CN111680936B - Traffic carbon emission monitoring method and device and terminal equipment - Google Patents

Traffic carbon emission monitoring method and device and terminal equipment Download PDF

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CN111680936B
CN111680936B CN202010805097.9A CN202010805097A CN111680936B CN 111680936 B CN111680936 B CN 111680936B CN 202010805097 A CN202010805097 A CN 202010805097A CN 111680936 B CN111680936 B CN 111680936B
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CN111680936A (en
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张晓春
段仲渊
丘建栋
黄玉婷
屈新明
罗钧韶
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Shenzhen Urban Transport Planning Center Co Ltd
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Abstract

The application is suitable for the technical field of environmental monitoring, and provides a method, a device and a terminal device for monitoring carbon emission of traffic, wherein the method comprises the following steps: acquiring vehicle information of vehicles running on road traffic in an area to be monitored, and acquiring a first traffic carbon emission amount on the road traffic based on the vehicle information and a first emission coefficient corresponding to the vehicle information; acquiring driving information of vehicles in a passenger transport junction station in an area to be monitored, and acquiring second transportation carbon emission of the passenger transport junction station based on the driving information and a second emission coefficient corresponding to the driving information; obtaining the carbon emission of the traffic of the area to be monitored based on the carbon emission of the first traffic and the carbon emission of the second traffic; the carbon emission of the road traffic is determined based on the vehicle information of the vehicle, the carbon emission of the road traffic can be obtained more accurately, the carbon emission of the passenger transport hub station is increased, and the carbon emission of the city traffic can be reflected more comprehensively and more accurately.

Description

Traffic carbon emission monitoring method and device and terminal equipment
Technical Field
The application belongs to the technical field of environmental monitoring, and particularly relates to a method and a device for monitoring carbon emission of traffic and terminal equipment.
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.
At present, the carbon emission of urban traffic is mostly calculated 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. Therefore, the carbon emission of urban traffic calculated based on the total energy consumption is inaccurate, and the carbon emission of urban traffic cannot be truly reflected.
Disclosure of Invention
The embodiment of the application provides a method and a device for monitoring carbon emission of traffic, and terminal equipment, and can solve the problem of inaccurate calculation of carbon emission of urban traffic.
In a first aspect, an embodiment of the present application provides a method for monitoring carbon emissions in traffic, including:
acquiring vehicle information of vehicles running on road traffic in an area to be monitored, and acquiring a first traffic carbon emission amount on the road traffic based on the vehicle information and a first emission coefficient corresponding to the vehicle information;
acquiring driving information of vehicles in a passenger transport junction station in an area to be monitored, and acquiring a second transportation carbon emission amount of the passenger transport junction station based on the driving information and a second emission coefficient corresponding to the driving information;
and obtaining the traffic carbon emission of the area to be monitored based on the first traffic carbon emission and the second traffic carbon emission.
In a second aspect, an embodiment of the present application provides a device for monitoring carbon emissions in traffic, including:
the carbon emission calculation module of the road traffic is used for acquiring vehicle information on the road traffic in an area to be monitored, and acquiring a first traffic carbon emission on the road traffic based on the vehicle information and a first emission coefficient;
the carbon emission calculation module of the passenger transport terminal is used for acquiring the driving information of vehicles in the passenger transport terminal in the area to be monitored, and acquiring the second transportation carbon emission of the passenger transport terminal based on the driving information and a second emission coefficient;
and the carbon emission calculation module of the area to be monitored is used for obtaining the carbon emission of the traffic of the area to be monitored based on the first carbon emission of the traffic and the second carbon emission of the traffic.
In a third aspect, an embodiment of the present application provides a terminal device, including: a memory, a processor and a computer program stored in the memory and operable on the processor, wherein the processor implements the method for monitoring carbon emissions from traffic according to any of the first aspect when executing the computer program.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where a computer program is stored, and the computer program is configured to, when executed by a processor, implement the method for monitoring carbon emissions in traffic according to any one of the first aspect.
In a fifth aspect, the present application provides a computer program product, which when run on a terminal device, causes the terminal device to execute the method for monitoring carbon emissions in traffic according to any one of the first aspect.
It is understood that the beneficial effects of the second aspect to the fifth aspect can be referred to the related description of the first aspect, and are not described herein again.
Compared with the prior art, the embodiment of the application has the advantages that: the method comprises the steps of obtaining vehicle information of vehicles running on road traffic, obtaining first traffic carbon emission in the road traffic based on the vehicle information and a first emission coefficient corresponding to the vehicle information, obtaining second traffic carbon emission of a passenger transport junction station in a region to be monitored based on the running information of the vehicles in the passenger transport junction station and a second emission coefficient corresponding to the running information, and finally obtaining the traffic carbon emission of the region to be monitored through the first traffic carbon emission and the second traffic carbon emission; the carbon emission of the road traffic is determined based on the vehicle information of the vehicle, the carbon emission of the road traffic can be obtained more accurately, the carbon emission of the passenger transport hub station is increased, and the carbon emission of the city traffic can be reflected more comprehensively and more accurately.
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In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic view of an application scenario of a method for monitoring carbon emissions in traffic according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of a method for monitoring carbon emissions in traffic according to an embodiment of the present disclosure;
FIG. 3 is a schematic flow chart of a method for monitoring carbon emissions from traffic according to another embodiment of the present disclosure;
FIG. 4 is a schematic structural diagram of a device for monitoring carbon emissions in traffic according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of a terminal device according to an embodiment of the present application.
Detailed Description
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 present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, 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. However, most of the current statistics on carbon emission of urban traffic is only to count the carbon emission of road traffic, so the obtained carbon emission of urban traffic is not accurate.
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 method is based on the calculation method of energy activities 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. The method is difficult to account for the boundary and difficult to obtain 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 monitoring method for the carbon emission of the traffic can accurately calculate the carbon emission of the urban traffic in real time.
Fig. 1 is a schematic view of an application scenario of the method for monitoring carbon emissions in traffic according to an embodiment of the present application, where the method for monitoring carbon emissions in traffic can be used for calculating the carbon emissions in traffic. The storage device 10 stores city traffic information, and the terminal device 20 is configured to obtain the city traffic information from the storage device 10, classify the traffic information, and perform data processing on the traffic information to obtain the carbon emission of traffic.
