CN112907965B - Road fee evasion auditing method and system based on traffic data middleboxes - Google Patents
Road fee evasion auditing method and system based on traffic data middleboxes Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- G07B15/00—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
- G07B15/06—Arrangements for road pricing or congestion charging of vehicles or vehicle users, e.g. automatic toll systems
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
- H04L63/0428—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/12—Applying verification of the received information
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
Abstract
The invention relates to the technical field of data transmission, in particular to a road fee evasion auditing method and system based on a traffic data middling platform. The method includes acquiring vehicle image information through a camera to acquire ETC data; processing the vehicle image information to obtain vehicle flow data and license plate data, and comparing the vehicle flow data and the license plate data with ETC data to obtain abnormal data; performing data interaction by taking the constructed triple as a sub-platform of a traffic data middle platform; after the first receiving end path system and the second receiving end path system receive the abnormal information through identity authentication and decryption, validity authentication is carried out according to the abnormal data; and after the validity is passed, updating system data and storing the fee evasion vehicle information into a database according to the condition of a release terminal or additionally setting a fee check at a high-speed exit. According to the embodiment of the invention, the efficiency of the system data interaction process is higher through the interaction of the data in the triples, and the fee evasion vehicles can be processed in time.
Description
Technical Field
The invention relates to the technical field of data transmission, in particular to a road fee evasion auditing method and system based on a traffic data middling platform.
Background
With the development of economy, traffic is more and more convenient. More and more newly opened expressways are provided, and the traffic mileage is longer and longer. However, there are some bad phenomena that some illegal drivers have various illegal fee evasion phenomena on the expressway. The common illegal phenomena include card reversing, card changing, station violation fee evasion and the like.
At present, the road fee evasion auditing system is widely applied to highway business, and the digital transformation of the highway industry is driven by big data. However, there are several problems:
1. each service system takes each service system as a center, and cross-system service flow breakpoints exist.
2. The data sharing service capability is insufficient, and the data redundancy phenomenon exists.
Disclosure of Invention
In order to solve the above technical problems, the present invention aims to provide a road fee evasion auditing method and system based on traffic data middleboxes, and the adopted technical scheme is as follows:
the invention provides a road fee evasion auditing method based on a traffic data middleboard, which comprises the following steps:
collecting vehicle image information; obtaining ETC data, wherein the ETC data comprises vehicle information, transaction information and charging time record information;
processing the vehicle image information, obtaining traffic flow data and license plate data, and comparing the traffic flow data and the license plate data with the ETC data to obtain abnormal data, wherein the abnormal data comprises real-time data of license plate data of fee evasion vehicles;
performing data interaction by using the constructed triple as a sub-platform of a traffic data center station, wherein the triple is in the form of: a release end system, a receiving end first road segment system and a receiving end second road segment system;
after the first receiving end path system and the second receiving end path system receive the abnormal information through identity authentication and decryption, validity authentication is carried out according to the abnormal data;
updating system data and generating a real-time task after the validity of the first receiving end section system or the second receiving end section system passes, and storing the illegal license plate into a database if the issuing end system is an exit of a highway; and if the issuing end system is the entrance of the expressway, additionally setting a charging check according to the exit of the road section where the vehicle is located.
Further, after the obtaining the traffic data, adjusting a camera sampling rate according to the traffic data.
Further, the specific method for adjusting the sampling rate of the camera includes:
setting a traffic flow threshold m 1 The number of vehicles in the unit time is more than or equal to the vehicle flow threshold value m 1 When the sampling rate of the camera is increased, the sampling rate of the camera is increased; when the flow rate is less than the vehicle flow rate threshold value m 1 It returns to the original rate.
Further, the abnormal data also comprises offline data, and the offline data are data obtained by performing statistical analysis on traffic flow data and fee evasion condition multiple time period data within statistical time.
Further, the vehicle image information and the ETC data are compared to set a time interval T 1 。
Further, the method for storing the offline data in the triplet is as follows:
and performing equal-size segmentation on the offline data in the system according to the channel number, width and height of the tensor, and storing the offline data into a plurality of local units.
Further, the first and second receiving end segment systems are divided in the following manner:
if the road section where the issuing end system is located has two outgoing directions, the road section is divided by taking a road intersection point and an ETC (electronic toll Collection) point as nodes, and road section systems corresponding to the road sections with the two outgoing directions are respectively taken as a first receiving end section system and a second receiving end section system;
if the road section where the issuing end system is located only has one exit direction, the road is divided into an exit direction road section and an entrance direction road section in an equal ratio, and the exit direction road section and the entrance direction road section are respectively used as the receiving end first road section system and the receiving end second road section system.
