CN101667342A - Road accident monitoring system - Google Patents
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- CN101667342A CN101667342A CN 200810172225 CN200810172225A CN101667342A CN 101667342 A CN101667342 A CN 101667342A CN 200810172225 CN200810172225 CN 200810172225 CN 200810172225 A CN200810172225 A CN 200810172225A CN 101667342 A CN101667342 A CN 101667342A
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Abstract
The invention provides a road accident monitoring system, which is used for monitoring the collision between a vehicle and a road barrier to perform emergent road accident management. The road accident monitoring system comprises at least one collision data acquiring node, at least one collision image acquiring node and at least one remote monitoring control terminal, wherein the at least one collision data acquiring node is used for acquiring collision data produced by the collision between the vehicle and the road barrier, and sending a trigger signal according to the collision data; the atleast one collision image acquiring node is used for receiving the trigger signal from the at least one collision data acquiring node, and is triggered by the trigger signal to acquire collision images of the vehicle and the road barrier; and the at least one remote monitoring control terminal is used for receiving the collision images from the at least one collision image acquiring node to perform the emergent road accident management. The technical scheme can implement the real-time monitoring of the road barrier.
Description
Technical field
The present invention relates to monitoring technology, relate more specifically to road accident monitoring system.
Background technology
Detect for expressway traffic accident, generally adopt the video monitoring method, based on the expressway traffic accident detection model system of wagon flow behavior.
General solution comprises following several at present:
(1) video accident detection system
The camera that sets up by trackside can carry out area monitoring to highway vehicle flowrate situation and event conditions, and carries out data transmission by carriers such as optical fiber, optical cables, thereby the generation of manually judge accident whether.
(2) based on the expressway traffic accident detection model system of wagon flow behavior
The unusual common traffic flow stream that can cause of freeway traffic detects change in information; information processing method by the advanced person is handled this detection information (time series); detecting obtains unusual transport information; the utilization kalman filtering theory; dynamic wagon flow behavior after the real-time estimate accident takes place; and the linear quadratic Gauss control method in the cooperation Theory of Automatic Control; find the solution the ring road control rate of real-time response; make up dynamic random control model non-linear, noncontinuity; in order to the real time discriminating accident, and the ring road control that solves incident response.
But above-mentioned various resolution system all has different defectives:
(1) video accident detection system
At first, because the distribution number quantitative limitation of camera road along the line is difficult to the overall monitor of realization to the rail collision accident; Because the streaming media video data amount of camera collection is huge, and is bigger at the background process workload of crash analysis, and warning and analytical work be difficult to accomplish with accident synchronously, can't realize monitoring in real time to the rail collision accident; In wired mode the trackside camera is linked to each other with the remote monitoring control terminal, not only actually set up the engineering complexity, and cost is higher; Adopting the camera monitoring is all weather operations, promptly no matter has or not traffic hazard, and camera is all ceaselessly gathered video data, has so not only wasted a large amount of energy, and is unfavorable for the crash analysis on backstage.
(2) based on the expressway traffic accident detection model system of wagon flow behavior
Because it is many to influence the factor of wagon flow behavior, the error of building algorithm model is bigger, so the probability of miscarriage of justice that causes the accident is higher.
Therefore, in order one of to solve the problems of the technologies described above at least, exist demand to road accident monitoring system.
Summary of the invention
In order one of to solve the problems of the technologies described above at least, the invention provides a kind of road accident monitoring system, be used for the collision between monitor vehicle and the highway barrier, to carry out the management of highway burst accident, comprise: at least one crash data obtains node, be used to obtain the crash data that collision produced between described vehicle and the described highway barrier, and send trigger pip according to described crash data; At least one Collision diagram is used to receive the described trigger pip of obtaining node from described at least one crash data as acquisition node, is triggered by described trigger pip, to gather the Collision diagram picture of described vehicle and described highway barrier; At least one remote monitoring control terminal is used to receive from the described Collision diagram picture of described at least one Collision diagram as acquisition node, to carry out the management of highway burst accident.
