CN204667645U - Intelligent bridge collision monitor and early warning system - Google Patents
Intelligent bridge collision monitor and early warning system Download PDFInfo
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- CN204667645U CN204667645U CN201520388253.0U CN201520388253U CN204667645U CN 204667645 U CN204667645 U CN 204667645U CN 201520388253 U CN201520388253 U CN 201520388253U CN 204667645 U CN204667645 U CN 204667645U
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- bridge
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- boats
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- early warning
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Abstract
The utility model provides a kind of intelligent bridge collision monitor and early warning system, it is characterized in that: it comprises: be arranged on the figure harvester on bridge, it is arranged on the centre position in the navigation channel between bridge navigable, for orientation and the ship trajectory of Real-time Collection boats and ships; Surveillance center, be connected with figure harvester, and for carrying out the collision judgment with bridge navigable to the boats and ships orientation of figure harvester collection and ship trajectory, and output evades signal to boats and ships, by monitoring in real time the navigation boats and ships in bridge waters, utilize video detection technology, bridge waters bridge collision prevention parameter is asked for, in conjunction with manipulation simulation study, solve the gordian technique of the active collision prevention of bridge navigation safe early warning pre-control.
Description
Technical field
The utility model relates to a kind of river channel pick-up unit, especially relates to a kind of intelligent bridge collision warning systems.
Background technology
Along with the develop rapidly of national economy and transportation, build up across river, bridge spanning the sea or planned, design and build in a large number under this opportunity.The building up and go into operation while providing convenient for land transportation transport, facilitate the people's livelihood and promote Regional Economic Development of these bridges, bring many unfavorable factors also to water route communications and transportation, the ship collision Bridge Accidents caused because bridge construction takies ship navigation waters happens occasionally.
For bridge collision problem, all carry out a large amount of research work both at home and abroad, between the outer ship bridge of Present Domestic, safety and bridge collision prevention are studied more, roughly the following aspects can be summed up as: the mechanics study of (1) ship-bridge collision, the mechanical mechanism of main research ship-bridge collision and computing method; (2) ship collision bridge risks is analyzed, the probability collided between ships and bridge; (3) ship-bridge collision accident research, ships collides the reason of bridge and sets up ship-bridge collision casualty data storehouse; (4) anticollision device of pier research.
Up to now, these correlative studys and achievement are all the angles that rear passive protection occurs from collision accident, instead of from the reason of accident, for the purpose of initiatively preventing, therefore be a kind of passive complementary means, fundamentally do not solve the safety problem that ship from colliding bridge brings, be difficult to the generation fundamentally avoiding this type of accident.
Utility model content
In order to solve the deficiency of above-mentioned technology, the purpose of this utility model is to provide a kind of intelligent bridge collision warning systems.
The utility model provides: a kind of intelligent bridge collision monitor and early warning system, and it comprises:
Be arranged on the figure harvester on bridge, it is arranged on the centre position in the navigation channel between bridge navigable, for orientation and the ship trajectory of Real-time Collection boats and ships;
Surveillance center, is connected with figure harvester, and for carrying out the collision judgment with bridge navigable to the boats and ships orientation of figure harvester collection and ship trajectory, and exports and evade signal to boats and ships.
Described figure harvester adopts ccd video camera.
Described figure harvester is arranged on each transitable navigable of bridge.
Both sides, described navigation channel arrange the channel buoy for representing position, navigation channel.
The utility model is by monitoring in real time the navigation boats and ships in bridge waters, utilize video detection technology, bridge waters bridge collision prevention parameter is asked for, in conjunction with manipulation simulation study, solves the gordian technique of the active collision prevention of bridge navigation safe early warning pre-control.
Accompanying drawing explanation
Fig. 1 is scheme of installation of the present utility model.
Fig. 2 is the algorithm principle figure of Surveillance center.
Embodiment
Below in conjunction with accompanying drawing, the utility model embodiment is described further:
As shown in Figure 1, the utility model provides a kind of intelligent bridge to collide monitor and early warning system, and it comprises:
Be arranged on the figure harvester on bridge, it is arranged on the centre position in the navigation channel between bridge navigable, for orientation and the ship trajectory of Real-time Collection boats and ships;
Surveillance center, is connected with figure harvester, and for carrying out the collision judgment with bridge navigable to the boats and ships orientation of figure harvester collection and ship trajectory, and exports and evade signal to boats and ships.Numbered analog simulation experiment is combined with physical model experiment, derives boats and ships bridge district's collision prevention distance parameter by Similar, propose the forecasting procedure of the minimum collision prevention advance value of specific bridge district specific ship type.
Described figure harvester adopts ccd video camera, and described figure harvester is arranged on each transitable navigable of bridge, and Real-time Collection bridge district scene video, video data is sent to the software processing platform being installed on Surveillance center and processes.
Both sides, described navigation channel arrange the channel buoy for representing position, navigation channel, for judging the position in navigation channel, to ensure that the signal of figure harvester collection can represent the position in navigation channel more accurately, more accurate to make vessel position judge.
The core algorithm of Surveillance center is SCAS algorithm, system utilizes image and video technique automatically to detect ship target, and view-based access control model geometric model carries out boats and ships space orientation, extracts ship motion situation parameter, then handle knowwhy and correlation model in conjunction with ship's navigation, carry out ship-bridge collision risk profile and export collision avoidance maneuvering order.SCAS algorithmic system scheme as shown in Figure 2.
First the video sequence gathered from figure harvester realizes the target detection to boats and ships, and associate with flight path, thus obtain two data, target and movement locus, then space orientation and state of motion parameter extraction is carried out by computer vision geometric model and ccd video camera scaling parameter, obtain the locus of current boats and ships, distance, size, speed and course angle, and the parameters input Ship Controling model that will obtain, Qie Yuqiao district wind, stream and environmental parameter come together to obtain risk of collision prediction and collision avoidance decision-making, then collision avoidance maneuvering order is sent to boats and ships, realize bridge anti-collision warning.
