CN217426263U - Holographic road network road monitoring system - Google Patents
Holographic road network road monitoring system Download PDFInfo
- Publication number
- CN217426263U CN217426263U CN202220921006.2U CN202220921006U CN217426263U CN 217426263 U CN217426263 U CN 217426263U CN 202220921006 U CN202220921006 U CN 202220921006U CN 217426263 U CN217426263 U CN 217426263U
- Authority
- CN
- China
- Prior art keywords
- module
- radar
- road
- monitoring system
- holographic
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Abstract
The utility model discloses a holographic road network road monitored control system, include: the system comprises a radar identification unit, a visual identification unit, an edge calculation server, a traffic signal controller, an industrial personal computer and an RSU module, wherein the edge calculation server is respectively in communication connection with the radar identification unit and the visual identification unit, and the industrial personal computer is respectively in communication connection with the edge calculation server, the traffic signal controller and the RSU module. The utility model discloses accomplish based on urban road connection network's calculation model's construction, can be in real time accurate perception road traffic operation conditions, in time the accurate point of discovering the traffic jam.
Description
Technical Field
The utility model relates to a traffic control technical field especially relates to a holographic road network road monitored control system.
Background
Intelligent traffic projects are built, and one core goal is to alleviate road traffic congestion. However, the traditional intersection has a single latitude and visual angle, only the coil acquires data or video data, and the data source is single; and the hidden danger analysis of the traditional intersection is post analysis, namely traffic black spots are obtained from historical accident data through analysis, hidden dangers are found, and the user knows the afterward.
With the continuous abundance of front-end data acquisition equipment, more and more structured data are collected to a traffic management department, such as motor vehicle license plate data acquired based on a bayonet and electric alarm equipment, namely passing data, floating vehicle GPS data and the like. How to evaluate the urban traffic running condition by using complex multi-source data to calculate road traffic indexes is an important problem. However, to solve this problem, the construction of a calculation model based on an urban road connection network is continuously solved.
SUMMERY OF THE UTILITY MODEL
In order to solve the technical problem, the utility model provides a holographic road network road monitoring system accomplishes the construction based on urban road connection network's calculation model, can be in real time accurate perception road traffic operation conditions, in time accurate discovery traffic jam point.
In order to achieve the above purpose, the technical scheme of the utility model is as follows:
a holographic road network road monitoring system comprising: the system comprises a radar identification unit, a visual identification unit, an edge calculation server, a traffic signal controller, an industrial personal computer and an RSU module, wherein the edge calculation server is respectively in communication connection with the radar identification unit and the visual identification unit, and the industrial personal computer is respectively in communication connection with the edge calculation server, the traffic signal controller and the RSU module.
Preferably, the radar identification unit comprises a millimeter wave radar, a radar target detection module and a radar target tracking module which are connected in sequence, and the radar target tracking module is connected with the edge calculation server.
Preferably, the radar identification unit further comprises a radar, a GPS module and an NTP module, wherein the radar is respectively connected with the GPS module and the NTP module.
Preferably, the visual recognition unit comprises a near-focus camera, a far-focus camera, a video splicing module, a motor vehicle recognition module, a license plate recognition module and a license plate character recognition module, wherein the near-focus camera and the far-focus camera are both connected with the video splicing module, and the video splicing module is connected with the edge calculation server; the near-focus camera, the motor vehicle identification module, the license plate character identification module and the edge calculation server are sequentially connected.
Preferably, each direction of each intersection is provided with a radar identification unit and a visual identification unit, the radar identification unit and the visual identification unit can be in linkage tracking detection, and the radar identification unit can rotate for 360 degrees during linkage tracking detection.
Preferably, the edge calculation server and the traffic signal controller are both arranged in a waterproof box at the roadside.
Preferably, the traffic signal controller is connected with a plurality of groups of signal lamps through a control bus.
Preferably, the industrial personal computer is arranged in the back-end traffic police data center.
Preferably, the RSU module transmits broadcast information to an automobile accessed to the internet of vehicles through a microwave signal, where the broadcast information includes road condition information, road recommendation information, and safety warning information.
