CN114093163A - Vehicle monitoring method, device and storage medium for expressway - Google Patents
Vehicle monitoring method, device and storage medium for expressway Download PDFInfo
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- G—PHYSICS
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- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
Abstract
The application discloses a vehicle monitoring method, equipment and a storage medium for an expressway, wherein the method comprises the following steps: acquiring vehicle information of a plurality of data sources, and extracting the vehicle information into a data warehouse; the vehicle information comprises a pass ID and a license plate number of the vehicle; performing hash processing on the pass ID and the license plate number to generate unique vehicle identity information and a vehicle database corresponding to the unique vehicle identity information; acquiring vehicle operation data through sensing equipment, wherein the vehicle operation data comprises point cloud data acquired through a laser radar, image data acquired through a high-definition camera and position data acquired through a high-precision positioning device; and performing data fusion on the vehicle running data, determining the running track of the vehicle, and storing the running track data in a vehicle database corresponding to the vehicle.
Description
Technical Field
The present disclosure relates to the field of vehicle monitoring, and more particularly, to a method, device, and storage medium for monitoring vehicles on a highway.
Background
With the further improvement of the guarantee of the life safety of the masses, the requirements of cities on security and protection are higher and higher, particularly the monitoring of vehicles, but most security and protection systems can only carry out manual judgment roughly according to the colors and the types of the vehicles.
At present, two main technologies for realizing vehicle driving track tracking exist: one is GPS vehicle monitoring, and the other is mobile phone positioning vehicle monitoring. Because all vehicles do not have the GPS device and the mobile phone positioning device, the two technical means have low accuracy and no universality for tracking the running track of the vehicles on the highway.
Based on this, a solution capable of monitoring the vehicle in real time is needed to assist the relevant mechanism in more accurately monitoring the vehicle.
Disclosure of Invention
The application provides a vehicle monitoring method for an expressway, and solves the technical problem that vehicle monitoring cannot be accurately carried out.
A method of vehicle monitoring of a highway, comprising:
acquiring vehicle information of a plurality of data sources, and extracting the vehicle information into a data warehouse; the vehicle information comprises a pass ID and a license plate number of the vehicle;
performing hash processing on the pass ID and the license plate number to generate unique vehicle identity information and a vehicle database corresponding to the unique vehicle identity information;
acquiring vehicle operation data through sensing equipment, wherein the vehicle operation data comprises point cloud data acquired through a laser radar, image data acquired through a high-definition camera and position data acquired through a high-precision positioning device;
and performing data fusion on the vehicle running data, determining the running track of the vehicle, and storing the running track data in a vehicle database corresponding to the vehicle.
In an embodiment of the present application, performing data fusion on the vehicle operation data to determine a driving track of the vehicle specifically includes: the vehicle-mounted sensing device comprises a high-definition camera, a laser radar, a high-precision positioning device and a vehicle-mounted unit, wherein the vehicle-mounted unit is used for processing data sent by the sensing device and sending data to the road side unit or receiving data sent by the road side unit; acquiring image data through a high-definition camera; determining position data of the vehicle by a high-precision positioning device; acquiring point cloud data through a laser radar, and calculating the distance between the vehicle and the object according to the time difference between the light wave emitted from the laser radar and the light wave reflected from the surface of the object; and uploading the image data, the position data, the point cloud data and the distance information to a road side unit through an on-board unit, uploading the image data, the position data, the point cloud data and the distance information to a big data platform through the road side unit, performing data fusion calculation, and determining the driving track of the vehicle.
In an embodiment of the present application, the hash processing is performed on the pass ID and the license plate number to generate unique vehicle identity information, and a vehicle database corresponding to the unique vehicle identity information is generated, which specifically includes: generating a pass ID by collecting vehicle information at an entry point when a vehicle enters from an entry point of a highway; carrying out data fusion on the acquired license plate number of the vehicle and the pass ID, and converting the license plate number and the pass ID into a hash character string with a fixed length; creating a vehicle database uniquely corresponding to the hash character string according to the hash character string; and storing the pass ID, the license plate number and a Hash character string generated according to the pass ID and the license plate number into the vehicle database.
