CN111126374A

CN111126374A - Highway ETC passenger flow image acquisition method based on big data

Info

Publication number: CN111126374A
Application number: CN201911335323.5A
Authority: CN
Inventors: 洪智勇
Original assignee: Ningbo Digital Information Technology Co Ltd
Current assignee: Ningbo Digital Information Technology Co Ltd
Priority date: 2019-12-23
Filing date: 2019-12-23
Publication date: 2020-05-08

Abstract

The invention discloses a big data highway ETC passenger flow image acquisition method based on the field of image acquisition, which comprises an ETC vehicle, an ETC detection module, an ETC lane control module, an image acquisition module, a network communication module and a big data cloud end, wherein high-definition cameras are arranged in four directions of the position of a coil detection module to shoot the ETC vehicle at 360 degrees without dead angles, a light supplement lamp and an infrared light supplement element are added to ensure that the image acquisition is omnibearing and clear, the data are stored by uploading the big data cloud end in real time without manually maintaining and increasing a server, the big data are used for analyzing and summarizing the data, the license plate of the vehicle is compared with the specific model number, the ETC passenger flow data in different time periods are comprehensively summarized and analyzed, the data processing speed is improved, and the ETC customer service adjustment is facilitated.

Description

Highway ETC passenger flow image acquisition method based on big data

Technical Field

The invention relates to the field of image acquisition, in particular to a highway ETC passenger flow image acquisition system and method based on big data.

Background

With the development of economy, vehicles are increasing day by day, more people choose to drive to go out, so that the toll collection of an artificial toll station on an expressway is slower under the condition of more traffic, ETC is derived, namely, an electronic toll collection system is an automatic toll collection of the expressway or a bridge, the aim of paying the expense of the expressway or the bridge without stopping the vehicle through the expressway or the bridge toll collection station is fulfilled by special short-range communication between a vehicle-mounted electronic tag mounted on a vehicle windshield and a microwave antenna on an ETC lane of the toll collection station and utilizing a computer networking technology and a bank, the current situation of the ETC system has the defects of larger data flow, slow data processing, manual maintenance and increase required by the traditional server data storage, single camera and incomplete and clear passenger flow image acquisition, the method is not beneficial to timely adjustment of ETC customer service, and therefore the method for collecting the image of the ETC passenger flow on the highway based on the big data is provided.

Disclosure of Invention

The invention aims to provide an ETC passenger flow image acquisition system based on a big data highway, and aims to solve the problems that the ETC system has large data flow and slow data processing in the prior art, the traditional server needs manual maintenance and increase in data storage, a camera is single, the image acquisition of the passenger flow is not comprehensive and clear enough, and the timely adjustment of ETC customer service is not facilitated.

In order to achieve the purpose, the invention provides the following technical scheme: the utility model provides a based on big data highway ETC passenger flow image acquisition system, the system includes the ETC vehicle, ETC detection module, ETC lane control module, image acquisition module, network communication module and big data high in the clouds, the ETC vehicle is used for bearing the electronic tags and accepts ETC detection module detection and image acquisition module and carry out image acquisition, ETC detection module is used for carrying out information detection and comparison to the ETC vehicle, ETC lane control module is used for the equipment module on the automatic control operation ETC lane, image acquisition module is used for carrying out image information acquisition to the ETC vehicle, network communication module is used for the image information that image acquisition module gathered and the vehicle information that ETC detection module detected to carry out the network and uploads, big data high in the clouds is used for storing and handling the picture information that image acquisition module gathered and gathers the ETC passenger flow and carry out the analysis of gathering.

Preferably, the ETC vehicle is provided with an electronic tag, wherein the electronic tag is a double-piece electronic tag, and the electronic tag is used for receiving and sending read-write antenna information.

Preferably, the ETC detection module includes coil detection module, reading and writing antenna, license plate recognition module and motorcycle type recognition module, coil detection module is used for judging whether there is the ETC vehicle exists on the lane, the reading and writing antenna be used for with electronic tags carries out the communication and receives and send information, license plate recognition module is used for the discernment to wait to detect the license plate information of ETC vehicle, motorcycle type recognition module is used for the discernment to wait to detect the motorcycle type information of ETC vehicle.

Preferably, the ETC lane control module includes control railing, current signal lamp and alarm, the control railing is used for intercepting and letting go to the ETC vehicle, current signal lamp is used for the suggestion whether the ETC vehicle can pass, the alarm is used for when the ETC detects not passing, through ETC lane control module controls the jingle bell alarm.

