different carbon emission levels can be recorded as dc, namely the fuel consumption of vehicles with different numerical values or carbon emission levels is dc₁、dc₂、dc₃……dc_n。

6. The method for calculating carbon emission of fuel vehicle traffic as claimed in claim 5, wherein: accessing a highway toll station database in a target area to obtain highway driving mileage data of different motor vehicles, and further calculating the motor vehicles in different states by combining other data and a function relation between the mileage and oil consumption in the highway driving and states, wherein the method comprises the following steps:

acquiring the driving data of the motor vehicle on the highway through an internal program of a server end and a database system of the highway toll station, wherein the driving mileage of the motor vehicle is determined mainly through the motor vehicle passing through the toll station of the highway; because the running state of the motor vehicle on the expressway is mainly constant speed running at a higher speed, and the working state of the engine is almost constant, the running mileage of the motor vehicle on the expressway and the gasoline consumed by the motor vehicle are in a linear function relationship, wherein in the invention, the fuel consumption of the motor vehicle is defined as dc, the coefficient in the function is f, the high-speed running mileage is e, and the fuel consumption in the high-speed running state can be expressed as d_{Gao Su}When fe, fuel consumption in city driving state can be expressed as d_City＝dc-d_{Gao Su}Dc-fe; the high speed fuel consumption ratio of the motor vehicle of this carbon emission class is me/dc, i.e. there is a fe/dc portion in the average per liter of gasoline for high speed driving consumption, (1-fe/dc) belonging to city driving consumption.

7. The method for calculating carbon emissions in fuel vehicle traffic as claimed in claim 6, wherein: the total carbon emission of the traffic and other detailed data can be calculated by comprehensively using the data of the motor vehicle inspection station, the data of the gas station in the target area and the data of the toll station on the highway in combination with other self-experimental data, and the data comprises the following steps:

the carbon emission levels of different motor vehicles in the target area, the motor vehicle ratios in the levels and the unit carbon emission rate of urban driving state obtained by the method can be expressed as a and b_CityAnd the carbon emission rate in a high-speed running state can be expressed as a and b_{Gao Su}The city driving oil consumption in a certain time can be expressed as d_CityFuel consumption during a certain time period, which can be expressed as d_{Gao Su}The total amount of carbon emission in a certain period of time in the target region is g ═ a · b_City·d_City+a·b_{Gao Su}·d_{Gao Su}Where g is the total carbon emissions of the vehicle at a certain carbon emission level over a certain time in the target region, the total carbon emissions can be expressed as

Technical Field

The invention relates to the technical field of environmental monitoring, in particular to a method for calculating carbon emission in traffic of a fuel vehicle.

Background

With the increasing concern of global countries on climate problems and environmental pollution problems, the total amount of carbon emission is reduced, and the control and management of environmental pollution become important concerns of countries. The traffic is one of the centralized fields of urban greenhouse gas emission, and for the research on the aspect of urban traffic carbon emission, the current situation of carbon emission, the prediction research of carbon emission, the analysis of carbon reduction potential and the like are all based on the measurement and calculation of carbon emission.

In the day before, the accounting of urban traffic carbon emission is mostly estimated based on the total energy consumption and the emission coefficients of various types of energy. The method is limited by different statistical apertures of urban energy sources, and the consumption of different types of energy sources is difficult to obtain. Even if the consumption of different types of energy can be obtained, the obtained energy consumption is not accurate due to different energy statistical calibers.

During the running process of the motor vehicle, the motor vehicle can use gasoline differently along with the service life of the motor vehicle and the occurrence of traffic accidents and the like, the gasoline can be used differently under different running states, the gasoline can be fully combusted in the engine of the motor vehicle to generate carbon dioxide and water, and carbon monoxide, hydrocarbon and other gases which can generate greenhouse effect can be generated.

Therefore, the carbon emission of urban traffic calculated based on the total amount of energy consumption is inaccurate, and the current carbon emission of traffic cannot be reflected really.

Disclosure of Invention

The invention aims to provide a method for calculating carbon emission of a fuel vehicle in traffic, which can more accurately monitor carbon emission generated by different vehicles in urban traffic in different states under different environments and can be used for researching carbon emission influence factors, urban carbon emission variation curves and the like.