In an embodiment of the present application, the extracting the vehicle information into the data warehouse specifically includes: taking the serial number as an increment field from a DB2 database, and extracting the data of the high-speed entry table and the high-speed exit table into a MySQL database in real time through timing scheduling; then, extracting the data in the MySQL database into an HIVE data warehouse through an sqoop data extraction tool; transmitting the data of the high-speed traffic police card port from an Oracle database by taking a serial number as an increment field, transmitting the data to an FTP middle server through timing scheduling, and then incrementally loading the data to a data storage center through an extraction program; then, extracting the data of the data storage center into an HIVE data warehouse through an sqoop data extraction tool; and importing the GIS data of the geographic information system into a HIVE data warehouse in a full-scale synchronization mode.
In an embodiment of the present application, the acquiring vehicle information of a plurality of data sources specifically includes: acquiring toll station entering information, toll station exiting information and actual vehicle running path information of the vehicle through the highway composite pass card; collecting the charging time and the charging number of the vehicle through an Electronic Toll Collection (ETC) system; the ETC portal is used for acquiring vehicle acquisition transaction time, vehicle types, vehicle picture information and license plate information.
In an embodiment of the application, after generating the vehicle database corresponding to the unique vehicle identity information, the method further includes: taking the license plate number as a unique identifier of the vehicle, and marking a vehicle database; determining operation information of a vehicle, the operation information including: and the operation information is stored in a storage unit of the vehicle database according to the data of the entrance time, the update time, the vehicle type, the high-speed serial number, the place serial number, the driving direction, the current speed, the lane serial number, the entrance toll station and all the passing data Json strings during the current driving of the vehicle.
A vehicle monitoring device for a highway, comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
acquiring vehicle information of a plurality of data sources, and extracting the vehicle information into a data warehouse; the vehicle information comprises a pass ID and a license plate number of the vehicle;
performing hash processing on the pass ID and the license plate number to generate unique vehicle identity information and a vehicle database corresponding to the unique vehicle identity information;
acquiring vehicle operation data through sensing equipment, wherein the vehicle operation data comprises point cloud data acquired through a laser radar, image data acquired through a high-definition camera and position data acquired through a high-precision positioning device;
and performing data fusion on the vehicle running data, determining the running track of the vehicle, and storing the running track data in a vehicle database corresponding to the vehicle.
In one embodiment of the present application, the at least one processor is further configured to: the vehicle-mounted sensing device comprises a high-definition camera, a laser radar, a high-precision positioning device and a vehicle-mounted unit, and is used for processing data sent by the sensing device and sending data to the road side unit or receiving data sent by the road side unit; acquiring image data through a high-definition camera; determining position data of the vehicle by a high-precision positioning device; acquiring point cloud data through a laser radar, and calculating the distance between the vehicle and the object according to the time difference between the light wave emitted from the laser radar and the light wave reflected from the surface of the object; and uploading the image data, the position data, the point cloud data and the distance information to a road side unit through an on-board unit, uploading the image data, the position data, the point cloud data and the distance information to a big data platform through the road side unit, performing data fusion calculation, and determining the driving track of the vehicle.
In one embodiment of the present application, the at least one processor is further configured to: generating a pass ID by collecting vehicle information at an entry point when a vehicle enters from an entry point of a highway; performing data fusion according to the acquired license plate information of the vehicle and the pass ID, and converting the license plate information into a hash character string with a fixed length; creating a vehicle database uniquely corresponding to the hash character string according to the hash character string; and storing the pass ID, the license plate and the Hash character string generated according to the pass ID and the license plate into the vehicle database.
A non-volatile storage medium storing computer-executable instructions configured to:
acquiring vehicle information of a plurality of data sources, and extracting the vehicle information into a data warehouse; the vehicle information comprises a pass ID and a license plate number of the vehicle;
performing hash processing on the pass ID and the license plate number to generate unique vehicle identity information and a vehicle database corresponding to the unique vehicle identity information;
acquiring vehicle operation data through sensing equipment, wherein the vehicle operation data comprises point cloud data acquired through a laser radar, image data acquired through a high-definition camera and position data acquired through a high-precision positioning device;
and performing data fusion on the vehicle running data, determining the running track of the vehicle, and storing the running track data in a vehicle database corresponding to the vehicle.
