CN112785843A - Carbon emission monitoring method, device, server and computer-readable storage medium - Google Patents
Carbon emission monitoring method, device, server and computer-readable storage medium Download PDFInfo
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- CN112785843A CN112785843A CN202011570016.8A CN202011570016A CN112785843A CN 112785843 A CN112785843 A CN 112785843A CN 202011570016 A CN202011570016 A CN 202011570016A CN 112785843 A CN112785843 A CN 112785843A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
Abstract
The embodiment of the application provides a carbon emission monitoring method, a carbon emission monitoring device, a server and a computer readable storage medium, and relates to the technical field of information. The method comprises the steps that an entrance camera and an exit camera are respectively arranged at an entrance and an exit of a road, vehicle information and running time of each vehicle running on the road are determined according to first image data, the first shooting time, second image data and second shooting time by acquiring the first image data collected by the entrance camera and the first shooting time corresponding to the first image data and the second shooting time corresponding to the second image data collected by the exit camera, and then carbon emission of the vehicles is calculated according to the vehicle information, the running time and road parameters corresponding to the road. So, can effectively monitor the tail gas carbon emission condition of every vehicle of traveling on the road, and then obtain the carbon emission volume of whole road, the rate of accuracy is high.
Description
Technical Field
The present application relates to the field of information technology, and in particular, to a carbon emission monitoring method, apparatus, server, and computer-readable storage medium.
Background
The tail gas of the vehicle is the waste gas generated when the vehicle is used, and the tail gas can bring adverse effects to the environment of human life while directly harming human health.
Therefore, how to effectively monitor the carbon emission condition of the tail gas of the vehicles running on the road is a technical problem which needs to be solved at present.
Disclosure of Invention
In view of the above, an object of the present application is to provide a carbon emission monitoring method, device, server and computer readable storage medium, which can effectively monitor carbon emission of exhaust gas of vehicles running on a road.
In order to achieve the above purpose, the embodiments of the present application employ the following technical solutions:
in a first aspect, the present application provides a carbon emission monitoring method for calculating a carbon emission amount of a vehicle traveling on a road, where an entrance camera and an exit camera are respectively disposed at an entrance and an exit of the road, the method including:
acquiring first image data acquired by the inlet camera and first shooting time corresponding to the first image data, and second image data acquired by the outlet camera and second shooting time corresponding to the second image data;
determining vehicle information and a driving time of each vehicle driving on the road according to the first image data, the first shooting time, the second image data and the second shooting time;
and calculating the carbon emission of the vehicle according to the vehicle information, the running time and the road parameters corresponding to the road.
In an optional embodiment, the step of calculating the carbon emission of the vehicle according to the vehicle information, the travel time and the road parameter corresponding to the road comprises:
calculating the fuel consumption of the vehicle according to the vehicle information, the driving time and the road parameters;
calculating the exhaust emission of the vehicle according to the fuel consumption, the running time and a preset air-fuel ratio;
calculating the pollutant discharge amount in the exhaust gas discharged by the vehicle according to the exhaust gas discharge amount;
and calculating the carbon emission of the vehicle according to the pollutant emission.
In an alternative embodiment, the step of calculating the fuel consumption of the vehicle based on the vehicle information, the travel time, and the road parameter includes:
calculating the running speed of the vehicle according to the road parameters and the running time;
determining a hundred kilometer fuel consumption value of the vehicle according to the vehicle information and the running speed;
calculating the total oil consumption of the vehicle on the road according to the hundred kilometer oil consumption value and the road parameters;
and calculating the fuel consumption of the vehicle according to the total fuel consumption, the preset gasoline density and the running time.
In an alternative embodiment, the road parameters include a total length of the road, a flat road length, an uphill road length, and a downhill road length;
the step of calculating the travel speed of the vehicle according to the road parameter and the travel time includes: calculating the running speed of the vehicle according to the total length and the running time;
the step of calculating the total oil consumption of the vehicle on the road according to the hundred kilometer oil consumption value and the road parameters comprises the following steps: and calculating the total oil consumption of the vehicle on the road according to the hundred kilometer oil consumption value, the length of the flat road, the length of the uphill road and the length of the downhill road.
