CN116612644A - Road traffic coordination management and control system based on Internet of things - Google Patents
Road traffic coordination management and control system based on Internet of things Download PDFInfo
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- CN116612644A CN116612644A CN202310900755.6A CN202310900755A CN116612644A CN 116612644 A CN116612644 A CN 116612644A CN 202310900755 A CN202310900755 A CN 202310900755A CN 116612644 A CN116612644 A CN 116612644A
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- 238000012544 monitoring process Methods 0.000 claims abstract description 21
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- 238000001514 detection method Methods 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 description 11
- 206010039203 Road traffic accident Diseases 0.000 description 4
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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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
- G06V20/625—License plates
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
The application discloses a road traffic coordination management and control system based on the Internet of things, which comprises a plurality of road electromechanical devices arranged on a road, wherein the road electromechanical devices comprise a road data acquisition module, a license plate recognition module, a wireless transmission module, a repeater module, a central total control module and an Internet of things application module which are sequentially connected, and the system is characterized in that: the license plate recognition module is used for receiving the front-end data to obtain a license plate recognition result; the application module of the internet of things is used for judging a fault vehicle and reporting fault information, storing and calling license plate identification information of a waiting vehicle behind the fault vehicle, performing no photographing treatment on illegal behaviors in the process of bypassing the waiting vehicle, and monitoring the processing condition of traffic events. The application can effectively restrain traffic illegal actions of non-motor vehicles and reduce the investment of police force for on-site illegal detection, thereby improving the operation efficiency of the whole system.
Description
Technical Field
The application relates to a road monitoring system, in particular to a road traffic coordination management and control system based on the Internet of things.
Background
Automobiles are now indispensable tools for each household, and the problems associated with automobiles must be solved while enjoying the convenience of the automobiles. Such as traffic jams, traffic accidents and illegal traveling, the internet of things technology can provide a solution to the problem to be solved to a great extent. The traffic signal lamp is an important component of traffic signals, and consists of a green light (on for indicating that traffic is allowed), a red light (on for indicating that traffic is forbidden) and a yellow light (on for indicating warning), is applicable to intersections with complex traffic such as cross and T, and is controlled by a road traffic signal controller to guide vehicles and pedestrians to pass safely and orderly.
However, in the existing traffic management system, there is a certain imperfection, and the traffic signal lamp only plays a role in guiding traffic vehicles to pass, and cannot handle certain conditions occurring at the intersection. But the vehicle will always have some faults. If the driver is mishandled, the traffic of the lane vehicles can be influenced, and the occurrence probability of traffic accidents can be increased.
Disclosure of Invention
Purpose of (one) application
Based on the above, in order to solve the problem that traffic accidents occur due to improper handling of drivers when vehicles fail, the application discloses the following technical scheme.
(II) technical scheme
The application discloses a road traffic coordination management and control system based on the Internet of things, which comprises a plurality of road electromechanical devices arranged on a road, wherein the road electromechanical devices comprise a road data acquisition module, a license plate recognition module, a wireless transmission module, a repeater module, a central total control module and an Internet of things application module which are sequentially connected, and the system is characterized in that:
the road data acquisition module is used for acquiring, analyzing, processing, storing and uploading front-end data;
the license plate recognition module is used for receiving the front-end data, and performing photographing and positioning, character segmentation and character recognition on the front-end data to obtain a license plate recognition result;
the wireless transmission module is used for providing a wireless transmission path between the road data acquisition module and the Internet of things application module;
the central total control module is used for inquiring the working state and the sensor value of the road electromechanical equipment, uniformly managing and distributing users and authorities and registering illegal records;
the application module of the Internet of things is used for judging a fault vehicle and reporting fault information, storing and calling license plate identification information of a waiting vehicle behind the fault vehicle, not photographing illegal behaviors in the process that the waiting vehicle bypasses the fault vehicle, monitoring the processing condition of traffic events, and timely recovering normal traffic.
