Calibration method of vacuum freeze dryer

The invention discloses a calibration method of a vacuum freeze dryer, which relates to the technical field of calibration of vacuum freeze dryers, and comprises the following steps: constructing a high-precision sensor network and an IoT (Internet of Things) architecture; a deep learning model is constructed, the material state in the drying process is predicted, and technological parameters are automatically adjusted according to the prediction result; a high-precision digital twin model is constructed, and a vacuum freeze drying process is simulated; and constructing a model capable of predicting faults of the vacuum pump, the refrigeration system and the heating system, and managing the whole life cycle of implementation equipment. According to the method, real-time monitoring, fault prediction and health management of the vacuum freeze dryer can be realized, so that the reliability of equipment is improved, the product quality is guaranteed, the service life of the equipment is prolonged, the maintenance