CN116543565A - Vehicle identity recognition processing method, system and medium - Google Patents

Vehicle identity recognition processing method, system and medium Download PDF

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Publication number
CN116543565A
CN116543565A CN202310420075.4A CN202310420075A CN116543565A CN 116543565 A CN116543565 A CN 116543565A CN 202310420075 A CN202310420075 A CN 202310420075A CN 116543565 A CN116543565 A CN 116543565A
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CN
China
Prior art keywords
vehicle
station
information
identified
identification
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CN202310420075.4A
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Chinese (zh)
Inventor
夏国洪
刘水红
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Easy Tong Sharing Technology Guangzhou Co ltd
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Easy Tong Sharing Technology Guangzhou Co ltd
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Priority to CN202310420075.4A priority Critical patent/CN116543565A/en
Publication of CN116543565A publication Critical patent/CN116543565A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/017Detecting movement of traffic to be counted or controlled identifying vehicles
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60RVEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R16/00Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
    • B60R16/02Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
    • B60R16/023Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
    • B60R16/0231Circuits relating to the driving or the functioning of the vehicle
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/40Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
    • H04W4/44Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]

Abstract

The application provides a vehicle identification processing method, a vehicle identification processing system and a vehicle identification medium. Acquiring a vehicle identification card identifier and first identity information of a vehicle to be identified, which are sent by a vehicle monitoring device, through a cloud monitoring system; acquiring a target vehicle matched with a vehicle identity card identifier of a vehicle to be identified and an identifier of the target vehicle, and determining second identity information corresponding to the identifier of the target vehicle in a pre-stored information base according to the identifier of the target vehicle; and carrying out matching processing on the first identity information and the second identity information, obtaining a matching processing result, and determining whether the vehicle to be identified is a legal vehicle or not according to the matching processing result. By using the method, the problem of low vehicle identity recognition accuracy caused by weather factors is solved, and the all-weather and full-time air supervision processing of the vehicle is realized while manpower is saved by setting up the virtual monitoring station on the road of the area where the entity station cannot be built.

Description

Vehicle identity recognition processing method, system and medium
Technical Field
The present disclosure relates to the field of vehicle identification processing technologies, and in particular, to a vehicle identification processing method, system, and medium.
Background
With the construction of road routes and the proliferation of vehicle numbers, how to effectively monitor vehicles is a hotspot for research by those skilled in the art.
In the prior art, the identification of the vehicle can be performed by utilizing an automatic license plate recognition technology, a short-range wireless communication technology and an electronic license plate technology so as to perform the supervision processing of the vehicle. The identification and supervision of the vehicle can be realized only by installing corresponding devices and equipment on the road side in the prior art, namely, the identification information of the vehicle is read by the cameras, the automatic railing and the fixedly installed vehicle sensors or the equipment such as the portal frame, the electronic reader and the like which are installed on the road side device so as to finish the identification of the vehicle, and then the supervision can be performed according to the result after the identification, such as fake license car identification and the like.
However, since the identification of the vehicle in the prior art can be realized by means of the road side device and the equipment, the cost input for identifying the vehicle is increased, and in addition, the identification of the vehicle can be affected by the road side device and the equipment, the condition of inaccurate identification of the vehicle can occur, and the vehicle cannot be effectively monitored.
Disclosure of Invention
The application provides a vehicle identity recognition processing method, system and medium, which are used for solving the problems that the vehicle cannot be accurately identified and effectively supervised in all-time and all-weather modes in the prior art.
In a first aspect, the present application provides a method for processing vehicle identification, where the method is applied to a vehicle monitoring system, and the vehicle monitoring system includes: the vehicle monitoring system comprises a vehicle monitoring device, a wireless data communication network system connected with the vehicle monitoring device, a cloud monitoring system connected with the wireless data communication network system, and a Beidou satellite navigation system connected with the wireless data communication network system;
the processing method comprises the following steps:
the cloud monitoring system acquires a vehicle identification card identifier and first identity information of a vehicle to be identified, which are sent by the vehicle monitoring device;
the cloud monitoring system acquires a target vehicle matched with the vehicle identity card identifier of the vehicle to be identified and the identifier of the target vehicle, and determines second identity information corresponding to the identifier of the target vehicle in a vehicle license plate/vehicle-mounted device/user account information base pre-stored in the cloud monitoring system according to the identifier of the target vehicle;
And the cloud monitoring system performs matching processing on the first identity information and the second identity information, obtains a matching processing result, and determines whether the vehicle to be identified is a legal vehicle according to the matching processing result.
In an alternative embodiment, the cloud monitoring system includes: the monitoring and recording and executing module and the communication interface module, the cloud monitoring system obtains a vehicle identification card identifier and first identity information of a vehicle to be identified, which are sent by the vehicle monitoring device, and the monitoring and recording and executing module comprises:
the supervision record and execution module establishes a connection channel for network communication with the vehicle monitoring device by utilizing the communication interface module and a wireless private network communication base station or a public mobile communication base station in the wireless data communication network system;
and the monitoring record and execution module triggers the communication interface module in real time or periodically, and receives the vehicle identification card identification and the first identification information of the vehicle to be identified, which are sent by the central processing unit of the vehicle monitoring device, through the connecting channel.
In an optional specific embodiment, the cloud monitoring system obtains a target vehicle matched with the vehicle identification card identifier of the vehicle to be identified and the identifier of the target vehicle, including:
And the supervision record and execution module traverses the vehicle identity card identifier in a supervision main body/supervisor account value information base pre-stored in the cloud monitoring system, acquires a target vehicle corresponding to the vehicle identity card identifier consistent with the vehicle identity card identifier, and acquires the identifier of the target vehicle.
In an alternative embodiment, the method further comprises:
the supervision record and execution module acquires a target supervision organization to which the identification of the target vehicle belongs and the identification of the target supervision organization from the pre-stored supervision body/supervision machine account value information base according to the identification of the target vehicle;
determining, according to the target vehicle identifier, second identity information corresponding to the target vehicle identifier in a vehicle license plate/vehicle-mounted device/user account information base pre-stored in the cloud monitoring system, where the second identity information includes:
the supervision record and execution module acquires a target vehicle number plate/vehicle-mounted device/user account information base associated with the identification of the target supervision mechanism from a vehicle number plate/vehicle-mounted device/user account information base pre-stored in the cloud monitoring system;
And the supervision record and execution module acquires second identity information corresponding to the identification of the target vehicle from the target vehicle license plate/vehicle-mounted device/user account information base.
In an optional specific embodiment, the first identity information and the second identity information respectively include at least: vehicle number plate, vehicle type, frame number, engine number, and mobile terminal identification.