Preferably, the image acquisition module includes high definition digtal camera, light filling lamp and infrared light filling component, high definition digtal camera is used for gathering ETC vehicle image information, the light filling lamp is used for doing the high definition digtal camera supplyes luminance when shooing under the dim light condition, infrared light filling component is used for assisting high definition digtal camera shoots night.

Preferably, the number of the high-definition cameras is four, and the four high-definition cameras are respectively located above the left, above the right, below the left and below the right of the coil detection module and used for acquiring images and avoiding dead-angle shooting.

The invention also provides another technical scheme: a big data highway ETC passenger flow image acquisition method comprises the following steps: detecting and comparing the ETC vehicle through the ETC detection module; the control image acquisition module is used for acquiring images of the ETC vehicle in the coil detection module; and storing and processing the picture information and the ETC passenger flow acquired by the image acquisition module through the big data cloud.

Preferably, through read write antenna with electronic tags carries out radio frequency communication, read write antenna accepts electronic tags's registered vehicle information, works as ETC vehicle drives into coil detection module, image acquisition module carries out all-round image acquisition, license plate recognition module with motorcycle type recognition module is right ETC vehicle license plate and motorcycle type carry out automatic identification.

Preferably, the high-definition camera in the image acquisition module is located at four directions of the upper left side, the upper right side, the lower left side and the lower right side of the coil detection module for shooting, the light supplement lamp provides brightness compensation when the surrounding shooting environment is darker than a normal value, and the infrared light supplement element allows infrared light in a certain wave band to pass through in an extremely dark environment, absorbs or reflects visible light and ultraviolet light, and assists the high-definition camera in shooting dark light.

Preferably, the image information collected by the image collection module and the ETC vehicle information detected by the ETC detection module are uploaded to the big data cloud terminal through the network communication module to be subjected to information storage, and the big data cloud terminal is used for calculating and analyzing the stored information.

Compared with the prior art, the invention has the beneficial effects that: the utility model provides a based on big data highway ETC passenger flow image acquisition system and method, through placing high definition digtal camera in four directions in coil detection module position, 360 degrees do not have the dead angle to shoot the ETC vehicle, light filling lamp and infrared light filling component have been increased, make the picture gather all-round clear, through uploading big data high in the clouds in real time, store data, need not the manual work and maintain and increase the server, use big data to carry out the analysis to data and gather, compare vehicle license plate and specific model, ETC passenger flow data carries out comprehensive gathering and analysis to different periods of time, the data processing speed is improved, the ETC customer service adjustment of being convenient for.

Drawings

FIG. 1 is a schematic flow diagram of the present invention;

FIG. 2 is a schematic diagram of the ETC structure of the present invention.

In the figure: ETC vehicle 100, electronic tags 110, ETC detection module 200, coil detection module 210, reading and writing antenna 220, license plate recognition module 230, motorcycle type recognition module 240, ETC lane control module 300, control railing 310, current signal lamp 320, alarm 330, image acquisition module 400, high definition digtal camera 410, light filling lamp 420, infrared light filling component 430, network communication module 500, big data high in the clouds 600.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, 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 invention.

The invention provides a method for acquiring an ETC passenger flow image on a highway based on big data, which ensures that the image acquisition is comprehensive and clear, does not need to manually maintain and increase a server, improves the data processing speed, is convenient for ETC customer service adjustment, and please refer to fig. 1-2, and comprises an ETC vehicle 100, an ETC detection module 200, an ETC lane control module 300, an image acquisition module 400, a network communication module 500 and a big data cloud 600;

referring to fig. 1-2 again, the ETC vehicle 100 is fixedly connected with an electronic tag 110, the ETC vehicle 100 is used for installing a carrier of the electronic tag 110, and the electronic tag 110 is used for receiving and transmitting information of the read-write antenna 220;

referring to fig. 1-2 again, the ETC detection module 200 includes a coil detection module 210, a read-write antenna 220, a license plate recognition module 230 and a vehicle type recognition module 240, the ETC detection module 200 is connected to the ETC vehicle 100 in a two-way communication manner, the ETC detection module 200 is used for performing information detection on the ETC vehicle, the coil detection module 210 is used for judging whether the ETC vehicle 100 exists on a lane, the read-write antenna 220 is used for communicating with the electronic tag 110 and receiving and sending information, the license plate recognition module 230 is used for recognizing license plate information of the ETC vehicle 100 to be detected, and the vehicle type recognition module 240 is used for recognizing vehicle type information of the ETC vehicle 100 to be detected;

