The invention provides a compressor
intelligent control method and
system based on
dynamic pressure relief and a storage medium, and the method comprises the steps: firstly, capturing the multi-
physical field coupling characteristics of a compressor in a shutdown state in real time by deploying a pressure, temperature, vibration and current four-dimensional sensing network; secondly, based on a preset pressure
entropy model, fusing the pressure fluctuation intensity, the temperature anomaly index, the high-frequency vibration factor and the current
attenuation coefficient to quantitatively evaluate a pressure entropy value, and triggering a three-stage pressure relief mode based on the pressure entropy value; then, based on the deviation between the
cavity pressure and the target pressure, pressure relief parameters are dynamically adjusted, and stable pressure transition is achieved; and finally, collecting full-
link data of pressure relief operation, and dynamically optimizing pressure
entropy model parameters based on
reinforcement learning, so that the
system continuously adapts to equipment aging and working condition changes. Through dynamic closed-loop adjustment, pressure relief
energy consumption waste and equipment loss are reduced, and the stability of the pressure relief process is improved.