In an alternative embodiment, the pollutants in the exhaust emitted by the vehicle include carbon monoxide, carbon dioxide and hydrocarbons, and the step of calculating the pollutant emission in the exhaust emitted by the vehicle based on the exhaust emission comprises:
calculating the carbon monoxide emission according to the exhaust emission, a preset carbon monoxide volume ratio and a preset carbon monoxide density;
calculating the discharge amount of carbon dioxide according to the discharge amount of waste gas, a preset volume ratio of carbon dioxide and a preset density of carbon dioxide;
and calculating the hydrocarbon emission according to the exhaust emission, the preset hydrocarbon volume ratio and the preset hydrocarbon density.
In an alternative embodiment, the step of calculating the carbon emissions of the vehicle from the pollutant emissions comprises:
and calculating the carbon emission of the vehicle according to the carbon emission and the carbon content corresponding to the carbon monoxide, the carbon emission and the carbon content corresponding to the carbon dioxide, and the hydrocarbon emission and the carbon content corresponding to the hydrocarbon.
In an alternative embodiment, the method further comprises:
recording carbon emissions of the vehicle, a time the vehicle entered the road, and a time the vehicle left the road to a carbon emissions database;
rendering the carbon emissions of the vehicle to a geographic information system.
In a second aspect, the present application provides a carbon emission monitoring device for calculating the carbon emission of a vehicle traveling on a road, an entrance camera and an exit camera are respectively provided at an entrance and an exit of the road, the device includes:
the data acquisition module is used for acquiring first image data acquired by the inlet camera and first shooting time corresponding to the first image data, and acquiring second image data acquired by the outlet camera and second shooting time corresponding to the second image data;
a vehicle identification module, configured to determine vehicle information and a driving time of each vehicle driving on the road according to the first image data, the first shooting time, the second image data, and the second shooting time;
and the data processing module is used for calculating the carbon emission of the vehicle according to the vehicle information, the running time and the road parameters corresponding to the road.
In a third aspect, the present application provides a server comprising a processor and a memory, the memory storing a computer program, the processor implementing the method of any one of the preceding embodiments when executing the computer program.
In a fourth aspect, the present application provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of any of the preceding embodiments.
According to the carbon emission monitoring method, the carbon emission monitoring device, the carbon emission monitoring server and the computer readable storage medium, an entrance camera and an exit camera are respectively arranged at an entrance and an exit of a road, vehicle information and running time of each vehicle running on the road are determined according to first image data, first shooting time, second image data and second shooting time by acquiring first image data collected by the entrance camera and first shooting time corresponding to the first image data, and second image data collected by the exit camera and second shooting time corresponding to the second image data, and then carbon emission of the vehicle is calculated according to the vehicle information, the running time and road parameters corresponding to the road. So, can effectively monitor the tail gas carbon emission condition of every vehicle of traveling on the road, and then obtain the carbon emission volume of whole road, the rate of accuracy is high.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
FIG. 1 is a schematic diagram of an application environment suitable for use in embodiments of the present application;
FIG. 2 is a block diagram of a server provided by an embodiment of the present application;
FIG. 3 is a schematic flow chart diagram illustrating a carbon emission monitoring method provided by an embodiment of the present application;
FIG. 4 is a flow chart illustrating the sub-steps of step S303 in FIG. 3;
FIG. 5 shows a schematic view of a road on which a vehicle is traveling;
FIG. 6 is a schematic flow chart diagram illustrating a carbon emission monitoring method provided by an embodiment of the present application;
fig. 7 is a functional block diagram of a carbon emission monitoring apparatus provided in an embodiment of the present application.
Icon: 100-a server; 200-a camera; 300-a display device; 400-a terminal device; 700-carbon emission monitoring means; 110-a memory; 120-a processor; 130-a communication module; 710-a data acquisition module; 720-vehicle identification module; 730-data processing module.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
It is noted that relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
In the process of realizing the technical scheme of the embodiment of the application, the inventor finds that the current vehicle tail gas monitoring mainly adopts monitoring forms such as an urban motor vehicle tail gas emission annual inspection management system, road vehicle tail gas monitoring and the like. The annual exhaust emission inspection management system requires all vehicles to be inspected regularly, whether the exhaust emission of the vehicles meets the standard or not is detected, and only vehicles qualified in annual inspection are allowed to run on the road. Road vehicle exhaust monitoring mainly adopts road to patrol and examine and remote sensing monitoring technology, and wherein, the road is patrolled and examined and is carried out contact detection through the mode of artifical interception, to vehicle vent-pipe sampling, then carries out the analysis with conventional instrument, and this kind of mode can have following problem: 1. due to the fact that the traffic flow of the road is large, vehicle congestion can be caused by interception and detection, traffic is affected, and greater pollution is generated; 2. the contact detection is time-consuming and labor-consuming, the operation difficulty is high, the detection samples are few, the detection efficiency is low, and the pollution condition of the tail gas of the vehicle cannot be comprehensively detected and monitored; 3. the human participation degree in the detection process is too high, and the tail gas can cause damage to detection personnel. Remote sensing monitoring establishes the monitoring station on the road, when the vehicle passes through, can measure the pollutant in the vehicle exhaust to combine technologies such as video snapshot, image recognition, carry out signal capture to the unusual emission of tail gas, but this kind of mode also has certain limitation: 1. pollutants in the tail gas of the vehicle can not be accurately measured, and only the tail gas detection value at a certain moment and a certain position can be obtained; 2. the vehicle remote sensing technology does not detect the road environment gas, and the difference of air quality, wind power and humidity can affect the detection result; 3. the existing video snapshot function mainly reads tail gas abnormal information, such as tail gas color abnormality and the like, and does not read tail gas information of all vehicles, so that the tail gas emission condition of each running vehicle on a road is difficult to effectively monitor.