In one possible implementation mode, the road acquisition module consists of a non-motor vehicle integrated electric police snap shooting unit, a reverse face bayonet snap shooting unit, a light supplementing unit and a comprehensive management and control integrated machine.
In one possible embodiment, the license plate recognition module includes:
photographing and positioning unit: defining a region with photographing characteristics in the front-end data as a candidate region, analyzing and judging the candidate region, and selecting an optimal region as a photographing region to perform image separation;
character segmentation unit: performing character segmentation on the photographing region to obtain a precisely positioned license plate region;
character recognition unit: and acquiring a license plate character library, and identifying the precisely positioned license plate region by utilizing the license plate character library to obtain a license plate identification result.
In a possible implementation manner, the analyzing and judging the candidate area, selecting the optimal area as the photographing area for image separation includes:
collecting a positive sample set and a negative sample set of a license plate image, extracting Haar-like Haar features of the positive sample set and the negative sample set to train a license plate classifier, and coarsely positioning a license plate region in the image to be detected by using the license plate classifier to obtain a photographing region.
In a possible implementation manner, the character segmentation is performed on the photographing area to obtain a precisely located license plate area, which includes:
and converting the photographing area into a gray level image, and analyzing vertical and horizontal projection information to determine the upper and lower boundaries and the left and right boundaries of the license plate so as to obtain a precisely positioned license plate area.
In one possible implementation manner, obtaining a license plate character library, identifying the precisely located license plate region by using the license plate character library, and obtaining a license plate identification result, including:
collecting a license plate character set containing preset license plate characters, analyzing character features of the preset license plate characters in the license plate character set by using an orthorhombic Tesseact engine, training to obtain a license plate character library, and identifying the fine positioning license plate region by using the license plate character library so as to determine an optimal region of the fine positioning license plate region to obtain a license plate identification result.
In one possible implementation manner, the repeater module is composed of a TCP/IP interface connected with a wired network, a 4G/5G interface connected with a commercial mobile network, a wireless communication unit connected with a wireless monitoring terminal and an ARM control system, and is used for controlling the road electromechanical equipment.
In one possible embodiment, the central overall control module comprises:
information display inquiry unit: displaying the working state and the sensor value of the current road electromechanical equipment, and inquiring the user through a set area, a set period and a set category;
system management unit: the large data platform realizes unified login, unified entry and unified display, realizes unified management and distribution of users and authorities, and functions comprise user management, department management, authority management, role management and area management, and realizes authorization and authentication management for personnel and departments;
registration reception means: and auditing, processing, canceling, inquiring and statistically processing the illegal records.
In one possible implementation manner, the application module of the internet of things includes:
and a timely fault unit: performing fault judgment on vehicles which do not move for a long time or move for a very short distance, and uploading fault information to a traffic management department;
traffic signal control unit: if the vehicle is in the recognition range, storing license plate recognition information of the vehicle to be detected, calling the license plate recognition information of the vehicle to be detected, and not photographing illegal behaviors in the process that the vehicle to be detected bypasses the vehicle to be detected;
and a wireless monitoring unit: and positioning and monitoring the traffic police for processing the fault vehicle, and canceling the command of illegal actions not performing photographing processing when the position of the traffic police is not in the incident place, so as to recover normal traffic.
In one possible embodiment, the road electromechanical device further comprises a power supply module, which is connected to the road data acquisition module for supplying power to the road electromechanical device.
(III) beneficial effects
1. According to the application, the Internet of things technology is utilized, and the wireless communication technology is combined, so that the Internet of things application module and the road data acquisition module can carry out short-distance wireless communication, a rear vehicle driver can quickly pass through the Internet of things application module, a fault vehicle can be quickly dealt with, the passing time can be shortened to the greatest extent, large-scale traffic jam is avoided, and the construction pace of a smart city is faster.
