Multi-unmanned-aerial-vehicle cooperative operation method and system based on Internet of Things

The invention relates to the field of unmanned aerial vehicle detection, in particular to a multi-unmanned aerial vehicle cooperative operation method and system based on the Internet of Things. The method comprises the following steps: acquiring a flight state data set of the unmanned aerial vehicle; calculating the stability of the unmanned aerial vehicle; clustering the position information of the unmanned aerial vehicles by using a preset clustering algorithm, and calculating the aggregation degree of the unmanned aerial vehicles; constructing a loss function of a neural network model according to the stability and the aggregation degree, training the neural network model, and obtaining an optimal neural network model according to an evaluation index of the neural network model; and inputting a to-be-tested unmanned aerial vehicle flight state data set into the optimal neural network model, and sending a maintenance signal in response to the situation that the output unmanned aerial vehicle safety probabi