计算机与现代化 ›› 2024, Vol. 0 ›› Issue (07): 41-46.doi: 10.3969/j.issn.1006-2475.2024.07.007

• 人工智能 • 上一篇    下一篇

基于分布式的省级气象数据中心硬件监控告警系统






  

  1. (1.甘肃省气象信息与技术装备保障中心,甘肃 兰州 730020; 2.广西壮族自治区气象信息中心,广西 南宁 530022)
  • 出版日期:2024-07-25 发布日期:2024-08-08
  • 基金资助:
    2023年甘肃省气象局气象科学技术研究项目(Ms2023-06)

Hardware Monitoring and Warning System of Provincial Meteorological Data Center Based on Distributed

  1. (1. Gansu Meteorological Information and Equipment Technical Support Center, Lanzhou 730020, China;
    2. Guangxi Meteorological Information Center, Nanning 530022, China)
  • Online:2024-07-25 Published:2024-08-08

摘要: 随着气象行业的快速发展,各级气象部门对信息化建设支持的力度不断增加,而气象业务的开展需要依赖各类信息系统和基础设施。目前省级气象数据中心承载了多种气象业务,业务种类繁多,存在多种异构设备,缺乏有效的集中硬件监控告警系统,给业务运维人员带来了极大的困难。针对此问题,本文分析多源复杂的气象数据环境中异构设备的差异及监控现状,设计“全流程”“集中化”“可视化”的综合硬件监控系统,采用Mycat+MySQL+Haproxy+Keepalived的技术架构,构建一个高可用、高性能和可扩展的分布式数据库集群,实现对硬件监控数据的采集、加工处理、存储、自定义告警和可视化展示。目前,该系统已在甘肃省气象数据中心进行了业务使用,运行稳定,安全可靠,能够帮助运维人员及时定位系统故障,从而提高了硬件设备监控运维的效率,能够为社会用户提供高效的气象数据服务。

关键词: 分布式, 硬件, 监控, 气象数据, 可视化

Abstract: With the rapid development of the meteorological industry, the support of various meteorological departments for information technology is increasing. The development of meteorological business needs to rely on various information systems and infrastructure. At present, the provincial meteorological data center carries a variety of meteorological services. However, due to the wide variety of services, the existence of a variety of heterogeneous devices, and the lack of an effective centralized hardware monitoring and warning platform, it has brought great difficulties to the system operation and maintenance personnel. Aiming at these problems, this paper analyzes the differences and monitoring status of heterogeneous devices in multi-source complex meteorological data environment, and designs a comprehensive hardware monitoring platform with “whole process”, “centralization” and “visualization”. The technical architecture of Mycat+MySQL+Haproxy+Keepalived is adopted to build a highly available, high-performance and scalable distributed database cluster architecture, which realizes the collection, processing, storage, user-defined warning and display of hardware monitoring data. At present, the system has been used in Gansu Meteorological Data Center, which is stable operation, safe and reliable, and can help the operation and maintenance personnel to locate the system fault in time, thus improving the efficiency of monitoring and operation and maintenance and providing efficient meteorological data services for social users.

Key words: distribution, hardware, monitoring, meteorological data, visualization

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