CN205230373U - Black spot forecast warning system - Google Patents

Black spot forecast warning system Download PDF

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Publication number
CN205230373U
CN205230373U CN201521088965.7U CN201521088965U CN205230373U CN 205230373 U CN205230373 U CN 205230373U CN 201521088965 U CN201521088965 U CN 201521088965U CN 205230373 U CN205230373 U CN 205230373U
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CN
China
Prior art keywords
black spot
information
base station
receiving trap
station apparatus
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.)
Expired - Fee Related
Application number
CN201521088965.7U
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Chinese (zh)
Inventor
李一多
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Xiamen University of Technology
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Xiamen University of Technology
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Filing date
Publication date
Application filed by Xiamen University of Technology filed Critical Xiamen University of Technology
Priority to CN201521088965.7U priority Critical patent/CN205230373U/en
Application granted granted Critical
Publication of CN205230373U publication Critical patent/CN205230373U/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

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Abstract

The utility model discloses a black spot forecast warning system, including information bank database server, backend server, central circuit module, basic station device and receiving arrangement, this system is based on the information of present black spot information, more accurate forecast black spot to the emergence of prevention traffic accident that can be fine.

Description

A kind of black spot predicting reminding system
Technical field
The utility model relates to field of traffic safety, particularly a kind of black spot predicting reminding system.
Background technology
Current domestic communication black spot does not have official and accurate forecast mechanism to remind transport personnel, similarly have GPS forecast system, this forecast frequently apply to forecast road camera instead of road conditions.The forecast system of the road condition safety the had prompting of minority, just according to section landform, road trend analyzes road risk factor to remind drivers, and such predicting reminding is more partial to theoretical property, and near the situation of reality and the custom of drivers.Therefore, according to actual conditions, accurate forecast system for prompting can strengthen traffic route safety greatly, reminds the careful driving of driver.
Utility model content
The utility model proposes a kind of black spot predicting reminding system, black spot is reminded in accurate forecast more, greatly strengthens traffic route safety.
Concrete scheme is as follows:
A kind of black spot predicting reminding system, it is characterized in that: comprise repository database server, background server, central circuit module, base station apparatus and receiving trap, described repository database server stores black spot information, described background server is connected with repository database server and carries out typing and amendment to information, described background server and described base station apparatus to be set up with wireless network by central circuit module and are connected, information is also sent to receiving trap by the information that described base station apparatus reception background server sends, described receiving trap receives the information that base station sends, described receiving trap is also provided with reminding unit.
Further, described background server is provided with cloud computing processor.
Optional, described receiving trap is one or more in GPS terminal, communication terminal.
Further, described base station apparatus is loaded on the location of Frequent Accidents ground leading portion more than 500 meters.
Optional, described wireless network is one or more in 2G, 3G or 4G network.
Native system according to existing black spot information, the more information of accurate forecast black spot, thus can be good at the generation preventing traffic hazard.
Accompanying drawing explanation
Fig. 1 shows the theory diagram of native system.
Embodiment
For further illustrating each embodiment, the utility model provides accompanying drawing.These accompanying drawings are a part for the utility model disclosure, and it is mainly in order to illustrate embodiment, and the associated description of instructions can be coordinated to explain the operation principles of embodiment.Coordinate with reference to these contents, those of ordinary skill in the art will be understood that other possible embodiments and advantage of the present utility model.Now with embodiment, the utility model is further illustrated by reference to the accompanying drawings.
Composition graphs 1, black spot predicting reminding system comprises repository database server, background server, central circuit module, base station apparatus, receiving trap, wherein, repository database server stores black spot information, information library server adopts double-machine standby technology to prevent database server loss of data, background server is provided with a management system, this system can carry out typing and amendment to black spot information, also there emerged a black spot with representing intuitively of chart, the black spot information data of information for being provided by Ministry of Communications of repository database, background server is provided with cloud computing processor simultaneously, to realize the process of data in enormous quantities, black spot information is sent to corresponding base station apparatus by central circuit module in wireless network transmissions mode by background server, base station apparatus receives the information of background server transmission and information is sent to receiving trap, in order to early warning prompting can be carried out to the vehicle travelled in advance, general base station apparatus is loaded on the location of Frequent Accidents ground leading portion more than 500 meters, receiving trap is GPS terminal or communication terminal, when receiving trap is GPS terminal, when vehicle travels the radiation scope entering base station apparatus, GPS terminal or communication terminal receive the information that base station apparatus sends, and carry out voice broadcast and enter black spot careful driving to remind driver.Generally receiving trap not optional m igration communicating terminal, main cause is that security is poor, when receiving trap is communication terminal, use telecommunications cellular system to carry out short message sending prompting, communication terminal voice reading note reminds driver simultaneously.
As preferred embodiment, in native system between information library server and base station apparatus, 4G network is all adopted to carry out the transmission of data between base station apparatus and receiving trap, to ensure the stability transmitted, this area related personnel it will be appreciated that, network for the employing between data transmission also can adopt 2G or 3G network, transmits the radio network technique adopted and does not limit.
Although specifically show in conjunction with preferred embodiment and describe the utility model; but those skilled in the art should be understood that; not departing from the spirit and scope of the present utility model that appended claims limits; can make a variety of changes the utility model in the form and details, be protection domain of the present utility model.