The application provides a vehicle monitoring method, equipment and a storage medium for an expressway, which at least have the following beneficial effects: by using a plurality of data sources to acquire the vehicle data, the related information of the vehicle can be acquired more clearly and diversely, and the related data of the vehicle can be acquired from a plurality of data sources to clarify the driving path of the vehicle. The laser radar is used for collecting the vehicle and the information of the surrounding environment of the vehicle, fusing data such as positioning and images, and the like, so that the form track of the vehicle can be more accurately and comprehensively obtained, and accurate monitoring of key vehicles is provided for relevant departments. Meanwhile, the data acquired by the laser radar are used for accurately acquiring the position information of the vehicle, so that the arrangement reference of manpower and material resources can be provided for relevant departments, and the help is provided for the work of the relevant departments.
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The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a schematic step diagram of a method for monitoring vehicles on a highway according to an embodiment of the present disclosure;
fig. 2 is a structural diagram of a vehicle monitoring device for an expressway according to an embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described in detail and completely with reference to the following specific embodiments. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
With the further improvement of the guarantee of the life safety of the masses, the requirements of cities on security and protection are higher and higher, particularly the monitoring of vehicles, but most security and protection systems can only carry out manual judgment roughly according to the colors and the types of the vehicles. At present, two main technologies for realizing vehicle driving track tracking exist: one is GPS vehicle monitoring, and the other is mobile phone positioning vehicle monitoring. Because all vehicles do not have the GPS device and the mobile phone positioning device, the two technical means have low accuracy and no universality for tracking the running track of the vehicles on the highway. Based on this, a solution capable of monitoring the vehicle in real time is needed to assist the relevant mechanism in more accurately monitoring the vehicle.
The application provides a vehicle monitoring method, equipment and a storage medium for an expressway, which at least have the following beneficial effects: by using a plurality of data sources to acquire the vehicle data, the related information of the vehicle can be acquired more clearly and diversely, and the related data of the vehicle can be acquired from a plurality of data sources to clarify the driving path of the vehicle. The laser radar is used for collecting the vehicle and the information of the surrounding environment of the vehicle, fusing data such as positioning and images, and the like, so that the form track of the vehicle can be more accurately and comprehensively obtained, and accurate monitoring of key vehicles is provided for relevant departments. Meanwhile, the data acquired by the laser radar are used for accurately acquiring the position information of the vehicle, so that the arrangement reference of manpower and material resources can be provided for relevant departments, and the help is provided for the work of the relevant departments. The following is a detailed description.
Fig. 1 is a schematic step diagram of a method for monitoring vehicles on a highway according to an embodiment of the present application, and the method may include the following steps:
s101: acquiring vehicle information of a plurality of data sources, and extracting the vehicle information into a data warehouse; the vehicle information includes a pass ID and a license plate number of the vehicle.
In one embodiment of the present application, in order to obtain relevant information of a vehicle more clearly and diversely, relevant data of the vehicle may be acquired from a plurality of data sources.
For example, the toll station entry information and the toll station exit information of the vehicle are acquired through a composite highway pass card, namely a CPC card. And a path recognition system can be arranged at the road network intercommunication position of the expressway, so that the actual running path information of the vehicle can be accurately recorded, and important basis can be provided for cross-provincial toll charging, clearing and the like.
Collecting the charging time and the charging number of a vehicle through an Electronic Toll Collection (ETC); ETC is the most advanced road and bridge charging mode in the world at present, and the vehicle can pay the road and bridge fees without parking through the special short-range microwave communication between the vehicle-mounted electronic tag arranged on the windshield of the vehicle and the microwave antenna on the ETC lane of the toll station and the background settlement processing by utilizing the computer networking technology and the bank.