By technique scheme, can realize real-time monitoring to the highway barrier.
In technique scheme, described road accident monitoring system further comprises the short range transmissions system, be connected described at least one crash data and obtain node and described at least one Collision diagram, be used for that described trigger pip is obtained node from described at least one crash data and be sent to described at least one Collision diagram as acquisition node as between the acquisition node.Adopt the short range transmissions system, can more promptly transmit trigger pip.
In technique scheme, described road accident monitoring system is the expressway traffic accident monitoring system, it is wireless sensor node that described at least one crash data obtains node, described at least one Collision diagram is a wireless sensor node as acquisition node, and described highway barrier is a highway steel double wave guardrail.
In technique scheme, described at least one crash data obtains node and after obtaining described crash data described crash data is carried out pre-service, whether the barrier collision characteristic when judging collision surpasses the predetermined frequency of threshold value, automatically judge whether accident takes place, if accident takes place, then send described trigger pip as acquisition node to described at least one Collision diagram.
By pre-service, can obtain node at crash data and carry out data operation, reduce the action frequency of Collision diagram as acquisition node.
In technique scheme, described at least one Collision diagram with the described Collision diagram picture of predetermined work frequency collection, and after described Collision diagram looked like to carry out compressed encoding, sends described at least one remote monitoring control terminal to via the GPRS transmission system as acquisition node.
The collision image is carried out compressed encoding, make transmission speed faster.Adopt the GPRS transmission system, can carry out data transmission more quickly.Certainly also can adopt other wireless or wire transmission mode, for example, bluetooth, LAN, VLAN, Internet, infrared, optical fiber etc.
In technique scheme, described at least one remote monitoring control terminal looks like to carry out quick crash analysis with corresponding according to described Collision diagram, according to system stability property testing and crash analysis needs, send instruction to described at least one Collision diagram as acquisition node aperiodically and make it carry out the collection of Collision diagram picture.
In technique scheme, described crash data obtains node and comprises:
Data acquisition module comprises barrier collision collection apparatus sensor, is used for when described vehicle collides with described highway barrier the collision special medical treatment data by the described highway barrier of described collision collection apparatus sensor acquisition;
Data processing module is connected to described data acquisition module, and the collision special medical treatment data of described data collecting module collected are carried out pre-service, produces described trigger pip;
Data transmission module is used for described trigger pip is sent to described at least one Collision diagram as acquisition node; And
Power module is data acquisition module, data processing module and data transmission module power supply.
In technique scheme, described pre-service comprises the compression of described collision characteristic and/or fusion.
In technique scheme, described data transmission module comprises radio-frequency module, and described radio-frequency module can send described trigger pip to described at least one Collision diagram as acquisition node according to organizing multi-hop multirouting mode certainly with the Zigbee agreement of 2.4GHz.Thereby can transmit data more quickly.
In technique scheme, described at least one Collision diagram under situation about receiving from the collection request of described at least one remote monitoring control terminal, collides the collection of view data as acquisition node.Thereby can collide the collection of view data as required.
According to expressway traffic accident monitoring system of the present invention, can solve following technical matters well:
(1) real-time of data acquisition and transmission, easy analysis
Road accident monitoring system has been realized the warning to highway barrier collision accident, image monitoring synchronously.Monitoring equipment collection and transmission be that pictorial information constantly takes place accident, and data volume is less, is beneficial to instant crash analysis, thereby makes the real-time monitoring and the warning of highway barrier collision accident become possibility;
(2) high fault tolerance of sensing data, low energy consumption, high detection
Because gathering wireless senser by a plurality of barrier collision characteristics, highway barrier vibration wireless sensor network forms the fault-tolerance height of system; Gathering monitoring equipment simultaneously is to be activated to carry out data acquisition when accident takes place, and the energy consumption of system has obtained reduction, and the efficientibility that accident detects has obtained guarantee.
Description of drawings
The present invention is further detailed explanation below in conjunction with the drawings and specific embodiments.