2. The license plate recognition module and the central main control module are matched for use, the illegal driving behaviors are shot, the intelligent motor vehicle management system is used for assisting the management and control of the traffic violations of the non-motor vehicles by means of technologies such as the Internet of things and artificial intelligence, the traffic violations of the non-motor vehicles can be effectively restrained, the investment of on-site illegal investigation and treatment police force can be reduced, the police working pressure is relieved, the running efficiency of the whole system is improved, and a better supervision and restraint effect is achieved for related drivers.
Drawings
The embodiments described below with reference to the drawings are exemplary and intended to illustrate and describe the application and should not be construed as limiting the scope of the application.
FIG. 1 is a block diagram of a road traffic coordination control system based on the Internet of things, which is disclosed by the application;
FIG. 2 is a block diagram of a license plate recognition module according to the present disclosure;
FIG. 3 is a block diagram of the central overall control module of the present disclosure;
fig. 4 is a block diagram of an application module of the internet of things disclosed in the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application become more apparent, the technical solutions in the embodiments of the present application will be described in more detail below with reference to the accompanying drawings in the embodiments of the present application.
An embodiment of the road traffic coordination management and control system based on the internet of things disclosed by the application is described in detail below with reference to fig. 1. The system disclosed by the embodiment comprises a plurality of road electromechanical devices arranged on a road, wherein each road electromechanical device comprises a power supply module, a road data acquisition module, a license plate recognition module, a wireless transmission module, a repeater module, a central total control module and an application module of the Internet of things, which are sequentially connected.
The road data acquisition module is used for acquiring, analyzing, processing, storing and uploading front-end data;
the license plate recognition module is used for receiving the front-end data, and performing photographing and positioning, character segmentation and character recognition on the front-end data to obtain a license plate recognition result;
the wireless transmission module is used for providing a wireless transmission path between the road data acquisition module and the Internet of things application module;
the central total control module is used for inquiring the working state and the sensor value of the road electromechanical equipment, carrying out unified management and distribution on users and authorities, and registering illegal records;
the application module of the internet of things is used for judging a fault vehicle and reporting fault information, storing and calling license plate identification information of a waiting vehicle behind the fault vehicle, carrying out no photographing treatment on illegal behaviors in the process that the waiting vehicle bypasses the fault vehicle, monitoring the processing condition of traffic events, and timely recovering normal traffic.
According to the intelligent vehicle traffic control system, the Internet of things technology is utilized, and meanwhile, the wireless communication technology is combined, so that the Internet of things application module and the road data acquisition module are used for carrying out short-distance wireless communication, a rear driver can quickly pass through the intelligent vehicle traffic control system, fault vehicles can be quickly dealt with the intelligent vehicle traffic control system, the passing time can be shortened to the greatest extent, large-scale traffic jams are avoided, the construction steps of a smart city are quicker, the license plate recognition module and the central main control module are matched for use, illegal driving behaviors are shot, and the intelligent vehicle management system is used for assisting in controlling the non-motor vehicle traffic violations by means of technologies such as the Internet of things and the artificial intelligence, so that the input of on-site illegal police can be effectively restrained, the police working pressure can be lightened, the running efficiency of the whole system is improved, and a better supervision and constraint effect is achieved for related drivers.
Preferably, the road acquisition module consists of a non-motor vehicle integrated electric police snapshot unit, a reverse face bayonet snapshot unit, a light supplementing unit and a comprehensive management and control integrated machine.
In the preferred embodiment, the control system is arranged in a scene of a lamp control intersection, and controls the non-motor vehicle integrated electric police snapshot unit to automatically snapshot the non-motor vehicle running the red light through the signal lamp detector. The integrated electric police snapshot unit of the non-motor vehicle adopts a high-definition camera with a built-in deep learning algorithm to realize illegal behavior identification, illegal process picture snapshot, license plate information acquisition and face image acquisition of the non-motor vehicle, and the terminal server can realize receiving, storing, inquiring and forwarding of front-end illegal pictures, data and videos and upload the front-end data to the license plate identification module.