The ETC portal is used for acquiring vehicle acquisition transaction time, vehicle types, vehicle picture information and license plate information. The ETC portal system is erected above a highway just like a traffic probe, information of a vehicle-mounted ETC is read through the radio frequency device, accurate recording of a vehicle running path is achieved, the vehicle does not need to be slowed down completely when passing, and accurate charging is achieved while the vehicle is ensured to pass through without stopping.
In one embodiment of the present application, data collected by multiple data sources is extracted into the same data warehouse for better data fusion.
Specifically, the data of the high-speed entry table and the high-speed exit table are extracted from the DB2 database in real time by timing scheduling by taking a sequence number as an increment field; and then extracting the data in the MySQL database into a HIVE data warehouse through an sqoop data extraction tool.
The method comprises the steps that high-speed traffic police card data are transmitted to an FTP middle server from an Oracle database by taking a serial number as an increment field through timing scheduling, and then are loaded to a data storage center through extraction program increment; then, extracting the data of the data storage center into an HIVE data warehouse through an sqoop data extraction tool;
and (3) importing the data of a Geographic Information System (GIS) into the HIVE data warehouse in a full-scale synchronization mode. GIS is a technical system for collecting, storing, managing, computing, analyzing, displaying and describing relevant geographically distributed data in the whole or part of the space of the earth's surface layer (including the atmosphere) with the support of a computer hardware and software system. The environmental conditions of the area of the vehicle can be accurately analyzed.
S102: and carrying out Hash processing on the pass ID and the license plate number to generate unique vehicle identity information and generate a vehicle database corresponding to the unique vehicle identity information.
In one embodiment of the present application, each vehicle has a unique license plate number, and when a vehicle enters from an entrance of a highway, a pass ID is generated by collecting vehicle information at the entrance point; the vehicle information can comprise an entrance station, entrance time, a vehicle type, a license plate number, a mobile phone number of a vehicle owner and the like for vehicle passing, and the obtained data can be used for generating a passing ID through data splicing, data summarization and other modes.
Specifically, data fusion is carried out on the acquired license plate number and the pass ID of the vehicle, and the license plate number and the pass ID are converted into a hash character string with a fixed length in a data abstract mode, such as an MD5 algorithm; because the hash character string is unique and cannot be tampered, a unique vehicle database can be created according to the hash character string and used for storing data information of the vehicle, so that not only can the privacy of the data be guaranteed, but also the independence of the data can be guaranteed. After the vehicle database is established, the pass ID, the license plate number and the hash character string generated according to the pass ID and the license plate number can be stored in the vehicle database.
In one embodiment of the application, after a vehicle database corresponding to unique vehicle identity information is generated, a license plate number is used as a unique vehicle identifier to mark the vehicle database; determining operation information of the vehicle, the operation information comprising: and the data of the entrance time, the updating time, the vehicle type, the high-speed serial number, the place serial number, the driving direction, the current speed, the lane serial number, the entrance toll station and all the passing data Json strings in the current driving are stored in a storage unit of a vehicle database.
Specifically, data is preprocessed, unstructured data is converted into structured data, and data searching is facilitated
S103: the vehicle operation data are acquired through the sensing equipment, and comprise point cloud data acquired through a laser radar, image data acquired through a high-definition camera and position data acquired through a high-precision positioning device.
Sensing devices may also include millimeter wave radar, ultrasonic radar, and the like. The millimeter wave radar is the most common sensing hardware, relies on electromagnetic waves, is the speed of light, and the wavelength is relatively longer, compares light and has better penetrability, also can use in general rain, fog, wind and sand weather, and the millimeter wave radar can survey the distance and the speed of target object simultaneously, and price and volume are also relatively moderate.
The ultrasonic radar depends on sound waves, the propagation speed of sound in the air is 340m/s, the sound waves are sent to the obstacle to turn back, the detection distance is short, the existence of the obstacle and the distance of the obstacle in a certain range can be detected, and the ultrasonic radar can be used for low-speed scenes such as parking and the like.
S104: and carrying out data fusion on the vehicle running data, determining the running track of the vehicle, and storing the running track data in a vehicle database of the corresponding vehicle.