In an optional specific embodiment, the determining, according to the matching result, whether the vehicle to be identified is a legal vehicle includes:
if the matching processing result is complete matching, determining that the vehicle to be identified is a legal vehicle;
or alternatively, the process may be performed,
and if the matching processing result is that the complete matching is not complete matching, determining that the vehicle to be identified is an illegal vehicle.
In an optional embodiment, the cloud monitoring system further includes: the vehicle driving track information acquisition module, the method further comprises:
the monitoring record and execution module triggers the vehicle running track information acquisition module to receive the running information of the vehicle to be identified, which is sent by the vehicle monitoring device, so that a monitoring mechanism monitors the vehicle to be identified according to the running information;
Wherein the travel information includes: position coordinates, direction of travel, travel time, speed, and acceleration.
In an alternative embodiment, the method further comprises:
and the vehicle running track information acquisition module compares the position coordinates fed back by the Beidou satellite communication base station in the wireless data communication network with the position coordinates in the running information to acquire the compared position coordinates, and calibrates the running track of the vehicle to be identified according to the compared position coordinates.
In an optional embodiment, the cloud monitoring system further includes: the virtual station module/dynamic update module, the method further comprises:
the virtual station module/dynamic updating module determines an entity station and a virtual station on the road side where the vehicle to be identified is driven, and station information of the entity station and station information of the virtual station according to the position coordinates of the vehicle to be identified and the driving direction of the vehicle to be identified, and displays the station information of the entity station and the station information of the virtual station on the electronic map so as to complete all-time and all-weather supervision processing of the vehicle to be identified;
Wherein, the entity station and the virtual station respectively at least comprise: toll station, inspection station and monitoring station;
the site information of the entity station and the site information of the virtual station respectively include: the road section name code of the entrance and the exit, the name code of the entrance and the mileage between the coordinate point and the entrance.
In an alternative embodiment, the method further comprises:
the virtual station module/dynamic updating module determines a deviation value between the virtual station and the physical station by utilizing a coordinate point in the station information of the physical station and the running direction of the vehicle to be identified, and adjusts the station information of the virtual station by utilizing the deviation value to acquire updated station information of the virtual station;
and the virtual station module/dynamic updating module updates the virtual station database in the virtual station module/dynamic updating module by utilizing the updated site information of the virtual station, acquires the updated virtual station database, and updates the site information of the virtual station on the electronic map according to the updated virtual station database.
In a second aspect, the present application provides a vehicle monitoring system comprising: the vehicle monitoring device, a wireless data communication network system connected with the vehicle monitoring device, a cloud monitoring system connected with the wireless data communication network system, and a Beidou satellite navigation system connected with the wireless data communication network system; the cloud monitoring system is used for triggering a communication interface module of the cloud monitoring system to acquire a vehicle identity card identifier and first identity information of a vehicle to be identified, which are sent by the vehicle monitoring device;
The cloud monitoring system is used for carrying out matching processing on the vehicle identification card identification of the vehicle to be identified, obtaining a target vehicle corresponding to the vehicle identification card identification and the identification of the target vehicle, and determining second identification information corresponding to the target vehicle identification in a vehicle license plate/vehicle-mounted device/user account information base pre-stored in the cloud monitoring system according to the target vehicle identification;
the cloud monitoring system is used for carrying out matching processing on the first identity information and the second identity information, obtaining a matching processing result and determining whether the vehicle to be identified is a legal vehicle or not according to the matching processing result.
In a third aspect, the present application provides a server, the server comprising: a processor, and a memory communicatively coupled to the processor;
the memory stores computer-executable instructions;
the processor executes computer-executable instructions stored by the memory to implement the method as described in the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium having stored therein computer-executable instructions which, when executed by a processor, implement the method of any of the first aspects.
The application provides a processing method, a system and a medium for vehicle identification, wherein the processing method is applied to a vehicle monitoring system, and the vehicle monitoring system comprises the following steps: the vehicle monitoring system comprises a vehicle monitoring device, a wireless data communication network system connected with the vehicle monitoring device, a cloud monitoring system connected with the wireless data communication network system, and a Beidou satellite navigation system connected with the wireless data communication network system. Acquiring a vehicle identity card identifier and first identity information of a vehicle to be identified, which are sent by the vehicle monitoring device, through the cloud monitoring system; the cloud monitoring system acquires a target vehicle matched with the vehicle identity card identifier of the vehicle to be identified and the identifier of the target vehicle, and determines second identity information corresponding to the identifier of the target vehicle in a vehicle license plate/vehicle-mounted device/user account information base pre-stored in the cloud monitoring system according to the identifier of the target vehicle; and the cloud monitoring system performs matching processing on the first identity information and the second identity information, obtains a matching processing result, and determines whether the vehicle to be identified is a legal vehicle according to the matching processing result. Compared with the prior art, the method and the device have the advantages that the identification processing of the vehicle is realized on the basis of the information provided by the vehicle-mounted monitoring device and the mobile terminal information without the aid of the road side device and the device, the cost for installing the road side device and the device is saved, the problem that the identification of the vehicle is not accurate enough due to weather factors is solved, and the all-weather identification processing of the vehicle is realized; in addition, by using the method, a virtual monitoring station, namely a virtual station, can be set up on the road of the area where the physical station cannot be set up, so that the vehicle is monitored and processed in the whole road section, the setting up of the virtual station does not need the guard of related staff, and the monitoring and processing of the whole time space of the vehicle is realized while the manpower is saved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief description will be given below of the drawings that are needed in the embodiments or the prior art descriptions, it being obvious that the drawings in the following description are some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort to a person skilled in the art.
Fig. 1 is a schematic diagram of a network architecture of a vehicle monitoring system provided in the present application;
fig. 2 is a schematic diagram of a vehicle identification processing method provided in the present application;
FIG. 3 is a schematic diagram of a flow of a processing method for identifying a vehicle according to the present application;
FIG. 4 is a schematic diagram of a flow of another vehicle identification processing method provided in the present application;
fig. 5 is a schematic diagram of a flow of another vehicle identification processing method provided in the present application.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of 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 apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which a person of ordinary skill in the art would have, based on the embodiments in this application, come within the scope of protection of this application.
The terms "first," "second," "third," "fourth" and the like in the description and in the claims of this application and in the above-described figures, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that embodiments of the present application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
With the perfection of road route construction and the rapid increase in the number of vehicles, how to effectively monitor vehicles is a hot spot for those skilled in the art.
