CN111524344A - Vehicle emission monitoring method, device, storage medium and device based on big data - Google Patents
Vehicle emission monitoring method, device, storage medium and device based on big data Download PDFInfo
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Abstract
The invention relates to the technical field of big data monitoring, and discloses a vehicle emission monitoring method, device, storage medium and device based on big data. According to the invention, when a vehicle emission monitoring instruction is received, vehicle running information of a target vehicle in a preset time period is acquired; extracting current vehicle characteristic information and current traffic flow information in the vehicle driving information; searching vehicle emission information corresponding to the current vehicle characteristic information; and obtaining target emission information of a preset road section according to the vehicle emission information and the current traffic flow information, so that corresponding vehicle emission information is obtained through the current vehicle characteristic information, detailed analysis of each vehicle is realized, corresponding vehicle emission is adopted for different types of vehicles for processing, and compared with rough estimation of emission through traffic flow, the accuracy of vehicle emission monitoring is improved.
Description
Technical Field
The invention relates to the technical field of big data monitoring, in particular to a vehicle emission monitoring method, vehicle emission monitoring equipment, a storage medium and a vehicle emission monitoring device based on big data.
Background
The automobile exhaust gas is exhaust gas generated when an automobile is used, and contains hundreds of different compounds, wherein pollutants comprise solid suspended particles, carbon monoxide, carbon dioxide, hydrocarbon, oxynitride, lead, sulfur oxide and the like, and the automobile exhaust gas brings great harm to human beings and ecological environment;
in order to limit the emission of automobile exhaust by laws and regulations, the aim of detecting the environment is fulfilled by monitoring the exhaust information of a preset road section in real time;
however, at present, the vehicle emission is estimated simply by collecting the traffic flow of the current road section, so that the vehicle emission with a large error is obtained, and the environment is detected by the sensor.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a vehicle emission monitoring method, equipment, a storage medium and a device based on big data, and aims to improve the accuracy of vehicle emission monitoring based on big data.
In order to achieve the above object, the present invention provides a vehicle emission monitoring method based on big data, which includes the following steps:
when a vehicle emission monitoring instruction is received, vehicle running information of a target vehicle in a preset time period is acquired;
extracting current vehicle characteristic information and current traffic flow information in the vehicle driving information;
searching vehicle emission information corresponding to the current vehicle characteristic information;
and obtaining target emission information of a preset road section according to the vehicle emission information and the current traffic flow information.
Preferably, the obtaining of the target emission information of the preset road section according to the vehicle emission information and the current traffic flow information includes:
extracting vehicle emission constant information in the vehicle emission information;
obtaining vehicle emission rate information according to the vehicle emission constant information;
and acquiring the road section length information and the vehicle quantity information of the preset road section, and acquiring the target emission information of the preset road section according to the vehicle emission rate information, the road section length information, the vehicle quantity information and the current traffic flow information.
Preferably, the obtaining of the vehicle emission rate information according to the vehicle emission constant information includes:
acquiring traffic flow speed information corresponding to current traffic flow information;
obtaining vehicle emission rate information by adopting the following formula according to the traffic flow speed information and the vehicle emission constant information;
where ROP denotes vehicle emission rate information, A, B and C denote vehicle emission constant information, and v denotes traffic speed information.
Preferably, the obtaining of the traffic speed information corresponding to the current traffic information includes:
obtaining the blocking density and the free flow speed of the target vehicle on a preset road section;
obtaining traffic flow speed information by adopting the following formula according to the blocking density, the free flow speed and the current traffic flow information;
wherein Q represents current vehicle flow information, KjIndicates the density of blocking, vfRepresenting the free flow velocity.
Preferably, before obtaining the target emission information of the preset road section according to the vehicle emission information and the current traffic flow information, the method further includes:
obtaining vehicle emission information corresponding to the current vehicle characteristic information by adopting a preset vehicle emission model according to the current vehicle characteristic information;
correspondingly, before the vehicle emission information corresponding to the current vehicle characteristic information is obtained by adopting a preset vehicle emission model according to the current vehicle characteristic information, the method further comprises the following steps:
acquiring historical vehicle characteristic information and vehicle emission information corresponding to the historical vehicle characteristic information;
generating feature vector information according to the historical vehicle feature information and vehicle emission information corresponding to the historical vehicle feature information, and inputting the feature vector information into a convolutional neural network for training to obtain a preset vehicle emission model.