In one embodiment of the application, the vehicle-mounted sensing device comprises a high-definition camera, a laser radar, a high-precision positioning device and a vehicle-mounted unit, wherein the vehicle-mounted unit is used for processing data sent by the sensing device and sending data to the road side unit or receiving data sent by the road side unit; acquiring image data through a high-definition camera; determining the position data of the vehicle through a high-precision positioning device; acquiring point cloud data through a laser radar, and calculating the distance between a vehicle and an object according to the time difference between a light wave emitted from the laser radar and a light wave reflected from the surface of the object; the vehicle-mounted unit uploads the image data, the position data, the point cloud data and the distance information to the road side unit, and the road side unit uploads the image data, the position data, the point cloud data and the distance information to the big data platform for data fusion calculation, so that the driving track of the vehicle is determined.
The laser wavelength used by the laser radar is in the level of thousand nanometers, has better directivity, can not turn, and can not spread along with the increase of the distance, so that a very small point can be detected by the laser, a plurality of points are collected to form a point cloud, and the point cloud data with distance information can accurately restore the three-dimensional characteristics of the surrounding environment, so that the laser radar has the advantages of accuracy, abundant details and relatively long detection distance.
The camera is the current equipment that the vehicle can not drive apart, and he just like the human eye, can see everything on the road surface, also is only one can distinguish the perception hardware of colour and specific figure.
The high-precision map has more detailed information than the navigation map used by people at ordinary times, can be accurate to the lane or even centimeter level, and comprises the curvature of the lane or even the guidance of each lane, the gradient of the road surface and the like.
The vehicle-mounted unit can upload the acquired image data, position data, point cloud data and distance information between the current vehicle and surrounding vehicles or objects to a big data platform for data fusion calculation through the receiving of the road side unit, so that the form track of the vehicle can be more accurately and comprehensively obtained, and the accurate monitoring of key vehicles can be provided for relevant departments. Meanwhile, the data acquired by the laser radar are used for accurately acquiring the position information of the vehicle, so that the arrangement reference of manpower and material resources can be provided for relevant departments, and the help is provided for the work of the relevant departments.
Based on the same inventive concept, the embodiment of the present application further provides a corresponding vehicle monitoring device for an expressway, as shown in fig. 2.
The embodiment provides a vehicle monitoring device of highway, includes:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to cause the at least one processor to:
acquiring vehicle information of a plurality of data sources, and extracting the vehicle information into a data warehouse; the vehicle information includes a pass ID and a license plate number of the vehicle;
carrying out Hash processing on the pass ID and the license plate number to generate unique vehicle identity information and a vehicle database corresponding to the unique vehicle identity information;
acquiring vehicle operation data through sensing equipment, wherein the vehicle operation data comprises point cloud data acquired through a laser radar, image data acquired through a high-definition camera and position data acquired through a high-precision positioning device;
and carrying out data fusion on the vehicle running data, determining the running track of the vehicle, and storing the running track data in a vehicle database of the corresponding vehicle.
In one embodiment of the present application, the at least one processor is further configured to: the vehicle-mounted sensing device comprises a high-definition camera, a laser radar, a high-precision positioning device and a vehicle-mounted unit, and is used for processing data sent by the sensing device and sending data to the road side unit or receiving data sent by the road side unit; acquiring image data through a high-definition camera; determining the position data of the vehicle through a high-precision positioning device; acquiring point cloud data through a laser radar, and calculating the distance between a vehicle and an object according to the time difference between a light wave emitted from the laser radar and a light wave reflected from the surface of the object; the vehicle-mounted unit uploads the image data, the position data, the point cloud data and the distance information to the road side unit, and the road side unit uploads the image data, the position data, the point cloud data and the distance information to the big data platform for data fusion calculation, so that the driving track of the vehicle is determined.