The method for monitoring carbon emissions in traffic according to the embodiment of the present application is described in detail below with reference to fig. 1.
Fig. 2 shows a schematic flow chart of a method for monitoring carbon emissions in traffic provided by the present application, and with reference to fig. 2, the method is described in detail as follows:
s101, vehicle information of vehicles running on road traffic in an area to be monitored is obtained, and a first traffic carbon emission amount on the road traffic is obtained based on the vehicle information and a first emission coefficient corresponding to the vehicle information.
In this embodiment, the area to be monitored may be a city, or may be some areas in a city. Road traffic refers to roads within a city and may include highways, expressways and ordinary streets in the city.
In the present embodiment, if the vehicle in the road is stationary, carbon pollution is not generated, and the amount of carbon emission is not calculated, and therefore, the vehicle in road traffic in the present application specifically refers to a vehicle in driving. The traveling vehicles may include cars, coaches, electric vehicles, buses, and the like.
The vehicle information of the traveling vehicles may include the total number of vehicles, the kinds of vehicles, the traveling speed and the traveling time of each vehicle in road traffic, and the like. The vehicle category may include a large car and a small car. Electric vehicles, and the like.
In the present embodiment, the emission coefficient is a value representing a generation ratio of an air pollutant at a certain activity, which is calculated from a ratio of a pollutant generation amount to the activity. The first emission coefficient refers to carbon emission of a certain vehicle in road traffic during driving, and is related to the type of the vehicle, a road section where the vehicle is located and the driving speed of the vehicle, and the driving speed of a general vehicle mostly refers to the average speed of the vehicle on the road section. The first discharge coefficient can be obtained from a server, the information of the type, the running speed and the located road section of the running vehicle is sent to the server, and the server automatically searches the corresponding first discharge coefficient.
Specifically, the implementation process of acquiring the vehicle information of the vehicle running on the road traffic in the area to be monitored in step S101 may include:
the method comprises the steps of obtaining videos and/or images collected by a camera device on a road of an area to be monitored, and determining vehicle information of vehicles running in each road section on the road based on the videos and/or images, wherein the vehicle information comprises the total number of the vehicles and the types of the vehicles. And acquiring the running speed of the vehicle acquired by a speed measuring device on the road of the area to be monitored.
In this embodiment, the speed intervals allowed for the vehicle to travel on the road traffic of the area to be monitored may be different, and may be divided into different road segments according to the speed intervals allowed for the vehicle to travel, or may be divided into different road segments according to the position of the road traffic, for example, the road traffic is divided into an intra-city road, an expressway, and the like.
After the video and/or the image acquired by the camera device are acquired, firstly, image processing is carried out, and finally, the types of vehicles in the video or the image and the number of the vehicles can be obtained through an image recognition technology, wherein the image processing comprises denoising processing, image segmentation processing and the like.
Optionally, after the video and/or the image acquired by the camera device are/is acquired, the image is input into the machine learning model, and the vehicle in the image is classified through the machine learning model to obtain the classification of the vehicle and the number of the vehicles.
The running time of the vehicle in the road traffic can be determined by the time of capturing the image frames in the video or the images, for example, the time when the first frame image is captured is 8 points and 20 minutes, the vehicle a exists in the video, the time when the second frame image is captured is 8 points and 25 minutes, the vehicle a also exists in the video, and the running time of the vehicle a on the road is 5 minutes.
S102, obtaining the driving information of vehicles in the passenger transport terminal station in the area to be monitored, and obtaining the second transportation carbon emission of the passenger transport terminal station based on the driving information and a second emission coefficient corresponding to the driving information.
In the present embodiment, the passenger terminal may include a long-distance bus stop, a short-distance bus stop, and the like. Since buses or coaches and the like not only travel in road traffic but also travel for a certain distance in a passenger terminal after entering the passenger terminal, the carbon emission of the urban traffic needs to be calculated when the vehicles travel in the passenger terminal.
In the embodiment, due to the special layout in the passenger terminal, the speed of the vehicles traveling in the passenger terminal is different, and the passenger terminal can be divided into different traveling areas according to the layout of the passenger terminal. For example, the passenger terminal may be divided into four driving areas, from the parking lot to the departure place, from the departure place to the departure exit, from the entrance to the next destination, and from the next destination to the parking lot, according to the function of each area in the passenger terminal, and the four driving areas constitute one driving cycle of the vehicle driving in the passenger terminal.
The driving area can be divided according to the map information by acquiring the map information of the passenger transport junction station.
The driving information comprises the average speed of various vehicles in the passenger terminal station in each driving area and the driving time in each driving area. The types of vehicles may include double-deck buses, single-deck buses, and the like.
The second emission coefficient is related to the type of vehicle and the speed of the vehicle. The speed of the vehicle generally refers to the average speed of the vehicle in the driving area. The second emission coefficient can be obtained from the server, the type of the vehicles in the passenger terminal station and the speed of the vehicles are sent to the server, and the server automatically searches the corresponding second emission coefficient.
Specifically, the implementation process of acquiring the driving information of the vehicle in the passenger terminal in the area to be monitored in step S102 may include:
acquiring the number of vehicles entering the station or the number of vehicles leaving the station of the passenger transport hub station, and recording the number of vehicles entering the station or the number of vehicles leaving the station as traffic flow; and acquiring the driving information of various vehicles in the passenger transport junction station, wherein the driving information comprises the average driving speed of various vehicles in the passenger transport junction station in each driving area and the driving time of various vehicles in each driving area.
In this embodiment, the number of vehicles entering the station is obtained by acquiring a video or an image captured by a camera device disposed at the entrance, processing the video or the image, and finally identifying the number of vehicles entering the station. The number of vehicles leaving the station is that the number of vehicles leaving the station is identified by acquiring videos or images collected by a camera device arranged at a leaving port, processing the videos or images and finally identifying the number of vehicles leaving the station.
