CN112712707A - Vehicle carbon emission monitoring system and method - Google Patents
Vehicle carbon emission monitoring system and method Download PDFInfo
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- CN112712707A CN112712707A CN202011569991.7A CN202011569991A CN112712707A CN 112712707 A CN112712707 A CN 112712707A CN 202011569991 A CN202011569991 A CN 202011569991A CN 112712707 A CN112712707 A CN 112712707A
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- G08G1/00—Traffic control systems for road vehicles
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- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
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Abstract
The invention relates to the technical field of information, and provides a vehicle carbon emission monitoring system and a vehicle carbon emission monitoring method, wherein the system comprises a camera device, a cloud server and a vehicle information database, wherein the camera device is arranged at an entrance and an exit of a preset road section; the camera device is used for collecting vehicle images of vehicles running out of a preset road section and identifying license plates of the collected vehicle images to obtain license plate numbers of the vehicles; the camera device is also used for sending the license plate number to the cloud server; the cloud server is used for acquiring vehicle information corresponding to the license plate number from the vehicle information database; the cloud server is further used for calculating the carbon emission of the vehicle according to the vehicle information. Compared with the prior art, the vehicle license plate is identified through the camera device, the cloud server obtains the vehicle information according to the license plate number, and the carbon emission of the vehicle is automatically calculated, so that the carbon emission information of the vehicle is conveniently shared through the cloud server, and reasonable planning and management on energy conservation and emission reduction are facilitated.
Description
Technical Field
The invention relates to the technical field of information, in particular to a vehicle carbon emission monitoring system and a vehicle carbon emission monitoring method.
Background
According to the annual environmental management annual newspaper of Chinese moving source (2019) published by the ministry of ecological environment, China has become the first major country for the production and sale of motor vehicles in the world for continuous ten years. The pollution of mobile sources such as motor vehicles and the like becomes an important source of atmospheric pollution in China. In 2018, the total emission of four pollutants of motor vehicles in China is preliminarily calculated to be 4065.3 ten thousand tons.
How to effectively monitor the carbon emission of the motor vehicles on the road is of great importance for reasonably planning energy conservation and emission reduction and improving the urban atmospheric quality.
Disclosure of Invention
The invention aims to provide a vehicle carbon emission monitoring system and a vehicle carbon emission monitoring method, which can automatically calculate the carbon emission of a vehicle at a cloud server, so that the carbon emission information of the vehicle can be conveniently shared by the cloud server, and reasonable planning and treatment on energy conservation and emission reduction are facilitated.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
in a first aspect, the invention provides a vehicle carbon emission monitoring system, which comprises a camera device, a cloud server and a vehicle information database, wherein the camera device is arranged at an entrance and an exit of a preset road section; the camera device is used for collecting vehicle images of vehicles running out of the preset road section and identifying license plates of the collected vehicle images to obtain license plate numbers of the vehicles; the camera device is also used for sending the license plate number to a cloud server; the cloud server is used for acquiring vehicle information corresponding to the license plate number from the vehicle information database; the cloud server is further used for calculating the carbon emission of the vehicle according to the vehicle information.
In a second aspect, the invention provides a vehicle carbon emission monitoring method, which is applied to a vehicle carbon emission monitoring system, wherein the vehicle carbon emission monitoring system comprises a camera device, a cloud server and a vehicle information database, and the camera device is arranged at an entrance and an exit of a preset road section; the camera device is used for collecting vehicle images of vehicles running out of the preset road section and identifying license plates of the collected vehicle images to obtain license plate numbers of the vehicles; the camera device also sends the license plate number to a cloud server; the cloud server acquires vehicle information corresponding to the license plate number from the vehicle information database; the cloud server also calculates the carbon emission of the vehicle according to the vehicle information.
