面向智慧城市的数据融合与数据库应用
摘 要
随着智慧城市建设的不断推进，城市数据量呈爆炸式增长，如何有效融合多源异构数据并构建高效数据库应用成为关键问题。本研究旨在探索面向智慧城市的数据融合与数据库应用方案，以提升城市管理效率和服务水平。通过分析现有数据融合技术及数据库架构，提出基于分布式计算框架和语义网技术的数据融合方法，实现对来自不同部门、不同格式数据的有效整合。同时，设计了支持实时处理和历史数据分析的一体化数据库系统，采用图数据库与关系型数据库相结合的方式存储复杂关联数据。实验结果表明，该方案能够显著提高数据查询响应速度，降低数据冗余度，增强数据一致性。
关键词：智慧城市数据融合 分布式计算框架 语义网技术
Abstract
With the continuous advancement of the construction of smart city, the amount of urban data has been in an explosive growth. How to effectively integrate multi-source heterogeneous data and build efficient database application has become a key issue. This study aims to explore the data fusion and database application scheme for smart cities to improve the efficiency of urban management and service level. By analyzing the existing data fusion technology and database architecture, the data fusion method based on distributed computing fr amework and semantic network technology is proposed to realize the effective integration of data from different departments and different formats. At the same time, an integrated database system supporting real-time processing and historical data analysis is designed, and the complex correlation data is stored by combining graph database and relational database. Experimental results show that the proposed scheme can significantly improve the data query response speed, reduce data redundancy and enhance data consistency.
Keyword:Smart City Data Fusion Distributed Computing fr amework Semantic Web Technology
目 录
1绪论 1
1.1研究背景与意义 1
1.2国内外研究现状 1
1.3研究方法与技术路线 1
2智慧城市数据融合基础 2
2.1数据融合的概念与内涵 2
2.2数据融合的关键技术 3
2.3数据融合的挑战与应对 3
3数据库在智慧城市中的应用 4
3.1数据库架构设计 4
3.2数据存储与管理 4
3.3数据安全与隐私保护 5
4数据融合与数据库的集成应用 6
4.1集成应用框架构建 6
4.2应用场景分析 6
4.3实施效果评估 7
结论 7
参考文献 9
致谢 10
摘 要
随着智慧城市建设的不断推进，城市数据量呈爆炸式增长，如何有效融合多源异构数据并构建高效数据库应用成为关键问题。本研究旨在探索面向智慧城市的数据融合与数据库应用方案，以提升城市管理效率和服务水平。通过分析现有数据融合技术及数据库架构，提出基于分布式计算框架和语义网技术的数据融合方法，实现对来自不同部门、不同格式数据的有效整合。同时，设计了支持实时处理和历史数据分析的一体化数据库系统，采用图数据库与关系型数据库相结合的方式存储复杂关联数据。实验结果表明，该方案能够显著提高数据查询响应速度，降低数据冗余度，增强数据一致性。
关键词：智慧城市数据融合 分布式计算框架 语义网技术
Abstract
With the continuous advancement of the construction of smart city, the amount of urban data has been in an explosive growth. How to effectively integrate multi-source heterogeneous data and build efficient database application has become a key issue. This study aims to explore the data fusion and database application scheme for smart cities to improve the efficiency of urban management and service level. By analyzing the existing data fusion technology and database architecture, the data fusion method based on distributed computing fr amework and semantic network technology is proposed to realize the effective integration of data from different departments and different formats. At the same time, an integrated database system supporting real-time processing and historical data analysis is designed, and the complex correlation data is stored by combining graph database and relational database. Experimental results show that the proposed scheme can significantly improve the data query response speed, reduce data redundancy and enhance data consistency.
Keyword:Smart City Data Fusion Distributed Computing fr amework Semantic Web Technology
目 录
1绪论 1
1.1研究背景与意义 1
1.2国内外研究现状 1
1.3研究方法与技术路线 1
2智慧城市数据融合基础 2
2.1数据融合的概念与内涵 2
2.2数据融合的关键技术 3
2.3数据融合的挑战与应对 3
3数据库在智慧城市中的应用 4
3.1数据库架构设计 4
3.2数据存储与管理 4
3.3数据安全与隐私保护 5
4数据融合与数据库的集成应用 6
4.1集成应用框架构建 6
4.2应用场景分析 6
4.3实施效果评估 7
结论 7
参考文献 9
致谢 10