Preferably, as shown in fig. 2, the license plate recognition module includes:
photographing and positioning unit: defining a region with photographing characteristics in the front-end data as a candidate region, analyzing and judging the candidate region, and selecting an optimal region as a photographing region to perform image separation; the photographing characteristics refer to the situation that the vehicle needs to photograph in a related manner, and photographing can be controlled according to the photographing characteristics.
Character segmentation unit: performing character segmentation on the photographing region to obtain a precisely positioned license plate region;
character recognition unit: and acquiring a license plate character library, and identifying the precisely positioned license plate region by utilizing the license plate character library to obtain a license plate identification result. Specifically, character recognition mainly depends on an artificial neural network algorithm and a template matching algorithm, wherein if a character recognition unit recognizes through the artificial neural network algorithm, a license plate recognition result can be obtained only by extracting character features or inputting images into a network; if the character recognition unit recognizes through the template matching algorithm, certain binarization is needed to be carried out on the segmented characters, the size of the characters is scaled, the characters in the templates are compared, and the final license plate recognition result is obtained through matching.
More preferably, the analyzing and judging the candidate area, selecting the optimal area as the photographing area for image separation includes: collecting a positive sample set and a negative sample set of a license plate image, extracting Haar-like Haar features of the positive sample set and the negative sample set to train a license plate classifier, and coarsely positioning a license plate region in the image to be detected by using the license plate classifier to obtain a photographing region.
More preferably, the character segmentation is performed on the photographing region to obtain a precisely positioned license plate region, which comprises the following steps: and converting the photographing area into a gray level image, and analyzing vertical and horizontal projection information to determine the upper and lower boundaries and the left and right boundaries of the license plate so as to obtain a precisely positioned license plate area.
More preferably, obtaining a license plate character library, and identifying the precisely positioned license plate region by using the license plate character library to obtain a license plate identification result, including: collecting a license plate character set containing preset license plate characters, analyzing character features of the preset license plate characters in the license plate character set by using an orthorhombic Tesseact engine, training to obtain a license plate character library, and identifying the fine positioning license plate region by using the license plate character library so as to determine an optimal region of the fine positioning license plate region to obtain a license plate identification result.
In a preferred embodiment, when the license plate recognition module recognizes the license plate of the candidate area, the situation that the license plate is blocked occurs when the road data acquisition module shoots, and at this time, the processing flow of the license plate recognition module is as follows:
carrying out preliminary license plate recognition of possible faults on the candidate license plate region with possible faults, and outputting a preliminary recognition result comprising preliminary recognition characters and confidence degrees corresponding to the preliminary recognition characters; judging according to the primary recognition result, and performing deep learning recognition on a license plate candidate region which meets preset shielding conditions and is likely to be faulty to obtain the number of characters and the position information of the characters obtained by the deep learning recognition; when the number of the characters is in a preset character number range, determining that a license plate candidate area which is likely to be faulty has license plate shielding which is likely to be faulty, and obtaining the number of the shielded characters in the license plate candidate area which is likely to be faulty; determining the position of a shielding character in a possibly faulty license plate according to the primary recognition character, the confidence level corresponding to the primary recognition character, the number of characters and the position information of the characters, replacing the shielding character with a special symbol in the primary recognition result, and outputting a final recognition result;
wherein, preset shielding conditions are:
the initial recognition result is a license plate with possible faults, the difference between the lowest confidence coefficient of the single character and the highest confidence coefficient of the single character is larger than a set threshold Dif_Thres, the lowest confidence coefficient of the single character is lower than a set Low threshold Low_Char_Thres, and the highest confidence coefficient of the single character is higher than a set High threshold high_Char_Thres;
or/and, the preliminary recognition result is that no license plate which is possibly faulty exists, and the sum of the confidence coefficients of the characters in the license plate candidate region which is possibly faulty is the highest in all license plate candidate regions which are possibly faulty of the image in which the license plate candidate region which is possibly faulty exists.