Based on the research on the defects, the embodiment of the application provides a carbon emission monitoring method, a device, a server and a computer-readable storage medium, wherein an entrance camera and an exit camera are respectively arranged at an entrance and an exit of a road and are used for acquiring information of vehicles running on the road in real time, and finally, the carbon emission of each vehicle is calculated according to data acquired by the entrance camera and the exit camera, so that the carbon emission of the tail gas of the whole road or even the whole city is effectively monitored. Embodiments in the present application will be described in detail below with reference to the accompanying drawings.
Fig. 1 is a schematic diagram of an application environment suitable for the embodiment of the present application. The server 100 is communicatively connected with a plurality of cameras 200, and the plurality of cameras 200 may be provided on a plurality of roads for photographing vehicles traveling on the roads. The camera 200 may be a 5G camera, and communicates with the server 100 and transmits data in a 5G communication manner.
In this embodiment, an entrance camera and an exit camera may be respectively disposed at an entrance and an exit of each road, the entrance camera is configured to capture an image of a vehicle entering the road, the exit camera is configured to capture an image of the vehicle leaving the road, the entrance camera and the exit camera upload captured image data to the server 100, the server 100 may calculate carbon emission amount of each vehicle on the road based on the received image data, synthesize the carbon emission amount of each vehicle to obtain the carbon emission data of the road, and then synthesize the carbon emission data of multiple roads, so as to obtain the carbon emission data of one area or even the whole city, thereby monitoring the carbon emission condition of the tail gas of the urban vehicle in real time, and providing data basis for road planning, air pollution control, and the like.
In this embodiment, the server 100 may also be connected to the display device 300 and the terminal device 400. For example, the display device 300 may be a large monitoring screen, and a user may monitor the carbon emission in real time through the large monitoring screen and check vehicle information that the carbon emission of the exhaust gas exceeds the standard according to video monitoring; the terminal device 400 may be a smart phone, a tablet Computer, a PC (Personal Computer), etc., and the user may view the carbon emission data recorded by the server 100 through the terminal device 400, view the carbon emission change trend, etc., based on big data statistics of the server 100, and may also perform data analysis of carbon emission according to time, day, week, month, season, year, and different roads.
Fig. 2 is a block diagram of a server 100 according to an embodiment of the present disclosure. The server 100 includes a memory 110, a processor 120, and a communication module 130. The memory 110, the processor 120, and the communication module 130 are electrically connected to each other directly or indirectly to enable data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines.
The memory 110 is used to store programs or data. The Memory 110 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like.
The processor 120 is used to read/write data or programs stored in the memory 110 and perform corresponding functions. For example, the processor 120 may implement the carbon emission monitoring method disclosed in the embodiments of the present application when executing the computer program stored in the memory 110.
The communication module 130 is used for establishing a communication connection between the server 100 and other communication terminals (such as the camera 200, the terminal device 400, and the like) through a network, and for transceiving data through the network.
It should be understood that the configuration shown in fig. 2 is merely a schematic diagram of the configuration of the server 100, and that the server 100 may include more or fewer components than shown in fig. 2, or have a different configuration than shown in fig. 2. The components shown in fig. 2 may be implemented in hardware, software, or a combination thereof.
Embodiments of the present application also provide a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by the processor 120, can implement the carbon emission monitoring method disclosed in the embodiments of the present application.