Preferably, the extracting the current vehicle characteristic information and the current traffic flow information in the vehicle driving information includes:
extracting preset area information of each vehicle in the vehicle running information, and identifying mark information of each vehicle according to the preset area information;
searching the unique characteristic information of the vehicle corresponding to the mark information in the preset vehicle big data platform according to the mark information;
and extracting current vehicle characteristic information in the vehicle driving information according to the unique characteristic information, and extracting current traffic flow information in the vehicle driving information.
Preferably, after obtaining the target emission information of the preset road section according to the vehicle emission information and the current traffic flow information, the method further includes:
acquiring vehicle emission limit information in the preset vehicle big data platform;
and comparing the vehicle emission limit information with the target emission information, and displaying warning information that the vehicle emission exceeds the standard when the target emission information exceeds the vehicle emission limit information.
In addition, to achieve the above object, the present invention also provides a big data based vehicle emission monitoring apparatus, including: a memory, a processor, and a big-data based vehicle emissions monitoring program stored on the memory and running on the processor, the big-data based vehicle emissions monitoring program when executed by the processor implementing the steps of the big-data based vehicle emissions monitoring method as described above.
In addition, to achieve the above object, the present invention further provides a storage medium having stored thereon a big data-based vehicle emission monitoring program, which when executed by a processor, implements the steps of the big data-based vehicle emission monitoring method as described above.
In addition, in order to achieve the above object, the present invention further provides a big data based vehicle emission monitoring device, including:
the acquisition module is used for acquiring vehicle running information of a target vehicle within a preset time period when a vehicle emission monitoring instruction is received;
the extraction module is used for extracting current vehicle characteristic information and current traffic flow information in the vehicle driving information;
the searching module is used for searching vehicle emission information corresponding to the current vehicle characteristic information;
the acquisition module is further used for acquiring target emission information of a preset road section according to the vehicle emission information and the current traffic flow information.
According to the technical scheme provided by the invention, when a vehicle emission monitoring instruction is received, vehicle running information of a target vehicle in a preset time period is obtained; extracting current vehicle characteristic information and current traffic flow information in the vehicle driving information; searching vehicle emission information corresponding to the current vehicle characteristic information; and obtaining target emission information of a preset road section according to the vehicle emission information and the current traffic flow information, so that corresponding vehicle emission information is obtained through the current vehicle characteristic information, detailed analysis of each vehicle is realized, corresponding vehicle emission is adopted for different types of vehicles for processing, and compared with rough estimation of emission through traffic flow, the accuracy of vehicle emission monitoring is improved.
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FIG. 1 is a schematic diagram of a big data based vehicle emission monitoring device of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a first embodiment of a big data based vehicle emission monitoring method of the present invention;
FIG. 3 is a schematic flow chart of a second embodiment of a big data based vehicle emission monitoring method of the present invention;
FIG. 4 is a schematic flow chart diagram of a third embodiment of a big data based vehicle emission monitoring method of the present invention;
FIG. 5 is a block diagram of a first embodiment of a big data based vehicle emission monitoring apparatus according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a vehicle emission monitoring device based on big data of a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the big-data based vehicle emission monitoring apparatus may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), the optional user interface 1003 may also include a standard wired interface and a wireless interface, and the wired interface of the user interface 1003 may be a Universal Serial Bus (USB) interface in the present invention. The network interface 1004 may optionally include a standard wired interface as well as a wireless interface (e.g., WI-FI interface). The Memory 1005 may be a high speed Random Access Memory (RAM); or a stable Memory, such as a Non-volatile Memory (Non-volatile Memory), and may be a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in FIG. 1 does not constitute a limitation of a large data based vehicle emission monitoring apparatus, and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is one type of computer storage medium, may include an operating system, a network communication module, a user interface module, and a big data based vehicle emissions monitoring program therein.
In the big data-based vehicle emission monitoring device shown in fig. 1, the network interface 1004 is mainly used for connecting with a background server and performing data communication with the background server; the user interface 1003 is mainly used for connecting peripheral equipment; the big data-based vehicle emission monitoring apparatus calls a big data-based vehicle emission monitoring program stored in the memory 1005 through the processor 1001 and performs the big data-based vehicle emission monitoring method provided by the embodiment of the present invention.
Based on the hardware structure, the embodiment of the vehicle emission monitoring method based on the big data is provided.
Referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the big data-based vehicle emission monitoring method according to the present invention.
In a first embodiment, the big-data based vehicle emissions monitoring method comprises the steps of:
step S10: and when the vehicle emission monitoring instruction is received, acquiring vehicle running information of the target vehicle within a preset time period.