Compared with the prior art, the vehicle license plate recognition method and the vehicle license plate recognition system can recognize the license plate through the camera device, send the recognized license plate number to the cloud server, obtain the vehicle information in the vehicle information database according to the license plate number through the cloud server, and automatically calculate the carbon emission of the vehicle, so that the carbon emission information of the vehicle can be conveniently shared through the cloud server, and reasonable planning and treatment on energy conservation and emission reduction are facilitated.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed 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 invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 shows a schematic diagram of a vehicle carbon emission monitoring system provided by an embodiment of the invention.
Fig. 2 is a flowchart illustrating a method for monitoring carbon emissions of a vehicle according to an embodiment of the present invention.
Fig. 3 is a flowchart illustrating sub-steps of step S100 in fig. 2 according to an embodiment of the present invention.
Fig. 4 shows a flowchart of the sub-steps of step S130 in fig. 2 according to an embodiment of the present invention.
Fig. 5 shows another flowchart of the sub-steps of step S130 in fig. 2 according to an embodiment of the present invention.
FIG. 6 is a flow chart illustrating another method for monitoring carbon emissions from a vehicle according to an embodiment of the present invention.
FIG. 7 is a flow chart illustrating another method for monitoring carbon emissions from a vehicle according to an embodiment of the present invention.
FIG. 8 is a flow chart illustrating another method for monitoring carbon emissions from a vehicle according to an embodiment of the present invention.
Icon: 10-a camera device; 20-a cloud server; 30-a vehicle information database; 40-a road information database; 50-a weather information database; 60-mobile terminal.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
In the description of the present invention, it should be noted that if the terms "upper", "lower", "inside", "outside", etc. indicate an orientation or a positional relationship based on that shown in the drawings or that the product of the present invention is used as it is, this is only for convenience of description and simplification of the description, and it does not indicate or imply that the device or the element referred to must have a specific orientation, be constructed in a specific orientation, and be operated, and thus should not be construed as limiting the present invention.
Furthermore, the appearances of the terms "first," "second," and the like, if any, are used solely to distinguish one from another and are not to be construed as indicating or implying relative importance.
It should be noted that the features of the embodiments of the present invention may be combined with each other without conflict.
At present, the domestic monitoring of the carbon emission of the automobile mainly adopts the annual inspection management system of the emission of the tail gas of the urban motor vehicle, the road interception contact type monitoring and the monitoring form of a road automobile tail gas monitoring station. The annual tail gas inspection system requires that all vehicles are subjected to physical examination regularly, whether the emission of automobile tail gas meets the standard or not is monitored, and only vehicles qualified in annual inspection are allowed to run on the road. Road interception monitoring and road automobile exhaust monitoring stations are arranged on roads to monitor exhaust of passing vehicles.
On one hand, the existing monitoring method is too dependent on manual monitoring, special monitoring equipment is needed to monitor the carbon emission of the vehicle, and meanwhile, the calculated carbon emission data of the vehicle is only limited in a specific scene and is not fully shared, so that the information is not easy to check and trace, the analysis and evaluation of the carbon emission are influenced, and the method cannot be effectively applied to reasonable planning and control of energy conservation and emission reduction.
In addition, the domestic video license plate recognition technology is not effectively popularized, a complete interconnected information system is not established, information cannot be effectively acquired so as to be applied to automatic calculation of carbon emission of vehicles, moreover, the current camera device adopts a Dedicated Short Range Communication (DSRC) technology, DSRC cannot share the acquired vehicle information, the vehicle information can only be stored for a Short time, the acquired vehicle information is not shared, and the camera device can only be applied to a certain specific scene, so that great limitation is caused.
In view of this, embodiments of the present invention provide a vehicle carbon emission monitoring system and method, which on one hand automatically calculate carbon emission of a vehicle without relying on a large amount of manual and special monitoring equipment, and simultaneously fully share the calculated vehicle carbon emission data, so as to be maximally applied to energy saving and emission reduction rational planning and control, and on the other hand, use a camera device that can store vehicle functions for a long time and can remotely communicate with a cloud server, thereby promoting further popularization of a video license plate recognition technology, which will be described in detail below.
