|本期目录/Table of Contents|

[1]谢文娣,王海龙,黄家宝,等.基于卫星定位技术的智能出行系统研究[J].绵阳师范学院学报,2020,(02):100-103.[doi:10.16276/j.cnki.cn51-1670/g.2020.02.019]
 XIE Wendi,WANG Hailong,HUANG Jiabao,et al.Research for Intelligent Travel System Based on Satellite Positioning Technology[J].Journal of Mianyang Normal University,2020,(02):100-103.[doi:10.16276/j.cnki.cn51-1670/g.2020.02.019]
点击复制

基于卫星定位技术的智能出行系统研究(PDF)
分享到:

《绵阳师范学院学报》[ISSN:1672-612X/CN:51-1670/G]

卷:
期数:
2020年02期
页码:
100-103
栏目:
计算机与网络技术
出版日期:
2020-02-15

文章信息/Info

Title:
Research for Intelligent Travel System Based on Satellite Positioning Technology
文章编号:
1672-612X(2020)02-0100-04
作者:
谢文娣王海龙黄家宝贺文龙
安徽新华学院电子通信工程学院,安徽合肥 230088
Author(s):
XIE WendiWANG HailongHUANG JiabaoHE Wenlong
Electronic Communcation Engineering College,Anhui Xinhua University,Hefei,Anhui 230088
关键词:
卫星定位 蓝牙技术 GPRS 远程云服务器
Keywords:
satellite positioningbluetooth technology GPRS temote cloud server
分类号:
TN914
DOI:
10.16276/j.cnki.cn51-1670/g.2020.02.019
文献标志码:
A
摘要:
本文阐述了以CC2540芯片为控制核心,结合卫星定位技术、蓝牙技术、GPRS通信技术实现的智能出行记录系统.该系统可以实时监测当前的经纬度、海拔高、速度、日期、时间等信息,并通过蓝牙发送到手机APP上实时显示,同时通过GPRS上传至远程云服务器存储.它可安装于汽车、无人机、轮船等运动载体上,实现对运动载体运动信息的全方位监测,具有良好的应用前景和商业价值.
Abstract:
This paper describes an intelligent travel record system with CC2540 chip as the control core, combined with satellite positioning technology, bluetooth technology and GPRS communication technology. The system can monitor the current longitude, latitude, altitude, speed, date, time and other information in real time, and send it to the mobile phone APP for real-time display through bluetooth, and upload it to the remote cloud server for storage through GPRS. The system can be installed on vehicles, unmanned aerial vehicles, ships and other sports carriers, realizing the comprehensive monitoring of the movement information of sports carriers, which has a good application prospect and commercial value.

参考文献/References:

[1] 刘应杰.户外出行安全与卫星通信应用[J].卫星与网络,2016(04):28+30.
[2] 卫晓彤. 基于HTML5的智能出行系统的设计与实现[D].北京:北京邮电大学,2017.
[3] 陈刚. 智能出行系统服务器端的设计与实现[D].北京:北京邮电大学,2017.
[4] 李喆,孙健,倪训友.基于智能手机大数据的交通出行方式识别研究[J].计算机应用研究,2016,33(12):3527-3529+3558.
[5] SubramaniyaswamyV., Vijayakumar V., Logesh,R. et al. Intelligent Travel Recommendation System by Mining Attributes from Community Contributed Photos[J]. Procedia Computer Science,2015,50.
[6] Xiaogang Qu, Gening Xu, Xiaoning Fan, et al.Intelligent optimization methods for the design of an overhead travelling crane.Chinese Journal of Mechanical Engineering, 2015, 28(1):187-196.

相似文献/References:

备注/Memo

备注/Memo:
收稿日期:2019-07-07
基金项目:安徽省教学研究项目(2016jy0470); 安徽新华学院通信工程模块化课程试点专业(2016mkhkc01)1; 安徽新华学院校级质量工程项目(2017jpkcx16).
第一作者简介:谢文娣(1987-),女,湖南永州人,讲师,硕士,研究方向:嵌入式系统、计算机网络和移动通信.
更新日期/Last Update: 2020-02-15