In this embodiment, the driving information of various vehicles in the passenger terminal can be obtained from the database. The average speed of each type of vehicle in each driving area and the driving time in each driving area are obtained based on the driving data of the historical vehicles in the passenger terminal. Because the types of vehicles in the passenger terminal station are single and few, and the difference between the running speed and the running time of the similar vehicles in each running area of the passenger terminal station is not large, the average speed of the various vehicles running in each running area and the running time of the various vehicles in each running area can be calculated according to the running data of the historical vehicles. The historical vehicle driving data can be used for tracking the vehicles in the passenger terminal by using the testing equipment to obtain the driving speed and the driving time of the vehicles. The test equipment can be a speed measuring device and a camera device.
Specifically, the average speed of the history vehicle in each traveling region can be obtained by the traveling speed and the traveling time of the history vehicle in the traveling data of the history vehicle. In addition, the average speed of a plurality of historical vehicles in the same driving area can be calculated based on the average speed of each historical vehicle in each driving area, and the average speed of the plurality of historical vehicles in the same driving area is used as the average speed of the vehicles in the driving area for later calculation of the carbon emission of the transportation of the passenger terminal.
The travel time in each travel area may be an average of travel times of a plurality of history vehicles in the travel area.
S103, obtaining the carbon emission of the traffic in the area to be monitored based on the first carbon emission of the traffic and the second carbon emission of the traffic.
In the present embodiment, the sum of the first traffic carbon emission and the second traffic carbon emission is calculated, and the sum of the first traffic carbon emission and the second traffic carbon emission is taken as the traffic carbon emission of the area to be monitored.
In the embodiment of the application, vehicle information of vehicles running on road traffic is obtained, first traffic carbon emission in the road traffic is obtained on the basis of the vehicle information and a first emission coefficient corresponding to the vehicle information, second traffic carbon emission of a passenger transport junction station in an area to be monitored is obtained on the basis of the running information of the vehicles in the passenger transport junction station and a second emission coefficient corresponding to the running information, and finally the traffic carbon emission of the area to be monitored is obtained through the first traffic carbon emission and the second traffic carbon emission; the carbon emission of the road traffic is determined based on the vehicle information of the vehicle, the carbon emission of the road traffic can be obtained more accurately, the carbon emission of the passenger transport hub station is increased, and the carbon emission of the city traffic can be reflected more comprehensively and more accurately.
In one possible implementation manner, the implementation process of the first traffic carbon emission amount on the road traffic in step S101 may include:
s1011, based on the formula
Figure 526267DEST_PATH_IMAGE001
And calculating the carbon emission of each road section in the road traffic, wherein,E p is the carbon emission amount of the p-th road segment,VKT p the total distance traveled by all vehicles on the p-th road section within the first preset time (natural kilometers),
Figure 847527DEST_PATH_IMAGE002
for the proportion of the qth class of vehicles in the pth road segment to the total number of vehicles in the pth road segment,EF 1 a first discharge coefficient which is the carbon emission of a qth vehicle traveling a unit distance on a pth road segment, s is the number of types of vehicles on the pth road segment,
Figure 70698DEST_PATH_IMAGE003
the sum of the carbon emission of s vehicles in the p-th road section is shown, p is more than or equal to 1, and q is more than or equal to 1 and less than or equal to s;
in the embodiment, since the carbon emission amount of each type of vehicle in different road sections is different, the carbon emission amount of each type of vehicle in each road section needs to be calculated first; the carbon emissions of all kinds of vehicles in each link, that is, the carbon emissions of each link, are then calculated.
The first preset time may be set as desired, and is typically 1 hour. And if the distance traveled by the vehicle in the first preset time is greater than the length of the road section where the vehicle is located, taking the length of the road section where the vehicle is located as the distance traveled by the vehicle in the first preset time. The unit distance may be 1 km, and may be set as needed.
The first emission factor is also related to an average speed of the vehicle traveling on the road segment, and the average speed of the vehicle may be determined according to a traveling time and a traveling distance of the vehicle on the road segment.
The driving time and the driving distance of each vehicle in the p-th road section can be obtained according to the driving distance of the vehicle in the first preset time, and the average speed of each vehicle in the road section is calculated; and finally, calculating the driving distance of the vehicle in the first preset time based on the average speed of each vehicle in the road section.
And S1012, calculating the sum of the carbon emission of all the road sections in the area to be monitored, and taking the sum of the carbon emission of all the road sections as the first traffic carbon emission on the road traffic.
In the present embodiment, since a plurality of links may be included in the area to be monitored, the sum of the carbon emissions of all the links needs to be calculated to obtain the first traffic carbon emission on road traffic.
In the embodiment of the application, the carbon emission of vehicles on each road section is calculated by segmenting the road traffic, and finally the carbon emission of the road network of the area to be monitored is calculated based on the carbon emission on each road section. And the carbon emission of the vehicles on each road section is calculated based on the types of the vehicles, and the carbon emission of different types of vehicles is calculated, so that the calculated first traffic carbon emission on the road traffic is more accurate.
In one possible implementation manner, the implementation process of the second transportation carbon emission of the passenger transportation terminal in step S102 may include:
s1021, based on the formula
Figure 666764DEST_PATH_IMAGE004
Calculating the carbon emission of various vehicles when the vehicles run in the passenger transport terminal station,E g is the discharge coefficient of the class g vehicles when the vehicles run in the passenger transport hub station, e is more than or equal to 1 and less than or equal to f, f is the number of running areas,EF e,g a second emission coefficient which is the carbon emission of a g-th vehicle traveling a unit distance in the e-th traveling region,V e,g is an average speed of the g-th type vehicle when traveling in the e-th traveling zone,T e,g for the travel time of the g-th type vehicle traveling in the e-th travel region,V g the traffic flow of the class g vehicles in the passenger terminal station.
In this embodiment, since the carbon emissions of various vehicles traveling in the passenger terminal are different, the carbon emissions of various vehicles traveling in the passenger terminal need to be calculated first.
The method for calculating the carbon emission when various vehicles run in the passenger transport hub station comprises the following steps: the product of the carbon emissions of a single vehicle when driving in a passenger terminal and the total number of vehicles of that type.
The average speed and the travel time of the class g vehicle traveling in the e-th travel area are obtained in advance based on historical data of the operation of the historical vehicle in the passenger terminal.
And S1022, calculating the sum of the carbon emission of all types of vehicles in the passenger terminal, and taking the sum of the carbon emission of all types of vehicles in the passenger terminal as the second transportation carbon emission of the passenger terminal.
