计算机与现代化

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基于ZigBee的博物馆参观引导系统

  

  1. (惠州学院信息科学技术学院,广东 惠州 516007)
  • 收稿日期:2016-10-14 出版日期:2017-06-23 发布日期:2017-06-23
  • 作者简介:钟锡武(1993-),男,广东揭阳人,惠州学院信息科学技术学院本科生,研究方向:ZigBee无线传感器网络; 许淳煜(1995-),男,广东普宁人,本科生,研究方向:服务器程序开发,Java程序设计; 黄奕涛(1995-),男,广东汕头人,本科生,研究方向:安卓APP开发,数据库设计; 通信作者:黄震(1980-),男,江西上高人,讲师,硕士,研究方向:无线传感器网络,智能算法。
  • 基金资助:
    惠州市科技计划项目(2015ZX023); 惠州学院自然科学项目(hzuxl201417); 广东省大学生创新训练项目(201610577049)

Museum Visiting and Guiding System Based on ZigBee

  1. (School of Information Science and Technology, Huizhou University, Huizhou 516007, China)
  • Received:2016-10-14 Online:2017-06-23 Published:2017-06-23

摘要: 目前人们在室外可以很精确地利用手机GPS功能规划自己的行程线路,但是室内环境复杂,存在多径现象,GPS很难在室内环境下定位。在前人对ZigBee室内定位的研究的基础上,利用指纹定位算法的原理,将ZigBee的室内定位技术应用于游客参观博物馆的场景中。系统采用ZigBee无线局域网,利用接收信号强度指示(Received Signal Strength Indication, RSSI)值及指纹定位算法,借助GPRS模块传输数据,利用数据库服务器处理数据,并通过安卓APP监控数据,使得游客在博物馆中的位置信息能及时地在APP上显示,同时根据游客在博物馆中位置,将游客参观的展品的信息推送给游客。测试结果表明,系统运行良好,基本符合预期要求。

关键词: ZigBee, 室内定位, 信号强度指示, 指纹定位, 安卓

Abstract: At present, people can use mobile GPS function to accurately plan travel route outdoors. However, indoor environment is so complex and having multipath phenomenon. So it is difficult for GPS to position in an indoor environment. Combining with the previous studies and based on the principle of fingerprint location algorithm, this paper applies the ZigBee indoor positioning technology in the scene of visitors to visit museum. By using ZigBee wireless local area network, received signal strength indication and fingerprint location algorithm, the system uses the GPRS module to transfer data, the database server to process data, and the Android APP to monitor data. So it could make the visitors’ location information in the museum to be displayed on the APP in a timely manner. At the same time, it could push the information of the exhibit that visitors are visiting according to the location of them in the museum. Test results show that the system operation is good and is in line with the expected requirements basically.

Key words: ZigBee, indoor positioning, signal strength indication, fingerprint location algorithm, Android

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