referring to fig. 1-2 again, the ETC lane control module 300 includes a control rail 310, a pass signal lamp 320 and an alarm 330, the lane control module 300 is electrically connected to the ETC detection module 200, the ETC lane control module 300 is used for controlling and operating the control rail 310, the pass signal lamp 320 and the alarm 330, the control rail 310 is used for intercepting and passing the ETC vehicle 100, the pass signal lamp 320 is used for prompting whether the ETC vehicle 100 can pass, and the alarm 330 is used for ringing and alarming when the ETC does not pass;

referring to fig. 1-2 again, the image acquisition module 400 includes a high-definition camera 410, a light supplement lamp 420 and an infrared light supplement element 430, the ETC image acquisition module 400 acquires images of the ETC vehicle 100, the image acquisition module 400 is used for acquiring images of the ETC vehicle 100, the high-definition camera 410 is used for acquiring image information of the ETC vehicle 100, the light supplement lamp 420 is used for providing exposure for the high-definition camera 410, and the infrared light supplement element 430 is used for assisting the high-definition camera 410 to perform night shooting;

referring again to fig. 1-2, the network communication module 500 is connected to the image capturing module 400 via a network input, and the network communication module 500 is used for the image capturing module 400 to perform network communication with the big data cloud 600;

referring to fig. 1-2 again, the big data cloud 600 is connected to the network communication module 500 in a network bidirectional manner, and the big data cloud 600 is used for storing and processing the picture information acquired by the image acquisition module 400 and performing summary analysis on the ETC passenger flow;

referring to fig. 1-2 again, in order to enable the read-write antenna 220 to transmit and receive the information of the electronic tag 110 bidirectionally, the read-write antenna 220 is connected to the electronic tag 110 in a bidirectional communication manner, and the electronic tag 110 is a two-piece electronic tag;

referring to fig. 1-2 again, in order to realize unmanned charging, the license plate recognition module 230 and the vehicle type recognition module 240 are automatic recognition modules;

referring to fig. 1-2 again, in order for the ETC lane control module 300 to control the control balustrade 310, the traffic signal lamp 320 and the alarm 330, the control balustrade 310, the traffic signal lamp 320 and the alarm 330 are electrically connected to the ETC lane control module 300;

referring to fig. 1-2 again, in order to ensure the quality of image acquisition and avoid dead angle shooting, the light supplement lamp 420 and the infrared light supplement element 430 are electrically connected to the high definition cameras 410, and the number of the high definition cameras 410 is four, and the four high definition cameras 410 are respectively located at the upper left, the upper right, the lower left and the lower right of the coil detection module 210;

referring again to fig. 1-2, in order to upload the detection information to the big data cloud 600, the network communication module 500 is network-connected to the ETC detection module 200 in two ways.

The working principle is as follows: when the ETC vehicle 100 enters the ETC lane, the read-write antenna 220 and the electronic tag 110 carry out radio frequency communication, the read-write antenna 220 receives vehicle information registered by the electronic tag 110, a display screen on the lane displays the transaction amount and license plate information of the ETC vehicle 100, the vehicle 100 enters the coil detection module 210, the license plate recognition module 230 and the vehicle type recognition module 240 automatically recognize the license plate and the vehicle type of the ETC vehicle 100, the image acquisition module 400 carries out omnibearing image acquisition and compares the registered vehicle information of the electronic tag with the actual ETC vehicle 100 information, the high-definition camera 410 in the image acquisition module 400 is positioned at four directions of the upper left side, the upper right side, the lower left side and the lower right side of the coil detection module 210 for 360-degree shooting, the light supplementing lamp 420 gives brightness compensation when the surrounding shooting environment is darker than a normal value to assist the high-definition camera 410 in dark light shooting, image information that image acquisition module 400 gathered and ETC vehicle 100 information that ETC detection module 200 detected, upload big data high in the clouds 600 through network communication module 500 and carry out information storage, big data high in the clouds 600 carries out computational analysis to the information of storing, compare errorlessly, ETC lane control module 300 control railing 310 lifts the clearance, the transaction is accomplished, it reports to the police to compare to have wrong ETC lane control module 300 control alarm 330, control railing 310 does not pass, and hand charge department carries out manual processing.

In the several embodiments provided by the embodiments of the present invention, it should be understood that the disclosed systems and methods may be implemented in other ways and that the system and method embodiments described above are merely illustrative, for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part. It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus 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 apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.