Fig. 1 is the synoptic diagram according to the road accident monitoring system based on wireless sensor network technology of the present invention;
Fig. 2 is the logic diagram of road accident monitoring system according to an embodiment of the invention;
Fig. 3 is the logic diagram of road accident monitoring system according to another embodiment of the present invention;
Fig. 4 is the logic diagram of middle wireless sensor node embodiment illustrated in fig. 2; And
Fig. 5 is the process flow diagram of software execute process embodiment illustrated in fig. 2.
Embodiment
Below will be in detail with reference to the preferred embodiments of the present invention, the example of preferred embodiment is described with reference to the accompanying drawings.
Fig. 1 is the synoptic diagram according to the road accident monitoring system based on wireless sensor network technology of the present invention.
This road accident monitoring system comprises: at least one crash data obtains node 102, be arranged on the described highway barrier, be used to obtain the crash data that collision produced between described vehicle and the described highway barrier, and send trigger pip according to described crash data; At least one Collision diagram is used to receive the described trigger pip of obtaining node from described at least one crash data as acquisition node 104, is triggered by described trigger pip, to gather the Collision diagram picture of described vehicle and described highway barrier; And at least one remote monitoring control terminal 106, be used to receive from the described Collision diagram picture of described at least one Collision diagram, to carry out the management of highway burst accident as acquisition node.
By technique scheme, can realize real-time monitoring to the highway barrier.
In technique scheme, described road accident monitoring system further comprises the short range transmissions system, be connected described at least one crash data and obtain node and described at least one Collision diagram, be used for that described trigger pip is obtained node from described at least one crash data and be sent to described at least one Collision diagram as acquisition node as between the acquisition node.Adopt the short range transmissions system, can more promptly transmit trigger pip.
In technique scheme, described road accident monitoring system is the expressway traffic accident monitoring system, it is wireless sensor node that described at least one crash data obtains node, and described at least one Collision diagram is a wireless sensor node as acquisition node, and described highway barrier is a freeway guardrail.
In technique scheme, described at least one crash data obtains node and after obtaining described crash data described crash data is carried out pre-service, whether the collision characteristic when judging collision surpasses the predetermined frequency of threshold value, automatically judge whether accident takes place, if accident takes place, then send described trigger pip as acquisition node to described at least one Collision diagram.
By pre-service, can obtain node at crash data and carry out data operation, reduce the action frequency of Collision diagram as acquisition node.
In technique scheme, described at least one Collision diagram with the described Collision diagram picture of predetermined work frequency collection, and after described Collision diagram looked like to carry out compressed encoding, sends described at least one remote monitoring control terminal to via the GPRS transmission system as acquisition node.
The collision image is carried out compressed encoding, make transmission speed faster.Adopt the GPRS transmission system, can carry out data transmission more quickly.Certainly also can adopt other wireless or wire transmission mode, for example, bluetooth, LAN, VLAN, Internet, infrared, optical fiber etc.
In technique scheme, described at least one remote monitoring control terminal looks like to carry out quick crash analysis with corresponding according to described Collision diagram, according to system stability property testing and crash analysis needs, send instruction to described at least one Collision diagram as acquisition node aperiodically and make it carry out the collection of Collision diagram picture.
Described at least one crash data obtains node, be the acceleration wireless sensor node, be used for obtaining in real time the vibration acceleration characteristic of freeway guardrail, and described characteristic carried out pre-service, according to modal processor mathematical statistics result of calculation, judge whether acceleration surpasses the threshold value pre-determined number continuously, and whether judgement accident automatically takes place, if true, then send to activate and take instruction to the image acquisition node; The short range transmissions system, form by the relay wireless sensor node of being responsible for connection monitoring network and base station, connect by the Zigbee wireless communication technology between node, described wireless sensor node data are sent to the image acquisition wireless sensor node to organize multi-hop multirouting mode certainly.
Fig. 2 is the logic diagram of the road accident monitoring system of one embodiment of the present of invention.
