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Shared bicycle electronic fence guided parking system and method based on big data

A technology for sharing bicycles and electronic fences, applied in the field of Internet of Things, can solve the problems affecting the city image and the slow travel environment of citizens, and achieve the effect of solving random parking.

Inactive Publication Date: 2018-04-13
SOUTHEAST UNIV
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AI Technical Summary

Problems solved by technology

At present, the parking of shared bicycles in the city has the following defects: the phenomenon of random parking of vehicles is serious, and the random parking of vehicles occupies urban public bicycle lanes, sidewalks, blind roads, non-motorized lanes, densely populated areas where bicycle parking is prohibited, seriously affecting the image of the city and Slow travel environment for citizens

Method used

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  • Shared bicycle electronic fence guided parking system and method based on big data

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Embodiment Construction

[0012] The present invention will be further described below in conjunction with specific drawings.

[0013] Such as figure 1 As shown, the big data-based shared bicycle electronic fence guided parking system includes a data processing and operation service platform, which is installed on the shared bicycle and can collect the location data of the shared bicycle in real time, and send the shared bicycle location data to the The smart lock of the data processing operation service platform, and the electronic fence selected by the data processing operation service platform on the electronic map according to the actual four-point coordinates of the shared bicycle parking area.

[0014] Using the above-mentioned shared bicycle electronic fence guided parking system based on big data to carry out the method of shared bicycle electronic fence guided parking: the method includes the following steps:

[0015] The data processing operation service platform judges whether the shared bi...

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Abstract

The invention discloses a shared bicycle electronic fence guided parking system and method based on big data. The system includes a data processing operation service platform, and a smart lock installed on a shared bicycle. The data processing operation service platform selects an electronic fence on an electronic map according to the actual four-point coordinates of the shared bicycle area, can determine whether the shared bicycle is located in the electronic fence or not according to data of the shared bicycle position sent by the smart lock, and feeds back that the shared bicycle is in therange of the electronic fence to the smart lock when the shared bicycle is in the range of the electronic fence. The smart lock allows the completion of locking according to a signal, otherwise, the smart lock does not allow the completion of locking according to a signal. The system and the method have advantages that the vehicle can be accurately guided and parked.

Description

Technical field: [0001] The invention relates to the field of the Internet of Things, in particular to a big data-based intelligent parking guidance system and method for shared bicycles. Background technique: [0002] Shared bicycle is a bicycle service system used by many people for the purpose of providing citizens with public transportation transfers and short-distance travel, and is an integral part of the urban slow-moving transportation system. At present, the parking of shared bicycles in the city has the following defects: the phenomenon of random parking of vehicles is serious, and the random parking of vehicles occupies urban public bicycle lanes, sidewalks, blind roads, non-motorized lanes, densely populated areas where bicycle parking is prohibited, seriously affecting the image of the city and Citizens travel slowly. Contents of the invention [0003] In order to solve the above existing problems, the present invention provides a shared bicycle electronic fe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/00G07C9/00
CPCG07C9/00309G08G1/205
Inventor 张永杨泽洲刘益昶
Owner SOUTHEAST UNIV
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