Currently, there are three main ways to monitor and identify vehicles in the prior art:
mode one: an automatic license plate recognition technical scheme. The technical scheme mainly relates to a vehicle, such as a snapshot camera, an automatic railing, a fixedly installed vehicle sensor (comprising infrared rays, radars, induction coils and the like), image recognition software and the like, wherein the image recognition software can be optical character recognition (Optical Character Recognition, OCR for short) software. The license plate recognition technology mainly comprises the following processing steps: the fixed installed vehicle sensor detects that the vehicle enters the camera zone, triggers the camera to automatically shoot, automatically converts pictures obtained by shooting into characters, and sends the characters to the data center through the communication network to process charging data of various fees.
Mode two: short range wireless communication technology scheme. The scheme mainly relates to road side equipment (RSU), vehicle-mounted equipment (On board Unit, OBU) and lane equipment such as automatic railings for intercepting vehicles, wherein the RSU is installed On each lane to detect the vehicles On the road side, namely, data are read when OBU signals are detected, whether the vehicles can be released or not is judged according to the data, and if the vehicles can be released, the automatic railings are opened to release the vehicles.
Mode three: the technical scheme of the electronic license plate. According to the scheme, the technical characteristics of high-precision identification, high-accuracy acquisition and high sensitivity of RFID are utilized, an electronic license plate tag is arranged on a motor vehicle, the RFID electronic license plate is used as a vehicle information carrier, and data on the electronic license plate of each motor vehicle are acquired or written when the motor vehicle passes through a road section provided with an authorized radio frequency identification reader-writer.
However, each of the modes has the following problems: the automatic license plate recognition technical scheme has low recognition rate and stability, the influence of weather on the vehicle image captured by the camera is relatively large, and the recognition accuracy in the open air environment cannot be ensured. The short-range wireless communication technical scheme needs to install the portal frame on the road, so that on one hand, a large amount of cost is added, on the other hand, if the portal frame is installed on the urban road, urban capacity is hindered, and meanwhile, the problems of geographical position limitation, traffic influence and the like exist when the portal frame is installed in the urban area. The electronic license plate technical scheme needs to read and write through the road side device, so that on one hand, the construction investment of road side equipment and vehicle cost is increased, and on the other hand, the road side equipment is usually arranged at two sides of a road according to a certain interval distance under the principle of saving cost, so that recognition dead zones exist in recognition of vehicle identities, and meanwhile, the recognition and supervision treatment of the vehicle in full space time cannot be realized.
Based on the technical problems, the invention concept of the application is as follows: the processing method which can be used for carrying out all-time and all-weather identification, accurate positioning and supervision on the vehicles and simultaneously effectively saving construction cost is designed.
Fig. 1 is a schematic diagram of a network architecture of a vehicle monitoring system provided in the present application, as shown in fig. 1, the vehicle monitoring system includes: the vehicle monitoring device 10, the wireless data communication network system 20, the cloud monitoring system 30 and the Beidou satellite navigation system 40.
The vehicle monitoring device 10 may be mounted or carried on a vehicle, and is used for storing vehicle identity information and dynamically feeding back vehicle driving information. The vehicle monitoring device 10 includes: the identity information storage module 101 is an RFID identity card for storing identity information of a vehicle, wherein the RFID identity card contains information such as a vehicle model, a color, an engine number and the like, and the identity information of the vehicle is coded into a password by a blockchain technology and stored in the RFID identity card information which cannot be tampered and copied; the Beidou positioning module 102 is used for receiving signals broadcast by the Beidou satellite navigation system 40 so that a vehicle monitoring device can acquire the current running position coordinates of the vehicle and the corresponding time of running to the position coordinates is acquired; the central processing unit 103 is used for realizing the read-write processing of the vehicle identity information, controlling the Beidou positioning module 102 to receive the information sent by the Beidou satellite navigation system 40, and realizing the positioning processing of the vehicle by utilizing one or more combined positioning modes of the Beidou satellite communication base station 201, the wireless private network communication base station 202 and the public network mobile communication base station 203 so as to improve the positioning precision, the sensitivity and the anti-interference capability of the vehicle monitoring device 10 and enlarge the positioning coverage; in addition, the central processing unit 103 is further configured to perform data communication with the cloud monitoring system 30, record driving state information of the vehicle, update data of the vehicle monitoring device, and the like; the wireless private network communication module 104 is configured to perform data exchange with the wireless private network communication base station 202 and the Beidou satellite communication base station 201, so that the cloud monitoring system 30 is convenient for identifying and supervising the vehicle; the wireless public network communication module 105 is configured to complete data communication with the public mobile communication base station 203, so as to ensure that communication between the vehicle monitoring device 10 and the cloud monitoring system is maintained when the wireless private network communication base station 202 and the Beidou satellite communication base station 201 are unavailable; the data storage module 106 is configured to store vehicle identity information, vehicle travel information, and the like, and may implement an update processing operation for the vehicle identity information, the vehicle travel information, and the like.
The wireless data communication network system 20 includes: the beidou satellite communication base station 201 is deployed at a place with good beidou satellite signals and no sky shielding according to the need, and can be connected with the beidou satellite ground station and the vehicle supervision device 10 through a special line (optical fiber). Correspondingly, the Beidou satellite communication base station 201 mainly comprises a central controller/data storage module 2011, a wireless private network communication module 2012 and a Beidou communication module 2013. Optionally, the central controller/data storage module 2011 is responsible for sending data receiving, sending and storing instructions to the wireless private network communication module 2012 and the Beidou communication module 2013, and completing the processing process of satellite data acquired by the ground base station; the wireless private network communication module 2012 is a wireless communication device tailored based on a two-way wireless communication protocol between a dedicated vehicle and a roadside fixture, with data transfer characteristics of close range, high speed and low latency. To sum up, the communication process of the Beidou communication base station 201 is as follows: the Beidou communication module 2013 can complete data transmission to the data transponder of the north fighter satellite navigation system 40, and receive data transmitted by the vehicle monitoring device 10 so as to control the data processing instruction of the central controller/data storage module 2011.
The wireless private network communication base station 202 is a device that is deployed at a designated location as needed, and that can establish a communication connection with the cloud monitoring system 30 by implementing an interconnection network (LAN or optical fiber) using a wired network. The wireless private network communication base station 202 is mainly composed of a central controller/data storage module 2021, a wireless private network communication module 2022, and a private network networking communication module 2023. The wireless private network communication module 2021 has the same functions as 2012 described above, and the detailed description thereof is omitted herein; similarly, the central controller/data storage module 2022 functions as the above 2011, and the detailed description is omitted herein; the private network networking communication module 2023 may complete data interaction with the communication and interface module 301 of the cloud monitoring system 30 through LAN and optical fiber, so as to complete the vehicle identification and supervision process. The public network mobile communication base station 203 specifically refers to various public communication network base stations deployed by a public network operator, such as GPRS, CSDM 1X, WCDMA, TD-SCDMA, LTE, etc., and the network mobile communication base station 203 designs a Virtual Private Network (VPN) channel to complete data transmission, so as to improve the security of data transmission between the vehicle monitoring device 10 and the cloud monitoring system 30.