Further, the method for verifying validity according to the abnormal data after the first receiving end segment system and the second receiving end segment system receive the data comprises the following steps:
and carrying out license plate recognition through the road monitoring of the first receiving end road section system and the second receiving end road section system for validity verification, and judging the road section where the vehicle is located.
Further, different triplets adopt different encryption modes.
The invention also provides a road fee evasion auditing system based on the traffic data middling station, which comprises a data acquisition module, a data analysis module, a data storage module, a data interaction module and an application module;
the data acquisition module is used for acquiring vehicle image information; obtaining ETC data, wherein the ETC data comprises vehicle information, transaction information and charging time record information;
the data analysis module is used for processing the vehicle image information, obtaining traffic flow data and license plate data and comparing the traffic flow data and the license plate data with the ETC data to obtain abnormal data, and the abnormal data comprises real-time data of license plate data of fee-evading vehicles;
the data interaction module is used for performing data interaction as a sub-platform of a traffic data center according to the constructed triple, and the triple is in the form of: a release end system, a receiving end first path segment system and a receiving end second path segment system;
the data validity verification module is used for verifying the validity according to the abnormal data after the first receiving end path system and the second receiving end path system receive the abnormal data through identity verification and decryption;
the application module is used for updating system data after the validity is passed and generating a real-time task, and storing the illegal license plate into a database if the issuing end system is a high-speed exit; and if the issuing end system is a high-speed entrance, additionally setting a charge verification according to the exit of the road section where the vehicle is located.
The invention has the following beneficial effects:
1. the data interaction is carried out by constructing the triple, so that the condition that each subsystem takes the subsystem as a center and a breakpoint occurs when the subsystem is interacted with the data of other subsystems is avoided. The data obtained in real time can be transmitted to the subsystem related to the data, so that the condition of data redundancy is avoided, and the system is more efficient when the fee evasion vehicle is processed
2. Data is stored in a distributed storage mode, storage equipment in the system is efficiently utilized, and the condition of insufficient storage capacity is avoided.
3. Different triples have respective identity authentication and data encryption methods, so that the safety of data transmission is ensured.
4. The obtained data is divided into a real-time data mode and an off-line data mode, so that the disorder of a system processing flow caused by the surge of big data is avoided.
5. The sampling rate of the camera is adjusted according to the traffic flow data result, the power consumption of the camera is reduced, and meanwhile the identification accuracy of the camera is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions and advantages of the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flowchart of a road fare evasion auditing method based on traffic data middleboxes according to an embodiment of the present invention;
fig. 2 is a block diagram of a road fare evasion auditing system based on traffic data middleboxes according to an embodiment of the present invention.
Detailed Description
To further illustrate the technical means and effects of the present invention adopted to achieve the predetermined objects, the following detailed description will be given to a road fare evasion checking method and system based on a traffic data middlebox according to the present invention, with reference to the accompanying drawings and preferred embodiments, and the detailed implementation, structure, features and effects thereof. In the following description, different "one embodiment" or "another embodiment" refers to not necessarily the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The following describes a specific scheme of a road fee evasion auditing method and system based on a traffic data middlebox in detail with reference to the accompanying drawings.
Referring to fig. 1, a flowchart of a road fare evasion auditing method based on a traffic data center according to an embodiment of the present invention is shown.
Step S1: and acquiring vehicle image information to acquire ETC data.
Vehicle image data is acquired by the RGB image. The RGB camera is deployed near the ETC channel to shoot the vehicle passing condition of the ETC channel. In one embodiment of the invention, a fisheye camera with a top view angle is deployed on the ETC passage height limiting rod, and the optical axis is vertical to the ground. In order to save consumables, a plurality of cameras can be deployed in a mode of combining common RGB cameras, and a panoramic image is obtained through image splicing and other modes and used for subsequent processing.
The ETC data includes vehicle information, banking transaction information, and toll collection time record information.
Step S2: and processing the vehicle image information to obtain vehicle flow data and license plate data, and comparing the vehicle flow data and the license plate data with the ETC data to obtain abnormal data.
According to the practical situation, an implementer can manually set an interested area, and the traffic flow data and the license plate data in the interested area are obtained through a pre-trained key point detection network and a license plate recognition technology.
