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Design a real-time automatic monitoring system for meteorological information based on narrowband Internet of Things (NB IoT) communication technology, improve the real-time, accuracy, and coverage of meteorological monitoring, promote the development of smart meteorology, and enhance disaster response capabilities. Build a real-time automatic monitoring system framework for meteorological information based on NB IoT. The data collection nodes of the data perception layer use different types of sensors to obtain meteorological monitoring information. After the main controller completes information format conversion and other processing, meteorological monitoring information is packaged according to predefined communication protocols and uploaded to the NB IoT module. After that, the meteorological monitoring information is connected to the NB IoT network of the data transmission layer through wireless access, and transmitted to the data application layer. The meteorological prediction module calls the ordered weighted average operator to process the received meteorological monitoring information. The fused data is used as input for the online sequence extreme learning machine meteorological prediction model under the Storm flow framework, and the meteorological prediction results are output. The meteorological monitoring results are presented through the interface layer. The experimental results show that the meteorological monitoring information collection curve has a high degree of fit with the actual curve; The RMSE and MAE indicators for meteorological forecasting are the lowest, with values of 0.065 and 0.106, respectively; Can achieve abnormal meteorological monitoring information warning; Low total power consumption, wide coverage, and high stability in meteorological monitoring.