Based on the technical scheme, the beneficial effects of the utility model are that:
1) the utility model discloses by the concatenation of prospect camera and close-range camera, can provide the street view of over 100 meters depth by the system, can assemble a picture with the traffic target at crossing, access & exit, provide a big deep image street view for traffic guidance, traffic control, improved the perceptibility of traffic information;
2) the utility model discloses utilize multiple perception means such as millimeter wave radar, two mesh cameras, on guaranteeing original normal off-site law enforcement function basis, fuse the newest video processing technique of trade, high accuracy map technique, AI algorithm, calculation power chip, marginal computing technology, establish "wisdom + perception" ability, generate the vehicle space-time, cross automobile body, illegal snapshot, multiple accurate, high-efficient, real-time metadata such as decimeter level vehicle orbit, signal lamp state. A complete data foundation is laid for fine management of the intersection;
3) the utility model discloses can divide to the lane flow to road network individual crossing, multidimensional service index such as traffic delay index, delay time, stroke speed, the length of lining up, parking number of times carries out the analysis to optimize road network signal accuse model. The system can calculate traffic indexes related to intersections, such as intersection vehicle flow, intersection saturation and the like, can calculate road sections and communication relations at the same time, and can calculate indexes of areas, such as area congestion indexes, area congestion mileage ratios, area on-road quantities and the like, by weighting index values of all the road sections;
4) the system can sense, detect and analyze elements such as pedestrians, non-motor vehicles, road environments, traffic events and the like at the road junctions, digitally analyze information of road facilities and traffic flows, and acquire data such as vehicle license plates, attributes, speeds, tracks and the like. The method comprises the steps of detecting a road surface event in real time all day long, finding and reporting the road surface event in a second level after the event occurs, and simultaneously linking a video to accurately judge the situation of the event and efficiently command and dispose the event after the report. The real-time perception of road conditions, the scheduling of right of way as required and the real-time intelligent induction can be realized.
Drawings
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
FIG. 1 is a schematic diagram of a holographic road network road monitoring system according to an embodiment;
FIG. 2 is a schematic diagram of a holographic road network road monitoring system deployed in one embodiment;
in the figures, the various reference numbers are:
1. a radar recognition unit; 101. a millimeter wave radar; 102. a radar target detection module; 103. a radar target tracking module; 2. a visual recognition unit; 201. a near-focus camera; 202. a telephoto camera; 203. a video stitching module; 204. a motor vehicle identification module; 205. a license plate recognition module; 206. a license plate character recognition module; 3. an edge computing server; 301. a data fusion module; 302. a data transmission module; 4. a traffic signal controller; 5. an industrial personal computer; 6. and an RSU module.
Detailed Description
In order to illustrate the invention more clearly, the invention is further described below with reference to preferred embodiments. It is to be understood by persons skilled in the art that the following detailed description is illustrative and not restrictive, and is not to be taken as limiting the scope of the invention.
In the description of the present invention, it is to be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like indicate orientations or positional relationships based on those shown in the drawings, and are merely for convenience of description and simplicity of description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore, are not to be construed as limiting the present invention.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected" and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present invention can be understood as a specific case by those skilled in the art.
As shown in fig. 1 and 2, the embodiment provides a holographic road network road monitoring system, which includes a radar recognition unit 1, a vision recognition unit 2, an edge calculation server 3, a traffic signal controller 4, an industrial personal computer 5, and an RSU module 6. The radar recognition unit 1 (Sichuan speed radar S540), the vision recognition unit 2 (Haikang binocular camera iDS-2SK8188IX) and the RSU module 6 (Zhongxing RSU Y2000) are all installed on an electric police pole in 4 directions of a crossroad, an edge computing server 3 (server JSZ-QY01) and a signal controller (Haixin 48 circuit controller) are deployed in a roadside waterproof box, all devices are connected through the Ethernet, the Ethernet is connected to an industrial personal computer 5 in a traffic police data center through an optical fiber or a 4G network, and the industrial personal computer 5 is used for receiving, processing and displaying data. The RSU module 6 is connected to the car by means of microwave signals. The traffic signal controller is connected with the signal lamps through a control bus, the models of the devices are not limited to the traffic signal controller, and a person skilled in the art can select different models of devices to realize the functions according to actual requirements. The technical scheme is concretely illustrated as follows:
first, radar identification unit 1
1. And a plurality of millimeter wave radars 101 disposed in each direction of the intersection/t-intersection. The radar identification unit 1 is electrically connected with the edge processing unit and used for acquiring road condition information of the intersection and feeding the acquired road condition information back to the data fusion module. The unit also comprises a GPS module and an NTP module, and provides self position information and time service information for the radar.
