The invention provides a mining
wireless gateway adaptive network adjustment method and
system based on
deep learning, and relates to the technical field of industrial gateways, and the method comprises the steps: carrying out the feature analysis through collecting the network state parameters of a mining
wireless gateway, and constructing a standardized
network data set; constructing a
hybrid deep learning branch, training by using the standardized
network data set, and generating a
network parameter prediction channel; according to the method, network state parameters are analyzed, circuit control is carried out in combination with an MOS tube switch array,
gain amplification is carried out on the mining
wireless gateway, and self-adaptive network adjustment is carried out on the mining
wireless gateway. The technical problem that the
network performance is further affected due to adjustment
lag and passive response caused by the fact that the
wireless gateway is easily interfered in a dynamic
extreme environment in the prior art is solved, intelligent optimization is carried out on the
network performance of the mining
wireless gateway based on
deep learning and network state feature analysis, and the
network performance of the mining wireless gateway is improved. And the stability and the efficiency of wireless communication of the industrial gateway are improved.