Fecha de publicación: 13/02/2024 Fuente: Wipo "BigData" The invention provides a forest fire monitoring method and system based on iron tower big data, and relates to the technical field of forest fire monitoring, and the method comprises the steps: obtaining the distribution coordinates of a temperature sensor, a smoke sensor and an image sensor, taking the distribution coordinates as a combined sensor, building the communication connection of the combined sensor, receiving real-time data, and transmitting the real-time data to a cloud server; the method comprises the following steps: carrying out anomaly identification to generate an anomaly identification result, carrying out anomaly positioning, carrying out image acquisition, carrying out fire authentication to generate a linkage authentication result, and carrying out sensitive compensation to generate forest fire early warning information. The forest fire monitoring method mainly solves the problems that a traditional forest fire monitoring method mainly adopts manual patrol and lookout, is low in efficiency and inaccurate in precision, is limited by weather and environmental conditions, and cannot perform real-time monitoring. According to the forest fire monitoring method based on the iron tower big data, the characteristics of wide distribution and wide coverage of the iron tower base stations are utilized, the forest fire is monitored through the iron tower base stations, real-time monitoring and early warning of the forest fire can be achieved, and the prediction accuracy is improved.