Preferably, the repeater module is composed of a TCP/IP interface connected with a wired network, a 4G/5G interface connected with a commercial mobile network, a wireless communication unit connected with a wireless monitoring terminal and an ARM control system, and is used for controlling the road electromechanical equipment. The ARM controller is internally provided with 256K high-speed FLASH and 64KSRAM to improve the working speed of the management and control system; under the control of the ARM controller, the monitoring information transmitted by the wireless terminal (sensor) is uploaded to a central control system in a TCP/IP or 4G/5G mode; the control instruction issued by the central control system is downloaded to the repeater in a TCP/IP or 4G/5G mode, and then forwarded to the corresponding wireless monitoring terminal by the wireless communication module of the repeater, and the control of the electromechanical equipment of each road is realized by utilizing the Internet of things technology and the wireless communication technology.
Preferably, the wireless transmission module uses a Zigbee technology to perform wireless transmission, where the Zigbee technology supports a mesh network, any wireless network node can serve as an AP and a router at the same time, each node in the network can send and receive signals, and each node can directly communicate with one or more peer nodes.
Preferably, as shown in fig. 3, the central overall control module includes:
information display inquiry unit: displaying the working state and the sensor value of the current road electromechanical equipment, and inquiring the user through a set area, a set period and a set category; the unit has three display query modes, namely a GIS map-based display query mode, and the position, working state information and the like of the road electromechanical equipment are directly marked on the road GIS map, so that the unit is more visual and intuitive; the second is a form-based display query mode, which has large information capacity and is convenient for statistical analysis; thirdly, a comprehensive display query mode is adopted, so that a user can set query display conditions, and the information most concerned by the user can be conveniently queried and displayed;
system management unit: the large data platform realizes unified login, unified entry and unified display, realizes unified management and distribution of users and authorities, and functions comprise user management, department management, authority management, role management and area management, and realizes authorization and authentication management for personnel and departments;
registration reception means: and auditing, processing, canceling, inquiring and statistically processing the illegal records.
More preferably, the control system is in butt joint with the electric warning platform, and timely receives the illegal information of the non-motor vehicle pushed by the electric warning platform, including texts and pictures. When the illegal times exceeds the specified times, the system can send a short message reminder.
Preferably, as shown in fig. 4, the application module of the internet of things includes:
and a timely fault unit: performing fault judgment on vehicles which do not move for a long time or move for a very short distance, and uploading fault information to a traffic management department;
traffic signal control unit: if the vehicle is in the recognition range, storing license plate recognition information of the vehicle to be detected, calling the license plate recognition information of the vehicle to be detected, and not photographing illegal behaviors in the process that the vehicle to be detected bypasses the vehicle to be detected;
the output signal of the sensor of the traffic signal control unit is subjected to A/D conversion and then is reported to the central control system through a network by the wireless communication module; the control instruction forwarded by the repeater is processed by the ARM system and then is controlled by the action of the solid-state relay or the PLC, each wireless monitoring terminal can be connected with two sensors in a matching way to control the start and stop of two electromechanical devices, and the wireless monitoring terminal can also be connected with one PLC device through a serial communication interface; the wireless communication module based on IEEE802.15.4 standard is arranged in the wireless monitoring terminal, so that the wireless monitoring terminal can automatically networking, and information can automatically find a path to transmit in the network. The internet of things is used for information transmission, communication is not provided with a fixed route, the fault of an individual network node does not affect the communication of other nodes, the system can automatically plan a new route, bypass the fault node, a completely confirmed data transmission mechanism is adopted, and each sent data packet must wait for the confirmation information of a receiver so as to ensure the accuracy and reliability of information transmission.
And a wireless monitoring unit: and positioning and monitoring the traffic police for processing the fault vehicle, and canceling the command of illegal actions not performing photographing processing when the position of the traffic police is not in the incident place, so as to recover normal traffic.