The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. The utility model provides a highway ETC passenger flow image acquisition system based on big data which characterized in that: the system comprises an ETC vehicle (100), an ETC detection module (200), an ETC lane control module (300), an image acquisition module (400), a network communication module (500) and a big data cloud (600), wherein the ETC vehicle (100) is used for bearing an electronic tag (110) and receiving detection of the ETC detection module (200) and image acquisition of the image acquisition module (400), the ETC detection module (200) is used for carrying out information detection and comparison on the ETC vehicle, the ETC lane control module (300) is used for automatically controlling and operating equipment modules on an ETC lane, the image acquisition module (400) is used for carrying out image information acquisition on the ETC vehicle (100), the network communication module (500) is used for carrying out network uploading on image information acquired by the image acquisition module (400) and vehicle information detected by the ETC detection module (200), the big data cloud (600) is used for storing and processing the picture information acquired by the image acquisition module (400) and carrying out summary analysis on ETC passenger flow.

2. The ETC passenger flow image acquisition system based on the big data highway according to claim 1, characterized in that: the ETC vehicle (100) is provided with an electronic tag (110), wherein the electronic tag (110) is a two-piece electronic tag, and the electronic tag (110) is used for receiving and sending information of a read-write antenna (220).

3. The ETC passenger flow image acquisition system based on the big data highway according to claim 1, characterized in that: ETC detection module (200) include coil detection module (210) read and write antenna (220), license plate recognition module (230) and motorcycle type recognition module (240), coil detection module (210) are used for judging whether there ETC vehicle (100) exist on the lane, read and write antenna (220) be used for with electronic tags (110) carry out the communication and receive and send information, license plate recognition module (230) are used for the discernment to wait to detect the license plate information of ETC vehicle (100), motorcycle type recognition module (240) are used for the discernment to wait to detect the motorcycle type information of ETC vehicle (100).

4. The ETC passenger flow image acquisition system based on the big data highway according to claim 1, characterized in that: the ETC lane control module (300) includes control railing (310), pass signal lamp (320) and alarm (330), control railing (310) are used for intercepting and passing ETC vehicle (100), pass signal lamp (320) are used for the suggestion ETC vehicle (100) whether can pass, alarm (330) are used for when ETC detects not passing, through ETC lane control module (300) control ringing alarm.

5. The ETC passenger flow image acquisition system based on the big data highway according to claim 1, characterized in that: image acquisition module (400) include high definition digtal camera (410), light filling lamp (420) and infrared light filling component (430), high definition digtal camera (410) are used for gathering ETC vehicle (100) image information, light filling lamp (420) are used for doing when taking a picture high definition digtal camera (410) under the dim light condition supplementary luminance, infrared light filling component (430) are used for assisting high definition digtal camera (410) take night.

6. The ETC passenger flow image acquisition system based on the big data highway according to claim 5, characterized in that: the number of the high-definition cameras 410 is four, and the four high-definition cameras are respectively located above the left, above the right, below the left and below the right of the coil detection module 210 and used for image acquisition and dead-angle shooting avoidance.

7. A highway ETC passenger flow image acquisition method based on big data is characterized in that: the method comprises the following steps: detecting and comparing the ETC vehicle (100) through the ETC detection module (200); image acquisition of the ETC vehicle (100) in the coil detection module (210) by the control image acquisition module (400); the picture information and ETC passenger flow collected by the image collection module (400) are stored and processed through the big data cloud (600).

8. The ETC passenger flow image acquisition method based on the big data highway according to claim 7, characterized in that: through read write antenna (220) with electronic tags (110) carry out radio frequency communication, read write antenna (220) are received the vehicle information that electronic tags (110) registered works as ETC vehicle (100) are driven into coil detection module (210), all-round image acquisition is carried out to image acquisition module (400), license plate recognition module (230) with motorcycle type recognition module (240) are right ETC vehicle (100) license plate and motorcycle type carry out automatic identification.

9. The big-data highway ETC passenger flow image acquisition method according to claim 8, wherein said high-definition camera (410) in said image acquisition module (400) is located at four directions of upper left, upper right, lower left and lower right of said coil detection module 210 for 360 degree photography, said fill light lamp (420) provides brightness compensation when the surrounding photography environment is darker than normal value, said infrared fill light component (430) passes infrared light in a certain wave band in extremely dark environment, absorbs or reflects visible light and ultraviolet light, and assists said high-definition camera (410) in dark photography.

10. The ETC passenger flow image acquisition method based on the big data highway according to claim 7, characterized in that: the ETC vehicle (100) information that image information and ETC detection module (200) that the image acquisition module (400) gathered detected upload through network communication module (500) big data high in the clouds (600) and carry out information storage, big data high in the clouds (600) carry out computational analysis to the information that stores.