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There are many factors that affect the generation and evolution of extreme weather, making it difficult to early warning extreme weather. In order to make effective defense against extreme weather in a timely manner, a security early warning system for extreme weather observation data has been designed and developed using remote sensing satellite observation data. Design a remote sensing satellite observation data calibrator, observation data collector, processor, and security alarm, adjust the connection mode of communication modules, and optimize the hardware of the security warning system. The system database is established through the construction and connection of remote sensing satellite, rainstorm extreme weather and other database tables. With the support of system hardware and database, remote sensing satellite observation data is used to obtain meteorological observation data. By extracting the characteristics of meteorological observation data, extreme meteorological parameters are estimated, compared with the set safety threshold, and the extreme meteorological intensity and urgency coefficient are integrated to achieve the safety warning function of the system. The experimental results show that the average warning time deviation of the designed system is 0.18 hours, the average false alarm rate and false alarm rate are 2.8% and 2.7%, respectively, and the average response delay is 20 ms.