基于iBeacon的站内定位导航系统设计研究

通过研究国内外室内定位技术应用现状,分析在铁路车站内基于iBeacon实现定位、导航,构建站内导航系统的可行性。提出了基于iBeacon的指纹匹配定位算法,采用面向服务的架构体系,融合多源系统异构数据,提出并设计了站内导航系统总体架构、逻辑架构及网络架构。设计了站内导航系统的功能,满足了旅客在站内对位置服务的需求及对站内外导航接续服务需求。利用大数据分析及数据挖掘技术为铁路车站工作人员提供了站内商业智能分析。通过系统的建设能够解决旅客在站内“迷路”的难题,提升旅客出行体验,改善客运服务质量,降低客运服务成本。

Positioning navigation system in station based on iBeacon

By studying the application status of indoor positioning technology at home and abroad, analyzing the feasibility of positioning navigation based on iBeacon in railway station and building a positioning navigation system in the station, this paper proposed the fingerprint matching algorithm based on iBeacon, used service oriented architecture and integrated heterogeneous data from multiple systems to design the overall architecture, logical architecture and network architecture of the positioning navigation system. The designed system function could meet the requirements of the passengers for position in the station and for navigation connection service in and outside the station. The use of big data analysis and data mining technology provides railway station staff with business intelligence analysis in station. The construction of the positioning navigation system could solve the problem of “lost” in the station, enhance the passenger travel experience, improve the passenger service quality and reduce the passenger service cost.