Referring to fig. 1, fig. 1 is a schematic diagram illustrating a vehicle carbon emission monitoring system according to an embodiment of the present invention, the vehicle carbon emission monitoring system including: the system comprises a camera device 10, a cloud server 20, a vehicle information database 30, a road information database 40, a weather information database 50 and a mobile terminal 60.
The camera device 10 may be a camera, a video camera, or other devices for capturing images of the vehicle, and the camera device 10 may be connected to a network to exchange information with the cloud server 20. As a specific embodiment, the camera device 10 may be an intelligent camera adopting 5G technology, and information exchange with the cloud server 20 may be achieved through 5G communication technology.
The camera device 10 is disposed at an exit and an entrance of the preset road section, and is configured to collect vehicle images of vehicles running out of the preset road section, and perform license plate recognition on the collected vehicle images to obtain license plate numbers of the vehicles. The camera 10 is further configured to send the identified license plate number of the vehicle to the cloud server 20.
The cloud server 20 may be one server, a server group composed of a plurality of servers, an entity server, or a virtual server virtualized by a plurality of entity servers through a virtualization technology. The cloud server 20 is configured to obtain vehicle information corresponding to the license plate number from the vehicle information database 30.
The vehicle information database 30 may be a database in a vehicle management system, a vehicle annual inspection management system, a traffic management system, which stores vehicle information including, but not limited to, license plate numbers, and displacement, type, annual inspection condition, age, etc. of vehicles corresponding to the license plate numbers.
The cloud server 20 is also used to calculate the carbon emissions of the vehicle from the vehicle information.
In this embodiment, in order to make the carbon emission calculation more accurate, the vehicle carbon emission system may further include a road information database 40 and a weather information database 50, and the carbon emission is calculated according to the vehicle condition information in the vehicle information database, the road condition information in the road information database, and the weather information in the weather database, so that the carbon emission finally calculated is more accurate and has a higher reference value.
In this embodiment, in order to enable the owner of the vehicle or the staff of the related department of traffic management to more conveniently obtain the carbon emission information, the vehicle carbon emission system may further include a mobile terminal 60, and the mobile terminal 60 may be a mobile computer device such as a mobile phone, a tablet computer, and a notebook computer.
According to the vehicle carbon emission monitoring system provided by the embodiment of the invention, the number plate is identified when the vehicle drives away from the preset road section through the camera device 10, the identified number plate is sent to the cloud server 20, the cloud server 20 acquires the vehicle information in the vehicle information database according to the number plate, and the carbon emission of the vehicle on the preset road section is automatically calculated, so that the carbon emission information of the vehicle is conveniently shared through the cloud server 20, and the reasonable planning and management of energy conservation and emission reduction are facilitated.
On the basis of fig. 1, an embodiment of the present invention further provides a vehicle carbon emission monitoring system for automatically identifying a license plate, where a camera device 10 performs image or video acquisition on a vehicle passing through an entrance and an exit of a preset road segment in real time, performs image acquisition on one frame of captured video information, digitizes the image to obtain corresponding digital image information, and analyzes the digital image information to determine whether a vehicle passes through, if so, performs license plate identification, and if not, continues to acquire information.
As a specific vehicle recognition method, the imaging device 10 is also configured to:
firstly, vehicle images are preprocessed to obtain initial processed images.
In this embodiment, the initial processed image is a vehicle image obtained by preprocessing the vehicle image, and because factors such as weather, illumination, and angle may have different influences on the acquired digital image, the digital image needs to be preprocessed, where the preprocessing includes, but is not limited to, automatic exposure processing, automatic white balance processing, automatic backlight processing, noise filtering, contrast enhancement, gray scale processing, image scaling, and angle adjustment by the Hough transform method.
And secondly, performing feature extraction on the initial processing image to obtain a license plate region in the initial processing image.