This system comprises guardrail vibration acceleration data collection radio sensor node 202, image data acquiring wireless sensor node 204 and remote monitoring control terminal 206.Wherein guardrail vibration acceleration data collection radio sensor node 202 comprises 3-axis acceleration sensor, 1 data acquisition board that can realize higher acquisition rate and 1 wireless sensor node of 1 full width of cloth 10g.Image data acquiring wireless sensor node 204 comprises 1 simulation camera, 1 data disposable plates and 1 wireless sensor node.When adopting passive acquisition mode, imageing sensor was triggered when the acceleration information item surpassed 4 times/s of threshold value, each 50 photograph frames of gathering send to Monitoring and Controlling terminal 206 through the overcompression processing, and Monitoring and Controlling terminal 206 was finished in 3-5 minute the reception of view data and preservation work; When adopting initiatively acquisition mode, send acquisition in 3 seconds in Monitoring and Controlling terminal 206, image capture device starts and begins to gather, and Monitoring and Controlling terminal 206 is finished the reception and the preservation work of view data at 5-15 in second.
3-axis acceleration sensor can be replaced with sound transducer, single-axis sensors or twin shaft sensor.In addition, it should be appreciated by those skilled in the art that can be according to the type selecting sensors of various types of freeway guardrail.
Fig. 3 is the logic diagram of road accident monitoring system according to another embodiment of the present invention.Road accident monitoring system comprises accident monitoring module 302, image collection module 304 and monitoring module 306.When accident takes place, accident monitoring module 302 is obtained crash data, and described characteristic carried out pre-service, according to mathematical statistics result of calculation, carry out the threshold value inspection, judge whether acceleration surpasses the threshold value pre-determined number continuously, and whether judgement accident automatically takes place, if true, alerts triggered then, send activation to image collection module 304 and take instruction, image collection module 304 starts, and obtains image data, to send to monitoring module 306 after the image data compression, monitoring module 306 receives the image data from image collection module 304, and image data is handled, and monitors control according to result.
In addition, operating personnel also can send monitoring request to monitoring module 306 as required, and monitoring module 306 sends the Image Acquisition instruction to image collection module 304, makes image collection module 304 carry out image taking.
Fig. 4 is the logic diagram of middle wireless sensor node embodiment illustrated in fig. 2.
This wireless sensor node comprises:
Fig. 5 is the process flow diagram of software execute process embodiment illustrated in fig. 2.
As shown in Figure 5, after netinit, guardrail vibration acceleration wireless sensor node carries out data acquisition, if data item surpasses the certain number of times of secure threshold, then send activation instruction to the image data acquiring wireless sensor node by guardrail vibration acceleration wireless sensor node, begin real-time images acquired information after the triggering, data are sent to the Monitoring and Controlling terminal analysis handle; For guaranteeing the operate as normal of image data acquiring wireless sensor node and guardrail vibration acceleration data collection radio sensor joint, the Monitoring and Controlling terminal is set different cycles to the two transmitting supervisory request
Although described embodiment with reference to a plurality of exemplary embodiment, this area counting personnel should be appreciated that and can design a plurality of other modifications and embodiment, fall into the spirit and the concept of this instructions.More specifically, the ingredient of the layout of this combination in the scope of this instructions, accompanying drawing and appending claims and/or the variations and modifications in the layout are possible.Except ingredient and/or the variation and modification in arranging, alternative use is obvious to those skilled in the art.
Claims (10)
1. a road accident monitoring system is used for the collision between monitor vehicle and the highway barrier, to carry out the management of highway burst accident, it is characterized in that, comprising:
At least one crash data obtains node, is arranged on the described highway barrier, is used to obtain the crash data that collision produced between described vehicle and the described highway barrier, and sends trigger pip according to described crash data;
At least one Collision diagram is used to receive the described trigger pip of obtaining node from described at least one crash data as acquisition node, is triggered by described trigger pip, to gather the Collision diagram picture of described vehicle and described highway barrier; And
At least one remote monitoring control terminal is used to receive from the described Collision diagram picture of described at least one Collision diagram as acquisition node, to carry out the management of highway burst accident.
