Aiming at the problems of sensor accuracy, LAN and WAN communication, system scheduling, cost expenditure and so on, a mountain forest edge early warning and control system based on AIOT is proposed. The system uses multi node sensors to collect mountain and forest environment information, and adopts curve fitting method to ensure the accuracy of collected data. Based on 4G/NB-IOT/WIFI and other communication modules, it uses MQTT protocol and COAP protocol to upload the collected data to the cloud platform. The platform receives and stores the collected data to ensure the security and stability of the data. Through the middleware transition of the Internet of things, it realizes the effective real-time monitoring and visual processing of mountain and forest areas. Throughout testing, this system has relatively low cost, good working stability, wide application and good application value.