The cloud monitoring system 30 includes: the communication interface module 301 is configured to communicate with an interface device of each communication channel of the wireless data communication network system 20, and through the communication device and software running on the server cluster, each communication channel of the wireless data communication network system 20 can be arbitrarily invoked to implement data exchange between the cloud monitoring system 30 and the vehicle monitoring device 10; the supervision record library and execution module 302 is used for recording identity information during vehicle authentication, collecting running information of the running of the vehicle, judging legal identity of the vehicle, supervising running behavior and recording information of identification and supervision processing; the virtual station model/dynamic update module 303 is configured to display entity monitoring stations (entity stations) and virtual monitoring stations (virtual stations) disposed on two sides of a road on an electronic map, and calculate a deviation value between the entity stations and the virtual stations by using coordinate positions of the entity stations, so as to compensate the deviation of the virtual stations, avoid the influence of the entity stations on the same road side as the driving direction of the vehicle, and thereby improve the accuracy of vehicle supervision processing; the vehicle driving track information acquisition module 304 is configured to acquire driving information sent by the vehicle monitoring device and generate a driving track of the vehicle, and can measure and calculate a speed of the vehicle and a distance between the vehicle and a specified coordinate point in real time, so as to facilitate processing such as charging and supervision of the vehicle.
Optionally, the cloud monitoring system 30 further includes: a query module 305, the query interface 305 being operable to provide a query interface to a supervisory record for an owner of the vehicle; and the third party interface 306 is used for interfacing with a vehicle charging system and the like so as to realize all-weather charging processing and other services on the vehicle.
The Beidou satellite navigation system 40 specifically refers to a Beidou satellite running in space, can broadcast satellite positioning signals to the ground in an all-weather mode, sends wireless signals to the vehicle monitoring device 10 in real time, and can communicate with a Beidou satellite communication base station 201 in the wireless data communication network system 20 based on a data transponder of the Beidou satellite navigation system 40 so as to realize bidirectional wireless data transceiving, so that vehicle position coordinate information is provided for the vehicle monitoring device 10; in addition, the beidou navigation system 40 realizes bidirectional data receiving and transmitting with the cloud monitoring system 30 by means of the ground station associated with the beidou navigation system, and provides vehicle position information for the cloud monitoring system 30.
In summary, the vehicle identification processing method provided by the application can be applied to the vehicle monitoring system, but the method provided by the application is not only used for vehicle identification processing, but also suitable for a series of related operation processing such as vehicle supervision (overspeed identification, various charging processing) and the like.
The following describes the technical scheme of the present application in detail through specific embodiments. It should be noted that the following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.
Fig. 2 is a processing method for vehicle identification provided in the present application, as shown in fig. 2, the processing method includes:
step 201, a cloud monitoring system acquires a vehicle identification card identifier and first identity information of a vehicle to be identified, which are sent by a vehicle monitoring device.
It should be noted that, the method provided in this embodiment is applicable to the vehicle monitoring system shown in fig. 1, and the method provided in this embodiment may also be applicable to the supervision and identification processing of ships and planes, and for convenience of explanation, this embodiment will be explained by taking the identification and supervision processing of vehicles as an example.
In addition, the method provided by the embodiment is applied to the highway/expressway to identify vehicles and the fake-licensed vehicles for identification and seizing; the present embodiment is not particularly limited in the context of the vehicle monitoring and recognizing process by the relevant departments, various charging processes by the relevant authorities, and the like.
In this embodiment, the vehicle monitoring device may send the identity card identifier of the vehicle and the first identity information to the cloud monitoring system in real time or periodically, and optionally, the central processor of the vehicle monitoring device reads the RFID card information stored in the identity information storage module, and sends the read RFID card information to the cloud monitoring system through a wireless private network communication channel inside the RFID card information storage module.
Correspondingly, the cloud monitoring system can receive the identification card identification and the first identification information sent by the vehicle monitoring device of the vehicle to be identified in real time or periodically.
Step 202, a cloud monitoring system obtains a target vehicle matched with a vehicle identity card identifier of a vehicle to be identified and an identifier of the target vehicle, and determines second identity information corresponding to the identifier of the target vehicle in a vehicle license plate/vehicle-mounted device/user account information base pre-stored in the cloud monitoring system according to the identifier of the target vehicle.
In this embodiment, a database of the account value of the supervision subject/supervisor is pre-stored in the cloud monitoring system, and is used for recording the association relationship between the vehicle and the supervision institution, and the database is obtained by a person skilled in the art through a big data collection technology, but is not limited to other implementation modes.
Optionally, the cloud monitoring system acquires a supervision organization associated with the identity card identifier of the vehicle to be identified in the supervision body/supervisor account value information base, and acquires the target vehicle and the target vehicle identifier corresponding to the vehicle identity card identifier of the vehicle to be identified under the associated supervision organization.
The cloud monitoring system then retrieves a pre-stored vehicle license plate/vehicle-mounted device/user account information base, wherein the database is used for storing the identity information of the vehicle and is used as a judging basis for judging whether the identity information of the vehicle to be identified is legal or not, and the database is acquired by a person skilled in the art through a big data technology, but is not limited to other specific implementation modes. Furthermore, the cloud monitoring system can acquire second identity information corresponding to the target vehicle identifier from the database.
And 203, the cloud monitoring system performs matching processing on the first identity information and the second identity information, obtains a matching processing result, and determines whether the vehicle to be identified is a legal vehicle according to the matching processing result.
In this embodiment, the cloud monitoring system may perform matching processing on the acquired first identity information and the second identity to determine whether the vehicle to be identified is a legal vehicle. Optionally, the cloud monitoring system can perform matching processing on the information in the first identity information and the second identity information one by one, so that a matching processing result can be obtained, a judgment basis of whether the vehicle is legal or not can be obtained, and whether the vehicle to be identified is legal or not can be determined.