2. road accident monitoring system according to claim 1, it is characterized in that, described road accident monitoring system further comprises the short range transmissions system, be connected described at least one crash data and obtain node and described at least one Collision diagram, be used for that described trigger pip is obtained node from described at least one crash data and be sent to described at least one Collision diagram as acquisition node as between the acquisition node.
3. road accident monitoring system according to claim 1, it is characterized in that, described road accident monitoring system is the expressway traffic accident monitoring system, it is wireless sensor node that described at least one crash data obtains node, described at least one Collision diagram is a wireless sensor node as acquisition node, and described highway barrier is a freeway guardrail.
4. according to each described road accident monitoring system in the claim 1 to 3, it is characterized in that, described at least one crash data obtains node and after obtaining described crash data described crash data is carried out pre-service, whether the acceleration when judging collision surpasses the threshold value pre-determined number, automatically judge whether accident takes place, if accident takes place, then send described trigger pip as acquisition node to described at least one Collision diagram.
5. according to each described road accident monitoring system in the claim 1 to 3, it is characterized in that, described at least one Collision diagram as acquisition node with the described Collision diagram picture of predetermined work frequency collection, and after described Collision diagram looked like to carry out compressed encoding, send described at least one remote monitoring control terminal to via the GPRS transmission system.
6. according to each described road accident monitoring system in the claim 1 to 3, it is characterized in that, described at least one remote monitoring control terminal looks like to carry out quick crash analysis with corresponding according to described Collision diagram, according to system stability property testing and crash analysis needs, send instruction to described at least one Collision diagram as acquisition node aperiodically and make it carry out the collection of Collision diagram picture.
7. according to each described road accident monitoring system in the claim 1 to 3, it is characterized in that described crash data obtains node and comprises:
Data acquisition module comprises the barrier characteristics data sampling sensor, is used for the barrier characteristics data of gathering described highway barrier by described barrier characteristics pick-up transducers when described vehicle and the collision of described highway barrier;
Data processing module is connected to described data acquisition module, and the barrier characteristics data of described data collecting module collected are carried out pre-service, produces described trigger pip;
Data transmission module is used for described trigger pip is sent to described at least one Collision diagram as acquisition node; And
Power module is described data acquisition module, described data processing module and the power supply of described data transmission module.
8. road accident monitoring system according to claim 7 is characterized in that described pre-service comprises the compression of described performance data and/or fusion.
9. road accident monitoring system according to claim 7, it is characterized in that, described data transmission module comprises radio-frequency module, described radio-frequency module can send described trigger pip to described at least one Collision diagram as acquisition node according to organizing multi-hop multirouting mode certainly with the Zigbee agreement of 2.4GHz.
10. according to each described road accident monitoring system in the claim 1 to 3, it is characterized in that, described at least one Collision diagram under situation about receiving from the collection request of described at least one remote monitoring control terminal, carries out the collection of Collision diagram picture as acquisition node.
