基于LBS和云平臺的校園服務系統(tǒng)設計與實現(xiàn)
發(fā)布時間：2018-11-18 21:28
【摘要】：移動互聯(lián)網(wǎng)的飛速發(fā)展,使得傳統(tǒng)的PC機上的業(yè)務逐漸的向智能移動終端方向延伸,越來越多的用戶需求在移動端上得以實現(xiàn)。傳統(tǒng)PC端上的校園信息服務系統(tǒng)功能單一,遠遠滿足不了學生的全方位需求,因此將數(shù)字化校園服務和學生的生活、學習、娛樂結合起來具備迫切的現(xiàn)實價值和意義。本論文針對校園信息服務和學生的現(xiàn)實需求,開發(fā)了一款基于LBS和云平臺的校園服務系統(tǒng)的應用軟件,為學生提供高效、便捷的數(shù)字化服務,以滿足學生在校期間各個方面的需求。該系統(tǒng)在實現(xiàn)的過程中,主要運用Eclipse平臺,采用了JAVA、XML、HTML、JSON等語言,并且使用了Bmob云服務器以及云數(shù)據(jù)庫、緩存功能,同時還采用了科大訊飛MSC人臉識別,聲紋識別方案、科大訊飛MSC語音交互處理、極光JpushSDK推送、一鍵分享ShareSDK、百度LBS開發(fā)平臺、Jsoup網(wǎng)頁抓取數(shù)據(jù)解析,Zxing二維碼掃描,支付寶第三方支付,JSON數(shù)據(jù)解析,NFC近場通信等技術,主要實現(xiàn)了人臉識別注冊和登錄、聲紋識別注冊和登錄、LBS位置采集與傳輸、校園數(shù)字圖書館、教務系統(tǒng)、掃描找書及分享閱讀心得、校園一卡通查詢、失物招領、校園2D地圖定位導航及3D街景地圖、快遞查詢、外賣訂餐、華大影訊網(wǎng)上購票、NFC近場通信刷卡簽到、校園資訊及資訊分享、兼職中心、語音交互搜索、個性化推薦引擎、基于LBS的位置聊天交友、校園互助平臺、消息推送等20項主要功能�；ヂ�(lián)網(wǎng)上信息的爆炸式增長,使得用戶獲取自己感興趣信息難度增加。為了方便不同用戶及時了解自己感興趣的信息,本論文對個性化推薦算法進行了重點研究。特別是對傳統(tǒng)協(xié)同過濾算法的改進,提出了改進后的算法設計方案。根據(jù)改進后的算法開發(fā)了新的個性化推薦引擎,并成功運用到本系統(tǒng)中。測試表明,本論文開發(fā)的數(shù)字化校園服務系統(tǒng)各個功能模塊運行穩(wěn)定,均達到了預期要求,為提高校園教學服務水平和學生的學習效率、豐富學生的文化生活、增強信息交流提供了一個高效快捷的數(shù)字化信息平臺。
[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.
【學位授予單位】：華中師范大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：TP311.52;TP393.09
本文編號：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.
【學位授予單位】：華中師范大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：TP311.52;TP393.09
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