CN202268075U - An RFID-based automatic detection system for highway tunnel traffic abnormal events - Google Patents
An RFID-based automatic detection system for highway tunnel traffic abnormal events Download PDFInfo
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- CN202268075U CN202268075U CN2011203510436U CN201120351043U CN202268075U CN 202268075 U CN202268075 U CN 202268075U CN 2011203510436 U CN2011203510436 U CN 2011203510436U CN 201120351043 U CN201120351043 U CN 201120351043U CN 202268075 U CN202268075 U CN 202268075U
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Abstract
An RFID-based automatic detection system for highway tunnel traffic abnormal events comprises a plurality of RFID electronic label pass cards having vehicle information and ID codes, a plurality of readers having a unique ID identification and RS485 or CAN interfaces, an RS485 or CAN conversion ethernet node switch, and a monitor center having a monitor computer. The RFID electronic label pass cards are clamped on a vehicle. The work mode of the readers is mated with that of the RFID electronic label pass cards. After being connected with the RS485 or CAN conversion ethernet node switch, the readers are connected with the monitor computer via an ethernet. Therefore, the reader IDs serves as vehicle route identification for the system, the vehicle pass card IDs serve as vehicle identification for the system, and vehicle card information together with the IDs of the information are sent by the readers to the monitor center, such that integral and individual parameter detection is carried out for vehicles in a tunnel for accurate determination of abnormal events. The system of the utility model is simple in equipment, small in data bulk, accurate in positioning, accurate in event determination, etc.
Description
Technical field
The utility model relates to a kind of tunnel traffic anomalous event automatic checkout system; This system adopts the identity recognition device (RFID) that is the basis with the short-range radio frequency wireless communication technology as the front end sensing element; Carrying out field data through RS485 or CAN bus transmits; And through Ethernet formation monitoring LAN, so that keep watch on the tunnel anomalous event in Surveillance center.
Background technology
The tunnel of highway is in the space of a narrow relatively and approximate sealing; What the complicacy of operating environment and the diversity of traffic characteristic thereof caused anomalous event in the tunnel presents randomness, uncertainty, form diversity and high-risk property; And cause secondary traffic abnormity incident easily, thereby automatic detection of tunnel traffic anomalous event seems that urgency is more arranged.
To the freeway traffic anomalous event, a large amount of research institution have carried out certain discussion both at home and abroad.Just begun the research of the automatic context of detection of traffic abnormity incident as far back as nineteen sixty-eight TEXAS TRANSPORTATION INSTITUTE.Article one freeway traffic regulation FTMS of system that the sixties come into effect (Freeway Traffic Management System) just detects the traffic abnormity incident as an important content automatically.The develop rapidly of microelectric technique, computer technology and mechanics of communication is detected for traffic events automatically and has brought new development space.The European Community in 1989 proposes the artificial intelligence technology that the technology of using a computer and other correlation technique combine, and can discern and classifies highway and urban highway traffic incident.Department of Transportation has delivered " Intelligent Vehicle Highway System Projects (IVHS) " plan in February, 1993, and attempts carrying out the automatic detection of anomalous event with New-type detector and new technology.Japan then catches up from behind, and uses the anomalous event automatic checkout system on many highways at home at present.Being considered to state-of-the-art traffic event automatic detection system system based on Flame Image Process at present utilizes technology such as computer vision, image processing to carry out the traffic events detection, keep watch on; Other also propose like new anomalous event automatic checkout systems such as RFID in succession, but all are not used for the monitoring of tunnel anomalous event.