The key point detection network training set is a plurality of RGB images collected by deployed cameras under various conditions including no vehicle, single vehicle, multiple vehicles and the like. The labeled data is hot spot information generated by a Gaussian convolution kernel with the key point as the center. The task required to be realized by the embodiment of the invention is vehicle counting, so the key point category is selected as one category, namely the central point of the vehicle chassis is taken as the key point. The network is trained using a mean square error loss function. The real-time collected RGB images are input into the trained key point detection network, and a heat map is output. Further obtain the vehicle track through multiframe heat map stack, set up the count line, after the vehicle track passes through the count line, count and add up 1. The passing judgment method is to judge the distance from the key point position to the counting line. Preferably, in order to facilitate the data obtained by image processing to correspond to ETC vehicle data in real time, in the embodiment of the invention, the counting line is arranged at an ETC bayonet.
The specific method for superposing the multi-frame heat maps comprises the following steps:
in the embodiment of the invention, the heat maps are selected for superposition according to the time sequence of three frames per second, and an implementer can automatically adopt a frame selection mode according to the time sequence according to the actual situation. The heat maps are superposed through a forgetting coefficient, and the calculation formula is as follows:
X＝αx+(1-α)x′
wherein X is the current frame thermodynamic diagram, X' is the previous frame accumulated thermodynamic diagram, X is the current frame accumulated thermodynamic diagram, and (1-alpha) is a forgetting coefficient.
In order to avoid misjudgment caused by adhesion of multiple vehicle tracks, alpha is more than or equal to 0.2. Specifically, α in the examples of the present invention was 0.2.
And the license plate information can be obtained through an OCR (optical character recognition) license plate recognition technology. In the embodiment of the invention, a method based on texture characteristics and wavelet analysis is adopted to overcome the influence of factors such as inclination and noise on the identification difficulty.
The method obtains traffic flow data and license plate data by using the image information. And comparing the obtained traffic flow data with the traffic flow data counted by the ETC, and judging that fee evasion occurs when two traffic flow results are inconsistent. It should be noted that, since image processing is only performed locally, ETC information needs to be authenticated, interacted with a server, and the image processing speed may not be the same as the ETC information calling speed due to the limitation of bandwidth and other factorsAlso, therefore, a reservation time interval T is required 1 In the embodiment of the present invention, the time interval T is set 1 Is 0.5s, and can be adjusted by an implementer according to actual conditions.
And selecting the image closest to the counting line to perform license plate recognition, obtaining corresponding license plate data for all vehicles, comparing the license plate data with the license plate data collected by the ETC, and obtaining abnormal data when fee evasion occurs. The exception data includes real-time data and offline data. The real-time data is the license plate data which does not appear after comparative analysis and needs to be issued to other subsystems from the current subsystem in real time. The offline data specifically comprises data obtained through simple data statistics and analysis, such as traffic flow data in statistical time, fee evasion condition multi-issue time interval data and the like, and is issued to other subsystems according to a preset updating period. The updating period can be set according to actual conditions, and preferably, the period is set to be updated once in 3 days in the embodiment of the invention.
The data are divided into two types, so that the efficiency of processing the data in real time by the system is ensured, and the reduction of the data processing efficiency of the subsystem caused by the inrush of big data is avoided.
Preferably, in order to save power consumption of the camera and improve working efficiency of the camera, the sampling rate of the camera can be adjusted in real time by counting the number of vehicles in unit time. When the vehicle exceeds a preset first threshold value m in unit time 1 The camera sampling rate is increased. In the embodiment of the present invention, the unit time is set to 0.5h, and the first threshold value m 1 Set to 300, the initial camera sampling rate is set to 15 frames/sec and when the increase sampling rate adjustment is satisfied, the sampling rate is increased to 30 frames/sec. The implementer can set the parameters according to the actual situation.
Step S3: and performing data interaction by using the constructed triple as a sub-platform of the traffic data center.
Because the vehicle is driven at high speed without allowing reversing and has a plurality of driving road sections, the triple is constructed to be used as a sub-platform of the traffic data center station to carry out real-time data interaction. The triplet is in the form of < the first subsystem at the issuing end, the first road segment system at the receiving end, and the second road segment system at the receiving end >.
The way of dividing the subsystems in the triples is as follows: if two exit directions exist in the issuing end road section, dividing the road section by taking the road intersection point and the ETC toll collection point as nodes, and taking the two exit direction road sections as a first receiving end road section system and a second receiving end road section system respectively; if the issuing end road segment only has one exit direction, the exit direction road segment and the entrance direction road segment are divided on the road in an equal ratio mode, and the exit direction road segment and the direction road segment are respectively used as a first receiving end road segment system and a second receiving end road segment system. It should be noted that if the issuing end is a high-speed egress subsystem, data interaction is not required, and no triple is constructed, so that no discussion is provided.
