[1]李长顺,黄文霖,宗 晨,等.清新福建气象条件贡献率评价指标系统设计[J].计算机技术与发展,2021,31(12):211-216.[doi:10. 3969 / j. issn. 1673-629X. 2021. 12. 035]
　LI Chang-shun,HUANG Wen-lin,ZONG Chen,et al.Design of Evaluation Index System for Meteorological ContributionRate of Fresh Fujian[J].,2021,31(12):211-216.[doi:10. 3969 / j. issn. 1673-629X. 2021. 12. 035]
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清新福建气象条件贡献率评价指标系统设计()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
31
期数:
2021年12期
页码:
211-216
栏目:
应用前沿与综合
出版日期:
2021-12-10

文章信息/Info

Title:
Design of Evaluation Index System for Meteorological ContributionRate of Fresh Fujian
文章编号:
1673-629X(2021)12-0211-06
作者:
李长顺1; 2 ; 黄文霖3 ; 宗 晨1 ; 何中声4 ; 柯小青1
1. 福建省气象服务中心,福建 福州 350001;
2. 数字福建气象大数据研究所(闽南师范大学),福建 漳州 363000;
3. 福建省宁德市气象局,福建 宁德 352100;
4. 福建农林大学 林学院,福建 福州 350002
Author(s):
LI Chang-shun1; 2 ; HUANG Wen-lin3 ; ZONG Chen1 ; HE Zhong-sheng4 ; KE Xiao-qing1
1. Fujian Meteorological Service Center,Fuzhou 350001,China;
2. Institute of Meteorological Big Data-Digital Fujian ( Minnan Normal University) ,Zhangzhou 363000,China;
3. Meteorological Bureau of Ningde,Fujian Province,Ningde 352100,China;
4.?School of Forestry,School of?Fujian Agriculture and Forestry University,Fuzhou 350002,China
关键词:
评价指标系统; WebGIS; 清新指数; 旅游气象; 服务平台
Keywords:
evaluation index system; WebGIS; fresh index; tourism meteorology; service platform
分类号:
TP319
DOI:
10. 3969 / j. issn. 1673-629X. 2021. 12. 035
摘要:
为响应“清新福建” 生态文化旅游品牌建设的要求,设计开发了清新福建气象条件贡献率评价指标系统。 该系统基于 Web Service、JavaEE、Oracle 数据库、WebGIS 等技术开发,集成气象条件贡献率评价体系和“清新指数” 晴天、雨天预测模型等关键技术,实现“清新指数冶服务产品的标准化发布和自动业务化运行。 系统实现了负氧离子浓度监测、数据分析、数据可视化展示、“清新指数” 预报、系统管理等功能设计,具有功能多、数据类型多、数据量大的特点,同时具备较高的效率性和可扩展性,具备硬件设备运行情况监测及异常状态报警等重要功能。 自投入业务应用以来,系统运行稳定、可靠,“清新指数” 产品制作发布与品牌宣传效果良好,以科学量化的数据支撑“清新福建—全福游,有全福” 的品牌宣传,能够有效提升福建省旅游气象业务服务能力,以智慧气象助力生态文明和现代化旅游事业的发展。
Abstract:
In response to the requirements of "Fresh Fujian" brand building,the evaluation index system for the contribution rate of the fresh Fujian weather conditions is designed and developed. Based on Web Service, JavaEE, Oracle database, WebGIS and other technologies,the system integrates key technologies such as the meteorological condition contribution rate evaluation system and the "freshness index" sunny and rainy weather forecast models,and realizes the standardized release of " freshness index" service products and automatic business operation. The system has negative oxygen ion concentration monitoring,data analysis,data visualization display,"freshness index" forecast,system management and other functional design,with the characteristics of multiple functions,multiple datatypes,and large data volume. At the same time,the system has important functions such as hardware equipment operation monitoring and abnormal state alarms with high efficiency and scalability. Since it was put into application,the system has been operating stably and reliably. The production and release of " Freshness Index" products and brand promotion have been effective. The brand promotion of "Fresh Fujian-Quanfu Travel,Quanfu" is supported by scientific quantitative data. It can effectively improve the service capabilities of tourism meteorological services in Fujian Province,and use smart weather to help the development of ecological civilization and modern tourism.

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更新日期/Last Update: 2021-12-10