Fig. 3 is a schematic flow chart of a carbon emission monitoring method according to an embodiment of the present disclosure. It should be noted that, the carbon emission monitoring method provided in the embodiment of the present application is not limited by fig. 3 and the following specific sequence, and it should be understood that, in other embodiments, the sequence of some steps in the carbon emission monitoring method provided in the embodiment of the present application may be interchanged according to actual needs, or some steps in the carbon emission monitoring method may be omitted or deleted. The carbon emission monitoring method can be applied to the server 100 shown in fig. 1, and the specific process shown in fig. 3 will be described in detail below.
Step S301, acquiring first image data acquired by an entrance camera and first shooting time corresponding to the first image data, and second image data acquired by an exit camera and second shooting time corresponding to the second image data.
In this embodiment, when a certain vehicle enters a certain road, an entrance camera arranged at an entrance of the road may capture first image data of the vehicle, and the entrance camera uploads the captured first image data and corresponding first capturing time to the server 100; when the vehicle leaves the road, the exit camera disposed at the exit of the road may capture the second image data of the vehicle, and the exit camera uploads the captured second image data and the corresponding second capturing time to the server 100.
Step S302, vehicle information and a travel time of each vehicle traveling on the road are determined according to the first image data, the first photographing time, the second image data and the second photographing time.
In this embodiment, a vehicle database for storing vehicle information may be pre-established in the server 100, where the vehicle information may include information such as a license plate, a vehicle type, a color, an age, and age information (exhaust emission information of a vehicle), and the server 100 may identify the license plate information of the vehicle traveling on the road based on the received first image data and second image data, and perform matching of the vehicle information in the vehicle database according to the identified license plate information, so as to obtain the vehicle information of the vehicle traveling on the road; and determining the running time of the vehicle on the road according to the first shooting time and the second shooting time corresponding to the same vehicle.
Step S303, calculating the carbon emission of the vehicle according to the vehicle information, the driving time and the road parameters corresponding to the road.
In this embodiment, a road database for storing road parameters may be pre-established in the server 100, where the road parameters may include information such as set entry cameras, set exit cameras, road lengths, and road slopes, and the server 100 may perform matching of the road parameters in the road database based on the entry camera transmitting the first image data and the exit camera transmitting the second image data, so as to determine the road parameters corresponding to the road on which the vehicle travels. After the vehicle information, the running time and the road parameter corresponding to the road on which the vehicle runs are obtained, the carbon emission of the vehicle on the road can be calculated according to the vehicle information, the running time and the road parameter.
According to the carbon emission monitoring method provided by the embodiment of the application, the entrance camera and the exit camera are respectively arranged at the entrance and the exit of the road, the vehicle information and the running time of each vehicle running on the road are determined according to the first image data, the first shooting time, the second image data and the second shooting time by acquiring the first image data acquired by the entrance camera and the first shooting time corresponding to the first image data and the second shooting time corresponding to the second image data acquired by the exit camera, and then the carbon emission of the vehicle is calculated according to the vehicle information, the running time and the road parameters corresponding to the road. So, can effectively monitor the tail gas carbon emission condition of every vehicle of traveling on the road, and then obtain the carbon emission volume of whole road, the rate of accuracy is high.
In an embodiment, referring to fig. 4, the step S303 may include the following sub-steps:
and a substep S3031 of calculating the fuel consumption of the vehicle according to the vehicle information, the travel time and the road parameters.
In this embodiment, the server 100 may calculate the fuel consumption of the vehicle on the road according to the acquired vehicle information, the driving time and the road parameter.
And a substep S3032 of calculating the exhaust emission of the vehicle according to the fuel consumption, the driving time and the preset air-fuel ratio.
The stoichiometric air-fuel ratio when the vehicle runs at a constant speed is generally 14.7, and the air-fuel ratio can be set according to actual conditions, which is not limited in this embodiment.
And a substep S3033 of calculating an amount of pollutant emission in the exhaust gas emitted from the vehicle based on the amount of exhaust gas emission.
And a substep S3034 of calculating the carbon emission of the vehicle according to the pollutant emission.
According to the carbon emission monitoring method provided by the embodiment of the application, after the server 100 obtains the vehicle information, the driving time and the road parameters corresponding to the road, the fuel consumption of the vehicle is calculated according to the vehicle information, the driving time and the road parameters, the exhaust emission of the vehicle is calculated according to the fuel consumption, the driving time and the preset air-fuel ratio, the pollutant emission in the exhaust gas emitted by the vehicle is calculated according to the exhaust emission, and the carbon emission of the vehicle is calculated according to the pollutant emission. Therefore, the carbon emission of each vehicle on the road can be accurately calculated, and the carbon emission of the whole road and even the whole city can be effectively monitored.
