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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.