基于WiFi定位技术的自助导游系统的研究与设计
发布时间：2018-11-19 21:34
【摘要】：随着人们生活质量的提升,旅游已成为人们休闲娱乐的重要形式之一。传统的旅游方式单一,极大地限制了旅游的自主性。新兴的自助旅游形式能够满足人们个性化的旅游需求,电子导游系统将成为旅游的必需品。而目前的电子导游产品存在功能单一、携带不便及成本较高等缺点,智能化的自助导游系统将是未来电子导游系统的发展方向。因此本学位论文将WiFi定位技术、GPS技术及二维码技术相结合,设计了一种基于Android智能手机平台的自助导游系统。本系统属于智慧旅游系统中的重要组成部分,使用本系统客户端,游客可以在景区实现自我定位以及快速获取景点信息。 首先,设计了自助导游系统的整体架构,深入研究WiFi定位技术和GPS定位原理,对基于位置指纹的WiFi定位算法进行改进,并将该算法与GPS技术结合应用于景区游客自我定位。 其次,根据系统需求,设计服务器、数据库以及应用层通信协议。为了实现服务器快速响应游客的实时流量统计请求,提出了一种将分布式处理与动态缓存技术结合的解决方案。 最后,搭建Android软件开发平台,设计自助导游系统客户端,实现了游客自我定位、游客流量统计、景点和周边查询以及景点多媒体信息的获取等功能,并对各模块进行了测试。 本学位论文设计的自助导游系统可应用在不同的景区环境,友好的用户界面方便游客在自助旅游途中使用,也同样适合游客在旅游前进行路线规划。测试结果表明,在一定的实验环境下,通过采用改进的基于位置指纹的WiFi定位算法,系统自我定位模块的平均定位误差为2米左右,能够达到较好的定位效果,通过进一步的技术与功能的完善,可推广应用于实际的旅游景区。
[Abstract]:With the improvement of people's quality of life, tourism has become one of the important forms of leisure and entertainment. The traditional way of tourism is single, which greatly limits the autonomy of tourism. The new form of self-help tourism can meet the needs of individual travel. Electronic tour guide system will become a necessity of tourism. However, the current electronic tour guide products have the disadvantages of single function, inconvenient carrying and high cost. Intelligent self-help tour guide system will be the development direction of the electronic guide system in the future. Therefore, this thesis combines WiFi positioning technology, GPS technology and QR code technology to design a self-help guide system based on Android smart phone platform. The system is an important part of the intelligent tourism system. Using the client side of the system, tourists can achieve self-positioning and quick access to scenic spot information in the scenic area. Firstly, the whole structure of the self-help tour guide system is designed, the WiFi location technology and the GPS positioning principle are deeply studied, and the WiFi location algorithm based on the location fingerprint is improved, and the algorithm is combined with the GPS technology to apply to the tourist self-localization of scenic spots. Secondly, the server, database and application layer communication protocol are designed according to the system requirements. In order to achieve a fast response of the server to the real-time traffic statistics requests of tourists, a solution combining distributed processing with dynamic caching technology is proposed. Finally, the Android software development platform is built, and the client of the self-help tour guide system is designed, which realizes the functions of self-positioning of tourists, statistics of tourist flow, query of scenic spot and peripheral, and acquisition of multimedia information of scenic spots, and the modules are tested. The self-help tour guide system designed in this thesis can be used in different scenic areas. The friendly user interface is convenient for tourists to use in self-service travel, and it is also suitable for tourists to plan their routes before traveling. The test results show that the average positioning error of the self-localization module is about 2 meters by using the improved WiFi location algorithm based on position fingerprint in a certain experimental environment, which can achieve a better localization effect. Through the further improvement of technology and function, it can be popularized and applied to the actual tourist attractions.
【学位授予单位】：延边大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN92;TP311.52
本文编号：2343487
[Abstract]:With the improvement of people's quality of life, tourism has become one of the important forms of leisure and entertainment. The traditional way of tourism is single, which greatly limits the autonomy of tourism. The new form of self-help tourism can meet the needs of individual travel. Electronic tour guide system will become a necessity of tourism. However, the current electronic tour guide products have the disadvantages of single function, inconvenient carrying and high cost. Intelligent self-help tour guide system will be the development direction of the electronic guide system in the future. Therefore, this thesis combines WiFi positioning technology, GPS technology and QR code technology to design a self-help guide system based on Android smart phone platform. The system is an important part of the intelligent tourism system. Using the client side of the system, tourists can achieve self-positioning and quick access to scenic spot information in the scenic area. Firstly, the whole structure of the self-help tour guide system is designed, the WiFi location technology and the GPS positioning principle are deeply studied, and the WiFi location algorithm based on the location fingerprint is improved, and the algorithm is combined with the GPS technology to apply to the tourist self-localization of scenic spots. Secondly, the server, database and application layer communication protocol are designed according to the system requirements. In order to achieve a fast response of the server to the real-time traffic statistics requests of tourists, a solution combining distributed processing with dynamic caching technology is proposed. Finally, the Android software development platform is built, and the client of the self-help tour guide system is designed, which realizes the functions of self-positioning of tourists, statistics of tourist flow, query of scenic spot and peripheral, and acquisition of multimedia information of scenic spots, and the modules are tested. The self-help tour guide system designed in this thesis can be used in different scenic areas. The friendly user interface is convenient for tourists to use in self-service travel, and it is also suitable for tourists to plan their routes before traveling. The test results show that the average positioning error of the self-localization module is about 2 meters by using the improved WiFi location algorithm based on position fingerprint in a certain experimental environment, which can achieve a better localization effect. Through the further improvement of technology and function, it can be popularized and applied to the actual tourist attractions.
【学位授予单位】：延边大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN92;TP311.52
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