In this embodiment, the carbon emission of various vehicles running in the passenger terminal is calculated, and to obtain the carbon emission of all vehicles in the passenger terminal, the sum of the carbon emissions of various vehicles running in the passenger terminal needs to be calculated, and the sum of the carbon emissions of various vehicles running in the passenger terminal is taken as the second transportation carbon emission of the passenger terminal.
In the embodiment of the application, the carbon emission of various vehicles in each driving area is calculated by dividing the passenger terminal station into different driving areas; and finally, calculating the carbon emission of all vehicles in the passenger transport terminal station based on the carbon emission of various vehicles in each driving area, and accurately obtaining the second transportation carbon emission of the passenger transport terminal station.
In one possible implementation, when the area to be monitored includes one or more of air traffic, water traffic, rail traffic and railway traffic, the carbon emission of the area to be monitored should further include one or more of a third carbon emission of air traffic at an airport, a fourth carbon emission of water traffic, a fifth carbon emission of rail traffic and a sixth carbon emission of railway traffic.
As shown in fig. 3, specifically, the method for monitoring carbon emissions in traffic may further include:
s201, acquiring flight information of an airplane in an airport in the area to be monitored, and acquiring a third traffic carbon emission amount of the airport in air traffic based on the flight information and a third emission coefficient corresponding to the flight information.
In this embodiment, the flight information includes the type of the airplane and the cycle number of each type of airplane, and an airplane in the airport takes off and a airplane of the same type lands as a cycle.
Flight information may be obtained via an aircraft flight schedule at the airport.
The third emission coefficient is related to the type of aircraft and the engine type of the aircraft, the emission coefficients of different types of aircraft being different, and the emission coefficients of different types of aircraft having the same type of engine type being different. The third emission coefficient may be obtained from an engine emission database.
S202, acquiring ship information of a ship running in waterway traffic of an area to be monitored, and acquiring a fourth traffic carbon emission amount of the waterway traffic based on the ship information and a fourth emission coefficient corresponding to the ship information.
In this embodiment, the ship can be classified into an inland ship, a coastal ship, an ocean vessel and the like according to the range of motion, and can be classified into a cargo ship, a tug boat, a container ship, a cruise ship, a passenger ship, a fishing ship and the like according to the transportation function.
The engines of different kinds of vessels differ and thus there may be differences in engine power for different vessels.
The ship information comprises the type of the ship, the running condition of the ship in the area to be monitored and the running time of the ship under each running condition. The vessel information may be obtained from an Automatic Identification System-AIS (Automatic Identification System) for vessels.
In addition, the type of the ship can be obtained according to data stored in a port, and can also be obtained according to a camera device in a set navigation area, video or image data is collected through the camera device, and the type of the ship is obtained through analyzing the video or the image.
The running condition of the ship can be determined according to the running speed of the ship, and the running speed of the ship can be obtained from data stored in the ship or a speed measuring device arranged in the ship. Specifically, the driving conditions of the ship may be set to the classifications in table 1 below.
TABLE 1 classification of driving conditions of ships
Running condition Description of the features Speed of travel (haili/h)
Ordinary speed running Ships running in open sea water areas or wide navigation channels >12
At a slow speed The ship enters the inner seawater area to decelerate to meet the requirement of speed limit 8~12
Driving on land Low speed driving state of ship when approaching berth wharf or anchoring zone 1~8
Auxiliary mooring Berthing conditions in which the vessel shuts down the main engine during berthing, using the auxiliary engine <1
The fourth emission coefficient is related to the kind of the ship, the engine type of the ship, and the like. The fourth emission coefficient may be determined based on the type of the ship, the speed of the ship, etc., provided by an Automatic Identification System-AIS (Automatic Identification System-AIS) of the ship.
S203, acquiring running information of vehicles in the rail transit in the area to be monitored, and acquiring a fifth traffic carbon emission amount of the rail transit based on the running information and a fifth emission coefficient corresponding to the running information.
In the embodiment, the rail transit has no direct carbon emission or pollution emission, and the rail transit carbon emission accounting method accounts for the equivalent carbon emission according to the running energy consumption. The vehicle in rail transit includes: subway and/or tram.
The operation information includes the length of the travel route of the vehicle in the rail transit and the total number of shifts of each travel route operated in a preset period. The operation information can be obtained from a command center of rail transit. The running information can also be obtained from a camera device installed on the rail transit. The method comprises the steps of collecting videos or images of vehicles in rail transit through a camera device, and analyzing the videos or images to obtain operation information.
S204, obtaining train number information of the operation train number on the railway traffic in the area to be monitored, and obtaining the sixth traffic carbon emission amount of the railway traffic based on the train number information and a sixth emission coefficient corresponding to the train number information.
In this embodiment, the railway traffic includes trains, railcars, and high-speed railways. The train number information includes a travel length of an operation train number and an operation number of the operation train number. The operational information may also be obtained from a camera device installed on the railway traffic. The video or the image of the vehicle in the railway traffic is collected through the camera device, and the train number information is obtained through analyzing the video or the image.
In one possible implementation manner, the implementation process of step S201 may include:
and S2011, acquiring flight information of the airplane in the airport in the area to be monitored, wherein the flight information comprises the type of the airplane and the cycle times of various airplanes, and taking off one airplane in the airport and taking the airplane with the same type as one cycle when landing.
S2012, based on the formula
Figure 658991DEST_PATH_IMAGE005
Calculating a third traffic carbon emission of the air traffic, wherein,E 3 in order to achieve the carbon emission for the third traffic,EF rt the carbon emissions in one cycle of an aircraft that is a class t engine in a class r aircraft,LTO rt cycle number for an aircraft that is a class t engine in a class r aircraft.
In the present embodiment, it is preferred that,EF rt is the third emission coefficient. The third emission coefficient is also related to the operating state and operating time of the aircraft.
In a possible implementation manner, the implementation procedure of step S202 may include:
s2021, ship information of a ship running in waterway traffic of the area to be monitored is obtained, wherein the ship information comprises the type of the ship, the running condition of the ship in the area to be monitored and the running time of the ship under each running condition.
