Automatic equipment state fault detection method and system

The invention belongs to the field of automation equipment fault detection, and particularly relates to an automation equipment state fault detection method and system, and the method comprises the steps: constructing an equipment signal detection platform, transmitting an equipment fault signal by automation equipment, determining whether the equipment fault signal is mistakenly transmitted, and if yes, continuously monitoring the equipment, otherwise, performing fault detection on the equipment; the process of carrying out fault detection on the equipment comprises the following steps: collecting data information when the automatic equipment works, and inputting the data information into a trained equipment fault detection model to obtain a detection result; wherein the equipment fault detection model adopts a multilayer neural network model; the multi-layer neural network model is composed of an input layer, a plurality of hidden layers and an output layer; according to the method, the neural network is ad