In a preferred embodiment, when a vehicle runs to a traffic light intersection and waits for passing, the monitoring device identifies the license plate of the vehicle in the identification range, and the identified information is stored in the database. When the green light is on, the front vehicle suddenly breaks down and cannot move, if the vehicle is found to be stopped in the solid line range or is located in a place which causes the rear vehicle to pass abnormally, at the moment, monitoring equipment at the intersection continuously recognizes the license plate of the fault vehicle, monitors the dynamic state of the vehicle and counts the time of the vehicle passing through the intersection, if the vehicle does not move or moves in a very short distance for 30 seconds, the vehicle is judged to be a fault vehicle, at the moment, the vehicle is communicated with a server, the license plate information of the vehicle is timely called out or recognized, waiting for the license plate information of the vehicle behind the fault vehicle, photographing of a compaction line is not carried out, the rear vehicle can bypass the fault vehicle in an allowed time range to pass by the adjacent lane, the road data acquisition module is not triggered to photograph, the straight vehicle and the right-turn vehicle can only bypass the fault vehicle from the left side of the fault vehicle, if the condition of the vehicle is the leftmost vehicle occurs, but other traffic accidents cannot be caused, and otherwise, the rear vehicle can be regarded as being responsible for passing by the road vehicle. Except the lane occupied by the fault vehicle, vehicles in other lanes still are restricted by the system under normal conditions and can not run across the line. If the red light is on, all vehicles still need to pass in normal order. When the green light is lighted for the second time, if the license plate recognition module still recognizes the previous fault vehicle, the timing is not performed, the command is directly sent, the compaction line photographing is not performed, the driving photographing is not performed according to the rule, until the traffic police arrives at the place of occurrence, and the cycle is ended. Meanwhile, after the vehicle is determined to be a fault vehicle, the condition is immediately reported to a server of the traffic management department, and the server of the traffic management department immediately sends a notification to enable nearby traffic police to conduct traffic dispersion as soon as possible, and the fault vehicle is processed to prevent large-area traffic jams. Meanwhile, the traffic police is provided with GPS positioning equipment associated with the master server, the server can monitor the geographic position of the traffic police in real time, when the system recognizes that the position of the traffic police is in the accident area, a command of not taking a picture of a compaction line is canceled, at the moment, the traffic of the section of intersection is restored to the original condition, the vehicles of the accident lane can not press the solid line to pass any more, and the road data acquisition module restores the original state to monitor the intersection;
the foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any changes or substitutions easily contemplated by those skilled in the art within the scope of the present application should be included in the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
In the description of the present application, it should be understood that the terms "center," "longitudinal," "lateral," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present application and simplifying the description, and do not indicate or imply that the device or element being referred to must have a specific orientation, be configured and operated in a specific orientation, and therefore should not be construed as limiting the scope of the present application.
Herein, "first", "second", etc. are used merely to distinguish one from another, and do not indicate their importance, order, etc.
The division of modules, units or components herein is merely a division of logic functions, and other manners of division are possible in actual implementation, e.g., multiple modules and/or units may be combined or integrated in another system. The modules, units, and components illustrated as separate components may or may not be physically separate. The components displayed as cells may be physical cells or may not be physical cells, i.e., may be located in a specific place or may be distributed in grid cells. And therefore some or all of the elements may be selected according to actual needs to implement the solution of the embodiment.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any changes or substitutions easily contemplated by those skilled in the art within the scope of the present application should be included in the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. The utility model provides a road traffic coordination management and control system based on thing networking, includes a plurality of road electromechanical device that set up on the road, road electromechanical device is including road data acquisition module, license plate recognition module, wireless transmission module, repeater module, central authorities total control module and thing networking application module that connect gradually, its characterized in that:
the road data acquisition module is used for acquiring, analyzing, processing, storing and uploading front-end data;
the license plate recognition module is used for receiving the front-end data, and performing photographing and positioning, character segmentation and character recognition on the front-end data to obtain a license plate recognition result;
the wireless transmission module is used for providing a wireless transmission path between the road data acquisition module and the Internet of things application module;
the central total control module is used for inquiring the working state and the sensor value of the road electromechanical equipment, uniformly managing and distributing users and authorities and registering illegal records;
the application module of the Internet of things is used for judging a fault vehicle and reporting fault information, storing and calling license plate identification information of a waiting vehicle behind the fault vehicle, not photographing illegal behaviors in the process that the waiting vehicle bypasses the fault vehicle, monitoring the processing condition of traffic events, and timely recovering normal traffic.