In one embodiment of the present application, the at least one processor is further configured to: generating a pass ID by collecting vehicle information at an entry point when a vehicle enters from an entry point of a highway; performing data fusion according to the acquired license plate information of the vehicle and the pass ID, and converting the license plate information and the pass ID into a hash character string with a fixed length; a vehicle database which is only corresponding to the hash character string is established according to the hash character string; and storing the pass ID, the license plate and the Hash character string generated according to the pass ID and the license plate into a vehicle database.
Based on the same idea, some embodiments of the present application further provide media corresponding to the above method.
Some embodiments of the present application provide a vehicle monitoring storage medium for a highway, storing computer-executable instructions configured to:
acquiring vehicle information of a plurality of data sources, and extracting the vehicle information into a data warehouse; the vehicle information includes a pass ID and a license plate number of the vehicle;
carrying out Hash processing on the pass ID and the license plate number to generate unique vehicle identity information and a vehicle database corresponding to the unique vehicle identity information;
acquiring vehicle operation data through sensing equipment, wherein the vehicle operation data comprises point cloud data acquired through a laser radar, image data acquired through a high-definition camera and position data acquired through a high-precision positioning device;
and carrying out data fusion on the vehicle running data, determining the running track of the vehicle, and storing the running track data in a vehicle database of the corresponding vehicle.
The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as to the method and media embodiments, the description is relatively simple as it is substantially similar to the method embodiments, and reference may be made to some of the descriptions of the method embodiments for relevant points.
The method and the medium provided by the embodiment of the application correspond to the method one to one, so the method and the medium also have the beneficial technical effects similar to the corresponding method.
It is also noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process method article or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process method article or method. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of additional like elements in the process method article or method in which the element is included.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A method of highway vehicle monitoring, comprising:
acquiring vehicle information of a plurality of data sources, and extracting the vehicle information into a data warehouse; the vehicle information comprises a pass ID and a license plate number of the vehicle;
performing hash processing on the pass ID and the license plate number to generate unique vehicle identity information and a vehicle database corresponding to the unique vehicle identity information;
acquiring vehicle operation data through sensing equipment, wherein the vehicle operation data comprises point cloud data acquired through a laser radar, image data acquired through a high-definition camera and position data acquired through a high-precision positioning device;
and performing data fusion on the vehicle running data, determining the running track of the vehicle, and storing the running track data in a vehicle database corresponding to the vehicle.
2. The method according to claim 1, wherein the data fusion of the vehicle operation data to determine the driving track of the vehicle specifically comprises:
the vehicle-mounted sensing device comprises a high-definition camera, a laser radar, a high-precision positioning device and a vehicle-mounted unit, wherein the vehicle-mounted unit is used for processing data sent by the sensing device and sending data to the road side unit or receiving data sent by the road side unit;
acquiring image data through a high-definition camera;
determining position data of the vehicle by a high-precision positioning device;
acquiring point cloud data through a laser radar, and calculating the distance between the vehicle and the object according to the time difference between the light wave emitted from the laser radar and the light wave reflected from the surface of the object;
and uploading the image data, the position data, the point cloud data and the distance information to a road side unit through an on-board unit, uploading the image data, the position data, the point cloud data and the distance information to a big data platform through the road side unit, performing data fusion calculation, and determining the driving track of the vehicle.
3. The method according to claim 1, wherein hashing the pass ID and the license plate number generates unique vehicle identity information, and generates a vehicle database corresponding to the unique vehicle identity information, specifically comprising:
generating a pass ID by collecting vehicle information at an entry point when a vehicle enters from an entry point of a highway;
carrying out data fusion on the acquired license plate number of the vehicle and the pass ID, and converting the license plate number and the pass ID into a hash character string with a fixed length;
creating a vehicle database uniquely corresponding to the hash character string according to the hash character string;
and storing the pass ID, the license plate number and a Hash character string generated according to the pass ID and the license plate number into the vehicle database.
