基于面向服务架构的港口智慧气象服务系统
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中国气象局预报预测核心业务发展专项(CMAHX20160209); 环渤海区域科技协同创新基金(QYXM201710); 青岛市气象局青年专项(2021qdqxq09)


Intelligent Meteorological Service System for Port Based on SOA
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    摘要:

    随着海洋气象业务不断发展, 海洋气象服务也逐渐向专业化、可视化及智慧化方向发展, 综合性海洋气 象服务已不能满足港口气象服务实际业务需求. 为保障港口安全生产, 提升港口气象服务效能, 本文提出了一 种基于面向服务架构(service-oriented architecture, SOA)的港口智慧气象服务系统建设方案. 通过对气象、港口、地理信息 等多源异构业务数据进行动态集成, 结合 XML (extensive markup language)、Web service 、数据仓库、中间件模 式、WebGIS 、消息队列等计算机相关技术, 实现了港区气象业务数据实时监测, 港口专业预报预警, 应急预案 制作发布、专业用户及气象要素阈值管理等功能. 系统业务应用结果表明, 该系统满足港口专业气象服务需求, 有效减少了海洋气象灾害对港区生产活动的不利影响, 同时系统可扩展性强, 具有较高应用推广价值.

    Abstract:

    Amid the further development of the marine meteorological business, marine meteorological services are gradually developing towards specialization, visualization, and intelligence. As a result, comprehensive marine meteorological services can no longer meet the actual business needs of meteorological services to ports. To ensure the safety of port production and improve the efficiency of meteorological services to ports, this study proposes a construction scheme for an intelligent meteorological service system for ports based on the service-oriented architecture (SOA). Multi-source heterogeneous business data, such as meteorological, port, and geographic information, are dynamically integrated, and extensive markup language (XML), Web service, data warehouse, middleware mode, WebGIS, message queue, and other computer-related technologies are employed. Various functions are thereby fulfilled, including real-time monitoring of meteorological business data of a port area, professional forecast and early warning for ports, preparation and release of emergency plans, and threshold management of professional users and meteorological elements. The business application results of the proposed system show that the system deserves application and promotion as it meets the demand of professional meteorological services to ports, effectively reduces the adverse impact of marine meteorological disasters on the production activities in the port area, and is highly scalable.

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谢丰,任兆鹏,刘延瑞,杨凡,毕玮,杨蕾.基于面向服务架构的港口智慧气象服务系统.计算机系统应用,2023,32(1):99-108

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  • 收稿日期:2022-04-28
  • 最后修改日期:2022-06-01
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  • 在线发布日期: 2022-08-24
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