S2022, based on the formula
Figure 682310DEST_PATH_IMAGE006
Calculating the carbon emission of various ships, wherein i is more than or equal to 1, j is more than or equal to 1, k is more than or equal to 1, n is the total number of engine grades, m is the type of running working condition,E i is the carbon emission of the i-th ship,P i,j,k for the engine power of the vessel in the jth engine class in the ith vessel in the kth driving mode,EF i,j,k the emission coefficient of a ship of a jth engine class in an ith ship under a kth running condition,LF i,j,k the load factor of the ship of the jth engine class in the ith ship under the kth running condition,T i,j,k for the travel time of a vessel in the jth engine class in an ith vessel in a kth driving regime,H i is the total number of i-th ships.
In this embodiment, the load factor reflects the percentage of the rated power of the power plant output power of the ship at different sailing speeds. The calculation method of the load factor comprises the following steps: and calculating the ratio of the actual running speed of the ship to the maximum sailing speed, and taking the 3-time power of the ratio of the actual running speed of the ship to the maximum sailing speed as a load coefficient.EF i,j,k And the fourth emission coefficient is the carbon emission per unit work of the engine of the j engine class ship in the i ship under the k driving condition.
And S2023, calculating the sum of the carbon emission of various ships in the area to be monitored, and taking the sum of the carbon emission of various ships as the fourth traffic carbon emission of the waterway traffic.
In this embodiment, to calculate the carbon emission of the fourth transportation in waterway traffic, that is, the carbon emission of all ships in waterway traffic, the carbon emissions of all ships need to be summed.
In a possible implementation manner, the implementation process of step S203 may include:
s2031, obtaining running information of vehicles in rail transit in an area to be monitored, wherein the running information comprises the length of running lines of the vehicles in the rail transit and the total number of shifts of each running line running in a preset period.
S2032 based on the formula
Figure 392778DEST_PATH_IMAGE007
And calculating the fifth traffic carbon emission of the rail transit in the area to be monitored, wherein,E 5 a is equal to or more than 1 for the carbon emission of the fifth traffic, b is the total number of the running routes in the rail traffic,l a for the length of the a-th travel route,f a for the total shift of the a-th driving route running within the preset period,Fand the energy consumption factor (energy consumption factor of kilometers of the vehicle) corresponds to the running line in the rail transit.
In this embodiment, the travel route may be a route having two stations as starting points. The length of the travel route can be obtained from urban traffic construction data. But also from the camera devices provided in rail traffic. Specifically, a video or an image collected by a camera device installed in the rail transit is acquired, a vehicle in the video or the image is identified, the position of the collected video or image is determined based on map information, and then the length of a driving route is determined.
FIs the fifth emission coefficient, i.e., the carbon emissions for one kilometer of vehicle operation. The preset period may be one day, one hour, one week, etc., and may be set as needed.
In the present embodiment, since the types of vehicles in the same travel route are the same, the carbon emissions of all the vehicles in each travel route are calculated separately; then, the carbon emissions of all the types of routes, that is, all the vehicles in the rail transit, are calculated based on the carbon emissions of all the vehicles in each of the travel routes.
In a possible implementation manner, the implementation procedure of step S204 may include:
s2041, obtaining train number information of an operation train number on railway traffic in an area to be monitored, wherein the train number information comprises the running length of the operation train number and the operation times of the operation train number;
s2042, based on the formula
Figure 261376DEST_PATH_IMAGE008
And calculating the sixth traffic carbon emission of the railway traffic in the area to be monitored, wherein,E 6 c is more than or equal to 1 for the carbon emission of the sixth traffic, d is the type of the operation train number in the area to be monitored,l c for the travel length of class c operating train numbers,f c the operation times of the class c operation train number,F c energy consumption factor (kilometer car energy consumption factor) for railway traffic of class c operating train numbers;
in the present embodiment, it is preferred that,F c is the sixth emission factor, i.e., the carbon emissions for one kilometer of vehicle operation. Different types of train numbers of railway traffic correspond to different energy consumption factors. The running length of the class c operation train number is actually the running length of the class c operation train number in the area to be monitored. The running length of the class c operation train number in the area to be monitored can be obtained by inquiring the railway center and can also be obtained by a camera device arranged on the railway traffic. And acquiring videos or images acquired by a camera device on the railway traffic, and identifying the videos or images to obtain the running time of the vehicle. And identifying the video or the image, obtaining the position of the running train number based on the map information, and further determining the running length of the vehicle.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
Fig. 4 shows a block diagram of a device for monitoring carbon emissions in traffic, which is provided in the embodiment of the present application, and only shows the relevant parts of the embodiment of the present application for convenience of description.
Referring to fig. 4, the apparatus 300 may include: the carbon emission calculation module 310 of the road traffic, the carbon emission calculation module 320 of the passenger terminal station and the carbon emission calculation module 330 of the area to be monitored.
The carbon emission amount calculation module 310 of the road traffic is used for acquiring vehicle information on the road traffic in an area to be monitored, and acquiring a first traffic carbon emission amount on the road traffic based on the vehicle information and a first emission coefficient;
the carbon emission calculation module 320 of the passenger transport terminal is used for acquiring the driving information of vehicles in the passenger transport terminal in the area to be monitored, and acquiring the second transportation carbon emission of the passenger transport terminal based on the driving information and a second emission coefficient;
and a carbon emission amount calculation module 330 of the area to be monitored, configured to obtain the carbon emission amount of the traffic in the area to be monitored based on the first traffic carbon emission amount and the second traffic carbon emission amount.
In one possible implementation, the carbon emission calculation module 310 for road traffic may be specifically configured to:
acquiring videos and/or images acquired by a camera device on a road of an area to be monitored, and determining vehicle information of vehicles running in each road section on the road based on the videos and/or images, wherein the vehicle information comprises the total number of the vehicles and the types of the vehicles;
based on the formula
Figure 639268DEST_PATH_IMAGE001
And calculating the carbon emission of each road section in the road traffic, wherein,E p is the carbon emission amount of the p-th road segment,VKT p for all vehicles of the p-th road section at the first preset timeThe sum of the travel distances within the vehicle,
Figure 443276DEST_PATH_IMAGE002
for the proportion of the qth class of vehicles in the pth road segment to the total number of vehicles in the pth road segment,EF 1 a first discharge coefficient which is the carbon emission of a qth vehicle traveling a unit distance on a pth road segment, s is the number of types of vehicles on the pth road segment,
Figure 500094DEST_PATH_IMAGE003
the sum of the carbon emission of s vehicles in the p-th road section is shown, p is more than or equal to 1, and q is more than or equal to 1 and less than or equal to s;
and calculating the sum of the carbon emission of all the road sections in the area to be monitored, and taking the sum of the carbon emission of all the road sections as the first traffic carbon emission on the road traffic.