In this embodiment, a processing method for vehicle identity recognition is provided, and a cloud monitoring system is used to obtain a vehicle identity card identifier and first identity information of a vehicle to be recognized, which are sent by a vehicle monitoring device; acquiring a target vehicle matched with a vehicle identity card identifier of a vehicle to be identified and an identifier of the target vehicle, and determining second identity information corresponding to the identifier of the target vehicle in a vehicle license plate/vehicle-mounted device/user account information base pre-stored in a cloud monitoring system according to the identifier of the target vehicle; and carrying out matching processing on the first identity information and the second identity information, obtaining a matching processing result, and determining whether the vehicle to be identified is a legal vehicle or not according to the matching processing result. According to the method, based on the vehicle monitoring system, the vehicle identity card identification and the first identity information sent by the vehicle monitoring device are obtained, the related database prestored in the cloud monitoring system is called according to the vehicle identity identification, so that the target vehicle with the same current vehicle body card identification and the target vehicle identification are determined, the second identity information corresponding to the target vehicle identification is obtained, and the validity of the vehicle identity to be identified is confirmed through matching processing of the two identity information. The method avoids using road side devices and equipment, reduces the cost and solves the problem that the vehicle identity cannot be accurately identified due to weather limitation in the prior art.
Fig. 3 is a schematic diagram of a flow of another vehicle identification processing method provided in the present application, and on the basis of the foregoing embodiment, this embodiment details how to obtain the first identity information and the second identity information of the vehicle to be identified, and as shown in fig. 3, the processing steps include:
step 301, the supervision record and execution module establishes a connection channel for network communication with the vehicle monitoring device by using the communication interface module and a wireless private network communication base station or a public mobile communication base station in the wireless data communication network system.
It should be noted that, the method mentioned in this embodiment mainly relates to a supervision record and execution module and a communication interface module in the cloud monitoring system, and the recognition processing of the vehicle identity may be performed by the supervision record and execution module.
Correspondingly, the supervision record and execution module first establishes a connection channel for network communication with the vehicle monitoring device. Optionally, the monitoring record and execution module may trigger the communication and interface module of the cloud monitoring system to establish a connection channel for network communication with the wireless private network communication base station or the public mobile communication base station in the wireless data communication network system, trigger the wireless private network communication base station in the wireless data communication network system to establish a network communication connection channel with the wireless private network communication module of the vehicle monitoring device, and trigger the public mobile communication base station in the wireless data communication network system to establish a connection channel for network communication with the wireless public network communication module of the vehicle monitoring device, based on which the vehicle monitoring device and the cloud monitoring system establish a connection channel for network communication by means of the wireless data communication network.
Therefore, the monitoring record and execution module can realize data receiving and transmitting with the vehicle monitoring device through the communication interface module, and the monitoring record and execution module can process the data according to the following step 302 to acquire the first identity information.
Step 302, the monitoring recording and executing module triggers the communication interface module in real time or periodically to receive the vehicle identification card identification and the first identification information of the vehicle to be identified, which are sent by the central processing unit of the vehicle monitoring device, through the connecting channel.
In this embodiment, the monitoring record and execution module triggers the communication interface module in real time or periodically to receive data sent from the vehicle monitoring device, that is, to receive information of the RFID card read by the central processor in the vehicle monitoring device into the identity information storage module, so that the monitoring record and execution module obtains the vehicle identity card identification information and the first identity information of the vehicle to be identified.
The vehicle identity card identification information refers to identification information of an RFID card, information such as a vehicle number plate, a vehicle type, a frame number, an engine number, a mobile terminal identification and the like is written in the RFID card, and correspondingly, the first identity information comprises the vehicle number plate, the vehicle type, the frame number, the engine number, the mobile terminal identification and the like. The mobile terminal identification can be understood as a mobile terminal having a binding relationship with the vehicle monitoring device, and the same vehicle monitoring device can be bound with a plurality of mobile terminals, and the identification of the mobile terminal is written into the identity information storage module through the central processing unit of the vehicle monitoring device.
Step 303, the supervision record and execution module traverses the vehicle identification card identifier in a supervision subject/supervisor account value information base pre-stored in the cloud monitoring system, acquires a target vehicle corresponding to the vehicle identification card identifier consistent with the vehicle identification card identifier, and acquires an identifier of the target vehicle.
In this embodiment, in order to accurately determine the validity of the vehicle to be identified, the supervision record and execution module needs to acquire the target vehicle and the identifier of the target vehicle through the vehicle identifier, that is, acquire the target vehicle consistent with the vehicle identifier of the vehicle to be identified, so as to acquire the second identity information of the target vehicle.
Specifically, the supervision record and execution module invokes a supervision subject/supervisor account value information base in the cloud monitoring system, where the information base includes: and the supervision subject identification and the supervision institution identification. Optionally, the monitoring record and execution module traverses the vehicle identification card identifier in the information base and obtains a monitoring subject identifier consistent with the vehicle identification card identifier, wherein the monitoring subject corresponding to the monitoring subject identifier is a target vehicle, and then the identifier of the target vehicle can be obtained.
And step 304, the supervision record and execution module acquires the identity of the target supervision organization to which the identity of the target vehicle belongs and the identity of the target supervision organization from a pre-stored supervision body/supervision machine account value information base according to the identity of the target vehicle.
Specifically, in order to obtain the second identity information corresponding to the target vehicle, the supervision record and execution module needs to determine the target supervision organization to which the target supervision vehicle belongs, so that the detailed information of the identity of the target vehicle is obtained under the target supervision organization.
More specifically, the supervision record and execution module obtains the target supervision organization and the target supervision organization identification to which the supervision body identification belongs from the supervision body/supervision machine account value information base according to the supervision body identification.
Step 305, the supervision record and execution module obtains a target vehicle number plate/vehicle-mounted device/user account information base associated with the identification of the target supervision mechanism from a vehicle number plate/vehicle-mounted device/user account information base pre-stored in the cloud monitoring system.
Step 306, the supervision record and execution module obtains second identity information corresponding to the identification of the target vehicle from the target vehicle license plate/vehicle-mounted device/user account information base.
In this embodiment, after the supervision record and execution module acquires the identifier of the target supervision authority, the supervision record and execution module will invoke a pre-stored vehicle license plate/vehicle-mounted device/user account information base to acquire a target information base corresponding to the target supervision authority and used for storing the identity information of the target vehicle, that is, acquire a target vehicle license plate/vehicle-mounted device/user account information base associated with the identifier of the target supervision authority.
The vehicle identity information, such as the vehicle number plate, the engine number, the vehicle color, etc., when the vehicle is recorded is stored in the vehicle number plate/vehicle-mounted device/user account information base.
Then, the supervision record and execution module acquires second identity information corresponding to the identification of the target vehicle from the target vehicle license plate/vehicle-mounted device/user account information base, wherein the second identity information comprises: vehicle number plate, vehicle type, frame number, engine number, mobile terminal identification, etc.
