基于云平台的出行服务系统的设计与实现

发布时间：2018-05-07 17:53

本文选题：云平台 + 人工智能　；参考：《哈尔滨工业大学》2017年硕士论文

【摘要】：随着大数据时代的到来,基于地理位置的服务成为大众获取便捷、有效的信息的重要途径之一。本文基于云计算技术和人工智能技术,研究基于云平台的出行服务系统。在用户出行的时候,为其提供便捷化、个性化、智能化的服务。该服务以手机应用的形式呈现,通过自然的人机接口为用户提供便捷的使用方式;通过图片等内容的展示提供丰富的用户交互界面;通过云计算等技术有效地解决图片处理、语音识别等信息处理问题。从本系统相关的国内外研究情况出发,本文主要包括以下内容:首先,对出行服务系统的背景和意义、国内外现状、关键技术等进行了介绍和分析、对系统中的需求及架构进行了整体分析。其次,本文设计并实现了基于云平台的出行服务系统。系统采用客户端/云服务器的软件开发模式。在客户端实现终端应用,在云服务器端部署数据处理软件。在此基础上详细设计了功能模块,其中,客户端功能模块包括:用户信息管理、图片上传与标注、人机交互、朋友圈互动等。云服务器端功能模块包括互联网数据获取、图片推荐算法、数据存储等功能模块。其中,互联网数据获取实现在互联网上自动抓取图片,数据存储实现将本项目获取的数据进行存储。云服务集成实现现有的云服务与系统之间的集成。通过客户端和服务器端两个方面进行,用户通过智能终端之间的信息交互,使得用户可以获取信息并通过智能终端分享自己的信息;再加上智能终端与云端的信息交互,使得智能终端可以把数据保存到云端,并且可以使用云端提供的服务。最后,对基于云平台的出行服务系统进行测试,通过测试环境、相关联的数据等形式,完成了性能测试,测试结果验证了系统的有效性,同时表明基于云平台的出行服务系统对于用户的服务效率有了很大的提高。以上基于云平台的出行服务系统是本人在硕士实习期间于工业和信息化部软件与集成电路促进中心参与完成的项目。本系统的性能和有效性得到了充分验证,系统的完成得到了公司的认可。尤其是系统的开发与客户端和应用场景的结合,极大的方便和提高了客户出行服务能力。
[Abstract]:With the arrival of big data era, geographical-based service has become one of the important ways for the public to obtain convenient and effective information. Based on cloud computing technology and artificial intelligence technology, this paper studies the travel service system based on cloud platform. Provide convenient, personalized and intelligent services for users when they travel. The service is presented in the form of mobile phone applications, providing users with a convenient way to use through natural man-machine interfaces; providing rich user interface through the display of images and other content; effectively resolving image processing through cloud computing and other technologies. Speech recognition and other information processing problems. This paper mainly includes the following contents: firstly, the background and significance of the travel service system, the current situation at home and abroad, key technologies and so on are introduced and analyzed. The requirements and architecture of the system are analyzed as a whole. Secondly, this paper designs and implements a trip service system based on cloud platform. The system adopts the software development mode of client / cloud server. Terminal application is implemented in client and data processing software is deployed in cloud server. On this basis, the function module is designed in detail, among which, the client function module includes: user information management, picture upload and tagging, human-computer interaction, circle of friends interaction, and so on. Cloud server function module includes Internet data acquisition, image recommendation algorithm, data storage and other functional modules. Among them, the Internet data acquisition implementation automatically grabs pictures on the Internet, and the data storage implementation stores the data obtained by the project. Cloud service integration implements the integration of existing cloud services and systems. Through the client and server, the user can get information and share their information through the intelligent terminal through the information interaction between the intelligent terminal, plus the information interaction between the intelligent terminal and the cloud. Enables intelligent terminals to save data to the cloud and to use services provided by the cloud. Finally, the trip service system based on cloud platform is tested. Through the test environment, associated data and other forms, the performance test is completed. The test results verify the effectiveness of the system. At the same time, it shows that the travel service system based on cloud platform has greatly improved the service efficiency of users. The above trip service system based on cloud platform was completed by the Software and Integrated Circuit Promotion Center of the Ministry of Industry and Information during my master's internship. The performance and effectiveness of the system has been fully verified, the completion of the system has been recognized by the company. Especially, the combination of system development, client and application scene greatly facilitates and improves the ability of customer travel service.
【学位授予单位】：哈尔滨工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP393.09

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