In an embodiment, the sub-step S3031 may specifically include: the method comprises the steps of calculating the running speed of a vehicle according to road parameters and running time, determining a fuel consumption value of the vehicle per hundred kilometers according to vehicle information and the running speed, calculating the total fuel consumption of the vehicle on a road according to the fuel consumption value per hundred kilometers and the road parameters, and calculating the fuel consumption of the vehicle according to the total fuel consumption, preset gasoline density and the running time.
In this embodiment, the server 100 may pre-establish a corresponding relationship between the vehicle information, the driving speed, and the fuel consumption value per hundred kilometers, where the fuel consumption value per hundred kilometers may be obtained according to an actual test. After obtaining the vehicle information and the driving speed corresponding to the vehicle running on the road, the server 100 may obtain the fuel consumption value of hundred kilometers matched with the vehicle by searching the corresponding relationship.
In this embodiment, the road parameters may include a total length of the road, a flat road length, an uphill road length, and a downhill road length, and the server 100 may calculate the driving speed of the vehicle according to the total length of the road and the driving time, and calculate the total oil consumption of the vehicle on the road according to the hundred kilometers oil consumption, the flat road length, the uphill road length, and the downhill road length.
In the present embodiment, the pollutants in the exhaust gas emitted by the vehicle include carbon monoxide, carbon dioxide and hydrocarbons, and the server 100 may calculate the amount of carbon monoxide emitted according to the amount of exhaust gas emitted, the preset volume ratio of carbon monoxide and the preset density of carbon monoxide, calculate the amount of carbon dioxide emitted according to the amount of exhaust gas emitted, the preset volume ratio of carbon dioxide and the preset density of carbon dioxide, and calculate the amount of hydrocarbon emitted according to the amount of exhaust gas emitted, the preset volume ratio of hydrocarbons and the preset density of hydrocarbons when calculating the amount of pollutants emitted from the exhaust gas emitted by the vehicle. When the server 100 calculates the carbon emission of the vehicle according to the pollutant emission, the carbon emission of the vehicle can be calculated according to the carbon emission and the carbon content corresponding to carbon monoxide, the carbon emission and the carbon content corresponding to carbon dioxide, and the hydrocarbon emission and the carbon content corresponding to hydrocarbon.
An example is given below to specifically explain the process of the above-described server 100 calculating the carbon emission amount of the vehicle.As shown in fig. 5, assuming that the flat road length of a road on which a certain vehicle travels is L (km), the uphill road length is m (km), the downhill road length is n (km), the travel time is T (min), and the total length is L + m + n ═ S (km), the travel speed of the vehicle can be calculated from the total length S and the travel time T of the vehicle, and the hundred kilometer value of the vehicle is p (L/100km) according to the vehicle information and the travel speed of the vehicle. Since the fuel consumption of the vehicle running uphill is greater than that of the vehicle running on a flat road (for example, the fuel consumption is increased by 20% -30% based on the fuel consumption per hundred kilometers, in this embodiment, 30% is taken as an example), and the fuel consumption of the vehicle running downhill is less than that of the vehicle running on a flat road (for example, the fuel consumption per hundred kilometers is 20%), the server 100 may use the formula
Calculating the total fuel consumption p' (L) of the vehicle on the road and then according to the formula
The fuel consumption a (kg/min) of the vehicle is calculated, where ρ represents a preset gasoline density (e.g., 0.737 g/ml). The server 100 calculates the fuel consumption A of the vehicle according to the formula
Calculating the exhaust emission D (m) of the vehicle3H), where k represents a preset air-fuel ratio. After the exhaust emission D of the vehicle is calculated, the amount G (kg/h) of pollutants in the exhaust emitted from the vehicle can be calculated according to the formula G ═ DCf, where C denotes the volume ratio (concentration) of the pollutant emissions in the exhaust, and f denotes the gas density (conversion coefficient of volume and mass) of the pollutants. Specifically, the carbon monoxide emission G may be calculated according to the formula G ═ DCf, respectivelyCO＝DCCOfCODischarge amount of carbon dioxide
Emission of hydrocarbons
CxHyRepresents a hydrocarbon compound.