The embodiment of the invention provides a method for calculating carbon emission of a fuel vehicle, which is characterized by comprising the following steps of:

the method comprises the following steps: accessing a motor vehicle detection station database, acquiring composition and content data of various components in tail gas discharged by a motor vehicle in a detection state and oil consumption data in unit detection time, and calculating carbon emission amount, namely unit carbon emission rate, generated when the motor vehicle consumes 1 liter in the detection state by combining different other carbon dioxide equivalent weights;

step two: accessing a gas station database in a target detection area, acquiring gas filling data of the gas station within a certain period of time, combining the gas filling data with proportion data of motor vehicles with different emission levels acquired and sorted by a detection station, calculating the total oil consumption of the vehicles with different carbon emission levels, and further determining the unit carbon emission rate of the motor vehicles in different driving states, namely the carbon emission amount generated by each liter of gasoline, based on the ratio of the carbon emission rate of the motor vehicles in different driving states to the carbon emission rate of the motor vehicles in the detection state;

step three: and accessing to a highway toll station database, acquiring high-speed driving records of different vehicles, and calculating the total high-speed oil consumption of the different vehicles by combining the carbon emission information of the vehicles detected by the motor vehicle detection station and the mathematical relationship between the high-speed oil consumption and the driving mileage.

As a further preferred scheme, the obtaining composition and content data of different components in exhaust gas emitted by a motor vehicle in a detection state in a motor vehicle detection database and oil consumption data in unit detection time, and finally calculating a unit emission rate includes:

acquiring the total fuel quantity used by the motor vehicle in unit time, different components in generated tail gas and the content of the components in the tail gas in the detection state acquired in the motor vehicle detection process uploaded in a motor vehicle detection station through a data interface in a program compiled by a server; in which carbon dioxide and water are generated in the case of complete combustion of fuel used in the operation of an engine of a motor vehicle, and when the engine of the motor vehicle is operated and then incompletely combusted, the components of exhaust gas generated are mainly carbon monoxide, carbon dioxide, water, hydrocarbons and soot particles, among which carbon emission changes are mainly caused by various carbon-containing gases, i.e., carbon monoxide, carbon dioxide and hydrocarbons, i.e., CO₂And HC, where carbon monoxide is converted to carbon dioxide in equal amounts in air, so carbon monoxide has a carbon dioxide equivalent of 1, i.e., a GWP of 1, where HC is predominantly represented by methane, CH₄The GWP was 25, noting that the mass of gasoline produced during the test was m and the mass of carbon dioxide produced was m₁The mass of the generated carbon monoxide is m₂The mass of the produced gaseous hydrocarbon is m3, and the mass of the other solid components is m₄Therefore, the amount of carbon emissions per liter of gasoline generated during the detection process is (m)₁+m₂+25m₃) M, marked as a, i.e. the carbon emission of the motor vehicle in the detection stateThe discharge rate.

As a further preferable scheme, the unit carbon emission rate of the motor vehicle in different driving states, namely the carbon emission amount generated by each liter of gasoline, is further determined based on the ratio of the carbon emission rate in different driving states of the motor vehicle to the carbon emission rate in the detected state, and the method comprises the following steps:

recording the carbon emission rate of the motor vehicle in the detection state as a, and mainly dividing the motor vehicle into two driving states of urban driving and high-speed driving, wherein the ratio of the carbon emission rate in the urban driving state to the carbon emission rate in the detection state is b_CityThen the carbon emission per unit under city driving conditions can be expressed as a · b_CitySimilarly, the ratio of the carbon emission rate per unit area in the high-speed driving state to the carbon emission rate per unit area in the detection state can be recorded as b_{Gao Su}The carbon emission in the high-speed running state can be expressed as a · b_{Gao Su}。

As a further preferred solution, the method of dividing the vehicle into different carbon emission levels and calculating the proportion of the vehicle in all vehicles comprises the following steps:

the total number of the motor vehicles is recorded as Q, the motor vehicles with the same value of the unit carbon emission rate are classified into one class by taking the example that the unit carbon emission rate is calculated to be one bit behind a decimal point, namely the accuracy is 0.1, the motor vehicles with the same value of the unit carbon emission rate are counted, the occupation ratio of the motor vehicles with the unit carbon emission rate of a certain value in all the motor vehicles is recorded as W/Q and is recorded as c, and the occupation ratios of the motor vehicles with different values or carbon emission levels can be recorded as c₁、c₂、c₃……c_nAnd finally used for other data calculation.