The tunnel traffic anomalous event detects the concern that has obtained domestic researcher with early warning in recent years automatically.Huge Yong Feng, Wang Caiqin etc. have proposed based on data fusion technology, artificial neural network, the logical unusual automatic testing method of intersection of fuzzy sets.Chang An University opens army and has set up the automatic detection algorithm of BP neural network traffic abnormity incident, can differentiate whether obstruction is arranged, whether unusual traffic takes place.Zhao Lihong has proposed the early warning of tunnel traffic anomalous event, detection and management system design proposal, is intended to reduce mountainous area highway tunnel traffic anomalous event generation probability and destructiveness.Zhang Lizhen etc. have proposed the new method based on the real-time traffic stream information acquisition technique of RFID technology, provide this technology framed structure that realizes and the major technique that needs simultaneously.But existing research nearly all is the statistical study with traffic parameter is basis, and less relevance is based on the information acquisition and the control of vehicle individuality.
Tunnel (traffic) anomalous event detects automatically and the key of early warning system is traffic system operation present situation in the tunnel and the extraction of traffic system state in the future, particularly based on the extraction of the individual real time running status information of vehicle and the automatic detection of basic anomalous event on it.At present; Though the demand of society constantly calls this highway (tunnel) traffic abnormity incident to detect automatically and the generation of early warning system; Majority rests on the basic technology aspect but study still at present, like the collection and the processing of transport information, the estimation of traffic behavior and prediction etc.Owing to lack based on the individual traffic information collection means of vehicle, also satisfied not the automatic discrimination that detects of anomalous event and the requirement of accuracy rate on the estimation of traffic behavior and accuracy of predicting and the real-time.Anomalous event detects automatically to be used unreasonable with the early warning system design; Often emphasis tends to the detection of data on video monitoring detects; Functional requirement for event detection is not comprehensive, along with the deterioration of tunnel illumination environment and the aggravation of tail gas pollution of motor-driven vehicle, reduces greatly based on the automatic verification and measurement ratio of the anomalous event of video acquisition; Rate of false alarm then increases greatly, makes the interior traffic abnormity incident of freeway tunnel be difficult to realize surveying automatically and accurately.
The utility model content
The utility model technical matters to be solved is: have to the present main Video Events monitoring technology of using that the video acquisition data volume is big, data processing complex; The parameter measurement individual to vehicle is inaccurate; Engineering reliability based on image recognition is poor; And image is subject to the influence that light changes, and a series of shortcomings such as monitoring general effect difference for the tunnel anomalous event provide a kind of freeway tunnel traffic abnormity event automatic detection system based on RFID; It adopts the RFID technology that vehicle in the tunnel is carried out integral body and individual parameter detecting, can accurately differentiate anomalous event.
In order to solve the problems of the technologies described above; The technical scheme that the utility model adopted is: a kind of freeway tunnel traffic abnormity event automatic detection system based on RFID is characterized in: this system comprises that several have the RFID electronic tag visa card of information of vehicles and identification ID sign indicating number, several reader, RS485 or CAN that have unique ID sign and have RS485 interface or a CAN EBI and change ethernet node switch, and the Surveillance center of tool supervisory control comuter; This RFID electronic tag visa card is installed on the vehicle; This reader and RS485 or CAN change the ethernet node switch and are installed in the tunnel; This reader is evenly installed along the tunnel; This reader changes the ethernet node switch with RS485 or CAN and is connected, and should change the ethernet node switch with RS485 or CAN and be connected with this supervisory control comuter through Ethernet.
Said RS485 or CAN change the ethernet node switch and are connected with Ethernet through band light mouth Ethernet switch.
Said Surveillance center also is equipped with the webserver, and this supervisory control comuter and the webserver are changed planes through the oral sex of band light and be connected with Ethernet.
