基于LBS和云平台的校园服务系统设计与实现
发布时间：2018-11-18 21:28
【摘要】：移动互联网的飞速发展,使得传统的PC机上的业务逐渐的向智能移动终端方向延伸,越来越多的用户需求在移动端上得以实现。传统PC端上的校园信息服务系统功能单一,远远满足不了学生的全方位需求,因此将数字化校园服务和学生的生活、学习、娱乐结合起来具备迫切的现实价值和意义。本论文针对校园信息服务和学生的现实需求,开发了一款基于LBS和云平台的校园服务系统的应用软件,为学生提供高效、便捷的数字化服务,以满足学生在校期间各个方面的需求。该系统在实现的过程中,主要运用Eclipse平台,采用了JAVA、XML、HTML、JSON等语言,并且使用了Bmob云服务器以及云数据库、缓存功能,同时还采用了科大讯飞MSC人脸识别,声纹识别方案、科大讯飞MSC语音交互处理、极光JpushSDK推送、一键分享ShareSDK、百度LBS开发平台、Jsoup网页抓取数据解析,Zxing二维码扫描,支付宝第三方支付,JSON数据解析,NFC近场通信等技术,主要实现了人脸识别注册和登录、声纹识别注册和登录、LBS位置采集与传输、校园数字图书馆、教务系统、扫描找书及分享阅读心得、校园一卡通查询、失物招领、校园2D地图定位导航及3D街景地图、快递查询、外卖订餐、华大影讯网上购票、NFC近场通信刷卡签到、校园资讯及资讯分享、兼职中心、语音交互搜索、个性化推荐引擎、基于LBS的位置聊天交友、校园互助平台、消息推送等20项主要功能。互联网上信息的爆炸式增长,使得用户获取自己感兴趣信息难度增加。为了方便不同用户及时了解自己感兴趣的信息,本论文对个性化推荐算法进行了重点研究。特别是对传统协同过滤算法的改进,提出了改进后的算法设计方案。根据改进后的算法开发了新的个性化推荐引擎,并成功运用到本系统中。测试表明,本论文开发的数字化校园服务系统各个功能模块运行稳定,均达到了预期要求,为提高校园教学服务水平和学生的学习效率、丰富学生的文化生活、增强信息交流提供了一个高效快捷的数字化信息平台。
[Abstract]:With the rapid development of mobile Internet, the traditional PC machine business gradually extends to the intelligent mobile terminal, and more user needs can be realized on the mobile terminal. The function of campus information service system on traditional PC is single, which can not meet the all-around demand of students. Therefore, it is of urgent practical value and significance to combine digital campus service with students' life, study and entertainment. In this paper, a campus service system based on LBS and cloud platform is developed to provide students with efficient and convenient digital service. To meet the needs of students in all aspects of school. In the process of implementation, the system mainly uses Eclipse platform, JAVA,XML,HTML,JSON and other languages, and uses Bmob cloud server, cloud database, cache function, and iFLYTEK MSC face recognition. Voice recognition scheme, iFLYTEK MSC voice interactive processing, aurora JpushSDK push, one-click sharing ShareSDK, Baidu LBS development platform, Jsoup web page capture data analysis, Zxing QR code scanning, Alipay third-party payment, JSON data analysis, NFC near-field communication technology mainly realizes face recognition registration and login, voice-recognition registration and login, LBS location acquisition and transmission, campus digital library, educational administration system, scanning and searching books and sharing reading experience, campus one-card inquiry, etc. Lost and found, campus 2D map location navigation and 3D street view map, express delivery inquiry, take-out order, online ticket purchase, NFC near field communication card check in, campus information and information sharing, part-time center, voice interactive search, Personalized recommendation engine, LBS-based location chat dating, campus mutual support platform, message push and other 20 main functions. The explosive growth of information on the Internet makes it more difficult for users to obtain information of their own interest. In order to make it easier for different users to know the information they are interested in time, this paper focuses on the personalized recommendation algorithm. Especially for the improvement of the traditional collaborative filtering algorithm, the improved algorithm design scheme is put forward. According to the improved algorithm, a new personalized recommendation engine is developed and successfully applied to the system. The test results show that each function module of the digital campus service system developed in this paper runs stably and meets the expected requirements. In order to improve the level of campus teaching service and students' learning efficiency, enrich the students' cultural life. Enhanced information exchange provides an efficient and fast digital information platform.
【学位授予单位】：华中师范大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TP311.52;TP393.09
本文编号：2341307
[Abstract]:With the rapid development of mobile Internet, the traditional PC machine business gradually extends to the intelligent mobile terminal, and more user needs can be realized on the mobile terminal. The function of campus information service system on traditional PC is single, which can not meet the all-around demand of students. Therefore, it is of urgent practical value and significance to combine digital campus service with students' life, study and entertainment. In this paper, a campus service system based on LBS and cloud platform is developed to provide students with efficient and convenient digital service. To meet the needs of students in all aspects of school. In the process of implementation, the system mainly uses Eclipse platform, JAVA,XML,HTML,JSON and other languages, and uses Bmob cloud server, cloud database, cache function, and iFLYTEK MSC face recognition. Voice recognition scheme, iFLYTEK MSC voice interactive processing, aurora JpushSDK push, one-click sharing ShareSDK, Baidu LBS development platform, Jsoup web page capture data analysis, Zxing QR code scanning, Alipay third-party payment, JSON data analysis, NFC near-field communication technology mainly realizes face recognition registration and login, voice-recognition registration and login, LBS location acquisition and transmission, campus digital library, educational administration system, scanning and searching books and sharing reading experience, campus one-card inquiry, etc. Lost and found, campus 2D map location navigation and 3D street view map, express delivery inquiry, take-out order, online ticket purchase, NFC near field communication card check in, campus information and information sharing, part-time center, voice interactive search, Personalized recommendation engine, LBS-based location chat dating, campus mutual support platform, message push and other 20 main functions. The explosive growth of information on the Internet makes it more difficult for users to obtain information of their own interest. In order to make it easier for different users to know the information they are interested in time, this paper focuses on the personalized recommendation algorithm. Especially for the improvement of the traditional collaborative filtering algorithm, the improved algorithm design scheme is put forward. According to the improved algorithm, a new personalized recommendation engine is developed and successfully applied to the system. The test results show that each function module of the digital campus service system developed in this paper runs stably and meets the expected requirements. In order to improve the level of campus teaching service and students' learning efficiency, enrich the students' cultural life. Enhanced information exchange provides an efficient and fast digital information platform.
【学位授予单位】：华中师范大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TP311.52;TP393.09
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