KR20090053013A - Method and system for accident detection using sensor attached to the median strip - Google Patents
Method and system for accident detection using sensor attached to the median strip Download PDFInfo
- Publication number
- KR20090053013A KR20090053013A KR1020070119622A KR20070119622A KR20090053013A KR 20090053013 A KR20090053013 A KR 20090053013A KR 1020070119622 A KR1020070119622 A KR 1020070119622A KR 20070119622 A KR20070119622 A KR 20070119622A KR 20090053013 A KR20090053013 A KR 20090053013A
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- accident
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- sensor node
- image
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Classifications
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- E—FIXED CONSTRUCTIONS
- E01—CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
- E01F—ADDITIONAL WORK, SUCH AS EQUIPPING ROADS OR THE CONSTRUCTION OF PLATFORMS, HELICOPTER LANDING STAGES, SIGNS, SNOW FENCES, OR THE LIKE
- E01F15/00—Safety arrangements for slowing, redirecting or stopping errant vehicles, e.g. guard posts or bollards; Arrangements for reducing damage to roadside structures due to vehicular impact
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
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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
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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
- G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
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- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Architecture (AREA)
- Civil Engineering (AREA)
- Structural Engineering (AREA)
- Computer Networks & Wireless Communication (AREA)
- Alarm Systems (AREA)
Abstract
The present invention relates to a central separation accident detection system and method using a sensor network. The accident detection system using the sensor network of the present invention includes a detection unit for detecting an impact using a sensor node mounted on the central separator of the road; A notification unit for transmitting an event indicating that an accident has occurred to the sink node when the detected shock exceeds a preset criterion; and when the detected shock exceeds the preset criterion, an image of the sensor node is recorded. It includes; Image transmission unit for transmitting to the sink node through. Because it operates in a wireless environment, it is easy to install and maintain, and it is possible to reliably determine the occurrence of an accident through the video image along with the occurrence of an event.
Incident Detection, Sensor Network
Description
The present invention relates to a central separation accident detection system and method using a sensor network.
Because sensor networks are small in size, sensor networks have limited power, computing power, and memory. These sensor networks will automate our lives and provide convenience by performing the functions of sensing information through the sensor and processing the detected information.
The sensor network has a structure in which several sensor network fields are connected to an external network through a gateway. Sensor nodes transmit data to nearby sink nodes, and data aggregated into sensor nodes is sent to the gateway. Data delivered from the gateway to the administrator can be transmitted via satellite communication, wired or wireless Internet, and such access networks utilize existing infrastructure.
In the case of the existing traffic accident, the accident was handled by the reporting party of the accident party, other vehicles, or by people around them, and the accident was not promptly handled in an emergency such as the evacuation of patients. In particular, in the case of automobile-only roads or highways with central dividers, most accidents are caused by large-scale accidents that lead to casualties.
Using sensor network, sensor node is attached to median to build sensor network for road where median is installed. When the sensor node detects the event according to the occurrence of the accident by linking the sensor network and the management system for the accident processing, the accident is reported to the management system and the accident is processed.
Accident detection according to the accident occurred using the sensor network in real time, and reported to the management system to contact the relevant agencies for the accident handling in the shortest time, so that accidents can be promptly processed to reduce the damage of human accidents to the minimum. Will be.
In one preferred embodiment of the present invention, an accident detection system using a sensor network comprises: a sensing unit for detecting an impact using a sensor node mounted on a central separator of a road; A notification unit for transmitting an event indicating that an accident has occurred to the sink node when the detected shock exceeds a preset criterion; and an image photographing the periphery of the median when the detected shock exceeds the preset criterion. It includes; Image transmission unit for transmitting to the sink node through the sensor node.
As another preferred embodiment of the present invention, an accident detection method using a sensor network includes: detecting a shock at a sensor node mounted on a central separator of a road; A notification step of transmitting an event notifying that an accident has occurred to the sink node when the detected shock exceeds a preset criterion; and an image taken around the median when the detected shock exceeds the preset criterion. And transmitting the image to the sink node through the sensor node.
Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings. It should be noted that the same elements among the drawings are denoted by the same reference numerals and symbols as much as possible even though they are shown in different drawings. In the following description of the present invention, if it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the subject matter of the present invention, the detailed description thereof will be omitted.
1 (a) and (b) show an accident detection system environment and a system using a sensor network as a preferred embodiment of the present invention.
The sensor network is a base network for ubiquitous computing implementation and is a wireless network composed of many ultra-lightweight, low-power sensors. A large number of sensors connected to one network detect the geographical and environmental changes of the field, transmit the information to the base station, and then collect the information in a way that is transmitted to the user through the sensor network server.
The sensor network allows things to recognize other things, such as humans, and sense their surroundings, enabling them to check and utilize information anytime, anywhere. This is a technology that is applied to economic activities such as production, distribution, logistics, medical services, welfare services, and environmental monitoring systems to make human life more profitable.
The accident detection system environment using the sensor network shown in FIG. 1 (a) largely includes a sensor node, a
Each sensor node is connected to the
The accident detection system using the sensor network shown in FIG. 1 (b) includes a
The
The sensor node installed in the central separator detects the occurrence of an accident by using a sensor such as a vibration sensor against an impact caused by an accident. In addition, in the present invention, the duty cycle is set so that the sensor node maintains a sleep state except when the shock is detected.