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| CN 200810172225 CN101667342A (en) | 2008-10-31 | 2008-10-31 | Road accident monitoring system |
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| CN 200810172225 CN101667342A (en) | 2008-10-31 | 2008-10-31 | Road accident monitoring system |
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103117006A (en) * | 2013-01-14 | 2013-05-22 | 长安大学 | Warning system for preventing secondary traffic accident on highways |
| CN103226891A (en) * | 2013-03-26 | 2013-07-31 | 中山大学 | Video-based vehicle collision accident detection method and system |
| CN105472244A (en) * | 2015-12-08 | 2016-04-06 | 成都芯软科技发展有限公司 | Low-power consumption image acquisition module |
| CN105702092A (en) * | 2016-04-20 | 2016-06-22 | 罗平 | Rear-end-collision-prevention early-warning device and method based on microprocessor |
| CN105702032A (en) * | 2016-03-10 | 2016-06-22 | 同济大学 | Roadside accident monitoring and alarming system |
| CN105913688A (en) * | 2016-06-04 | 2016-08-31 | 迟同胜 | Expressway collision avoidance early warning system and method thereof |
| CN107911479A (en) * | 2017-12-07 | 2018-04-13 | 江西省交通运输科学研究院有限公司 | A kind of traffic safety facilities condition checkout gear and its detection method |
| CN107945508A (en) * | 2017-11-02 | 2018-04-20 | 深圳佳比泰智能照明股份有限公司 | The monitoring method and system of a kind of highway |
| CN110378188A (en) * | 2019-04-20 | 2019-10-25 | 绿桥(泰州)生态修复有限公司 | Double goal detection platform |
| WO2021191857A1 (en) * | 2020-03-27 | 2021-09-30 | Pasquale Impero | A management system of vehicular traffic along a carriageway |
| CN114059474A (en) * | 2021-10-24 | 2022-02-18 | 廖永宏 | Intelligent expressway accident sensing and intelligent induction security device and method |
| IT202000025129A1 (en) * | 2020-10-23 | 2022-04-23 | Autel S R L | MONITORING SYSTEM FOR ROAD SAFETY BARRIERS |
| JP2023500165A (en) * | 2020-01-10 | 2023-01-04 | ジョーダン セレバン、アダム | Apparatus and method for shock detection and associated data transmission |
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2008
- 2008-10-31 CN CN 200810172225 patent/CN101667342A/en active Pending
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103117006A (en) * | 2013-01-14 | 2013-05-22 | 长安大学 | Warning system for preventing secondary traffic accident on highways |
| CN103226891A (en) * | 2013-03-26 | 2013-07-31 | 中山大学 | Video-based vehicle collision accident detection method and system |
| CN105472244A (en) * | 2015-12-08 | 2016-04-06 | 成都芯软科技发展有限公司 | Low-power consumption image acquisition module |
| CN105472244B (en) * | 2015-12-08 | 2018-10-30 | 成都芯软科技发展有限公司 | A kind of low power image acquisition module |
| CN105702032A (en) * | 2016-03-10 | 2016-06-22 | 同济大学 | Roadside accident monitoring and alarming system |
| CN105702092A (en) * | 2016-04-20 | 2016-06-22 | 罗平 | Rear-end-collision-prevention early-warning device and method based on microprocessor |
| CN105913688A (en) * | 2016-06-04 | 2016-08-31 | 迟同胜 | Expressway collision avoidance early warning system and method thereof |
| CN105913688B (en) * | 2016-06-04 | 2019-02-12 | 迟同胜 | A kind of highway anticollision early warning system and method |
| CN107945508A (en) * | 2017-11-02 | 2018-04-20 | 深圳佳比泰智能照明股份有限公司 | The monitoring method and system of a kind of highway |
| WO2019085285A1 (en) * | 2017-11-02 | 2019-05-09 | 深圳佳比泰智能照明股份有限公司 | Monitoring method and system for highway |
| CN107911479A (en) * | 2017-12-07 | 2018-04-13 | 江西省交通运输科学研究院有限公司 | A kind of traffic safety facilities condition checkout gear and its detection method |
| CN110378188A (en) * | 2019-04-20 | 2019-10-25 | 绿桥(泰州)生态修复有限公司 | Double goal detection platform |
| JP2023500165A (en) * | 2020-01-10 | 2023-01-04 | ジョーダン セレバン、アダム | Apparatus and method for shock detection and associated data transmission |
| JP7318136B2 (en) | 2020-01-10 | 2023-07-31 | ジョーダン セレバン、アダム | Apparatus and method for shock detection and associated data transmission |
| WO2021191857A1 (en) * | 2020-03-27 | 2021-09-30 | Pasquale Impero | A management system of vehicular traffic along a carriageway |
| IT202000025129A1 (en) * | 2020-10-23 | 2022-04-23 | Autel S R L | MONITORING SYSTEM FOR ROAD SAFETY BARRIERS |
| CN114059474A (en) * | 2021-10-24 | 2022-02-18 | 廖永宏 | Intelligent expressway accident sensing and intelligent induction security device and method |
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Open date: 20100310 |