In one possible implementation, the carbon emission calculation module 320 of the passenger terminal can be specifically configured to:
acquiring the number of vehicles entering the station or the number of vehicles leaving the station of the passenger transport hub station, and recording the number of vehicles entering the station or the number of vehicles leaving the station as traffic flow;
acquiring running information of various vehicles in the passenger transport junction station, wherein the running information comprises the average running speed of the various vehicles in the passenger transport junction station in each running area and the running time of the various vehicles in each running area, and the running areas are divided based on the layout in the passenger transport junction station;
based on the formula
Figure 313329DEST_PATH_IMAGE004
Calculating the carbon emission of various vehicles when the vehicles run in the passenger transport terminal station,E g is the discharge coefficient of the class g vehicles when the vehicles run in the passenger transport hub station, e is more than or equal to 1 and less than or equal to f, f is the number of running areas,EF e,g a second emission coefficient that is an amount of carbon emissions when the g-th vehicle travels in the e-th travel region,V e,g for class g vehiclesAverage speed while traveling in the e-th traveling zone,T e,g for the travel time of the g-th type vehicle traveling in the e-th travel region,V g the traffic flow of class g vehicles in the passenger terminal station;
and calculating the sum of the carbon emission of all kinds of vehicles in the passenger terminal, and taking the sum of the carbon emission of all kinds of vehicles in the passenger terminal as the second transportation carbon emission of the passenger terminal.
In a possible implementation manner, when the area to be monitored includes air traffic, the connection with the carbon emission amount calculation module 330 of the area to be monitored further includes:
the system comprises a first data acquisition module, a second data acquisition module and a monitoring module, wherein the first data acquisition module is used for acquiring flight information of airplanes in an airport in an area to be monitored, the flight information comprises the types of the airplanes and the cycle times of various airplanes, one airplane in the airport takes off, and the airplane in the same type is used as a cycle when landing;
an air transportation carbon emission calculation module for formula-based transportation
Figure 404782DEST_PATH_IMAGE009
Calculating a third traffic carbon emission of the air traffic, wherein,E 3 in order to achieve the carbon emission for the third traffic,EF rt the carbon emissions in one cycle of an aircraft that is a class t engine in a class r aircraft,LTO rt cycle number for an aircraft that is a class t engine in a class r aircraft.
In a possible implementation manner, when waterway traffic is included in the area to be monitored, the method connected to the carbon emission calculation module 330 of the area to be monitored further includes:
the second data acquisition module is used for acquiring ship information of a ship running in waterway traffic of the area to be monitored, wherein the ship information comprises the type of the ship, the running condition of the ship in the area to be monitored and the running time of the ship under each running condition;
carbon of various shipsA discharge amount calculation module for calculating a discharge amount based on a formula
Figure 910849DEST_PATH_IMAGE010
Calculating the carbon emission of various ships, wherein i is more than or equal to 1, j is more than or equal to 1, k is more than or equal to 1, n is the total number of engine grades, m is the type of running working condition,E i is the carbon emission of the i-th ship,P i,j,k for the engine power of the vessel in the jth engine class in the ith vessel in the kth driving mode,EF i,j,k the emission coefficient of a ship of a jth engine class in an ith ship under a kth running condition,LF i,j,k the load factor of the ship of the jth engine class in the ith ship under the kth running condition,T i,j,k the driving time of the ship in the ith class of engine class under the kth driving condition is obtained;
and the waterway traffic carbon emission calculation module is used for calculating the sum of the carbon emission of various ships in the area to be monitored, and taking the sum of the carbon emission of various ships as the fourth traffic carbon emission of the waterway traffic.
In one possible implementation, for rail transit, a vehicle in the rail transit includes: subway and/or tram; when the area to be monitored includes rail transit, the step of connecting to the carbon emission calculation module 330 of the area to be monitored further includes:
the system comprises a third data acquisition module, a monitoring module and a monitoring module, wherein the third data acquisition module is used for acquiring the running information of vehicles in the rail transit in an area to be monitored, and the running information comprises the length of running lines of the vehicles in the rail transit and the total number of shifts of each running line in a preset period;
the rail transit carbon emission calculation module is used for calculating the carbon emission based on a formula
Figure 454963DEST_PATH_IMAGE011
And calculating the fifth traffic carbon emission of the rail transit in the area to be monitored, wherein,E 5 a is more than or equal to 1 for the carbon emission of the fifth traffic, and b is in the rail trafficThe total number of travel routes is,l a for the length of the a-th travel route,f a for the total shift of the a-th driving route running within the preset period,Fand the energy consumption factor is corresponding to the running route in the rail transit.
In a possible implementation manner, when the area to be monitored includes railway traffic, the step of connecting with the carbon emission calculation module 330 of the area to be monitored further includes:
the fourth data acquisition module is used for acquiring train number information of the operation train number on the railway traffic in the area to be monitored, wherein the train number information comprises the running length of the operation train number and the operation times of the operation train number;
a calculation module for carbon emission of railway traffic based on formula
Figure 71889DEST_PATH_IMAGE008
And calculating the sixth traffic carbon emission of the railway traffic in the area to be monitored, wherein,E 6 c is more than or equal to 1 for the carbon emission of the sixth traffic,dthe type of the operation train number in the area to be monitored,l c for the travel length of class c operating train numbers,f c the operation times of the class c operation train number,F c energy consumption factor for railway traffic of class c operating train numbers.
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 embodiment of the method of the present application, and specific reference may be made to the part of the embodiment of the method, which is 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 application. 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.
An embodiment of the present application further provides a terminal device, and referring to fig. 5, the terminal device 400 may include: at least one processor 410, a memory 420, and a computer program stored in the memory 420 and executable on the at least one processor 410, wherein the processor 410 when executing the computer program implements the steps of any of the method embodiments described above, such as the steps S101 to S103 in the embodiment shown in fig. 2. Alternatively, the processor 410, when executing the computer program, implements the functions of the modules/units in the above-described device embodiments, such as the functions of the modules 310 to 330 shown in fig. 4.