Thus, when communication occurs due to frequent sensing, the energy consumption of the sensor node increases, and if the sensor is sensitively set, even if the accident is not caused by high-speed car driving, the sensor node detects an accident. You can be prepared for the problem of reporting it.
In addition, by minimizing the duty cycle, most of the time the device is in a sleep state except for an event, and thus has a long lifespan. In addition, there is an advantage in installation and maintenance because it is operated by a wireless environment.
The
In the present invention, the
The
The
2 (a) and 2 (b) show side and cross-sectional views of an embodiment of a sensor node installed in a median.
As shown in Figure 2 (a), the sensor node is attached to the height of the intermediate position on both sides of the central separator. The
Figure 3 shows the flow of one embodiment of an accident detection method using the sensor network of the present invention.
When power is supplied to the sensor node mounted on the central separator of the road (S300), the vibration sensor mounted on the sensor node operates and the sensor node is configured as a sensor network (S310). It should be noted that a vibration sensor is used as an example of the sensor proposed in this embodiment, but a sensor having the same or similar function may be used.
When the shock detected by the vibration sensor exceeds a predetermined standard, a sensing event occurs indicating that an accident has occurred to the sink node (S320). When the vibration sensor detects the node, the node wakes up from the sleep state and enters the normal operation mode. The generated event is reported to the sink node (S330).
The image sensor mounted at the same time as the event occurrence report is operated (S340) and transmits an image to the sync node (S350). The delivered event and image data will include ID and location information assigned to the sensor node. The location information embeds its exact location information when the sensor node is installed.
Incident events and images reported from sensor nodes are transferred to the management system through sink nodes and gateways. The management system checks the occurrence of the accident based on the accident event and the image (S360). When the occurrence of the accident is confirmed, the relevant authorities such as the police station, fire department, medical institution, etc. will be contacted (S370) and the accident will be promptly processed (S380). In this case, the contact information of the relevant organization is stored in advance, and can be automatically contacted when the accident occurred.
The invention can also be embodied as computer readable code on a computer readable recording medium. Computer-readable recording media include all kinds of recording devices that store data that can be read by a computer system.
Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage, and the like, which are also implemented in the form of carrier waves (for example, transmission over the Internet). It also includes. The computer readable recording medium can also be distributed over network coupled computer systems so that the computer readable code is stored and executed in a distributed fashion.
The best embodiments have been disclosed in the drawings and specification above. Although specific terms have been used herein, they are used only for the purpose of describing the present invention and are not used to limit the scope of the present invention as defined in the meaning or claims.
Therefore, those skilled in the art will understand that various modifications and equivalent other embodiments are possible from this. Therefore, the true technical protection scope of the present invention will be defined by the technical spirit of the appended claims.
1 (a) and (b) show an accident detection system environment and a system using a sensor network as a preferred embodiment of the present invention.
2 (a) and 2 (b) show side and cross-sectional views of an embodiment of a sensor node installed in a median.
Figure 3 shows the flow of one embodiment of an accident detection method using the sensor network of the present invention.
Claims (12)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1020070119622A KR20090053013A (en) | 2007-11-22 | 2007-11-22 | Method and system for accident detection using sensor attached to the median strip |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1020070119622A KR20090053013A (en) | 2007-11-22 | 2007-11-22 | Method and system for accident detection using sensor attached to the median strip |
Publications (1)
Publication Number | Publication Date |
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KR20090053013A true KR20090053013A (en) | 2009-05-27 |
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KR1020070119622A KR20090053013A (en) | 2007-11-22 | 2007-11-22 | Method and system for accident detection using sensor attached to the median strip |
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KR (1) | KR20090053013A (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR101064656B1 (en) * | 2009-12-30 | 2011-09-15 | 전자부품연구원 | Image Based Wireless Sensor Network System and Wireless Sensor Networking Method thereof |
KR102269227B1 (en) * | 2021-03-22 | 2021-06-25 | 주식회사 에스투에이치원 | Driving safety apparatus in tunnel and on all roads |
CN115100852A (en) * | 2022-06-09 | 2022-09-23 | 智能汽车创新发展平台(上海)有限公司 | High-availability roadside fusion sensing system and method for serving intelligent networked automobile |
-
2007
- 2007-11-22 KR KR1020070119622A patent/KR20090053013A/en not_active Application Discontinuation
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR101064656B1 (en) * | 2009-12-30 | 2011-09-15 | 전자부품연구원 | Image Based Wireless Sensor Network System and Wireless Sensor Networking Method thereof |
KR102269227B1 (en) * | 2021-03-22 | 2021-06-25 | 주식회사 에스투에이치원 | Driving safety apparatus in tunnel and on all roads |
WO2022203125A1 (en) * | 2021-03-22 | 2022-09-29 | 주식회사 에스투에이치원 | Safety apparatus for travel in tunnels and on all roads |
CN115100852A (en) * | 2022-06-09 | 2022-09-23 | 智能汽车创新发展平台(上海)有限公司 | High-availability roadside fusion sensing system and method for serving intelligent networked automobile |
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