In practical applications, the main pollutants in the exhaust gas (exhaust gas) of a vehicle are: carbon monoxide (CO) and carbon dioxide (CO)2) Nitrogen Oxide (NO)x) Total Hydrocarbons (THC), non-methane hydrocarbons (NMHC), nitrous oxide (N)2O). Wherein Nitrogen Oxide (NO)x) With nitrogen dioxide (NO)2) Equivalent represents; total Hydrocarbons (THC) and non-methane hydrocarbons (NMHC) assume the hydrocarbon ratios as follows: (a) gasoline: c1H1.85(ii) a (b) Diesel oil: c1H1.86(ii) a (c) Liquefied Petroleum Gas (LPG): C1H2.525(ii) a (d) Natural Gas (NG) CH4Then the above-mentioned hydrocarbon compound CxHyMainly comprises C1H1.85、C1H1.86、C1H2.525、CH4. Based on this, in the present embodiment, a correspondence relationship between contaminants and volume ratios (concentrations) can be referred to table 1, and a correspondence relationship between contaminants and densities can be referred to table 2.
TABLE 1
| Contaminants | CO2 | CO | CxHy |
| Volume ratio | 13.5％～14.8％ | 5％ | 2％～5％ |
TABLE 2
| Contaminants | CO2 | CO | C1H1.85 | C1H1.86 | C1H2.525 | CH4 |
| Density of | 1.964g/L | 1.25g/L | 0.618g/L | 0.619g/L | 0.648g/L | 0.714g/L |
When the server 100 calculates the pollutant discharge amount, the specific value of the volume ratio of each pollutant can be set according to the actual situation, for example, the volume ratio of carbon monoxide is set to be 5%, the volume ratio of carbon dioxide is set to be 14%, and C is set to be C1H1.85Volume ratio of (2%) and (C)1H1.86Volume ratio of (3%) and C1H2.525Is not limited toProduct ratio of 3.5% and CH4The volume ratio of (B) is 4%. Thus, the carbon monoxide emission amount, the carbon dioxide emission amount and C in the exhaust gas discharged by the vehicle can be calculated1H1.85Discharge amount, C1H1.86Discharge amount, C1H2.525Emission and CH4And (4) discharging the amount.
In the present embodiment, the carbon content W corresponding to each pollutant in the exhaust gas discharged from the vehicle can be referred to table 3, in which CO2Corresponding carbon content of 12/44, carbon content of 12/28 and C for CO1H1.85Corresponding carbon content of 12/13.85, C1H1.86Corresponding carbon content of 12/13.86, C1H2.525Corresponding carbon content of 12/14.525, CH4The corresponding carbon content is 12/16.
TABLE 3
| Contaminants | CO2 | CO | C1H1.85 | C1H1.86 | C1H2.525 | CH4 |
| Carbon content | 12/44 | 12/28 | 12/13.85 | 12/13.86 | 12/14.525 | 12/16 |
The server 100 can calculate the carbon emission Q of the vehicle according to the following formula:
in an embodiment, referring to fig. 6, a method for monitoring carbon emissions provided in an embodiment of the present application may further include the following steps:
in step S601, the carbon emission amount of the vehicle, the time when the vehicle enters the road, and the time when the vehicle leaves the road are recorded in the carbon emission database.
In this embodiment, the time when the vehicle enters the road is the first shooting time corresponding to the first image data corresponding to the vehicle, and the time when the vehicle leaves the road is the second shooting time corresponding to the second image data corresponding to the vehicle. After the carbon emission Q of the vehicle is calculated, the server 100 may record the carbon emission Q of the vehicle, the time when the vehicle enters the road, and the time when the vehicle leaves the road into a carbon emission database, and complete the carbon emission data storage, thereby establishing a complete exhaust gas carbon emission database management information system, and completing the work of management, control, data acquisition, calculation analysis, and the like. The server 100 can obtain the carbon emission data of the road section by integrating the carbon emission of each vehicle on the road, and can obtain the carbon emission data of one area or even the whole city by integrating the carbon emission data of multiple road sections, thereby providing data basis for road planning, air pollution control and the like. The carbon emission of each vehicle monitored by the server 100 can also be displayed on a large monitoring screen in real time, so that a user can conveniently check vehicle information that the carbon emission of the tail gas exceeds the standard according to video monitoring, and the user can also read the carbon emission data of each road section from the server 100 in real time through the terminal device 400.
Step S602, the carbon emission amount of the vehicle is rendered to a geographic information system.
In this embodiment, the server 100 may render the monitored carbon emission amount of each vehicle on each road to a GIS (Geographic Information System) in real time, and the user checks the carbon emission condition of each road on the GIS map through the terminal device 400.