2. The system of claim 1, wherein the road collection module comprises a non-motor vehicle integrated electric police snap-shot unit, a reverse face bayonet snap-shot unit, a light supplementing unit, and a comprehensive management and control integrated machine.
3. The system of claim 1, wherein the license plate recognition module comprises:
photographing and positioning unit: defining a region with photographing characteristics in the front-end data as a candidate region, analyzing and judging the candidate region, and selecting an optimal region as a photographing region to perform image separation;
character segmentation unit: performing character segmentation on the photographing region to obtain a precisely positioned license plate region;
character recognition unit: and acquiring a license plate character library, and identifying the precisely positioned license plate region by utilizing the license plate character library to obtain a license plate identification result.
4. The system for managing and controlling road traffic as set forth in claim 3, wherein the analyzing and judging the candidate area, selecting an optimal area as a photographed area for image separation, comprises:
collecting a positive sample set and a negative sample set of a license plate image, extracting Haar-like Haar features of the positive sample set and the negative sample set to train a license plate classifier, and coarsely positioning a license plate region in the image to be detected by using the license plate classifier to obtain a photographing region.
5. The system of claim 4, wherein the character segmentation is performed on the photographed area to obtain a precisely positioned license plate area, comprising:
and converting the photographing area into a gray level image, and analyzing vertical and horizontal projection information to determine the upper and lower boundaries and the left and right boundaries of the license plate so as to obtain a precisely positioned license plate area.
6. The system of claim 5, wherein obtaining a license plate character library, identifying the precisely positioned license plate region using the license plate character library, and obtaining a license plate recognition result comprises:
collecting a license plate character set containing preset license plate characters, analyzing character features of the preset license plate characters in the license plate character set by using an orthorhombic Tesseact engine, training to obtain a license plate character library, and identifying the fine positioning license plate region by using the license plate character library so as to determine an optimal region of the fine positioning license plate region to obtain a license plate identification result.
7. The traffic coordination control system according to claim 1, wherein the repeater module is composed of a TCP/IP interface connected to a wired network, a 4G/5G interface connected to a commercial mobile network, a wireless communication unit connected to a wireless monitoring terminal, and an ARM control system for controlling the road electromechanical device.
8. The road traffic coordination control system of claim 1, wherein the central overall control module comprises:
information display inquiry unit: displaying the working state and the sensor value of the current road electromechanical equipment, and inquiring the user through a set area, a set period and a set category;
system management unit: the large data platform realizes unified login, unified entry and unified display, realizes unified management and distribution of users and authorities, and functions comprise user management, department management, authority management, role management and area management, and realizes authorization and authentication management for personnel and departments;
registration reception means: and auditing, processing, canceling, inquiring and statistically processing the illegal records.
9. The road traffic coordination control system of claim 1, wherein the internet of things application module comprises:
and a timely fault unit: performing fault judgment on vehicles which do not move for a long time or move for a very short distance, and uploading fault information to a traffic management department;
traffic signal control unit: if the vehicle is in the recognition range, storing license plate recognition information of the vehicle to be detected, calling the license plate recognition information of the vehicle to be detected, and not photographing illegal behaviors in the process that the vehicle to be detected bypasses the vehicle to be detected;
and a wireless monitoring unit: and positioning and monitoring the traffic police for processing the fault vehicle, and canceling the command of illegal actions not performing photographing processing when the position of the traffic police is not in the incident place, so as to recover normal traffic.
10. The roadway traffic coordination management and control system of claim 1, wherein said roadway electromechanical device further comprises a power supply module, said power supply module being coupled to said roadway data acquisition module for powering said roadway electromechanical device.
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