The invention belongs to the technical field of equipment control, and discloses an intelligent electro-
hydraulic mining equipment control method and
system, and the method comprises the steps: obtaining and screening historical ore body mining data, and constructing a
learning data set; training an equipment parameter optimization model by using the
data set, wherein the model can predict an
optimal control parameter sequence according to ore body characteristics and
equipment state data; in the actual mining process, ore body characteristics and
equipment state data are collected in real time and input into the optimization model to obtain a control parameter sequence; and the rotating speed of the
hydraulic pump, the main loop pressure set value and the opening degree of the unloading valve serve as a
target control sequence, and the electro-
hydraulic mining equipment is controlled to work. According to the method, through a data-driven
intelligent control strategy, dynamic optimization of
control parameters is achieved, equipment can adjust key parameters in time according to ore body characteristic changes and state fluctuations, the mining efficiency and the equipment adaptability are remarkably improved, the service life of the equipment is prolonged, and the maintenance cost is reduced.