It should be noted that, the implementation subject of the present embodiment is a vehicle emission monitoring device based on big data, and may also be other devices that can achieve the same or similar functions, such as a vehicle emission monitoring server based on big data.
In this embodiment, the vehicle emission monitoring instruction is a vehicle emission monitoring request based on big data and initiated by a monitoring interface, so as to start monitoring vehicle emission, where the vehicle driving information includes vehicle characteristic information, such as a vehicle type and a specification of a vehicle, and may further include other information, which is not limited in this embodiment.
In specific implementation, a collection system is preset in a preset road section, and vehicle driving information of a current road section, namely event information of the current road section in preset time can be collected through the collection system, so that effective analysis is facilitated.
Step S20: and extracting current vehicle characteristic information and current traffic flow information in the vehicle driving information.
It can be understood that the current traffic flow information is the number of vehicles passing through the preset road section in the preset time period, and the driving condition of the vehicles on the current road section can be obtained through the acquired current traffic flow information, so that the accurate vehicle emission amount can be obtained conveniently.
In a specific implementation, in order to extract current vehicle characteristic information in the vehicle driving information, the mark information of each vehicle is identified according to preset area information by extracting the preset area information of each vehicle in the vehicle driving information; searching the unique characteristic information of the vehicle corresponding to the mark information in the preset vehicle big data platform according to the mark information; and extracting current vehicle characteristic information in the vehicle driving information according to the unique characteristic information, and extracting current traffic flow information in the vehicle driving information.
In this embodiment, the preset area information is preset area information of a vehicle head and preset area information of a vehicle tail, the brand information of the vehicle can be obtained through the preset area information of the vehicle head, for example, the center of the vehicle head, and the specific model information of the vehicle can be obtained through the preset area information of the vehicle tail, that is, the brand information and the specific model information are used as the mark information, and the unique characteristic information of the vehicle corresponding to the mark information is searched in the preset vehicle big data platform according to the mark information.
It should be noted that after each vehicle leaves the factory, corresponding characteristic information may be generated according to different vehicle types, for example, english vehicle type information of a corresponding model is set on the right side of the vehicle tail, or a unique vehicle lamp design and a vehicle body design, corresponding unique characteristic information may be obtained according to the mark information, and the unique characteristic information is compared with a comparison table of the mark information and the characteristic information recorded in a preset vehicle big data platform in advance, so as to obtain unique characteristic information of the vehicle corresponding to the mark information, thereby obtaining current vehicle characteristic information of a current road section more accurately.
In order to extract the current traffic flow information in the vehicle driving information, a traffic flow sensor arranged on a current road section can be called, and the current traffic flow information in the vehicle driving information is extracted through the traffic flow sensor.
In a specific implementation, in order to implement data management, corresponding management can be performed on different pieces of data information through a preset tag, and when current traffic flow information in the vehicle driving information is extracted, the current traffic flow information in the vehicle driving information is extracted through the tag information by obtaining the tag information of the traffic flow information.
Step S30: and searching vehicle emission information corresponding to the current vehicle characteristic information.
In this embodiment, vehicle emission information corresponding to the current vehicle characteristic information is searched for through big data analysis based on a preset vehicle big data platform, where the vehicle emission information includes an emission rate or emission amount information corresponding to each vehicle, and may further include other parameter information, which is not limited in this embodiment.
Step S40: and obtaining target emission information of a preset road section according to the vehicle emission information and the current traffic flow information.
In specific implementation, the target emission information is obtained by calculating the vehicle emission information and the current traffic flow information, and the target emission information can be obtained by a preset vehicle emission model through a preset vehicle emission model established in advance, so that the accuracy of vehicle emission monitoring is improved.
According to the scheme, when the vehicle emission monitoring instruction is received, the vehicle running information of the target vehicle in the preset time period is acquired; extracting current vehicle characteristic information and current traffic flow information in the vehicle driving information; searching vehicle emission information corresponding to the current vehicle characteristic information; and obtaining target emission information of a preset road section according to the vehicle emission information and the current traffic flow information, so that corresponding vehicle emission information is obtained through the current vehicle characteristic information, detailed analysis of each vehicle is realized, corresponding vehicle emission is adopted for different types of vehicles for processing, and compared with rough estimation of emission through traffic flow, the accuracy of vehicle emission monitoring is improved.
Referring to fig. 3, fig. 3 is a schematic flow chart of a second embodiment of the big data-based vehicle emission monitoring method according to the present invention, and the second embodiment of the big data-based vehicle emission monitoring method according to the present invention is proposed based on the first embodiment shown in fig. 2.
