An Internet-of-Things-based
management system and method for transmission of airship data. In the method, a
state prediction module performs comprehensive calculation on multi-
source data on the basis of the positive and
negative correlation of the multi-
source data, and then generates an airship index, and predicts the flight state of an airship by means of a comparison result between the airship index and an anomaly threshold value; when it is predicted that the flight state of the airship is poor, a
remote control platform automatically takes over a flight control module, and an airship
base station operator controls the use of the flight control module by means of the
remote control platform; when it is predicted that the flight state of the airship is poor, the
remote control platform first searches for the nearest airship
base station to the airship; and if the airship
base station meets an airship landing condition, the airship base
station operator can control the airship to land at the nearest base
station. When an airship flies, multi-
source data is effectively analyzed to predict the flight state of the airship, so that the airship can be controlled and managed in a timely manner before the airship is abnormal, thereby ensuring the safe use of the airship.