In summary, the supervision record and execution module acquires the target vehicle and the second identity information corresponding to the target vehicle identifier, so as to judge the legitimacy of the vehicle to be identified later.
Optionally, the supervision record and execution module may perform matching processing on the first identity information and the second identity information to obtain a matching processing result. Specifically, the supervision record and execution module can compare each field in the two identity information one by one, or only select the mobile terminal identifier and the vehicle number plate for matching processing, so as to improve the processing efficiency.
Specifically, when the matching processing result obtained by the supervision record and the execution module is complete matching, the vehicle to be identified is determined to be a legal vehicle, and when the matching processing result obtained by the supervision record and the execution module is complete matching and is incomplete matching, the vehicle to be identified is determined to be an illegal vehicle.
In this embodiment, a specific processing step of the cloud monitoring system acquiring the first identity information and the second identity information of the vehicle to be identified is specifically explained, the implementation of the processing step is related to the vehicle monitoring device and the cloud monitoring system, the communication between the vehicle monitoring device and the cloud monitoring system depends on a wireless data communication network system, the wireless data communication network system provides a wireless private network communication base station and a wireless data communication network, and provides a Beidou satellite communication base station, so that the communication between the vehicle monitoring device and the cloud monitoring system is ensured from multiple aspects, the limitation of identifying the vehicle depending on a road side device and equipment is avoided, and the problem of low accuracy of the vehicle identity identification processing due to weather influence is avoided, so that the vehicle identity is identified in all weather.
Fig. 4 is a schematic diagram of a flow of another vehicle identification processing method provided in the present application, and based on the foregoing embodiment, this embodiment specifically illustrates that a cloud monitoring system obtains a driving track of a vehicle to be identified, so as to provide a driving track diagram for an organization for supervising the vehicle to be identified, and the processing steps include:
step 401, a monitoring record and execution module triggers a vehicle running track information acquisition module to receive running information of a vehicle to be identified, which is sent by a vehicle monitoring device, so that a monitoring mechanism monitors the vehicle to be identified according to the running information; wherein the travel information includes: position coordinates, direction of travel, travel time, speed, and acceleration.
Specifically, in this embodiment, the cloud end monitoring system may acquire the position coordinates of the vehicle to be identified in real time, and calculate the speed (speed value and vector direction) of the vehicle in real time, so as to calculate the distance between the vehicle and the specified coordinate point in real time, and further accurately display the distance on the electronic map, so that the user or the supervision mechanism can conveniently view the distance.
In addition, the cloud monitoring system can collect the acquired vehicle running information as a data source to be used as a basis for processing such as overspeed of the vehicle to be identified or road tolling.
More specifically, after the supervision record and execution module determines that the vehicle to be identified is a legal vehicle, the vehicle running track information acquisition module of the cloud monitoring system is triggered to acquire the running information of the vehicle to be identified. Optionally, the monitoring record and execution module triggers the vehicle running track information acquisition module to acquire the position coordinate sent by the central processing unit of the vehicle-mounted monitoring device through the communication interface module, and the position coordinate is acquired by analyzing the signal sent by the Beidou satellite navigation system and received by the Beidou positioning module of the vehicle monitoring device by the central processing unit. Similarly, the central processing unit calculates the difference value between the position coordinate points based on the received position coordinate points of the plurality of vehicles to be identified, and processes the position coordinate points by utilizing a speed formula, so that the running information of the vehicles to be identified, such as position coordinates, running direction, running time, speed and acceleration, can be obtained.
It should be noted that, the central processing unit may send the driving information of the vehicle to be identified to the communication interface module of the cloud monitoring system through the wireless private network communication base station or the public mobile communication base station in the wireless data communication network system.
After the vehicle running track information acquisition module acquires the running information of the vehicle to be identified, the running track of the vehicle to be identified can be acquired by integrating the running information and connecting each position coordinate point according to the running direction, so that the running track of the vehicle to be identified is conveniently and intuitively displayed on an electronic map, and meanwhile, the actual moving condition of the vehicle can be displayed on the electronic map according to the speed and the running time in the running information.
Further, the vehicle driving track information acquisition module collects and stores driving information of the vehicle to be identified as a supervision data source, in an actual scene, the supervision mechanism can combine the supervision data source with the driving track of the vehicle to be identified to perform supervision processing, for example, aiming at acceleration and speed in the driving track, whether overspeed phenomenon occurs in the vehicle to be identified is detected, and after overspeed, an overspeed road section is determined according to the driving track diagram.
And step 402, the vehicle running track information acquisition module compares the position coordinates fed back by the Beidou satellite communication base station in the wireless data communication network with the position coordinates in the running information to acquire the compared position coordinates, and calibrates the running track of the vehicle to be identified according to the compared position coordinates.
In this embodiment, in order to ensure accuracy of the acquired driving track, the supervision record and execution module may trigger the vehicle driving track information acquisition module to perform comparison processing on the position coordinates in the driving information.
Optionally, the monitoring record and execution module triggers the vehicle running track information acquisition module to acquire the position coordinates of the vehicle monitoring device after processing the Beidou satellite base station sending information through the communication interface module of the cloud monitoring system when acquiring the running information of the vehicle to be identified each time.
Specifically, a Beidou communication module in a Beidou satellite communication base station acquires position coordinate information sent by a ground station associated with a Beidou satellite navigation system, and the position coordinate information is filtered and noise-reduced through a central controller/data storage module, so that the filtered and noise-reduced position coordinate is transmitted to a central processor of a vehicle-mounted monitoring device through a wireless private network communication module.
Therefore, the central processing unit transmits the position coordinate to the vehicle running track information acquisition module, compares the position coordinate information with the position coordinate received by the Beidou positioning module, takes the position coordinate information fed back by the ground station as the position coordinate after comparison when the two coordinate positions are inconsistent, and does not need correction when the two position coordinates are consistent. Thus, the travel locus of the vehicle to be recognized can be calibrated based on the position coordinates after the comparison processing. Thereby improving the accuracy of the processing of the regulatory authorities.
In the present embodiment, specific processing steps of how to acquire the driving track of the vehicle to be identified are specifically explained, which can improve the flexibility and the applicable range of the method provided in the present application.