4. The method according to claim 1, wherein the extracting the vehicle information into a data warehouse comprises:
taking the serial number as an increment field from a DB2 database, and extracting the data of the high-speed entry table and the high-speed exit table into a MySQL database in real time through timing scheduling; then, extracting the data in the MySQL database into an HIVE data warehouse through an sqoop data extraction tool;
transmitting the data of the high-speed traffic police card port from an Oracle database by taking a serial number as an increment field, transmitting the data to an FTP middle server through timing scheduling, and then incrementally loading the data to a data storage center through an extraction program; then, extracting the data of the data storage center into an HIVE data warehouse through an sqoop data extraction tool;
and importing the GIS data of the geographic information system into a HIVE data warehouse in a full-scale synchronization mode.
5. The method according to claim 1, wherein the acquiring vehicle information of a plurality of data sources specifically comprises:
acquiring toll station entering information, toll station exiting information and actual vehicle running path information of the vehicle through the highway composite pass card;
collecting the charging time and the charging number of the vehicle through an Electronic Toll Collection (ETC) system;
the ETC portal is used for acquiring vehicle acquisition transaction time, vehicle types, vehicle picture information and license plate information.
6. The method of claim 1, wherein upon generating the vehicle database corresponding to the unique vehicle identity information, the method further comprises:
taking the license plate number as a unique identifier of the vehicle, and marking a vehicle database;
determining operation information of a vehicle, the operation information including: and the operation information is stored in a storage unit of the vehicle database according to the data of the entrance time, the update time, the vehicle type, the high-speed serial number, the place serial number, the driving direction, the current speed, the lane serial number, the entrance toll station and all the passing data Json strings during the current driving of the vehicle.
7. A vehicle monitoring apparatus for a highway, comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
acquiring vehicle information of a plurality of data sources, and extracting the vehicle information into a data warehouse; the vehicle information comprises a pass ID and a license plate number of the vehicle;
performing hash processing on the pass ID and the license plate number to generate unique vehicle identity information and a vehicle database corresponding to the unique vehicle identity information;
acquiring vehicle operation data through sensing equipment, wherein the vehicle operation data comprises point cloud data acquired through a laser radar, image data acquired through a high-definition camera and position data acquired through a high-precision positioning device;
and performing data fusion on the vehicle running data, determining the running track of the vehicle, and storing the running track data in a vehicle database corresponding to the vehicle.
8. The device of claim 7, wherein the at least one processor is further configured to:
the vehicle-mounted sensing device comprises a high-definition camera, a laser radar, a high-precision positioning device and a vehicle-mounted unit, and is used for processing data sent by the sensing device and sending data to the road side unit or receiving data sent by the road side unit;
acquiring image data through a high-definition camera;
determining position data of the vehicle by a high-precision positioning device;
acquiring point cloud data through a laser radar, and calculating the distance between the vehicle and the object according to the time difference between the light wave emitted from the laser radar and the light wave reflected from the surface of the object;
and uploading the image data, the position data, the point cloud data and the distance information to a road side unit through an on-board unit, uploading the image data, the position data, the point cloud data and the distance information to a big data platform through the road side unit, performing data fusion calculation, and determining the driving track of the vehicle.
9. The device of claim 7, wherein the at least one processor is further configured to:
generating a pass ID by collecting vehicle information at an entry point when a vehicle enters from an entry point of a highway;
performing data fusion according to the acquired license plate information of the vehicle and the pass ID, and converting the license plate information into a hash character string with a fixed length;
creating a vehicle database uniquely corresponding to the hash character string according to the hash character string;
and storing the pass ID, the license plate and the Hash character string generated according to the pass ID and the license plate into the vehicle database.
10. A non-volatile storage medium storing computer-executable instructions, the computer-executable instructions configured to:
acquiring vehicle information of a plurality of data sources, and extracting the vehicle information into a data warehouse; the vehicle information comprises a pass ID and a license plate number of the vehicle;
performing hash processing on the pass ID and the license plate number to generate unique vehicle identity information and a vehicle database corresponding to the unique vehicle identity information;
acquiring vehicle operation data through sensing equipment, wherein the vehicle operation data comprises point cloud data acquired through a laser radar, image data acquired through a high-definition camera and position data acquired through a high-precision positioning device;
and performing data fusion on the vehicle running data, determining the running track of the vehicle, and storing the running track data in a vehicle database corresponding to the vehicle.
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