Abstract: With the frequent occurrence of extreme meteorological events, the impact of meteorological factors on the safe operation of transmission lines has become increasingly prominent, and traditional meteorological early warning methods are difficult to meet the rapid response needs of power systems. To address this, an intelligent power meteorological early warning automatic release system based on the Internet of Things is proposed. A collaborative perception system for multi-source meteorology and line status is constructed, data processing and meteorological-power linkage early warning analysis are realized relying on the cloud platform, and multi-channel automatic release is completed through a hierarchical strategy. Test and analysis were carried out on a 110 kV transmission line in a mountainous area. The results show that the system has good monitoring stability and early warning timeliness, and can provide effective support for power grid disaster prevention and mitigation as well as refined operation and maintenance.