As a further preferred scheme, accessing a gas station database of a target area, acquiring total fuel consumption information data in the target area, and combining the total fuel consumption information data with other data to calculate total fuel consumption data of motor vehicles with different unit carbon emission rate grades, wherein the data comprises:

accessing a gas station database through an internal program of a server and a gas station database interface to acquire total refueling amount data in a certain time, and recording the total refueling amount in a certain time in a target area as d and the unit as liter, so that different units of carbonThe emission rate, i.e. the fuel consumption of a motor vehicle with different carbon emission levels, can be designated dc, i.e. the fuel consumption of a motor vehicle with different values or carbon emission levels is dc₁、dc₂、dc₃……dc_n。

As a further preferred scheme, accessing a highway toll station database in a target area to acquire highway mileage data of different motor vehicles, and further calculating the motor vehicles in different states by combining other data and a functional relation between mileage and oil consumption in the highway driving and states, the method comprises the following steps:

the driving data of the motor vehicle on the highway is obtained through an internal program of the server and a database system of the highway toll station, wherein the driving mileage of the motor vehicle is determined mainly through the motor vehicle passing through the toll station of the highway. Because the running state of the motor vehicle on the expressway is mainly constant speed running at a higher speed, and the working state of the engine is almost constant, the running mileage of the motor vehicle on the expressway and the gasoline consumed by the motor vehicle are in a linear function relationship, wherein in the invention, the fuel consumption of the motor vehicle is defined as dc, the coefficient in the function is f, the high-speed running mileage is e, and the fuel consumption in the high-speed running state can be expressed as d_{Gao Su}When fe, fuel consumption in city driving state can be expressed as d_City＝dc-d_{Gao Su}Dc-fe; the high speed fuel consumption ratio of the motor vehicle of this carbon emission class is then fe/dc, i.e. on average there is a fe/dc fraction per litre of gasoline for high speed driving consumption, (1-fe/dc) belonging to urban driving consumption.

As a further preferred scheme, the total carbon emission of the traffic and other detailed data can be calculated by comprehensively using the data of the motor vehicle inspection station, the data of the gas station in the target area and the data of the toll station on the highway in combination with other self-experiment data, and the data comprises the following steps:

the carbon emission levels of different motor vehicles in the target area, the motor vehicle ratios in the levels and the unit carbon emission rate of urban driving state obtained by the method can be expressed as a and b_CityAnd the carbon emission rate in a high-speed running state can be expressed as a and b_{Gao Su}The city driving oil consumption within a certain period of time canIs denoted by d_CityFuel consumption during a certain time period, which can be expressed as d_{Gao Su}The total amount of carbon emission in a certain period of time in the target region is g ═ a · b_City·d_City+a·b_{Gao Su}·d_{Gao Su}Where g is the total carbon emissions of the vehicle at a certain carbon emission level over a certain time in the target region, the total carbon emissions can be expressed as

Compared with the prior art, the embodiment of the invention has the advantages that the current traffic carbon emission calculation mode is more converted directly through the use of fuel oil or the driving mileage of vehicles, but in actual operation, different vehicles can generate different carbon emission amounts in different driving states, even vehicles of the same brand, the invention further analyzes the carbon emission amount generated by consumption of one liter of gasoline of different vehicles in the detection state, namely the unit carbon emission rate, by acquiring the gasoline consumption, the tail gas emission amount, the composition of different components in the tail gas emission and the ratio of different components in the tail gas emission in the motor vehicle detection state of a motor vehicle detection station and combining the carbon dioxide equivalent of different greenhouse gases, further summarizes the driving state of the motor vehicle into the urban driving state and the high-speed driving state, and calculates the ratio of the unit carbon emission amount to the unit carbon emission rate in the detection state without calculating the carbon emission amount And calculating the occupation ratio of the vehicles with different carbon unit emission rate values in all the detection vehicles according to the carbon unit emission rate in the same driving state, and then calculating the total gasoline consumption and the gasoline consumption of the motor vehicles with different carbon unit emission rates by acquiring the gas station information of the target area. Furthermore, in order to realize more accurate calculation, the invention calculates the average urban running gasoline usage amount and the high-speed running gasoline usage amount of the motor vehicle with a certain unit carbon emission rate, because the oil consumption of the motor vehicle in a high-speed running state is relatively stable, so that a certain linear function relationship exists between the oil consumption and the running mileage relatively in the high-speed running state, the high-speed oil consumption of the motor vehicle with a certain unit carbon emission rate grade can be reversely calculated according to the linear function relationship and the running mileage, then the urban running oil consumption is calculated by combining the total oil consumption of the motor vehicle with the unit carbon emission rate, then the total carbon emission of the motor vehicle with the unit carbon emission rate in the unit running carbon emission rate grade within the target time is calculated by combining the unit carbon emission rate in the urban running state and the unit carbon emission rate in the high-speed running state, and finally the carbon emission of the motor vehicles with different unit carbon emission rate grades can be summed to obtain more detailed and accurate fuel oil consumption Carbon emission information.

