Unmanned aerial vehicle cluster multi-task dynamic allocation method and system

The invention relates to an unmanned aerial vehicle cluster multi-task dynamic allocation method and system, and the method employs a two-layer alliance design method, firstly carries out task initial allocation by taking a ground station as a decision main body, then carries out task reallocation by taking an unmanned aerial vehicle as a decision main body, obtains and executes a ground station task allocation result, and carries out task reallocation by taking the unmanned aerial vehicle as a decision main body. When it is found that the task changes or the alliance where the unmanned aerial vehicle is located changes, whether the current task can bring the maximum income or not is judged, if the current task cannot bring the maximum income, the alliance corresponding to the maximum income is searched and added, and meanwhile, the number of updating times is increased every time the task is converted; and the accuracy of the corresponding local information is judged in combination with the updating frequenc