Native system is easy to obtain following information after data are handled:
1) carries out testing vehicle register identification through the ID sign indicating number;
2) radio field intensity through reader beacon power and acceptance detects and can compare accurate localization to vehicle;
3) pass through vehicle passes through certain section tunnel through the time interval estimating vehicle of two readers average velocity;
4) but change and the present speed of the detection estimating vehicle of transformation period according to vehicle-mounted RFID electronic tag visa card launching electromagnetic wave field intensity;
5) pass through the detection of vehicle, or in RFID electronic tag visa card, can detect the vehicle that drives in the wrong direction with digital code information travel direction sign through two readers orders;
6), calculate the average velocity of wagon flow, thereby block up detection through vehicle ID number to reading in the reader readable range;
7) the vehicle count difference between two nodes of detection can calculate lane occupancy ratio etc.;
8) if average speed is zero, and the time surpass certain limit, the explanation accident takes place; (generally should be bump or goods is scattered);
9) first speed of a motor vehicle is that zero vehicle generally is exactly the vehicle that causes to block up;
10) through between two readers, or the comparison of tunnel portal and exit wagon flow formation, can know the cut-in situation of vehicle in the tunnel;
11) can carry out all-the-way tracking to dangerous vehicle, lengthening vehicle, in case the generation incident can be reported to the police immediately;
12) deposit each vehicle data in database, aforementioned variety of event detection method then capable of using detects incident and reports to the police.
In sum, the employing state that RFID detected can detect the running status of wagon flow, and the ERST that traceable again vehicle is individual is accurately understood the middle ruuning situation of each car in the tunnel, brings great convenience for the tunnel event detection, and decision event will be more accurate; Native system has characteristics such as equipment is simple, data volume is little, accurate positioning, incident accuracy of judgement.
Description of drawings
Fig. 1 is the system architecture diagram of the utility model.
Fig. 2 is the scheme of installation of reader in the tunnel of the utility model.
Fig. 3 is the system software structure figure of the utility model.
Embodiment
Below in conjunction with accompanying drawing and embodiment the utility model is described further.
Referring to Fig. 1, the utility model is a kind of freeway tunnel traffic abnormity event automatic detection system based on RFID, is to adopt the RFID technology that vehicle in the tunnel is carried out integral body and individual parameter detecting, can accurately differentiate anomalous event.This system comprises that several RFID electronic tag visa cards, several readers 1, RS485 or CAN change ethernet node switch 2, band light mouth Ethernet switch 3 and Surveillance center 4, wherein:
RFID electronic tag visa card; Be installed on the vehicle; It has information of vehicles and identification ID sign indicating number; For employed various active visa cards on the present highway, to look field condition and can be operated in 433MHz, 915MHz, 2.45GHz and 5.8GHz frequency range, modulation system can be 2-FSK, GSK or MSK.
RS485 or CAN change ethernet node switch 2; Has the respective communication protocol conversion function; Be connected with an end of Ethernet through band light mouth Ethernet switch 3; Can convert the ethernet communication mode into the communication mode of the reader 1 of above interface and be connected to Ethernet system,, can adopt a plurality of node switch to insert public network nearby if this ethernet node switch distance High-speed highway public network relatively disperses.
Surveillance center 4 is equipped with the webserver 6 and supervisory control comuter 7, and the other end of Ethernet is changed planes through the oral sex of band light and 8 is connected with the supervisory control comuter 7 (in the present embodiment, having shown two) and the webserver 6.Responsible processing, calculating, judgement and the warning that front end is sent a message back.
The software module of native system mainly is made up of RFID reader software module, data acquisition module, Service Processing Module, and is as shown in Figure 3, and wherein, RFID reader software module is responsible for reading of RFID electronic tag visa card information.Data acquisition module comprises the Dynamic Data Acquiring subsystem; Main analysis and the storage of being responsible for RFID electronic tag visa card information; Carry out data management, the information stores that the Dynamic Data Acquiring subsystem is received is distributed the monitoring and early warning subsystem simultaneously in data storage server.Service Processing Module comprises the monitoring and early warning subsystem; The main functions such as automatic formation, exchanges data, system configuration that realize Incident Management, query statistic, statistical study curve in watch-dog, information processing, the tunnel in tunnel essential information, track essential information, the tunnel, the information stores of monitoring and early warning subsystem analysis is in data storage server.