In this embodiment, since the image acquired by the camera device 10 includes not only the license plate image, but also the image of the vehicle itself and the background scene where the vehicle is located at that time, such as a street lamp, a telegraph pole, a house, and the like, it is also necessary to determine the license plate region from the initial processed image, and the determination method may be: the initial processing image is subjected to feature extraction, the features include, but are not limited to, texture, color, size and the like, and the feature extraction technology can be, but is not limited to, gray level adjustment, projection analysis, edge monitoring and the like, so that the license plate is positioned in the whole initial processing image, the license plate area is accurately monitored, and the license plate image is extracted from complex background information.
And finally, extracting characters from the license plate area to obtain the license plate number.
In this embodiment, after the license plate region is determined, the characters of the license plate region are extracted to obtain the character information of the license plate number included in the license plate. As a specific implementation manner, the extracting of the character may include two steps of character segmentation and character recognition:
firstly, character segmentation is carried out on a license plate area to obtain a license plate character image.
In this embodiment, the single character may be extracted respectively according to the structural features of the characters, the similarity between the characters, the character intervals, and other information by using the binarization result or the edge extraction result of the license plate, and the extraction algorithm includes, but is not limited to, connected domain analysis, projection analysis, character clustering, template matching, and the like.
Secondly, character recognition is carried out on the license plate character image to obtain the license plate number.
In this embodiment, the segmented license plate character image is normalized and then subjected to character recognition, and the character recognition algorithm includes, but is not limited to, openCV algorithm, EasyPR algorithm, artificial neural network method, Adaboost classification method, and the like, so as to finally obtain a license plate number, which may be text information of the license plate number.
According to the vehicle carbon emission monitoring system provided by the embodiment of the invention, the intelligent identification of the license plate in the acquired license plate image is realized through the camera device 10 to obtain the license plate number, so that on one hand, the phenomenon that the cloud server is overloaded due to the fact that the cloud server 20 identifies the license plate is avoided, on the other hand, the data transmission quantity between the camera device and the cloud server 20 is greatly reduced, the data exchange efficiency between the camera device and the cloud server is improved, meanwhile, the obtained license plate number is identified to be a character-type license plate number, the cloud server can conveniently match corresponding vehicle information quickly according to the license plate number, and the calculation efficiency of vehicle carbon emission is improved.
On the basis of fig. 1, the embodiment further provides a vehicle carbon emission monitoring system for automatically calculating carbon emission of a vehicle, where the vehicle information includes vehicle condition information and a mileage length of the vehicle traveling on a preset road segment, and the manner of calculating the carbon emission of the vehicle by the cloud server 20 may be:
first, an emission coefficient is calculated from vehicle condition information.
In the present embodiment, the vehicle condition information includes, but is not limited to, displacement, age, self weight, engine parameters, and the like. Different weights can be given to different vehicle condition information according to the test and empirical values, a prediction model can also be established, parameters of the prediction model are optimized according to the actual values of the vehicle conditions and the carbon emission, and finally the prediction model for predicting the carbon emission coefficient according to the vehicle condition information is obtained.
And secondly, calculating the carbon emission of the vehicle according to the emission coefficient and the mileage length.
In the present embodiment, the mileage length is an actual distance traveled by the vehicle on a preset road segment, and the carbon emission of the vehicle can be calculated using the following formula:
carbon emissions-mileage emission factor.
According to the vehicle carbon emission monitoring system provided by the embodiment of the invention, the emission coefficient is obtained according to different dimensions of vehicle condition information, and the carbon emission of the vehicle is finally calculated according to the emission coefficient and the mileage length, so that the finally calculated carbon emission is more accurate and is closer to the actual carbon emission value.
In this embodiment, in addition to that the information of the vehicle itself may affect the carbon emission, the road condition information and the weather information may also affect the carbon emission, in order to make the calculated carbon emission more accurate, this embodiment further provides another vehicle carbon emission monitoring system for calculating an emission coefficient, the system further includes a road information database and a weather information database, the road condition information of the preset road section is obtained from the road information database, the weather information of the current day is obtained from the weather information database, the emission coefficient is calculated according to the road condition information, the weather information and the vehicle condition information, and the more accurate carbon emission is finally calculated according to the emission coefficient and the mileage length.
