云计算在土地利用规划信息系统中的应用研究

发布时间：2018-03-11 06:37

本文选题：地理信息系统　切入点：云计算　出处：《浙江大学》2013年硕士论文　论文类型：学位论文

【摘要】：本研究以云计算的关键技术和理论为基础,针对目前我国国土资源行业土地利用规划管理工作的业务需求和现行土地利用规划信息系统存在的主要问题,研究土地利用规划数据在云计算环境下的高效管理技术,搭建土地利用规划云计算服务平台,探索并尝试解决将云计算应用于土地利用规划信息系统所遇到的实际问题,并进行了原型系统开发与试验。主要研究内容和成果如下首先,论文阐述了目前云计算的相关概念和目前土地利用规划管理工作中存在和面临的主要问题,研究了云计算技术的发展现状,分析了云计算的多种体系结构和关键技术,特别是Hadoop框架的相关理论和技术,体现了云计算在海量数据管理、大规模计算、用户透明、减少系统设备投入和维护等方面展现出的优势,论证了云计算技术应用于土地利用规划管理的可行性和应用前景。其次,通过对土地利用规划数据的内容和特点分析,结合Hadoop的HDFS(分布式文件系统),设计了土地利用规划数据云存储模式,讨论了云计算环境下的数据传输和数据安全问题。然后,结合土地利用规划管理工作的业务需求,搭建了土地利用规划云服务平台,设计了云服务平台框架和云服务模型,主要包括土地利用云服务的体系结构、分类体系、目录组织方式。最后,基于上述研究成果和现有系统,设计并实现了云计算支持下的土地利用规划管理原型系统,并进行了系统试验,包括传输速度试验和传输稳定性试验。
[Abstract]:Based on the theory and key technology of cloud computing as the foundation, in view of the main problems of our land resources industry land use planning and management of the business needs and the current land use planning information system at present, calculation of efficient management technology under the environment of cloud data of land use planning, land use planning to build cloud computing services platform to explore and try to solve the practical problems encountered in the application of cloud computing in the information system of land use planning, and prototype development and test are carried out. The main research contents and results are as follows
First, this paper expounds the related concepts of cloud computing and the current main problems of land use planning management work and the development of cloud computing technology, analyzes the various cloud computing architecture and key technologies, especially the related theory and technology of Hadoop framework, embodied in massive cloud computing data management, large-scale computing, users, reduce equipment investment and maintenance system to show the advantage, demonstrates the application of cloud computing technology on the feasibility and application prospect of land use planning and management.
Secondly, by analyzing the content and characteristics of land use planning data, combined with Hadoop's HDFS (distributed file system), we design the cloud storage mode of land use planning data, and discuss the data transmission and data security problems in cloud computing environment.
Then, combined with the business needs of land use planning management, we build the cloud service platform of land use planning, design the cloud service platform framework and cloud service model, mainly including the system structure, classification system and directory organization mode of land use cloud services.
Finally, based on the above research results and existing systems, we designed and implemented the prototype system of land use planning and management supported by cloud computing, and carried out system tests, including transmission speed test and transmission stability test.

【学位授予单位】：浙江大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：P208

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