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Intelligent car search method and system based on mobile network

A mobile network and car search technology, applied in the field of intelligent car search methods and systems in parking lots, can solve the problems of inconvenient use and low degree of automation, improve user experience, avoid the inconvenience of recording parking space information, and provide a convenient car search service Effect

Inactive Publication Date: 2018-09-07
UNILAB SHANGHAI
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AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method and system for intelligent car search in a parking lot based on a mobile network. By accessing the parking space detection system and the car search server on the MEC server deployed in the mobile operator's 4G / 5G network, parking identification and The automation of the car-finding process solves the problem that the current car-finding system is not highly automated and inconvenient to use, and helps users find the parking location of the car conveniently and quickly

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  • Intelligent car search method and system based on mobile network

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Embodiment Construction

[0028] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0029] figure 1 It is a schematic diagram of an intelligent car-finding system based on the mobile network of the present invention. Including parking space detection module 101, UE equipment 102, parking space detection gateway 103, wireless base station 104, MEC server 105, internet 106, mobile operator's core network 107 and car search server 108, etc., MEC, car search server and All UE devices are connected to the internet.

[0030] figure 2 It is a flowchart of an intelligent car-finding method based on a mobile network according to an embodiment of the present invention. The whole implementation example includes two processes of the user parking and the user finding the car.

[0031] The parking process is as follows: Step S201: MEC obtains UE...

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Abstract

The invention provides an intelligent car search method and system based on a mobile network. By means of the technical scheme, a technology of deploying MEC to a wireless access side under the 4 / 5G mobile network and the unique characteristic of a UE identifier are utilized, a positioning technology of a mobile base station and an existing detection technology for parking spaces of a parking lotare combined, a car search server associates location information of UE with the state change of the parking spaces, automatically judges parking behaviors of users and associates the UE with the parking spaces, parking space data of the users is automatically recorded, convenient car search services are provided on the basis, and the users do not need to enter the parking lot.

Description

technical field [0001] The invention relates to the field of mobile communication networks, in particular to a mobile network-based intelligent car-finding method and system in a parking lot. Background technique [0002] With the increase of vehicles, there are more and more large parking lots, many of which are built in the basement, and some are still multi-storey garages. In such a large parking lot, the user’s parking route is often different from the route back to find the car. In addition, the direction in the parking lot is not easy to distinguish, and the user often spends a lot of energy and time when looking for a car, which reduces the user experience. . [0003] In the existing car-finding systems in parking lots, users generally need to register their license plate and parking location in various ways after parking the vehicle, such as manual recording, swiping the parking card or following WeChat, and registering after downloading the APP. Then find a specif...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/14H04W4/024
CPCH04W4/024G08G1/148
Inventor 王蓉
Owner UNILAB SHANGHAI
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