As a specific implementation manner, the manner of calculating the emission coefficient by the cloud server may be:
first, road condition information of a preset road section is obtained from a road information database.
In this embodiment, the road information database may be a database of a traffic management system, in which various road condition information of a preset road section is stored, for example, a slope, a number of curves, a camber of a road, a congestion degree, a road surface flatness, and the like.
Secondly, current weather information is obtained from a weather information database.
In this embodiment, the weather information database may be a database of weather information shared to the outside provided by the meteorological department, and the weather information includes temperature, humidity, PM2.5, and the like.
And finally, calculating the emission coefficient according to the vehicle information, the road condition information and the weather information.
In this embodiment, the method for calculating the emission coefficient according to the vehicle condition information, the road condition information, and the weather information is similar to the method for calculating the emission coefficient according to different dimensions of the vehicle condition information, and is not described herein again.
In this embodiment, in order to obtain carbon emission of a preset road section according to carbon emission of a vehicle, analyze the carbon emission of the preset road section, and finally provide a corresponding energy saving and emission reduction measure, an embodiment of the present invention further provides another vehicle carbon emission monitoring system, where the system calculates the carbon emission of the preset road section by using a cloud server, and the way for the cloud server to calculate the carbon emission may be:
and calculating the sum of the carbon emissions of all vehicles driving out of the preset road section in the preset period to obtain the carbon emission of the preset road section.
In this embodiment, the preset period may be set according to actual needs, for example, the preset period may be one hour, one day, one week, one month, or the like. Taking the preset period as one hour as an example, the cloud server acquires carbon emissions of all vehicles which have exited the preset road section within the last one hour, and sums the carbon emissions to obtain the carbon emissions of the preset road section.
In this embodiment, in order to more intuitively display the carbon emission condition of the preset road section, the embodiment of the invention further provides another vehicle carbon emission monitoring system, wherein a cloud server stores a GIS map, and the GIS is also called a geographic information system and is a specific very important spatial information system. The system is a technical system for collecting, storing, managing, operating, analyzing, displaying and describing relevant geographic distribution data in the whole or partial earth surface (including the atmosphere) space under the support of a computer hardware and software system. Therefore, the GIS map can vividly present the information of multiple dimensions of the space, and the cloud server of the vehicle carbon emission monitoring system is also used for rendering the carbon emission of the preset road section to the GIS map in real time for display, so that the carbon emission is displayed more visually and specifically.
In this embodiment, the carbon emission displayed on the GIS map may be updated according to the carbon emission of the preset road segment calculated at the preset period, so as to achieve the purpose of displaying the carbon emission of the preset road segment.
It should be noted that rendering a GIS map with carbon emission may also be synchronized to a traffic management platform to facilitate further sharing of carbon emission information, where the platform includes multiple vehicles and traffic information, such as vehicle basic conditions, annual inspection information, violation information, road congestion conditions, weather, traffic control information, information providing carbon emission during vehicle driving, and carbon emission information of all vehicles in a certain road segment. The vehicle driver can check the traffic condition of the vehicle through the cloud server 20 or the traffic management platform, the traffic management department can monitor the road traffic condition and take corresponding control measures through the cloud server 20 or the traffic management platform, and the city management department can monitor the carbon emission pollution and the treatment condition through the cloud server 20 or the traffic management platform. The platform provides historical retrospective query and data analysis functions.
In this embodiment, in order to enable a user to more conveniently acquire the carbon emission information of the preset road segment, the vehicle carbon emission monitoring system may further include a mobile terminal 60, where the mobile terminal 60 is configured to acquire, from the cloud server, a GIS map that is rendered with the carbon emission of the preset road segment, and display the map.
It should be noted that the mobile terminal 60 may also obtain the carbon emission of the vehicle from the cloud server for the vehicle owner to check, and may also be used for the staff of the transportation department to check, check and analyze, so as to make a reasonable energy-saving and emission-reducing planning strategy.