Drawings

Fig. 1 is a schematic diagram of a software system architecture of a method for calculating carbon emissions in a fuel vehicle according to an embodiment of the present invention.

Detailed Description

In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.

In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known system devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

It should be understood that the term "comprises/comprising" when used in this specification and the appended claims is taken to specify the presence of stated features, integers, step operations, elements, and/or components, but does not preclude the presence or addition of one or more other features, integers, steps, elements, components, and/or groups thereof.

It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

Urban traffic mainly consists of road traffic, and some cities also include rail traffic, water traffic, air traffic and railway traffic. The method mainly aims at explaining the carbon emission calculation mode of the motor vehicle of the fuel vehicle in daily travel of residents in a target area, so that water transportation, air transportation and railway transportation are not brought into research for the time.

In addition, at present, top-down or bottom-up methods are mostly adopted for calculating the carbon emission of urban traffic. The top-down method is based on the total energy consumption in the traffic system and the emission coefficients of various types of energy. The method is limited by different statistical apertures of urban energy sources, and the consumption of different types of energy sources is difficult to obtain. Even if the consumption of different types of energy can be obtained, the obtained energy consumption is not accurate due to different energy statistical calibers.

The existing method is based on the energy activity calculation of various vehicles from bottom to top, and the carbon emission is calculated according to the activity intensity and the unit energy consumption of the vehicles. In the method, the existing calculation method is difficult in boundary calculation and acquisition of the activity data source, so that the method is complex and is not beneficial to real-time measurement and calculation of carbon emission of urban traffic.

Based on the defects of the method, the method for calculating the carbon emission of the fuel vehicle can accurately, easily and conveniently calculate the carbon emission of the urban traffic.

Fig. 1 is a schematic view of an application scenario of a method for calculating carbon emissions in transportation of a fuel vehicle according to an embodiment of the present invention, where the method for calculating carbon emissions in transportation of a fuel vehicle can be used for calculating carbon emissions in transportation of the fuel vehicle. The calculation method related in the invention can realize the automatic measurement and calculation of the fuel vehicle traffic carbon emission data in a certain time in the target area only by using a software application program edited by the server to realize the access of the existing motor vehicle detection station database, the target area gas station database and the expressway toll station database, acquire the information reading authority and combine with a program algorithm.

The method for calculating the carbon emission of the fuel vehicle in traffic according to the embodiment of the invention is described in detail with reference to fig. 1.

Fig. 1 shows a schematic flow chart of a method for calculating carbon emission in fuel vehicle traffic provided by the invention, and the method is detailed as follows with reference to the following steps:

firstly, accessing a motor vehicle detection station database interface through software of a server side, and accessing a motor vehicle detection station database.

And secondly, accessing a motor vehicle detection station database, acquiring and storing tail gas emission information under the motor vehicle detection state, and using the tail gas emission information for the next data calculation.

And thirdly, calculating the unit carbon emission rate of different motor vehicles in the detection state by combining the equivalent weight of carbon dioxide of different greenhouse gases, namely the carbon emission amount generated when the motor vehicles consume one liter of gasoline in the detection state.

And fourthly, calculating the unit carbon emission rate of different motor vehicles in the high-speed state and the urban driving state by combining the ratio of the unit carbon emission rate in the urban driving state to the unit carbon emission rate in the detection state and the ratio of the unit carbon emission rate in the high-speed driving state to the unit carbon emission rate in the detection state.