In the second embodiment, the step S40 includes:
and step S401, extracting vehicle emission constant information in the vehicle emission information.
It should be noted that the vehicle emission information is obtained by searching the current vehicle characteristic information through a preset vehicle big data platform, and the vehicle emission information includes vehicle emission constant information, and since each vehicle corresponds to the vehicle emission constant information belonging to the current vehicle, the vehicle emission constant information in the vehicle emission information, such as vehicle emission constant information A, B and C, is extracted.
And step S402, obtaining vehicle emission rate information according to the vehicle emission constant information.
The step S402 includes:
acquiring traffic flow speed information corresponding to current traffic flow information; obtaining vehicle emission rate information by adopting the following formula according to the traffic flow speed information and the vehicle emission constant information;
where ROP denotes vehicle emission rate information, A, B and C denote vehicle emission constant information, and v denotes traffic speed information.
Step S403, obtaining the road section length information and the vehicle quantity information of the preset road section, and obtaining the target emission information of the preset road section according to the vehicle emission rate information, the road section length information, the vehicle quantity information, and the current traffic flow information.
In a specific implementation, the road section length information and the vehicle quantity information can be obtained through vehicle running information, and the target emission information is obtained through calculation according to the vehicle emission rate information, the road section length information, the vehicle quantity information and the current traffic flow information, namely according to a formula:
where P denotes target emission information, ROP denotes vehicle emission rate information, Q denotes current traffic flow information, L denotes link length information, and i denotes vehicle number information.
Further, the obtaining of the traffic speed information corresponding to the current traffic information includes:
obtaining the blocking density and the free flow speed of the target vehicle on a preset road section; obtaining traffic flow speed information by adopting the following formula according to the blocking density, the free flow speed and the current traffic flow information;
wherein Q represents current vehicle flow information, KjIndicates the density of blocking, vfRepresenting the free flow velocity.
According to the scheme, the characteristic information of the vehicle is obtained by performing detailed analysis on the vehicle running information, the emission information corresponding to each vehicle is obtained according to the characteristic information of the vehicle, and the target emission information of the preset road section is obtained according to the vehicle emission information and the current traffic flow information, so that the more accurate target emission information of the current road section is obtained.
Referring to fig. 4, fig. 4 is a schematic flow chart of a third embodiment of the big data-based vehicle emission monitoring method according to the present invention, and the third embodiment of the big data-based vehicle emission monitoring method according to the present invention is proposed based on the first embodiment or the second embodiment.
In the third embodiment, before the step S40, the method further includes:
and S404, obtaining vehicle emission information corresponding to the current vehicle characteristic information by adopting a preset vehicle emission model according to the current vehicle characteristic information.
Correspondingly, before the step S404, the method further includes:
acquiring historical vehicle characteristic information and vehicle emission information corresponding to the historical vehicle characteristic information; generating feature vector information according to the historical vehicle feature information and vehicle emission information corresponding to the historical vehicle feature information, and inputting the feature vector information into a convolutional neural network for training to obtain a preset vehicle emission model.
In the embodiment, the vehicle emission information can be obtained by presetting a vehicle emission model, so that the vehicle characteristic information is analyzed in multiple dimensions, more accurate vehicle emission information is obtained, and omnibearing vehicle analysis is realized.
Further, after the step S40, the method further includes:
acquiring vehicle emission limit information in the preset vehicle big data platform; and comparing the vehicle emission limit information with the target emission information, and displaying warning information that the vehicle emission exceeds the standard when the target emission information exceeds the vehicle emission limit information.
According to the scheme, the vehicle emission limiting information is compared with the target emission information, and when the target emission information exceeds the vehicle emission limiting information, warning information that the vehicle emission exceeds the standard is displayed, so that the intellectualization of the vehicle emission monitoring equipment is realized.
Furthermore, an embodiment of the present invention further provides a storage medium, on which a big data-based vehicle emission monitoring program is stored, and the big data-based vehicle emission monitoring program, when executed by a processor, implements the steps of the big data-based vehicle emission monitoring method as described above.
Since the storage medium adopts all technical solutions of all the embodiments, at least all the beneficial effects brought by the technical solutions of the embodiments are achieved, and no further description is given here.
In addition, referring to fig. 5, an embodiment of the present invention further provides a big data based vehicle emission monitoring apparatus, including:
the acquiring module 10 is configured to acquire vehicle running information of a target vehicle within a preset time period when a vehicle emission monitoring instruction is received.
