Compressor rotation stall diagnosis processing method and device

The invention provides a gas compressor rotation stall diagnosis processing method and device, and relates to the technical field of artificial intelligence. The method comprises the following steps: acquiring real-time vibration data of each bearing bush of the gas compressor; based on a preset rotating stall diagnosis model, diagnosing the real-time vibration data to obtain a diagnosis result; wherein the preset rotating stall diagnosis model is obtained by training a convolutional neural network according to historical vibration data of each bearing bush of the gas compressor; if it is determined that the diagnosis result is that rotating stall occurs, the opening degree of an air inlet guide piece is increased to control the inlet direction of airflow till the rotating stall phenomenon is eliminated. The device executes the method. According to the compressor rotation stall diagnosis processing method and device provided by the embodiment of the invention, compressor rotation stall diagnosis processing ca