In order to perform the corresponding steps in the above embodiments and in each possible manner, an implementation of the carbon emission monitoring device is given below. Referring to fig. 7, fig. 7 is a functional block diagram of a carbon emission monitoring apparatus 700 according to an embodiment of the present disclosure. It should be noted that the carbon emission monitoring apparatus 700 provided in the present embodiment has the same basic principle and technical effect as those of the above embodiments, and for the sake of brief description, no part of the present embodiment is mentioned, and reference may be made to the corresponding contents in the above embodiments. The carbon emission monitoring device 700 is used for calculating the carbon emission of a vehicle running on a road, and comprises a data acquisition module 710, a vehicle identification module 720 and a data processing module 730.
The data acquiring module 710 is configured to acquire first image data acquired by the entrance camera and first shooting time corresponding to the first image data, and acquire second image data acquired by the exit camera and second shooting time corresponding to the second image data.
It is understood that the data obtaining module 710 may perform the step S301.
The vehicle identification module 720 is configured to determine vehicle information and a driving time of each vehicle driving on the road according to the first image data, the first photographing time, the second image data, and the second photographing time.
It is understood that the vehicle identification module 720 may perform the step S302.
The data processing module 730 is used for calculating the carbon emission of the vehicle according to the vehicle information, the driving time and the road parameters corresponding to the road.
It is understood that the data processing module 730 can perform the step S303.
Alternatively, the data processing module 730 may be configured to calculate a fuel consumption of the vehicle according to the vehicle information, the driving time, and the road parameter, calculate an exhaust emission of the vehicle according to the fuel consumption, the driving time, and a preset air-fuel ratio, calculate an amount of pollutant emission in exhaust gas emitted from the vehicle according to the exhaust emission, and calculate an amount of carbon emission of the vehicle according to the pollutant emission.
It is understood that the data processing module 730 may perform the above steps S3031 to S3034.
Optionally, the data processing module 730 is specifically configured to calculate a driving speed of the vehicle according to the road parameter and the driving time, determine a fuel consumption per kilometer of the vehicle according to the vehicle information and the driving speed, calculate a total fuel consumption of the vehicle on the road according to the fuel consumption per kilometer and the road parameter, and calculate a fuel consumption of the vehicle according to the total fuel consumption, a preset gasoline density, and the driving time.
Optionally, the road parameters include a total length of the road, a length of a flat road, a length of an uphill road, and a length of a downhill road, and the data processing module 730 is specifically configured to calculate a driving speed of the vehicle according to the total length and a driving time, and calculate a total oil consumption of the vehicle on the road according to a hundred kilometers oil consumption value, the length of the flat road, the length of the uphill road, and the length of the downhill road.
Optionally, the pollutants in the exhaust gas emitted by the vehicle include carbon monoxide, carbon dioxide and hydrocarbons, and the data processing module 730 is specifically configured to calculate an emission amount of carbon monoxide according to the emission amount of the exhaust gas, a preset volume ratio of carbon monoxide and a preset density of carbon monoxide, calculate an emission amount of carbon dioxide according to the emission amount of the exhaust gas, the preset volume ratio of carbon dioxide and the preset density of carbon dioxide, and calculate an emission amount of hydrocarbons according to the emission amount of the exhaust gas, the preset volume ratio of hydrocarbons and the preset density of hydrocarbons; and calculating the carbon emission of the vehicle according to the carbon monoxide emission and the carbon content corresponding to the carbon monoxide, the carbon dioxide emission and the carbon content corresponding to the carbon dioxide, the hydrocarbon emission and the carbon content corresponding to the hydrocarbon.
Optionally, the data processing module 730 may be further configured to record the carbon emission amount of the vehicle, the time when the vehicle enters the road, and the time when the vehicle leaves the road to a carbon emission database, and render the carbon emission amount of the vehicle to a geographic information system.
It is understood that the data processing module 730 can also execute the above steps S601 to S602.