The principle of work of the utility model system is following:
When the vehicle that carries RFID electronic tag visa card arrives the effective reading scope of reader; Electronic tag is activated; The electronic tag that activates sends to reader with the information of vehicles of storing in the visa card (mainly comprising car plate, vehicle and transmitting time); After reader is read information, these information are added the ID of reader own, the RS485 or the CAN that are sent in the tunnel through RS485 or CAN bus change the ethernet node switch; Again RS485 or CAN commentaries on classics ethernet node switch are connected to Ethernet system through band light mouth Ethernet switch; Send to Surveillance center through Ethernet, thereby can read nodal information, store accordingly and handle by Surveillance center in Surveillance center.Supervisory control comuter in the Surveillance center is according to field data; Individual ID of contrast vehicle and Reader ID know promptly which position which car has arrived; Through the emissive power of configuration reader and current card and the accurate location that allows acknowledge(ment) signal strength threshold (RSSI) can realize vehicle; Can calculate various parameters of traffic flow and incident, when corresponding parameter is out-of-limit, report to the police.Thereby through various calculating; A vehicle body position is followed the tracks of, the traffic parameters such as instantaneous velocity, wagon flow average velocity and lane occupancy ratio that estimating vehicle is individual, and notify the vehicle abnormality incident at once; Thereby can accurately follow the tracks of the operation conditions of each car, traffic events is detected automatically.
Claims (3)
1. freeway tunnel traffic abnormity event automatic detection system based on RFID is characterized in that: this system comprises that several have the RFID electronic tag visa card of information of vehicles and identification ID sign indicating number, several reader (1), RS485 or CAN that have unique ID sign and have RS485 interface or a CAN EBI and change ethernet node switch (2), and the Surveillance center (4) of tool supervisory control comuter (7); This RFID electronic tag visa card is installed on the vehicle; This reader (1) and RS485 or CAN change ethernet node switch (2) and are installed in the tunnel (5); This reader (1) is (5) evenly installation along the tunnel; This reader (1) changes ethernet node switch (2) with RS485 or CAN and is connected, and should change ethernet node switch (2) with RS485 or CAN and be connected with this supervisory control comuter (7) through Ethernet.
2. the freeway tunnel traffic abnormity event automatic detection system based on RFID as claimed in claim 1 is characterized in that: said RS485 or CAN change ethernet node switch (2) and are connected with Ethernet through band light mouth Ethernet switch (3).
3. the freeway tunnel traffic abnormity event automatic detection system based on RFID as claimed in claim 1; It is characterized in that: said Surveillance center (4) also is equipped with the webserver (6), this supervisory control comuter (7) and the webserver (6) through band light oral sex change planes (8) be connected with Ethernet.
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| Application Number | Priority Date | Filing Date | Title |
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| CN2011203510436U CN202268075U (en) | 2011-09-19 | 2011-09-19 | An RFID-based automatic detection system for highway tunnel traffic abnormal events |
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| CN2011203510436U CN202268075U (en) | 2011-09-19 | 2011-09-19 | An RFID-based automatic detection system for highway tunnel traffic abnormal events |
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103337193A (en) * | 2013-07-22 | 2013-10-02 | 北京新一代照明有限公司 | Expressway tunnel park positioning detection and link alarm device and method |
| CN103700268A (en) * | 2014-01-10 | 2014-04-02 | 张秋生 | Traffic light intelligent control and personnel and equipment safety identification and positioning system for tunnel construction |