In this embodiment, the vehicle emission monitoring instruction is a vehicle emission monitoring request based on big data and initiated by a monitoring interface, so as to start monitoring vehicle emission, where the vehicle driving information includes vehicle characteristic information, such as a vehicle type and a specification of a vehicle, and may further include other information, which is not limited in this embodiment.
In specific implementation, a collection system is preset in a preset road section, and vehicle driving information of a current road section, namely event information of the current road section in preset time can be collected through the collection system, so that effective analysis is facilitated.
And the extraction module 20 is configured to extract current vehicle characteristic information and current traffic flow information in the vehicle driving information.
It can be understood that the current traffic flow information is the number of vehicles passing through the preset road section in the preset time period, and the driving condition of the vehicles on the current road section can be obtained through the acquired current traffic flow information, so that the accurate vehicle emission amount can be obtained conveniently.
In a specific implementation, in order to extract current vehicle characteristic information in the vehicle driving information, the mark information of each vehicle is identified according to preset area information by extracting the preset area information of each vehicle in the vehicle driving information; searching the unique characteristic information of the vehicle corresponding to the mark information in the preset vehicle big data platform according to the mark information; and extracting current vehicle characteristic information in the vehicle driving information according to the unique characteristic information, and extracting current traffic flow information in the vehicle driving information.
In this embodiment, the preset area information is preset area information of a vehicle head and preset area information of a vehicle tail, the brand information of the vehicle can be obtained through the preset area information of the vehicle head, for example, the center of the vehicle head, and the specific model information of the vehicle can be obtained through the preset area information of the vehicle tail, that is, the brand information and the specific model information are used as the mark information, and the unique characteristic information of the vehicle corresponding to the mark information is searched in the preset vehicle big data platform according to the mark information.
It should be noted that after each vehicle leaves the factory, corresponding characteristic information may be generated according to different vehicle types, for example, english vehicle type information of a corresponding model is set on the right side of the vehicle tail, or a unique vehicle lamp design and a vehicle body design, corresponding unique characteristic information may be obtained according to the mark information, and the unique characteristic information is compared with a comparison table of the mark information and the characteristic information recorded in a preset vehicle big data platform in advance, so as to obtain unique characteristic information of the vehicle corresponding to the mark information, thereby obtaining current vehicle characteristic information of a current road section more accurately.
In order to extract the current traffic flow information in the vehicle driving information, a traffic flow sensor arranged on a current road section can be called, and the current traffic flow information in the vehicle driving information is extracted through the traffic flow sensor.
In a specific implementation, in order to implement data management, corresponding management can be performed on different pieces of data information through a preset tag, and when current traffic flow information in the vehicle driving information is extracted, the current traffic flow information in the vehicle driving information is extracted through the tag information by obtaining the tag information of the traffic flow information.
And the searching module 30 is used for searching the vehicle emission information corresponding to the current vehicle characteristic information.
In this embodiment, vehicle emission information corresponding to the current vehicle characteristic information is searched for through big data analysis based on a preset vehicle big data platform, where the vehicle emission information includes an emission rate or emission amount information corresponding to each vehicle, and may further include other parameter information, which is not limited in this embodiment.
The obtaining module 10 is further configured to obtain target emission information of a preset road segment according to the vehicle emission information and the current traffic flow information.
In specific implementation, the target emission information is obtained by calculating the vehicle emission information and the current traffic flow information, and the target emission information can be obtained by a preset vehicle emission model through a preset vehicle emission model established in advance, so that the accuracy of vehicle emission monitoring is improved.
According to the scheme, when the vehicle emission monitoring instruction is received, the vehicle running information of the target vehicle in the preset time period is acquired; extracting current vehicle characteristic information and current traffic flow information in the vehicle driving information; searching vehicle emission information corresponding to the current vehicle characteristic information; and obtaining target emission information of a preset road section according to the vehicle emission information and the current traffic flow information, so that corresponding vehicle emission information is obtained through the current vehicle characteristic information, detailed analysis of each vehicle is realized, corresponding vehicle emission is adopted for different types of vehicles for processing, and compared with rough estimation of emission through traffic flow, the accuracy of vehicle emission monitoring is improved.
The vehicle emission monitoring device based on big data adopts all technical schemes of all the embodiments, so that the vehicle emission monitoring device at least has all beneficial effects brought by the technical schemes of the embodiments, and details are not repeated herein.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A big data based vehicle emission monitoring method, comprising the steps of:
when a vehicle emission monitoring instruction is received, vehicle running information of a target vehicle in a preset time period is acquired;
extracting current vehicle characteristic information and current traffic flow information in the vehicle driving information;
searching vehicle emission information corresponding to the current vehicle characteristic information;
and obtaining target emission information of a preset road section according to the vehicle emission information and the current traffic flow information.