2. The radar target detection module 102 is used for processing laser point cloud information acquired by each radar, constructing a training model based on a neural network by utilizing deep learning, sensing and tracking obstacles in the training model, acquiring 100 ten thousand data points per second, acquiring three-dimensional information of small obstacles with an angular resolution of less than 1 degree, accurately positioning a target by calculating a sample set and the training set, and outputting information such as types, directions, distances, speeds, moving directions and flow rates of motor vehicles, non-motor vehicles, pedestrians and the like. And adding the GPS real-time information to the sensed barrier by combining the GPS information of the high-precision GPS module.
3. The radar target tracking module 103 is used for continuously tracking the track of each radar monitoring target, and can simultaneously track 256 targets in real time, and the track capture accuracy rate exceeds 95%.
Second, vision identification unit 2
1. The binocular camera respectively adopts a far-focus camera 202 and a near-focus camera 201 to shoot long-range and near-range videos. In addition to being able to acquire planar images, depth information of the photographic subject, that is, three-dimensional position and size information, can be acquired, so that the entire computing system obtains three-dimensional stereo data visual recognition of the environment and subject. The binocular camera is internally provided with a deep learning algorithm, supports an intelligent recognition function, and supports license plate recognition and target full-structuralization.
2. The video stitching module 203 adopts an image stitching technology, which is a technology for forming a panoramic space by using live-action images, and can stitch a plurality of images into a large-scale image. By image splicing, the long-range video and the short-range video can be spliced into a long video picture from the far.
3. The vehicle identification module 204 is used for identifying vehicle targets, including vehicle types and vehicle colors. The license plate identification module 205 can identify the license plate of the motor vehicle, including the color of the license plate and the framework of the license plate. The vehicle character recognition module 206 may recognize license plate characters.
Third, edge computing server 3
The edge computing server 3 includes a data fusion module 301 and a data transmission module 302, and implements functions of radar vision fusion calibration, radar vision data fusion, data caching, data transmission, and the like.
1. The data fusion module 301 generates a trace map of the actual running condition of the intersection based on the track coordinate data of the video and the radar, so as to realize the simulation of the real data of the intersection. The data precision deviation is within centimeters, the data effectiveness is transmitted with the efficiency of 15 frames/second, the efficiency is high, the accuracy is high, and the lane-level queuing is realized. The conflict points existing at the intersection can be analyzed according to real-time, fine and accurate track data.
2. The data transmission module 302 may upload data to a designated server in a certain format, or may store the data locally.
Traffic signal controller 4
The traffic signal controller 4 is connected with the edge computing server 3 and the industrial personal computer 5 and is used for receiving traffic flow statistical information reported by the edge computing module, calculating lane level flow in real time, and completing control of signal lamps, signal lamp damage detection, environmental parameter measurement and the like.
Fifth, RSU module 6
The RSU module 6 (road test unit) receives the road condition information processed by the industrial personal computer 5 and sends the road condition information to the automobiles at the road end in a broadcasting mode, so that safety early warning is provided for the automobiles in the road, and blind area information is provided for turning vehicles.
Sixth, industrial control computer 5
The industrial personal computer 5 is connected with the edge computing server 3, the traffic signal control unit and the RSU module 6, receives and processes data fed back by the road information sensing equipment (the millimeter wave radar 101 and the binocular camera) to generate sensing data (road condition information of the intersection) and transmits the sensing data to the RSU module 6 and the traffic signal control unit, and a feasible implementation mode is provided for intelligent vehicle-road cooperation. The industrial personal computer 5 supports multi-scene integration through a configurable structure for governments, traffic police and bus operation.
The above description is only a preferred embodiment of the holographic road network road monitoring system disclosed in the present invention, and is not intended to limit the scope of the embodiments of the present disclosure. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the embodiments of the present disclosure should be included in the protection scope of the embodiments of the present disclosure.
Claims (9)
1. A holographic road network road monitoring system, comprising: the system comprises a radar identification unit, a visual identification unit, an edge calculation server, a traffic signal controller, an industrial personal computer and an RSU module, wherein the edge calculation server is respectively in communication connection with the radar identification unit and the visual identification unit, and the industrial personal computer is respectively in communication connection with the edge calculation server, the traffic signal controller and the RSU module.
2. The holographic road network road monitoring system of claim 1, wherein said radar identification unit comprises a millimeter wave radar, a radar target detection module and a radar target tracking module connected in sequence, said radar target tracking module is connected with an edge computing server.
3. The holographic road network road monitoring system according to claim 2, wherein said radar recognition unit further comprises a radar, a GPS module and an NTP module, said radar is connected with the GPS module and the NTP module respectively.
