基于Hadoop技术的气象数据实时传输监控系统设计

Design of real-time meteorological data transmission and monitoring system based on Hadoop technology

摘要:

气象数据在传输过程中,可能会出现数据丢失、重复、错误等问题,为准确分析气象问题表现情况,实现对气象问题的实时监控,设计了基于Hadoop技术的气象数据实时传输监控系统。联合JTAG调试电路与数据采集器,调节风速风向、雨雪、雷电、温湿度四个基础监控模块,完成气象数据实时传输监控系统的硬件设计。根据Hadoop架构体系连接形式,搭建Hadoop架构体系,预处理气象数据。在此基础上,匹配数据库机制与业务信息表单,实现应用系统的实时传输监控功能,再联合相关系统硬件,完成基于Hadoop技术的气象数据实时传输监控系统的设计。实验结果表明,在本文设计系统作用下,能够有效实现对风、雨、雪、雷四种气象问题的实时监测,可以准确分析气象问题表现情况。

Abstract:

During the transmission of meteorological data, there may be issues such as data loss, duplication, and errors. In order to accurately analyze the performance of meteorological problems and achieve real-time monitoring of meteorological problems, a real-time transmission and monitoring system for meteorological data based on Hadoop technology has been designed. Collaborate with JTAG to debug the circuit and data collector, adjust the four basic monitoring modules of wind speed and direction, rain and snow, lightning, and temperature and humidity, and complete the hardware design of the real-time transmission and monitoring system for meteorological data. According to the connection form of Hadoop architecture system, build a Hadoop architecture system and preprocess meteorological data. On this basis, match the database mechanism with business information forms to achieve real-time transmission and monitoring functions of the application system. Then, in conjunction with relevant system hardware, complete the design of a meteorological data real-time transmission and monitoring system based on Hadoop technology. The experimental results indicate that the system designed in this article can effectively achieve real-time monitoring of four meteorological problems: wind, rain, snow, and thunder, and can accurately analyze the performance of meteorological problems.