The triple is arranged, so that the real-time emergency data can be rapidly transmitted to the adjacent road section, the validity verification and the generation of subsequent tasks are facilitated, the real-time emergency processing efficiency is improved, the data redundancy condition is avoided, and the requirement on transmission bandwidth is reduced. The triple avoids the problem that each subsystem takes itself as the center and the data interaction with other subsystems has breakpoints.
And encrypting the real-time data and the off-line data in each system in the triple by adopting a tensor reshape encryption mode. Because the data volume of the real-time data is small, the real-time data can be directly stored. The off-line data is time sequence accumulated data, the data volume is large, the tensor is equally segmented according to the number, width and height of channels and stored in a plurality of units at the local end, distributed storage is achieved, and the situation that the data volume exceeds the storage capacity of a single unit due to overlarge data volume is avoided.
All the subsystems of the invention adopt the storage mode for storage, so that the data storage standards among the systems are consistent, and the data interaction is more efficient.
The first subsystem of the issuing end combines the unique data and the real-time random data to form a vector, the vector is used as identity authentication data, and data transmission is performed after single-key encryption. In the embodiment of the invention, the specific data can adopt data such as machine numbers of hardware in the subsystem and the like, the real-time data can adopt data such as real-time standard time and the like, and an implementer can set the data according to the actual situation.
In order to reduce the risk of cracking, different keys and tensor reshape modes are adopted for different triples.
In the embodiment of the invention, all subsystems exchange data according to the triple rule, so that the problem of inconsistent data exchange standards is solved, and the safety of data transmission is improved.
Step S4: and after the first receiving end path system and the second receiving end path system receive the abnormal information through identity authentication and decryption, validity authentication is carried out according to the abnormal data.
After the first receiving end segment system and the second receiving end segment system receive the authentication data and the encrypted abnormal data, the authentication data and the encrypted abnormal data are decrypted through a preset key to perform authentication, and the abnormal data are decrypted after the authentication is passed.
After the first receiving end path system and the second receiving end path system receive the abnormal data, the validity of the data needs to be verified according to the obtained abnormal data.
And for the real-time data, carrying out license plate recognition for validity verification through road monitoring of the first road section system of the receiving end and the second road section system of the receiving end, and judging the road section where the vehicle is located.
And for the offline data, performing data integration and comparison of transmission data between the first path segment system of the receiving end and the second path segment system of the receiving end in the triple group for validity verification. The data transmission process is prevented from being tampered or lost.
Step S5: and updating system data and generating a real-time task after the validity passes.
After the validity verification is passed, generating a real-time task for the real-time data, and if the first subsystem at the issuing end is a high-speed exit subsystem, storing the license plate of the fee-evading vehicle into a file; and if the first subsystem at the issuing end is not the high-speed exit subsystem, adding a charging check according to the exit of the road section where the vehicle is located.
Referring to fig. 2, a block diagram of a road fare evasion auditing system based on traffic data middleboxes according to an embodiment of the present invention is shown. The system comprises: the system comprises a data acquisition module 101, a data analysis module 102, a data storage module 103, a data interaction module 104 and an application module 105.
The data acquisition module 101 is used for acquiring vehicle image information; ETC data is obtained, the ETC data including vehicle information, transaction information, and toll collection time record information.
The data analysis module 102 is configured to process vehicle image information, obtain traffic flow data and license plate data, and compare the traffic flow data and the license plate data with the ETC data to obtain abnormal data, where the abnormal data includes real-time data of license plate data of a fee-evading vehicle.
The data interaction module 103 is configured to perform data interaction according to the constructed triple serving as a sub-platform of the traffic data center station, where the triple is in the form of: < issuing end system, receiving end first road segment system, receiving end second road segment system >.
The data validity verification module 104 is configured to perform validity verification according to the abnormal data after the first receiving-end segment system and the second receiving-end segment system pass identity verification and decrypt and receive the abnormal data.
The application module 105 is used for updating data after the validity passes and generating a real-time task for the real-time data, and storing the illegal license plate into a database if the issuing end system is a high-speed outlet subsystem; if the issuing end system is a high-speed entrance, a charge check is added according to the exit of the road section where the vehicle is located.