An embodiment of the present invention further provides a vehicle carbon emission monitoring method applied to the vehicle carbon emission monitoring system in fig. 1, referring to fig. 2, and fig. 2 is a flowchart of the vehicle carbon emission monitoring method provided in the embodiment of the present invention, where the method includes the following steps:
and S100, carrying out vehicle image acquisition on the vehicle running out of the preset road section by the camera device, and carrying out license plate recognition on the acquired vehicle image to obtain the license plate number of the vehicle.
And step S110, the camera device sends the license plate number to a cloud server.
Step S120, the cloud server acquires the vehicle information corresponding to the license plate number from the vehicle information database.
And step S130, the cloud server calculates the carbon emission of the vehicle according to the vehicle information.
On the basis of fig. 2, another vehicle carbon emission monitoring method is further provided in the embodiment of the present invention, referring to fig. 3, fig. 3 is a flowchart of the sub-steps of step S100 in fig. 2, and step S100 further includes the following sub-steps:
in the substep S1001, the image pickup device performs preprocessing on the vehicle image to obtain an initial processed image.
In the substep S1002, the image capturing device performs feature extraction on the initially processed image to obtain a license plate region in the initially processed image.
And in the substep S1003, the image pickup device extracts characters from the license plate region to obtain the license plate number.
As a specific embodiment, the step of extracting the character may be implemented by:
firstly, the image pickup device performs character segmentation on a license plate area to obtain a license plate character image.
And secondly, the camera device performs character recognition on the license plate character image to obtain the license plate number.
Referring to fig. 4, fig. 4 is a flowchart illustrating sub-steps of step S130 in fig. 2, wherein step S130 further includes the following sub-steps:
and in the substep S130-10, the cloud server calculates the emission coefficient according to the vehicle condition information.
And in the substep S130-11, the cloud server calculates the carbon emission of the vehicle according to the emission coefficient and the mileage length.
Referring to fig. 5, fig. 5 is another flowchart illustrating the sub-steps of step S130 in fig. 2, wherein step S130 further includes the following sub-steps:
and in the substep S130-20, the cloud server acquires road condition information of the preset road section from the road information database.
In the substep S130-21, the cloud server obtains the current weather information from the weather information database.
And in the substep S130-22, the cloud server calculates the emission coefficient according to the vehicle information, the road condition information and the weather information.
It should be noted that the sub-steps S130-10 to S130-11 and the sub-steps S130-20 to S130-22 are two different ways of calculating the emission coefficient, and the latter takes into account more factors affecting carbon emission, so that the obtained emission coefficient is more valuable.
On the basis of fig. 2, another vehicle carbon emission monitoring method is further provided in the embodiment of the present invention, referring to fig. 6, the method further includes the following steps:
in step S140, the cloud server calculates the sum of carbon emissions of all vehicles driving out of the preset road section in the preset period, so as to obtain the carbon emission of the preset road section.
On the basis of fig. 6, another vehicle carbon emission monitoring method is further provided in the embodiments of the present invention, referring to fig. 7, the method further includes the following steps:
and S150, the cloud server renders the carbon emission of the preset road section to a GIS map in real time for display.
On the basis of fig. 7, another vehicle carbon emission monitoring method is further provided in the embodiments of the present invention, referring to fig. 8, the method further includes the following steps:
and step S160, the mobile terminal acquires the GIS map with the rendered carbon emission of the preset road section from the cloud server and displays the GIS map.
In summary, the embodiment of the present invention provides a vehicle carbon emission monitoring system and method, where the system includes a camera device, a cloud server, and a vehicle information database, and the camera device is disposed at an entrance and an exit of a preset road section; the camera device is used for collecting vehicle images of vehicles running out of a preset road section and identifying license plates of the collected vehicle images to obtain license plate numbers of the vehicles; the camera device is also used for sending the license plate number to the cloud server; the cloud server is used for acquiring vehicle information corresponding to the license plate number from the vehicle information database; the cloud server is further used for calculating the carbon emission of the vehicle according to the vehicle information. Compared with the prior art, the embodiment of the invention can identify the license plate through the camera device, send the identified license plate number to the cloud server, obtain the vehicle information in the vehicle information database according to the license plate number through the cloud server, and automatically calculate the carbon emission of the vehicle, so that the carbon emission information of the vehicle can be conveniently shared through the cloud server, and the reasonable planning and management of energy conservation and emission reduction are facilitated.