Illustratively, a computer program may be partitioned into one or more modules/units, which are stored in the memory 420 and executed by the processor 410 to accomplish the present application. The one or more modules/units may be a series of computer program segments capable of performing specific functions, which are used to describe the execution of the computer program in the terminal device 400.
Those skilled in the art will appreciate that fig. 5 is merely an example of a terminal device and is not limiting and may include more or fewer components than shown, or some components may be combined, or different components such as input output devices, network access devices, buses, etc.
The Processor 410 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 420 may be an internal storage unit of the terminal device, or may be an external storage device of the terminal device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like. The memory 420 is used for storing the computer programs and other programs and data required by the terminal device. The memory 420 may also be used to temporarily store data that has been output or is to be output.
The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.
The method for monitoring the traffic carbon emission provided by the embodiment of the application can be applied to terminal equipment such as a computer, a tablet computer, a notebook computer, a netbook, a Personal Digital Assistant (PDA) and the like, and the embodiment of the application does not limit the specific type of the terminal equipment.
The embodiment of the application also provides a computer-readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the steps in the embodiments of the method for monitoring carbon emissions from traffic.
The embodiment of the application provides a computer program product, and when the computer program product runs on a mobile terminal, the steps in each embodiment of the traffic carbon emission monitoring method can be realized when the mobile terminal is executed.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium and can implement the steps of the embodiments of the methods described above when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include at least: any entity or device capable of carrying computer program code to a photographing apparatus/terminal apparatus, a recording medium, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), an electrical carrier signal, a telecommunications signal, and a software distribution medium. Such as a usb-disk, a removable hard disk, a magnetic or optical disk, etc. In certain jurisdictions, computer-readable media may not be an electrical carrier signal or a telecommunications signal in accordance with legislative and patent practice.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.

Claims (9)

1. A method for monitoring carbon emission of traffic is characterized by comprising the following steps:
acquiring vehicle information of vehicles running on road traffic in an area to be monitored, and acquiring a first traffic carbon emission amount on the road traffic based on the vehicle information and a first emission coefficient corresponding to the vehicle information;
acquiring driving information of vehicles in a passenger transport junction station in an area to be monitored, and acquiring a second transportation carbon emission amount of the passenger transport junction station based on the driving information and a second emission coefficient corresponding to the driving information;
obtaining the traffic carbon emission of the area to be monitored based on the first traffic carbon emission and the second traffic carbon emission;
wherein the method for obtaining the carbon emission of the second transportation of the passenger transportation terminal station comprises the following steps:
acquiring the number of vehicles entering the station or the number of vehicles leaving the station of the passenger transport hub station, and recording the number of vehicles entering the station or the number of vehicles leaving the station as traffic flow;
acquiring running information of various vehicles in the passenger transport junction station, wherein the running information comprises the average running speed of the various vehicles in the passenger transport junction station in each running area and the running time of the various vehicles in each running area, and the running areas are divided based on the layout in the passenger transport junction station;
based on the formula
Figure 700277DEST_PATH_IMAGE001
Calculating the carbon emission of various vehicles when the vehicles run in the passenger transport terminal station,E g is the discharge coefficient of the class g vehicles when the vehicles run in the passenger transport hub station, e is more than or equal to 1 and less than or equal to f, f is the number of running areas,EF e,g a second emission coefficient that is an amount of carbon emissions when the g-th vehicle travels in the e-th travel region,V e,g is an average speed of the g-th type vehicle when traveling in the e-th traveling zone,T e,g for travel of class g vehicles in the e-th travel areaIn the middle of the furnace, the gas-liquid separation chamber,V g the traffic flow of class g vehicles in the passenger terminal station;
and calculating the sum of the carbon emission of all kinds of vehicles in the passenger terminal, and taking the sum of the carbon emission of all kinds of vehicles in the passenger terminal as the second transportation carbon emission of the passenger terminal.
2. The method for monitoring carbon emissions in traffic according to claim 1, wherein the obtaining vehicle information of vehicles traveling on road traffic in the area to be monitored comprises:
acquiring videos and/or images acquired by a camera device on a road of an area to be monitored, and determining vehicle information of vehicles running in each road section on the road based on the videos and/or images, wherein the vehicle information comprises the total number of the vehicles and the types of the vehicles;
the obtaining of a first carbon emission amount of traffic on the road traffic based on the vehicle information and a first emission coefficient corresponding to the vehicle information includes:
based on the formula
Figure 904994DEST_PATH_IMAGE002
And calculating the carbon emission of each road section in the road traffic, wherein,E p is the carbon emission amount of the p-th road segment,VKT p the total distance traveled by all vehicles on the p-th road section within the first preset time,
Figure 103894DEST_PATH_IMAGE003
for the proportion of the qth class of vehicles in the pth road segment to the total number of vehicles in the pth road segment,EF 1 a first discharge coefficient which is the carbon emission of a qth vehicle traveling a unit distance on a pth road segment, s is the number of types of vehicles on the pth road segment,
Figure 772772DEST_PATH_IMAGE004
for the p-th road sectionThe sum of the carbon emission of the middle-s type vehicles is that p is more than or equal to 1, and q is more than or equal to 1 and less than or equal to s;
and calculating the sum of the carbon emission of all the road sections in the area to be monitored, and taking the sum of the carbon emission of all the road sections as the first traffic carbon emission on the road traffic.
3. The method for monitoring carbon emissions in traffic according to claim 1, wherein when air traffic is included in the area to be monitored, before the obtaining of the carbon emissions in traffic for the area to be monitored based on the first carbon emissions in traffic and the second carbon emissions in traffic, further comprises:
acquiring flight information of airplanes in an airport in an area to be monitored, wherein the flight information comprises the types of the airplanes and the circulation times of various airplanes, and one airplane in the airport takes off and one airplane in the same type lands as one circulation;
based on the formula
Figure 766136DEST_PATH_IMAGE005
Calculating a third traffic carbon emission of the air traffic, wherein,E 3 in order to achieve the carbon emission for the third traffic,EF rt the carbon emissions in one cycle of an aircraft that is a class t engine in a class r aircraft,LTO rt cycle number for an aircraft that is a class t engine in a class r aircraft;
correspondingly, the carbon emission of the traffic in the area to be monitored is obtained based on the first carbon emission of the traffic, the second carbon emission of the traffic and the third carbon emission of the traffic.
