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交通气象自定义地图服务聚合技术
引用本文:焦圣明,郭静,朱毓颖,袁成松,包云轩.交通气象自定义地图服务聚合技术[J].气象科技,2014,42(5):928-933.
作者姓名:焦圣明  郭静  朱毓颖  袁成松  包云轩
作者单位:1. 江苏省气象科学研究所,南京,210009
2. 江苏省连云港劳动与社会保障局,连云港222003;南京理工大学研究生院,南京210094
3. 南京信息工程大学应用气象学院,南京,210044
基金项目:公益性(气象)行业专项(GYHY201406029,GYHY201306043)资助
摘    要:利用华东各省交通气象信息数据,对共享产品的内容和格式进行了定义和约束,并基于GeoServer和Tomcat平台,运用Java Servlet构建了交通气象专用的地图服务,使得用户可以根据需求自由组合由系统提供的地图资源,从而满足用户需求的地图服务聚合应用。通过对交通气象产品拼图算法、核心GIS处理、XML解析等功能模块的研究与实现,最终完成了基于GIS的交通气象信息共享业务系统。该系统满足了交通气象的业务需求,为交通气象监测、分析、预报服务产品共享提供了技术支持。

关 键 词:交通气象  地图服务  聚合技术  Web  Service  数据共享
收稿时间:9/5/2013 12:00:00 AM
修稿时间:2014/1/15 0:00:00

Polymerization Technique for User Defined Transportation Meteorological Map Service
Jiao Shengming,Guo Jing,Zhu Yuying,Yuan Chengsong and Bao Yunxuan.Polymerization Technique for User Defined Transportation Meteorological Map Service[J].Meteorological Science and Technology,2014,42(5):928-933.
Authors:Jiao Shengming  Guo Jing  Zhu Yuying  Yuan Chengsong and Bao Yunxuan
Institution:Jiao Shengming Guo Jing Zhu Yuying Yuan Chengsong Bao Yunxuan (1 Nanjing University of Information Science i Technology, Nanjing 210009; 2 Lianyungang Human Resources and Social Security Bureau, Jiangsu, Lianyungang 222003 ; 3 Nanjing University of Science Technology, Nanjing 210094 ; 4 College of Applied Meteorology, Nanjing University of Information Science g Technology, Nanjing 210044;)
Abstract:The content and format of the sharing products are defined by means of the transportation meteorological information datasets. The Java Servlet technique is used to build a map service based on the GeoServer and the Tomcat platform specifically, which allows consumers to combine the map resources provided by the system freely to satisfy their needs for map service polymerization application. The GIS based system is finally accomplished through such functional modules as the jigsaw algorithm of traffic weather products, core GIS processing, XML parsing, etc., which can satisfy the requirements for transportation meteorological service and provide technical supports for the monitoring, analysis, and the sharing of forecasting products.
Keywords:traffic meteorology  map service  polymerization technique  Web service  data sharing
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