智能网格天气预报监控平台设计研究-《计算机技术与发展》

文章信息/Info

Title:: Application Research of Intelligent Grid Weather ForecastBusiness Monitoring Platform

作者:: 何林1; 2 ; 任杰3 ; 吉庆4; 1. 陕西省气象信息中心,陕西西安 710014;
2. 秦岭和黄土高原生态环境气象重点实验室,陕西西安 710014;
3. 陕西师范大学计算机科学学院,陕西西安 710119;
4. 陕西省气象台,陕西西安 710014

Author(s):: HE Lin1; 2 ; REN Jie3 ; JI Qing4; 1. Shaanxi Meteorological Information Center,Xi’ an 710014,China;
2. Key Laboratory of Eco Environmental Meteorology in Qinling Mountains and Loess Plateau,Xi’an 710014,China;
3. School of Computer Science,Shaanxi Normal University,Xi’an 710119,China;
4.?Shaanxi Meteorological Observatory,Xi’an 710014,China

Keywords:: intelligent grid; monitoring indicators; log events; middleware; visualization

摘要:: 近年来,全国气象部门构建了面向“国-省” 的智能网格预报业务体系,将传统的站点天气预报转换为精细服务的格点天气预报。但由于业务流程繁杂,且缺少规范化的监控平台,为业务的运行维护带来很大困难。针对此问题,该文分析了当前气象部门各业务领域的监控系统研发现状,结合智能网格预报业务特点,提出将业务流程和数据流程解耦的策略。以数据流为中心,设计了对智能网格天气预报业务“ 全流程、一体化、可视化” 的监控平台。通过采用 Kafka 消息中间件和 Logstash、Cassandra、ElasticSearch、Redis 分布式缓存等核心技术,实现了对业务监视数据的建模、采集、处理、存储和展示。目前,智能网格天气预报监控平台已在陕西省气象部门投入使用,运行稳定、可靠性高,有效提高了运维人员的监控效率,保障了智能网格预报业务的顺利开展。

Abstract:: In recent years, the National Meteorological Department has constructed the national - provincial intelligent grid forecastsystem,which transforms the traditional weather forecast from station to grid weather forecast with fine service. However, due to the complex business process and lack of standardized monitoring platform,it is difficult for the operation and maintenance of the business. Inorder to solve this problem, we analyze the current situation of monitoring system development in various business areas of themeteorological department. Combined with the characteristics of the intelligent grid forecasting business,the idea of decoupling businessprocess and data process is proposed. Taking data flow as the center, the monitoring platform of? ? ? ? ? ?"whole process, integration and visualization" for intelligent grid weather forecasting business is designed. The platform has used Kafka message middleware,and coretechnologies such as Logstash, Cassandra, ElasticSearch, Redis distributed cache to realize the modeling,collection, processing, storageand display of business monitoring data. At present,the platform has been put into use in Shaanxi Meteorological Department with stableoperation and high reliability,which effectively improves the monitoring efficiency of operation and maintenance personnel and ensuresthe smooth development of intelligent grid forecasting business.