Fig. 5 is a schematic diagram of a flow of another vehicle identification processing method provided in the present application, and after the monitoring record and execution module determines that the vehicle to be identified is a legal vehicle, the monitoring record and execution module triggers the virtual station module/dynamic update module to obtain a virtual monitoring station database and can automatically update database information, and the vehicle to be identified is monitored, such as charging, by continuously comparing the position coordinates and the driving direction of the vehicle. As shown in fig. 5, the processing steps include:
step 501, a virtual station module/dynamic updating module determines an entity station and a virtual station on the road side where the vehicle to be identified is traveling, and station information of the entity station and station information of the virtual station according to the position coordinates of the vehicle to be identified and the traveling direction of the vehicle to be identified, and displays the station information of the entity station and the station information of the virtual station on an electronic map so as to complete all-time empty and all-weather supervision processing of the vehicle to be identified. Wherein, the entity station and the virtual station respectively at least comprise: toll station, inspection station and monitoring station; the site information of the physical station and the site information of the virtual station respectively include: the road section name code of the entrance and the exit, the name code of the entrance and the mileage between the coordinate point and the entrance.
Specifically, in this embodiment, an information base of an entity station is pre-stored in the cloud end monitoring system, and site information of the entity station is obtained by in-situ accurate measurement by a person skilled in the art, that is, by a longitude and latitude elevation value of a toll station or an inspection station that needs to be virtualized, and a driving direction of an entrance and an exit, and the corresponding site information of the entity station includes: the road section name code of the entrance and the exit, the name code of the entrance and the mileage between the coordinate point and the entrance.
In view of the fact that in order to save the cost of building the physical station and the fact that the topography of the highway is not suitable for building the physical station in the actual scene, the virtual station can be arranged at the relevant position, and the information base of the virtual station and the site information of the virtual station can be obtained by the person skilled in the art through big data technology, correspondingly, the site information of the virtual station also comprises: the road section name code of the entrance and the exit, the name code of the entrance and the mileage between the coordinate point and the entrance.
More specifically, the supervision record and execution module triggers the virtual station module/dynamic update module to find out the entity station and the virtual station related to the current position coordinate and the driving direction from the information base of the entity station and the information base of the virtual station according to the driving direction of the vehicle to be identified and the current position coordinate of the vehicle to be identified.
Based on the information, the supervision record and execution module triggers the virtual station module/dynamic update module to mark the virtual station and the physical station on an electronic map of the vehicle navigation of the user or on a visual large screen of a supervision mechanism. The monitoring system has the advantages that the monitoring of the vehicles to be identified is more comprehensive, the vehicles to be identified do not need to be monitored by the entity monitoring station, and the vehicles to be identified can be monitored on certain road sections where the entity monitoring station cannot be arranged.
Step 502, the virtual station module/dynamic update module determines a deviation value between the virtual station and the physical station by using the coordinate point in the station information of the physical station and the driving direction of the vehicle to be identified, and adjusts the station information of the virtual station by using the deviation value to obtain updated station information of the virtual station.
Step 503, the virtual station module/dynamic update module updates the virtual station database in the virtual station module/dynamic update module by using the updated site information of the virtual station, obtains the updated virtual station database, and updates the site information of the virtual station on the electronic map according to the updated virtual station database.
Because the virtual station is possibly marked on the entity station, and when the monitoring station exists on the adjacent road section of the road section, the marking of the current virtual station is possibly influenced, so that the station position coordinates are deviated.
Specifically, when it is determined that the physical station exists in the monitoring station marked by the virtual station, calculating a deviation value between the coordinate point of the physical station and the coordinate point of the virtual station, so that the deviation value is accumulated on the coordinate point of the current virtual station, and further, the updated virtual station is obtained, and therefore, the virtual station information base is updated by the updated virtual station.
Correspondingly, the virtual station module/dynamic updating module updates the station information of the virtual station on the electronic map by updating the virtual station information base so as to accurately charge and monitor the vehicle to be identified.
In this embodiment, a specific process of how to virtualize and model the monitoring points on the road side where the vehicle runs is specifically explained, which not only solves the problem that the physical stations cannot be set on the two sides of the road, but also realizes that the two sides of the road where the vehicle runs can monitor and process the vehicle in real time, and further realizes the omnibearing and full-time empty monitoring and processing of the vehicle, thereby improving the overall monitoring and processing of the vehicle to be identified and improving the accuracy of the monitoring and processing.
In an alternative embodiment, the instant application provides a vehicle monitoring system comprising: the vehicle monitoring device, a wireless data communication network system connected with the vehicle monitoring device, a cloud monitoring system connected with the wireless data communication network system, and a Beidou satellite navigation system connected with the wireless data communication network system; the cloud monitoring system is used for triggering a communication interface module of the cloud monitoring system to acquire a vehicle identification card identification and first identity information of a vehicle to be identified, which are sent by the vehicle monitoring device; the cloud monitoring system is used for carrying out matching processing on the vehicle identification card identifications of the vehicles to be identified, obtaining the target vehicles corresponding to the vehicle identification card identifications and the identifications of the target vehicles, and determining second identification information corresponding to the target vehicle identifications in a vehicle license plate/vehicle-mounted device/user account information base pre-stored by the cloud monitoring system according to the target vehicle identifications; and the cloud monitoring system is used for carrying out matching processing on the first identity information and the second identity information, obtaining a matching processing result and determining whether the vehicle to be identified is a legal vehicle or not according to the matching processing result.
Optionally, the embodiment of the present application further provides a server, where the server includes: a processor and a memory communicatively coupled to the processor. Wherein the memory stores computer-executable instructions; the processor executes computer-executable instructions stored in the memory to implement the technical solution provided in any of the foregoing embodiments.
Optionally, the embodiment of the present application further provides a computer readable storage medium, where computer executable instructions are stored, and when the processor executes the computer executable instructions, the method provided in any of the previous embodiments is implemented.
Optionally, an embodiment of the present application further provides a computer program product, including a computer program, where the computer program is configured to implement the technical solution provided by any one of the foregoing method embodiments when executed by a processor.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features can be replaced equivalently; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application.

Claims (13)

1. A vehicle identification processing method, wherein the processing method is applied to a vehicle monitoring system, and the vehicle monitoring system comprises: the vehicle monitoring system comprises a vehicle monitoring device, a wireless data communication network system connected with the vehicle monitoring device, a cloud monitoring system connected with the wireless data communication network system, and a Beidou satellite navigation system connected with the wireless data communication network system;
the processing method comprises the following steps:
the cloud monitoring system acquires a vehicle identification card identifier and first identity information of a vehicle to be identified, which are sent by the vehicle monitoring device;
the cloud monitoring system acquires a target vehicle matched with the vehicle identity card identifier of the vehicle to be identified and the identifier of the target vehicle, and determines second identity information corresponding to the identifier of the target vehicle in a vehicle license plate/vehicle-mounted device/user account information base pre-stored in the cloud monitoring system according to the identifier of the target vehicle;
and the cloud monitoring system performs matching processing on the first identity information and the second identity information, obtains a matching processing result, and determines whether the vehicle to be identified is a legal vehicle according to the matching processing result.