The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. The vehicle carbon emission monitoring system is characterized by comprising a camera device, a cloud server and a vehicle information database, wherein the camera device is arranged at an entrance and an exit of a preset road section;
the camera device is used for collecting vehicle images of vehicles running out of the preset road section and identifying license plates of the collected vehicle images to obtain license plate numbers of the vehicles;
the camera device is also used for sending the license plate number to a cloud server;
the cloud server is used for acquiring vehicle information corresponding to the license plate number from the vehicle information database;
the cloud server is further used for calculating the carbon emission of the vehicle according to the vehicle information.
2. The vehicle carbon emission monitoring system of claim 1,
the camera device is also used for preprocessing the vehicle image to obtain an initial processing image;
the camera device is also used for extracting the characteristics of the initial processing image to obtain a license plate area in the initial processing image;
the camera device is also used for extracting characters from the license plate area to obtain the license plate number.
3. The vehicle carbon emission monitoring system of claim 2,
the camera device is also used for carrying out character segmentation on the license plate area to obtain a license plate character image;
the camera device is also used for carrying out character recognition on the license plate character image to obtain the license plate number.
4. The vehicle carbon emission monitoring system of claim 1, wherein the vehicle information includes vehicle condition information and a mileage length traveled by the vehicle over the preset road segment;
the cloud server is further used for calculating an emission coefficient according to the vehicle condition information;
the cloud server is further used for calculating the carbon emission of the vehicle according to the emission coefficient and the mileage length.
5. The vehicle carbon emission monitoring system of claim 1, further comprising a road information database and a weather information database;
the cloud server is further used for acquiring road condition information of the preset road section from the road information database;
the cloud server is further used for acquiring current weather information from the weather information database;
the cloud server is further used for calculating an emission coefficient according to the vehicle information, the road condition information and the weather information.
6. The vehicle carbon emission monitoring system of claim 1,
the cloud server is further used for calculating the sum of carbon emissions of all vehicles running out of the preset road section in a preset period to obtain the carbon emission of the preset road section.
7. The vehicle carbon emission monitoring system of claim 6, wherein the cloud server stores a GIS map;
and the cloud server is also used for rendering the carbon emission of the preset road section to a GIS map in real time for display.
8. The vehicle carbon emission monitoring system of claim 7, further comprising a mobile terminal;
and the mobile terminal is used for acquiring and displaying the GIS map rendered with the carbon emission of the preset road section from the cloud server.
9. The vehicle carbon emission monitoring method is characterized by being applied to a vehicle carbon emission monitoring system, wherein the vehicle carbon emission monitoring system comprises a camera device, a cloud server and a vehicle information database, and the camera device is arranged at an entrance and an exit of a preset road section;
the camera device is used for collecting vehicle images of vehicles running out of the preset road section and identifying license plates of the collected vehicle images to obtain license plate numbers of the vehicles;
the camera device also sends the license plate number to a cloud server;
the cloud server acquires vehicle information corresponding to the license plate number from the vehicle information database;
the cloud server also calculates the carbon emission of the vehicle according to the vehicle information.
10. The method for monitoring carbon emissions of a vehicle according to claim 9, wherein the step of performing license plate recognition on the captured image of the vehicle by the camera to obtain the license plate number of the vehicle comprises:
the camera device also preprocesses the vehicle image to obtain an initial processing image;
the camera device also extracts the characteristics of the initial processing image to obtain a license plate area in the initial processing image;
and the camera device also extracts characters from the license plate area to obtain the license plate number.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114500811A (en) * | 2022-02-09 | 2022-05-13 | 山东慧联新雨物联网科技有限公司 | Comprehensive information system based on M station tail gas exceeds standard vehicle maintenance process monitoring |
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