It should be noted that: the precedence order of the above embodiments of the present invention is only for description, and does not represent the merits of the embodiments. And specific embodiments thereof have been described above. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (9)
1. A road fee evasion auditing method based on a traffic data center is characterized by comprising the following steps:
collecting vehicle image information; obtaining ETC data, wherein the ETC data comprises vehicle information, transaction information and charging time record information;
processing the vehicle image information, obtaining traffic flow data and license plate data, and comparing the traffic flow data and the license plate data with the ETC data to obtain abnormal data, wherein the abnormal data comprises real-time data of license plate data of fee evasion vehicles;
performing data interaction by using the constructed triple as a sub-platform of a traffic data center station, wherein the triple is in the form of: a release end system, a receiving end first path segment system and a receiving end second path segment system;
after the first receiving end path system and the second receiving end path system receive the abnormal information through identity authentication and decryption, validity authentication is carried out according to the abnormal data;
updating system data and generating a real-time task after the validity of the first road segment system of the receiving end or the second road segment system of the receiving end passes, and storing the illegal license plate into a database if the issuing end system is an exit of a highway; if the issuing end system is an entrance of the expressway, a charging check is additionally set according to an exit of a road section where the vehicle is located;
the first receiving end path system and the second receiving end path system are divided in the following modes:
if the road section where the issuing end system is located has two exit directions, road sections are divided by taking a road intersection point and an ETC toll collection point as nodes respectively, and road section systems corresponding to the road sections in the two exit directions are taken as the first receiving end section system and the second receiving end section system respectively;
if the road section where the issuing end system is located only has one exit direction, the road is divided into an exit direction road section and an entrance direction road section in an equal ratio, and the exit direction road section and the entrance direction road section are respectively used as the receiving end first road section system and the receiving end second road section system.
2. The method as claimed in claim 1, wherein the step of obtaining the traffic data further comprises adjusting a camera sampling rate according to the traffic data.
3. The method as claimed in claim 2, wherein the method for auditing road fare evasion based on traffic data includes:
setting a traffic flow threshold m1, and increasing the sampling rate of the camera when the number of vehicles in unit time is greater than or equal to the traffic flow threshold m 1; and when the speed is less than the vehicle flow threshold value m1, the speed is restored to the initial speed.
4. The method as claimed in claim 1, wherein the abnormal data further includes off-line data, and the off-line data is data obtained by statistically analyzing traffic flow data and data of the time period of the multiple fare evasion situations within the statistical time.
5. The method according to claim 1, wherein the image information of the vehicle is compared with the ETC data for a time interval T 1 。
6. The method as claimed in claim 4, wherein the offline data is stored in the triplet by the following method:
and performing equal-size segmentation on the offline data in the system according to the channel number, width and height of the tensor, and storing the offline data into a plurality of local units.
7. The method as claimed in claim 1, wherein the method for auditing road fare evasion based on the traffic data middleboxes, after receiving the data, of the first receiving end and the second receiving end according to the abnormal data, comprises:
and carrying out license plate recognition through the road monitoring of the first receiving end road section system and the second receiving end road section system for validity verification, and judging the road section where the vehicle is located.
8. The method as claimed in claim 1, wherein the triplets are encrypted differently.
9. A road fee evasion auditing system based on a traffic data center is characterized by comprising a data acquisition module, a data analysis module, a data storage module, a data interaction module and an application module;
the data acquisition module is used for acquiring vehicle image information; obtaining ETC data, wherein the ETC data comprises vehicle information, transaction information and charging time record information;
the data analysis module is used for processing the vehicle image information, obtaining traffic flow data and license plate data and comparing the traffic flow data and the license plate data with the ETC data to obtain abnormal data, and the abnormal data comprises real-time data of license plate data of fee-evading vehicles;
the data interaction module is used for performing data interaction as a sub-platform of a traffic data center according to the constructed triple, and the triple is in the form of: a release end system, a receiving end first path segment system and a receiving end second path segment system;
the data validity verification module is used for verifying the validity according to the abnormal data after the first receiving end path system and the second receiving end path system receive the abnormal data through identity verification and decryption;
the application module is used for updating system data after the validity is passed and generating a real-time task, and storing the illegal license plate into a database if the issuing end system is a high-speed exit; if the issuing end system is a high-speed entrance, a charging check is additionally set according to an exit of a road section where the vehicle is located;
the first receiving end path system and the second receiving end path system are divided in the following modes:
if the road section where the issuing end system is located has two outgoing directions, the road section is divided by taking a road intersection point and an ETC (electronic toll Collection) point as nodes, and road section systems corresponding to the road sections with the two outgoing directions are respectively taken as a first receiving end section system and a second receiving end section system;
if the road section where the issuing end system is located only has one exit direction, the road is divided into an exit direction road section and an entrance direction road section in an equal ratio, and the exit direction road section and the entrance direction road section are respectively used as the receiving end first road section system and the receiving end second road section system.
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