Claims (5)

1. a black spot predicting reminding system, it is characterized in that: comprise repository database server, background server, central circuit module, base station apparatus and receiving trap, described repository database server stores black spot information, described background server is connected with repository database server and carries out typing and amendment to information, described background server and described base station apparatus to be set up with wireless network by central circuit module and are connected, information is also sent to receiving trap by the information that described base station apparatus reception background server sends, described receiving trap receives the information that base station sends, described receiving trap is also provided with reminding unit.
2. black spot according to claim 1 predicting reminding system, is characterized in that: described background server is provided with cloud computing processor.
3. black spot according to claim 1 predicting reminding system, is characterized in that: described receiving trap is one or more in GPS terminal or communication terminal.
4. black spot according to claim 1 predicting reminding system, is characterized in that: described base station apparatus is loaded on the location of Frequent Accidents ground leading portion more than 500 meters.
5. black spot according to claim 1 predicting reminding system, is characterized in that: described wireless network is one or more in 2G, 3G or 4G network.
CN201521088965.7U 2015-12-24 2015-12-24 Black spot forecast warning system Expired - Fee Related CN205230373U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201521088965.7U CN205230373U (en) 2015-12-24 2015-12-24 Black spot forecast warning system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201521088965.7U CN205230373U (en) 2015-12-24 2015-12-24 Black spot forecast warning system

Publications (1)

Publication Number Publication Date
CN205230373U true CN205230373U (en) 2016-05-11

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Family Applications (1)

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CN201521088965.7U Expired - Fee Related CN205230373U (en) 2015-12-24 2015-12-24 Black spot forecast warning system

Country Status (1)

Country Link
CN (1) CN205230373U (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107357281A (en) * 2017-06-23 2017-11-17 芜湖恒天易开软件科技股份有限公司 Research on Vehicle Remote Monitoring System Based on GPRS and method
CN107666654A (en) * 2017-09-05 2018-02-06 广东欧珀移动通信有限公司 Reminding method, communication equipment and the computer-readable storage medium of specific region
CN108513278A (en) * 2018-04-04 2018-09-07 中国联合网络通信集团有限公司 A kind of system for prompting and based reminding method avoiding parking offense
CN114582132A (en) * 2022-05-05 2022-06-03 四川九通智路科技有限公司 Vehicle collision detection early warning system and method based on machine vision

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107357281A (en) * 2017-06-23 2017-11-17 芜湖恒天易开软件科技股份有限公司 Research on Vehicle Remote Monitoring System Based on GPRS and method
CN107666654A (en) * 2017-09-05 2018-02-06 广东欧珀移动通信有限公司 Reminding method, communication equipment and the computer-readable storage medium of specific region
CN108513278A (en) * 2018-04-04 2018-09-07 中国联合网络通信集团有限公司 A kind of system for prompting and based reminding method avoiding parking offense
CN114582132A (en) * 2022-05-05 2022-06-03 四川九通智路科技有限公司 Vehicle collision detection early warning system and method based on machine vision

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Date Code Title Description
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20160511

Termination date: 20181224