张宇, 吴文周, 王琦, 苏奋振, 宋德瑞. 面向服务架构的南海地理信息决策模拟系统功能设计与实现[J]. 海洋环境科学, 2018, 37(1): 137-142. DOI: 10.13634/j.cnki.mes20180121
引用本文: 张宇, 吴文周, 王琦, 苏奋振, 宋德瑞. 面向服务架构的南海地理信息决策模拟系统功能设计与实现[J]. 海洋环境科学, 2018, 37(1): 137-142. DOI: 10.13634/j.cnki.mes20180121
ZHANG Yu, WU Wen-zhou, WANG Qi, SU Fen-zhen, SONG De-rui. Functions design and implementation of South China Sea geographical information decision making simulation system based on service-oriented architecture[J]. Chinese Journal of MARINE ENVIRONMENTAL SCIENCE, 2018, 37(1): 137-142. DOI: 10.13634/j.cnki.mes20180121
Citation: ZHANG Yu, WU Wen-zhou, WANG Qi, SU Fen-zhen, SONG De-rui. Functions design and implementation of South China Sea geographical information decision making simulation system based on service-oriented architecture[J]. Chinese Journal of MARINE ENVIRONMENTAL SCIENCE, 2018, 37(1): 137-142. DOI: 10.13634/j.cnki.mes20180121

面向服务架构的南海地理信息决策模拟系统功能设计与实现

Functions design and implementation of South China Sea geographical information decision making simulation system based on service-oriented architecture

  • 摘要: 南海具有丰富的自然资源与重要的战略地位,实现多源海洋环境数据的集成与共享,从而为南海情势分析与决策模拟提供支持是当前急需开展的工作。本文在分析国内外海洋地理信息系统(MGIS)的研究成果及相关技术的基础上,设计实现了面向服务架构(SOA)的南海地理信息决策模拟系统。该系统不仅集成了从传统观测网获取的南海地区卫星影像、水文气象、自然资源等结构化数据,同时集成了从互联网中检索到的文字、图片等非结构化数据,实现了围绕南海地区的信息查询、可视化表达、分析评价等功能,并以服务方式实现了数据与功能的集成与互操作,为南海海域的科学管理、分析和决策提供强有力的工具。

     

    Abstract: The South China Sea has long been regarded as an important strategic position linking the Pacific Ocean and Indian Ocean, and a resources-abundant region with oil and natural gas deposits. Integrating and sharing of multi-source marine environmental data are needed to support status analysis and decision making in the South China Sea. Through analyzing the related theories and technologies of marine geographical information systems (MGIS) at home and abroad, this paper designs and implements a prototype system based on the service-oriented architecture (SOA), and is called South China Sea Geographical Information Decision Making Simulation System. The system integrates both of the structured data around the South China Sea from traditional earth observation systems, such as remote sensing, hydro-meteorological, and natural resource data, and the unstructured data from the Internet, such as texts, pictures, and videos. Then, functions, such as information query, visualization, and analysis, are implemented. Integrations and inter-operations of the data and functions are mainly achieved by being published as a service. Finally, the system provides an effective way for the scientific management, analysis and decision making in the South China Sea.

     

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