4. The holographic road network road monitoring system of claim 1, wherein the vision recognition unit comprises a near-focus camera, a far-focus camera, a video stitching module, a motor vehicle recognition module, a license plate recognition module and a license plate character recognition module, wherein the near-focus camera and the far-focus camera are both connected with the video stitching module, and the video stitching module is connected with the edge computing server; the near-focus camera, the motor vehicle identification module, the license plate character identification module and the edge calculation server are sequentially connected.
5. The holographic road network road monitoring system according to claim 1, wherein each intersection is provided with a radar recognition unit and a visual recognition unit in each direction, the radar recognition unit and the visual recognition unit can perform linkage tracking detection, and the radar recognition unit can rotate 360 degrees during linkage tracking detection.
6. The holographic road network road monitoring system according to claim 1, wherein said edge computing server and traffic signal controller are both disposed in a waterproof box at the roadside.
7. The holographic road network road monitoring system as claimed in claim 1, wherein said traffic signal controller is connected to a plurality of groups of signal lamps through a control bus.
8. The holographic road network road monitoring system of claim 1, wherein said industrial personal computer is disposed in a back-end traffic police data center.
9. The holographic road network road monitoring system according to claim 1, wherein the RSU module sends broadcast information to the automobiles accessing to the Internet of vehicles through microwave signals, and the broadcast information comprises road condition information, road recommendation information and safety warning information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202220921006.2U CN217426263U (en) | 2022-04-20 | 2022-04-20 | Holographic road network road monitoring system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202220921006.2U CN217426263U (en) | 2022-04-20 | 2022-04-20 | Holographic road network road monitoring system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN217426263U true CN217426263U (en) | 2022-09-13 |
Family
ID=83182743
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202220921006.2U Active CN217426263U (en) | 2022-04-20 | 2022-04-20 | Holographic road network road monitoring system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN217426263U (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116682283A (en) * | 2023-04-10 | 2023-09-01 | 盐城工学院 | Holographic intersection traffic management system and method based on target detection |
-
2022
- 2022-04-20 CN CN202220921006.2U patent/CN217426263U/en active Active
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116682283A (en) * | 2023-04-10 | 2023-09-01 | 盐城工学院 | Holographic intersection traffic management system and method based on target detection |
| CN116682283B (en) * | 2023-04-10 | 2023-10-31 | 盐城工学院 | Holographic intersection traffic management system and method based on target detection |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108417087B (en) | Vehicle safe passing system and method | |
| CN112700470B (en) | Target detection and track extraction method based on traffic video stream | |
| Wu | An automatic procedure for vehicle tracking with a roadside LiDAR sensor | |
| CA2747337C (en) | Multiple object speed tracking system | |
| CN112017431A (en) | Active vehicle continuous tracking and positioning system and method based on multi-data fusion | |
| CN112099040A (en) | Whole-course continuous track vehicle tracking system and method based on laser radar network | |
| CN113706737B (en) | Road surface inspection system and method based on automatic driving vehicle | |
| CN111461088B (en) | Rail transit obstacle avoidance system based on image processing and target recognition | |
| CN111369796A (en) | Roadside sensing system | |
| CN109747530A (en) | A kind of dual camera and millimeter wave merge automobile sensory perceptual system | |
| CN113470372B (en) | Method, system, and computer-readable storage medium for identifying an offending vehicle | |
| DE3830598C2 (en) | ||
| CN114333330B (en) | Intersection event detection system based on road side edge holographic sensing | |
| CN114385661A (en) | High-precision map updating system based on V2X technology | |
| CN111477010A (en) | Device for intersection holographic sensing and control method thereof | |
| US20210208282A1 (en) | Detection device and detection system | |
| CN111477011A (en) | Detection device and detection method for road intersection early warning | |
| CN111354222A (en) | Driving assisting method and system | |
| CN213303095U (en) | Road test device based on artificial intelligence | |
| CN110648538B (en) | Traffic information sensing system and method based on laser radar network | |
| CN217426263U (en) | Holographic road network road monitoring system | |
| CN211792049U (en) | Vehicle-road cooperative auxiliary system and vehicle | |
| CN114677446A (en) | Vehicle detection method, device and medium based on roadside multi-sensor fusion | |
| RU120270U1 (en) | PEDESTRIAN CROSSING CONTROL COMPLEX | |
| CN111311942A (en) | Road condition display method and system based on V2X technology, V2X terminal and V2X server |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |