According to professor Zhang Gui, also director of the Teaching Center of National Forest Fire Prevention Virtual Simulation Laboratory, the platform combines the remote sensing data from polar orbit meteorological satellite and that from stationary meteorological satellite and adopts the geographical spatial modeling, data mining and artificial intelligence technology, so as to realize the all-weather, whole-airspace and large-scale monitoring and real-time risk warning for forest fires. Accurate and staff-free, it has made the automatic monitoring, processing and alarming of forest fires possible.