4. The method for monitoring carbon emissions in traffic according to claim 1, wherein when waterway traffic is included in the area to be monitored, before the obtaining of the carbon emissions in traffic of the area to be monitored based on the first carbon emissions in traffic and the second carbon emissions in traffic, further comprises:
acquiring ship information of a ship running in waterway traffic of an area to be monitored, wherein the ship information comprises the type of the ship, the running condition of the ship in the area to be monitored and the running time of the ship under each running condition;
based on the formula
Figure 208881DEST_PATH_IMAGE006
Calculating the carbon emission of various ships, wherein i is more than or equal to 1, j is more than or equal to 1, k is more than or equal to 1, n is the total number of engine grades, m is the type of running working condition,E i is the carbon emission of the i-th ship,P i,j,k for the engine power of the vessel in the jth engine class in the ith vessel in the kth driving mode,EF i,j,k the emission coefficient of a ship of a jth engine class in an ith ship under a kth running condition,LF i,j,k the load factor of the ship of the jth engine class in the ith ship under the kth running condition,T i,j,k for the travel time of a vessel in the jth engine class in an ith vessel in a kth driving regime,H i the total number of the i-th ship;
calculating the sum of the carbon emission of various ships in the area to be monitored, and taking the sum of the carbon emission of various ships as the fourth traffic carbon emission of the waterway traffic;
correspondingly, the carbon emission of the traffic in the area to be monitored is obtained based on the first carbon emission of the traffic, the second carbon emission of the traffic and the fourth carbon emission of the traffic.
5. The method for monitoring carbon emissions from traffic according to claim 1, wherein for rail traffic, the vehicles in said rail traffic comprise: subway and/or tram;
when rail transit is included in the area to be monitored, before obtaining the carbon emission of the traffic in the area to be monitored based on the carbon emission of the first traffic and the carbon emission of the second traffic, the method further comprises the following steps:
acquiring running information of vehicles in rail transit in an area to be monitored, wherein the running information comprises the length of running lines of the vehicles in the rail transit and the total number of shifts of each running line running in a preset period;
based on the formula
Figure 945893DEST_PATH_IMAGE007
And calculating the fifth traffic carbon emission of the rail transit in the area to be monitored, wherein,E 5 a is equal to or more than 1 for the carbon emission of the fifth traffic, b is the total number of the running routes in the rail traffic,l a for the length of the a-th travel route,f a for the total shift of the a-th driving route running within the preset period,Fenergy consumption factors corresponding to the driving lines in the rail transit;
correspondingly, the carbon emission of the traffic in the area to be monitored is obtained based on the first carbon emission of the traffic, the second carbon emission of the traffic and the fifth carbon emission of the traffic.
6. The method for monitoring carbon emissions in traffic according to claim 1, wherein when the area to be monitored includes railway traffic, before the obtaining of the carbon emissions in traffic in the area to be monitored based on the first carbon emissions in traffic and the second carbon emissions in traffic, further comprises:
obtaining train number information of an operation train number on railway traffic in an area to be monitored, wherein the train number information comprises the running length of the operation train number and the operation times of the operation train number;
based on the formula
Figure 469278DEST_PATH_IMAGE008
And calculating the sixth traffic carbon emission of the railway traffic in the area to be monitored, wherein,E 6 c is more than or equal to 1 for the carbon emission of the sixth traffic,dthe type of the operation train number in the area to be monitored,l c for the travel length of class c operating train numbers,f c the operation times of the class c operation train number,F c energy consumption factor of railway traffic of class c operation train number;
correspondingly, the carbon emission of the traffic in the area to be monitored is obtained based on the first carbon emission of the traffic, the second carbon emission of the traffic and the sixth carbon emission of the traffic.
7. A monitoring device of traffic carbon emission is characterized by comprising:
the carbon emission calculation module of the road traffic is used for acquiring vehicle information on the road traffic in an area to be monitored, and acquiring a first traffic carbon emission on the road traffic based on the vehicle information and a first emission coefficient;
the carbon emission calculation module of the passenger transport terminal is used for acquiring the driving information of vehicles in the passenger transport terminal in the area to be monitored, and acquiring the second transportation carbon emission of the passenger transport terminal based on the driving information and a second emission coefficient;
the carbon emission calculation module of the area to be monitored is used for obtaining the carbon emission of the traffic of the area to be monitored based on the first carbon emission of the traffic and the second carbon emission of the traffic;
the carbon emission calculation module of the passenger terminal station can be specifically used for:
acquiring the number of vehicles entering the station or the number of vehicles leaving the station of the passenger transport hub station, and recording the number of vehicles entering the station or the number of vehicles leaving the station as traffic flow;
acquiring running information of various vehicles in the passenger transport junction station, wherein the running information comprises the average running speed of the various vehicles in the passenger transport junction station in each running area and the running time of the various vehicles in each running area, and the running areas are divided based on the layout in the passenger transport junction station;
based on the formula
Figure 102385DEST_PATH_IMAGE001
Calculating the carbon emission of various vehicles when the vehicles run in the passenger transport terminal station,E g is a class g vehicleThe discharge coefficient when driving in the passenger transport hub station is more than or equal to 1 and less than or equal to f, f is the number of driving areas,EF e,g a second emission coefficient that is an amount of carbon emissions when the g-th vehicle travels in the e-th travel region,V e,g is an average speed of the g-th type vehicle when traveling in the e-th traveling zone,T e,g for the travel time of the g-th type vehicle traveling in the e-th travel region,V g the traffic flow of class g vehicles in the passenger terminal station;
and calculating the sum of the carbon emission of all kinds of vehicles in the passenger terminal, and taking the sum of the carbon emission of all kinds of vehicles in the passenger terminal as the second transportation carbon emission of the passenger terminal.
8. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the method of monitoring carbon emissions from traffic according to any one of claims 1 to 6 when executing the computer program.
9. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the method for monitoring carbon emissions from traffic according to any one of claims 1 to 6.
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