2. The method of claim 1, wherein the cloud monitoring system comprises: the monitoring and recording and executing module and the communication interface module, the cloud monitoring system obtains a vehicle identification card identifier and first identity information of a vehicle to be identified, which are sent by the vehicle monitoring device, and the monitoring and recording and executing module comprises:
the supervision record and execution module establishes a connection channel for network communication with the vehicle monitoring device by utilizing the communication interface module and a wireless private network communication base station or a public mobile communication base station in the wireless data communication network system;
and the monitoring record and execution module triggers the communication interface module in real time or periodically, and receives the vehicle identification card identification and the first identification information of the vehicle to be identified, which are sent by the central processing unit of the vehicle monitoring device, through the connecting channel.
3. The method of claim 2, wherein the cloud monitoring system obtaining a target vehicle that matches the vehicle identification card identification of the vehicle to be identified and the identification of the target vehicle comprises:
and the supervision record and execution module traverses the vehicle identity card identifier in a supervision main body/supervisor account value information base pre-stored in the cloud monitoring system, acquires a target vehicle corresponding to the vehicle identity card identifier consistent with the vehicle identity card identifier, and acquires the identifier of the target vehicle.
4. A method according to claim 3, further comprising:
the supervision record and execution module acquires a target supervision organization to which the identification of the target vehicle belongs and the identification of the target supervision organization from the pre-stored supervision body/supervision machine account value information base according to the identification of the target vehicle;
determining, according to the target vehicle identifier, second identity information corresponding to the target vehicle identifier in a vehicle license plate/vehicle-mounted device/user account information base pre-stored in the cloud monitoring system, where the second identity information includes:
the supervision record and execution module acquires a target vehicle number plate/vehicle-mounted device/user account information base associated with the identification of the target supervision mechanism from a vehicle number plate/vehicle-mounted device/user account information base pre-stored in the cloud monitoring system;
and the supervision record and execution module acquires second identity information corresponding to the identification of the target vehicle from the target vehicle license plate/vehicle-mounted device/user account information base.
5. The method according to any of claims 1 to 4, wherein the first identity information and the second identity information each comprise at least: vehicle number plate, vehicle type, frame number, engine number, and mobile terminal identification.
6. The method according to any one of claims 1 to 4, wherein the determining whether the vehicle to be identified is a legal vehicle according to the matching processing result includes:
if the matching processing result is complete matching, determining that the vehicle to be identified is a legal vehicle;
or alternatively, the process may be performed,
and if the matching processing result is that the complete matching is not complete matching, determining that the vehicle to be identified is an illegal vehicle.
7. The method of any one of claims 2 to 4, wherein the cloud monitoring system further comprises: the vehicle driving track information acquisition module, the method further comprises:
the monitoring record and execution module triggers the vehicle running track information acquisition module to receive the running information of the vehicle to be identified, which is sent by the vehicle monitoring device, so that a monitoring mechanism monitors the vehicle to be identified according to the running information;
wherein the travel information includes: position coordinates, direction of travel, travel time, speed, and acceleration.
8. The method as recited in claim 7, further comprising:
and the vehicle running track information acquisition module compares the position coordinates fed back by the Beidou satellite communication base station in the wireless data communication network with the position coordinates in the running information to acquire the compared position coordinates, and calibrates the running track of the vehicle to be identified according to the compared position coordinates.
9. The method of claim 7, wherein the cloud monitoring system further comprises: the virtual station module/dynamic update module, the method further comprises:
the virtual station module/dynamic updating module determines an entity station and a virtual station on the road side where the vehicle to be identified is driven, and station information of the entity station and station information of the virtual station according to the position coordinates of the vehicle to be identified and the driving direction of the vehicle to be identified, and displays the station information of the entity station and the station information of the virtual station on an electronic map so as to complete all-time and all-weather supervision processing of the vehicle to be identified;
wherein, the entity station and the virtual station respectively at least comprise: toll station, inspection station and monitoring station;
the site information of the entity station and the site information of the virtual station respectively include: the road section name code of the entrance and the exit, the name code of the entrance and the mileage between the coordinate point and the entrance.
10. The method as recited in claim 9, further comprising:
the virtual station module/dynamic updating module determines a deviation value between the virtual station and the physical station by utilizing a coordinate point in the station information of the physical station and the running direction of the vehicle to be identified, and adjusts the station information of the virtual station by utilizing the deviation value to acquire updated station information of the virtual station;
And the virtual station module/dynamic updating module updates the virtual station database in the virtual station module/dynamic updating module by utilizing the updated site information of the virtual station, acquires the updated virtual station database, and updates the site information of the virtual station on the electronic map according to the updated virtual station database.
11. A vehicle monitoring system, comprising: the vehicle monitoring device, a wireless data communication network system connected with the vehicle monitoring device, a cloud monitoring system connected with the wireless data communication network system, and a Beidou satellite navigation system connected with the wireless data communication network system; wherein, the liquid crystal display device comprises a liquid crystal display device,
the cloud monitoring system is used for triggering a communication interface module of the cloud monitoring system to acquire a vehicle identification card identifier and first identity information of a vehicle to be identified, which are sent by the vehicle monitoring device;
the cloud monitoring system is used for carrying out matching processing on the vehicle identification card identification of the vehicle to be identified, obtaining a target vehicle corresponding to the vehicle identification card identification and the identification of the target vehicle, and determining second identification information corresponding to the target vehicle identification in a vehicle license plate/vehicle-mounted device/user account information base pre-stored in the cloud monitoring system according to the target vehicle identification;
The cloud monitoring system is used for carrying out matching processing on the first identity information and the second identity information, obtaining a matching processing result and determining whether the vehicle to be identified is a legal vehicle or not according to the matching processing result.
12. A server, the server comprising: a processor, and a memory communicatively coupled to the processor;
the memory stores computer-executable instructions;
the processor executes computer-executable instructions stored in the memory to implement the method of any one of claims 1-10.
13. A computer readable storage medium having stored therein computer executable instructions which, when executed by a processor, implement the method of any of claims 1-10.
CN202310420075.4A 2023-04-18 2023-04-18 Vehicle identity recognition processing method, system and medium Pending CN116543565A (en)

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CN202310420075.4A CN116543565A (en) 2023-04-18 2023-04-18 Vehicle identity recognition processing method, system and medium

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Application Number Priority Date Filing Date Title
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