| CN106448180A (en) * | 2016-10-24 | 2017-02-22 | 东南大学 | Long-and-large-tunnel traffic-event real-time detection system and method thereof |
| CN106572331A (en) * | 2016-10-26 | 2017-04-19 | 江苏金米智能科技有限责任公司 | Intelligent video monitoring system facing towards tunnel |
| CN106875611A (en) * | 2015-12-12 | 2017-06-20 | 上海腾盛智能安全科技股份有限公司 | Traffic tunnel fire detecting system |
| CN108230680A (en) * | 2016-12-13 | 2018-06-29 | 腾讯科技（深圳）有限公司 | A kind of vehicle behavior information acquisition method, device and terminal |
| CN108364043A (en) * | 2017-01-16 | 2018-08-03 | 浙江国自机器人技术有限公司 | A kind of electronics selection label system turning Ethernet based on CAN |
| CN111627226A (en) * | 2020-06-01 | 2020-09-04 | 上海钧正网络科技有限公司 | Vehicle reverse running monitoring network, method, device, medium and electronic equipment |
| CN111785013A (en) * | 2020-04-27 | 2020-10-16 | 厦门硅田系统工程有限公司 | Method for judging and processing vehicle accidents in tunnel based on city perception microgrid |
| CN112242058A (en) * | 2020-05-29 | 2021-01-19 | 北京新能源汽车技术创新中心有限公司 | Target abnormity detection method and device based on traffic monitoring video and storage medium |
| CN112907943A (en) * | 2021-01-15 | 2021-06-04 | 遥相科技发展(北京)有限公司 | Tunnel traffic incident detection method and system based on signal intensity distribution |
-
2011
- 2011-09-19 CN CN2011203510436U patent/CN202268075U/en not_active Expired - Fee Related
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103337193A (en) * | 2013-07-22 | 2013-10-02 | 北京新一代照明有限公司 | Expressway tunnel park positioning detection and link alarm device and method |
| CN103337193B (en) * | 2013-07-22 | 2015-05-20 | 北京新一代照明有限公司 | Expressway tunnel park positioning detection and link alarm device and method |
| CN103700268A (en) * | 2014-01-10 | 2014-04-02 | 张秋生 | Traffic light intelligent control and personnel and equipment safety identification and positioning system for tunnel construction |
| CN106875611A (en) * | 2015-12-12 | 2017-06-20 | 上海腾盛智能安全科技股份有限公司 | Traffic tunnel fire detecting system |
| CN106448180A (en) * | 2016-10-24 | 2017-02-22 | 东南大学 | Long-and-large-tunnel traffic-event real-time detection system and method thereof |
| CN106448180B (en) * | 2016-10-24 | 2019-09-10 | 东南大学 | A kind of major long tunnel traffic events real-time detection method and detection system |
| CN106572331B (en) * | 2016-10-26 | 2019-05-17 | 江苏金米智能科技有限责任公司 | A kind of intelligent video monitoring system towards tunnel |
| CN106572331A (en) * | 2016-10-26 | 2017-04-19 | 江苏金米智能科技有限责任公司 | Intelligent video monitoring system facing towards tunnel |
| CN108230680A (en) * | 2016-12-13 | 2018-06-29 | 腾讯科技（深圳）有限公司 | A kind of vehicle behavior information acquisition method, device and terminal |
| CN108364043A (en) * | 2017-01-16 | 2018-08-03 | 浙江国自机器人技术有限公司 | A kind of electronics selection label system turning Ethernet based on CAN |
| CN111785013A (en) * | 2020-04-27 | 2020-10-16 | 厦门硅田系统工程有限公司 | Method for judging and processing vehicle accidents in tunnel based on city perception microgrid |
| CN111785013B (en) * | 2020-04-27 | 2021-10-01 | 厦门硅田系统工程有限公司 | Method for judging and processing vehicle accidents in tunnel based on city perception microgrid |
| CN112242058A (en) * | 2020-05-29 | 2021-01-19 | 北京新能源汽车技术创新中心有限公司 | Target abnormity detection method and device based on traffic monitoring video and storage medium |
| CN111627226A (en) * | 2020-06-01 | 2020-09-04 | 上海钧正网络科技有限公司 | Vehicle reverse running monitoring network, method, device, medium and electronic equipment |
| CN112907943A (en) * | 2021-01-15 | 2021-06-04 | 遥相科技发展(北京)有限公司 | Tunnel traffic incident detection method and system based on signal intensity distribution |
| CN112907943B (en) * | 2021-01-15 | 2022-04-19 | 山西四和交通工程有限责任公司 | Tunnel traffic incident detection method and system based on signal intensity distribution |
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| Date | Code | Title | Description |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20120606 Termination date: 20120919 |