The vision signal of computer vision technique to the collection of figure harvester is utilized to process, analyze and understand; when not needing human intervention; by sequence image automatic analysis, the change in monitoring scene is positioned, identifies and followed the tracks of; and analyze and judge the behavior of target on this basis; can give the alarm in time when abnormal conditions occur or useful information is provided; effectively assist Security Officer to process crisis, and reduce wrong report to greatest extent and fail to report.
Simultaneously Surveillance center judges the running orbit of boats and ships by simulation, realizes collision warning, and the control command that transmission is evaded, and boats and ships accept control command by passive reception data mode, this control command can synchronous transmission to maritime affairs and bridge competent authority.
Embodiment should not be considered as restriction of the present utility model, but any improvement done based on spirit of the present utility model, all should within protection domain of the present utility model.
Claims (4)
1. an intelligent bridge collision monitor and early warning system, is characterized in that: it comprises:
Be arranged on the figure harvester on bridge, it is arranged on the centre position in the navigation channel between bridge navigable, for orientation and the ship trajectory of Real-time Collection boats and ships;
Surveillance center, is connected with figure harvester, and for carrying out the collision judgment with bridge navigable to the boats and ships orientation of figure harvester collection and ship trajectory, and exports and evade signal to boats and ships.
2. intelligent bridge collision monitor and early warning system according to claim 1, it is characterized in that, described figure harvester adopts ccd video camera.
3. intelligent bridge collision monitor and early warning system according to claim 1 and 2, it is characterized in that, described figure harvester is arranged on each transitable navigable of bridge.
4. intelligent bridge collision monitor and early warning system according to claim 1, it is characterized in that, both sides, described navigation channel arrange the channel buoy for representing position, navigation channel.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201520388253.0U CN204667645U (en) | 2015-06-09 | 2015-06-09 | Intelligent bridge collision monitor and early warning system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201520388253.0U CN204667645U (en) | 2015-06-09 | 2015-06-09 | Intelligent bridge collision monitor and early warning system |
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| Publication Number | Publication Date |
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| CN204667645U true CN204667645U (en) | 2015-09-23 |
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| CN201520388253.0U Expired - Fee Related CN204667645U (en) | 2015-06-09 | 2015-06-09 | Intelligent bridge collision monitor and early warning system |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106530837A (en) * | 2016-11-14 | 2017-03-22 | 浙江大学 | Active ship collision preventing method for bridge based on machine vision |
| CN107909601A (en) * | 2017-12-14 | 2018-04-13 | 江苏省新通智能交通科技发展有限公司 | A kind of shipping anti-collision early warning video detection system and detection method suitable for navigation mark |
| CN108335528A (en) * | 2018-03-14 | 2018-07-27 | 中山北京理工大学研究院 | Bridge warning method and system based on coordinate system positioning and tracking |
| CN108417094A (en) * | 2018-05-10 | 2018-08-17 | 中国水产科学研究院南海水产研究所 | A kind of low-power consumption boat-carrying anti-collision warning method |
| CN110060281A (en) * | 2019-03-25 | 2019-07-26 | 同济大学 | A kind of ship and over-water floats trajectory track system |
| CN112634658A (en) * | 2020-12-18 | 2021-04-09 | 武汉欣海远航科技研发有限公司 | Acousto-optic early warning method and system for safety supervision of offshore wind farm |
| CN113744570A (en) * | 2021-11-03 | 2021-12-03 | 武汉理工大学 | Anti-collision early warning method and device for ships in water area of bridge area |
-
2015
- 2015-06-09 CN CN201520388253.0U patent/CN204667645U/en not_active Expired - Fee Related
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106530837A (en) * | 2016-11-14 | 2017-03-22 | 浙江大学 | Active ship collision preventing method for bridge based on machine vision |
| CN106530837B (en) * | 2016-11-14 | 2019-02-05 | 浙江大学 | Actively anti-ship hits method for a kind of bridge based on machine vision |
| CN107909601A (en) * | 2017-12-14 | 2018-04-13 | 江苏省新通智能交通科技发展有限公司 | A kind of shipping anti-collision early warning video detection system and detection method suitable for navigation mark |
| CN108335528A (en) * | 2018-03-14 | 2018-07-27 | 中山北京理工大学研究院 | Bridge warning method and system based on coordinate system positioning and tracking |
| CN108417094A (en) * | 2018-05-10 | 2018-08-17 | 中国水产科学研究院南海水产研究所 | A kind of low-power consumption boat-carrying anti-collision warning method |
| CN110060281A (en) * | 2019-03-25 | 2019-07-26 | 同济大学 | A kind of ship and over-water floats trajectory track system |
| CN110060281B (en) * | 2019-03-25 | 2023-02-28 | 同济大学 | Ship and water floater track tracking system |
| CN112634658A (en) * | 2020-12-18 | 2021-04-09 | 武汉欣海远航科技研发有限公司 | Acousto-optic early warning method and system for safety supervision of offshore wind farm |
| CN113744570A (en) * | 2021-11-03 | 2021-12-03 | 武汉理工大学 | Anti-collision early warning method and device for ships in water area of bridge area |
| CN113744570B (en) * | 2021-11-03 | 2022-03-25 | 武汉理工大学 | Anti-collision early warning method and device for ships in water area of bridge area |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CB03 | Change of inventor or designer information |
Inventor after: Chen Yafei Inventor after: Zheng Yuanzhou Inventor before: Zheng Yuanzhou Inventor before: Chen Yafei |
|
| COR | Change of bibliographic data | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20150923 Termination date: 20160609 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |