Air compression system control method based on task flow

The invention relates to a task flow-based air compression system control method, which comprises the following steps of: modeling an air consumption end task flow mode, and optimizing an air compression system control strategy by adopting an improved Harlisia hawk algorithm according to an air compression system task flow model; constructing an air compression system model; initializing a global variable of the improved Harris eagle algorithm; optimizing population initialization of the original Hallis eagle through reverse mapping; carrying out iterative optimization on the initialized Hallis eagle population; executing a partition elite strategy under variable isolation on individuals in the optimized population; and controlling the output pressure of an air storage tank of the air compression system and the starting and stopping time and the output pressure of each air compressor by using the optimization variable of the historical optimal individual. Compared with the prior art, the method has the advant