2. The big-data-based vehicle emission monitoring method according to claim 1, wherein the obtaining of the target emission information of the preset road segment according to the vehicle emission information and the current traffic flow information comprises:
extracting vehicle emission constant information in the vehicle emission information;
obtaining vehicle emission rate information according to the vehicle emission constant information;
acquiring the road section length information and the vehicle quantity information of the preset road section, and acquiring the target emission information of the preset road section according to the vehicle emission rate information, the road section length information, the vehicle quantity information and the current traffic flow information.
3. The big-data based vehicle emission monitoring method of claim 2, wherein the deriving vehicle emission rate information from the vehicle emission constant information comprises:
acquiring traffic flow speed information corresponding to current traffic flow information;
obtaining vehicle emission rate information by adopting the following formula according to the traffic flow speed information and the vehicle emission constant information;
where ROP denotes vehicle emission rate information, A, B and C denote vehicle emission constant information, and v denotes traffic speed information.
4. The big-data-based vehicle emission monitoring method according to claim 3, wherein the obtaining of the traffic speed information corresponding to the current vehicle flow information comprises:
obtaining the blocking density and the free flow speed of the target vehicle on a preset road section;
obtaining traffic flow speed information by adopting the following formula according to the blocking density, the free flow speed and the current traffic flow information;
wherein Q represents current vehicle flow information, KjIndicates the density of blocking, vfRepresenting the free flow velocity.
5. The big-data-based vehicle emission monitoring method according to any one of claims 1 to 4, wherein before obtaining the target emission information of the preset road segment according to the vehicle emission information and the current traffic flow information, the method further comprises:
obtaining vehicle emission information corresponding to the current vehicle characteristic information by adopting a preset vehicle emission model according to the current vehicle characteristic information;
correspondingly, before the vehicle emission information corresponding to the current vehicle characteristic information is obtained by adopting a preset vehicle emission model according to the current vehicle characteristic information, the method further comprises the following steps:
acquiring historical vehicle characteristic information and vehicle emission information corresponding to the historical vehicle characteristic information;
generating feature vector information according to the historical vehicle feature information and vehicle emission information corresponding to the historical vehicle feature information, and inputting the feature vector information into a convolutional neural network for training to obtain a preset vehicle emission model.
6. The big-data-based vehicle emission monitoring method according to any one of claims 1 to 4, wherein the extracting current vehicle characteristic information and current traffic flow information in the vehicle driving information includes:
extracting preset area information of each vehicle in the vehicle running information, and identifying mark information of each vehicle according to the preset area information;
searching the unique characteristic information of the vehicle corresponding to the mark information in the preset vehicle big data platform according to the mark information;
and extracting current vehicle characteristic information in the vehicle driving information according to the unique characteristic information, and extracting current traffic flow information in the vehicle driving information.
7. The big-data-based vehicle emission monitoring method according to any one of claims 1 to 4, wherein after obtaining target emission information of a preset road segment according to the vehicle emission information and the current traffic flow information, the method further comprises:
acquiring vehicle emission limit information in the preset vehicle big data platform;
and comparing the vehicle emission limit information with the target emission information, and displaying warning information that the vehicle emission exceeds the standard when the target emission information exceeds the vehicle emission limit information.
8. A big-data based vehicle emissions monitoring device, comprising: a memory, a processor, and a big-data based vehicle emissions monitoring program stored on the memory and running on the processor, the big-data based vehicle emissions monitoring program when executed by the processor implementing the steps of the big-data based vehicle emissions monitoring method of any of claims 1-7.
9. A storage medium having stored thereon a big-data based vehicle emissions monitoring program that, when executed by a processor, performs the steps of the big-data based vehicle emissions monitoring method of any of claims 1 to 7.
10. A big-data based vehicle emissions monitoring device, comprising:
the acquisition module is used for acquiring vehicle running information of a target vehicle within a preset time period when a vehicle emission monitoring instruction is received;
the extraction module is used for extracting current vehicle characteristic information and current traffic flow information in the vehicle driving information;
the searching module is used for searching vehicle emission information corresponding to the current vehicle characteristic information;
the acquisition module is further used for acquiring target emission information of a preset road section according to the vehicle emission information and the current traffic flow information.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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