And fifthly, classifying the vehicles according to the calculated unit carbon emission rates of the different vehicles, and calculating the number ratio of the vehicles in the level in all the vehicles.

And sixthly, accessing the database of the gas station to acquire the refueling information of the gas station within a certain time. And calculating the total gasoline consumption of the motor vehicles with different levels of carbon emission rates in a certain time.

And seventhly, calculating the oil consumption of the motor vehicle with the unit carbon emission rate grade in the high-speed driving state according to the linear relation between the mileage and the oil consumption in the high-speed driving state, and further calculating the oil consumption in the city driving state.

And eighthly, calculating the carbon emission of the motor vehicles with different carbon emission rate grades according to the calculation data in the previous step.

And ninthly, calculating total carbon emission data within a certain time in the target area according to the data obtained by calculation.

In the embodiment, the sum of the carbon emission of the ground surface traffic and the carbon emission of the underground traffic is calculated, the sum of the carbon emission of the ground surface traffic and the carbon emission of the underground traffic is used as the carbon emission of the traffic of the area to be monitored, and the comprehensive carbon emission information of the ground surface traffic and the comprehensive carbon emission information of the underground traffic are combined to generate the comprehensive carbon emission information of the traffic.

In the embodiment of the invention, the carbon emission generated by gasoline consumption of each liter of different vehicles in the detection state is further analyzed by acquiring the gasoline consumption, the exhaust emission, the composition of different components in the exhaust emission and the ratio of different components in the exhaust emission in the motor vehicle detection state of a motor vehicle detection station and combining the carbon dioxide equivalent of different greenhouse gases, namely the unit carbon emission rate, further generalizes the driving state of the motor vehicle into a city driving state and a high-speed driving state, and the specific value of the unit carbon emission rate under different driving states and the unit carbon emission rate under the detection state is combined to calculate the unit carbon emission rate under different driving states, and the occupation ratio of the vehicles with different unit carbon emission rate values in all the detection vehicles is calculated, then, by acquiring the gas station information of the target area, the total gasoline consumption and the gasoline consumption of the motor vehicles with different unit carbon emission rates are calculated. Furthermore, in order to realize more accurate calculation, the invention calculates the average urban running gasoline usage amount and the high-speed running gasoline usage amount of the motor vehicle with a certain unit carbon emission rate, because the oil consumption of the motor vehicle in a high-speed running state is relatively stable, so that a certain linear function relationship exists between the oil consumption and the running mileage relatively in the high-speed running state, the high-speed oil consumption of the motor vehicle with a certain unit carbon emission rate grade can be reversely calculated according to the linear function relationship and the running mileage, then the urban running oil consumption is calculated by combining the total oil consumption of the motor vehicle with the unit carbon emission rate, then the total carbon emission of the motor vehicle with the unit carbon emission rate in the unit running carbon emission rate grade within the target time is calculated by combining the unit carbon emission rate in the urban running state and the unit carbon emission rate in the high-speed running state, and finally the carbon emission of the motor vehicles with different unit carbon emission rate grades can be summed to obtain more detailed and accurate fuel oil consumption Carbon emission information.

Corresponding to the method for calculating the carbon emission of the fuel vehicle in the foregoing embodiment, fig. 1 shows a block diagram of a device for monitoring the carbon emission of the fuel vehicle in the embodiment of the present invention, and for convenience of description, only the parts related to the embodiment of the present invention are shown.

It should be noted that, for the information interaction, execution process and other contents between the above-mentioned devices/units, the specific functions and technical effects thereof are based on the same concept as those of the method embodiment of the present invention, and thus reference may be made to the method embodiment section for details, which are not described herein again.

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

Illustratively, a computer program may be partitioned into one or more modules/units, which are stored in a memory and executed by a processor to implement the present invention. The one or more modules/units may be a series of computer program segments capable of performing certain functions, which are used to describe the execution of the computer program in the terminal device.

It will be appreciated by those skilled in the art that the invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The embodiments disclosed above are therefore to be considered in all respects as illustrative and not restrictive. All changes which come within the scope of or equivalence to the invention are intended to be embraced therein.