According to the carbon emission monitoring device 700 provided by the embodiment of the application, the data acquisition module 710 acquires first image data acquired by the inlet camera and first shooting time corresponding to the first image data, and second image data acquired by the outlet camera and second shooting time corresponding to the second image data, the vehicle identification module 720 determines vehicle information and running time of each vehicle running on a road according to the first image data, the first shooting time, the second image data and the second shooting time, and the data processing module 730 calculates the carbon emission of the vehicle according to the vehicle information, the running time and road parameters corresponding to the road. So, can effectively monitor the tail gas carbon emission condition of every vehicle of traveling on the road, and then obtain the carbon emission volume of whole road, the rate of accuracy is high.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. A carbon emission monitoring method for calculating the carbon emission of a vehicle traveling on a road, the road having an entrance camera and an exit camera provided at an entrance and an exit of the road, respectively, the method comprising:
acquiring first image data acquired by the inlet camera and first shooting time corresponding to the first image data, and second image data acquired by the outlet camera and second shooting time corresponding to the second image data;
determining vehicle information and a driving time of each vehicle driving on the road according to the first image data, the first shooting time, the second image data and the second shooting time;
and calculating the carbon emission of the vehicle according to the vehicle information, the running time and the road parameters corresponding to the road.
2. The method of claim 1, wherein the step of calculating the carbon emission of the vehicle based on the vehicle information, the travel time, and the road parameter corresponding to the road comprises:
calculating the fuel consumption of the vehicle according to the vehicle information, the driving time and the road parameters;
calculating the exhaust emission of the vehicle according to the fuel consumption, the running time and a preset air-fuel ratio;
calculating the pollutant discharge amount in the exhaust gas discharged by the vehicle according to the exhaust gas discharge amount;
and calculating the carbon emission of the vehicle according to the pollutant emission.
3. The method of claim 2, wherein the step of calculating the fuel consumption of the vehicle based on vehicle information, the travel time, and the road parameter comprises:
calculating the running speed of the vehicle according to the road parameters and the running time;
determining a hundred kilometer fuel consumption value of the vehicle according to the vehicle information and the running speed;
calculating the total oil consumption of the vehicle on the road according to the hundred kilometer oil consumption value and the road parameters;
and calculating the fuel consumption of the vehicle according to the total fuel consumption, the preset gasoline density and the running time.
4. The method of claim 3, wherein the road parameters include a total length of the road, a flat road length, an uphill road length, and a downhill road length;
the step of calculating the travel speed of the vehicle according to the road parameter and the travel time includes: calculating the running speed of the vehicle according to the total length and the running time;
the step of calculating the total oil consumption of the vehicle on the road according to the hundred kilometer oil consumption value and the road parameters comprises the following steps: and calculating the total oil consumption of the vehicle on the road according to the hundred kilometer oil consumption value, the length of the flat road, the length of the uphill road and the length of the downhill road.
5. The method of claim 2, wherein the pollutants in the exhaust emitted by the vehicle include carbon monoxide, carbon dioxide and hydrocarbons, and the step of calculating the amount of pollutants emitted from the exhaust emitted by the vehicle based on the amount of exhaust emitted comprises:
calculating the carbon monoxide emission according to the exhaust emission, a preset carbon monoxide volume ratio and a preset carbon monoxide density;
calculating the discharge amount of carbon dioxide according to the discharge amount of waste gas, a preset volume ratio of carbon dioxide and a preset density of carbon dioxide;
and calculating the hydrocarbon emission according to the exhaust emission, the preset hydrocarbon volume ratio and the preset hydrocarbon density.
6. The method of claim 5, wherein the step of calculating the carbon emissions of the vehicle from the pollutant emissions comprises:
and calculating the carbon emission of the vehicle according to the carbon emission and the carbon content corresponding to the carbon monoxide, the carbon emission and the carbon content corresponding to the carbon dioxide, and the hydrocarbon emission and the carbon content corresponding to the hydrocarbon.
7. The method of claim 1, further comprising:
recording carbon emissions of the vehicle, a time the vehicle entered the road, and a time the vehicle left the road to a carbon emissions database;
rendering the carbon emissions of the vehicle to a geographic information system.
8. A carbon emission monitoring device for calculating the carbon emission of a vehicle traveling on a road, an entrance camera and an exit camera being provided at an entrance and an exit of the road, respectively, the device comprising:
the data acquisition module is used for acquiring first image data acquired by the inlet camera and first shooting time corresponding to the first image data, and acquiring second image data acquired by the outlet camera and second shooting time corresponding to the second image data;
a vehicle identification module, configured to determine vehicle information and a driving time of each vehicle driving on the road according to the first image data, the first shooting time, the second image data, and the second shooting time;
and the data processing module is used for calculating the carbon emission of the vehicle according to the vehicle information, the running time and the road parameters corresponding to the road.
9. A server, characterized in that it comprises a processor and a memory, said memory storing a computer program, said processor implementing the method of any of claims 1-7 when executing said computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of any one of claims 1 to 7.
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