Method of measuring physical properties

A method of measuring physical properties, comprising:

• providing a vessel and recording a vessel shape information of the vessel;
• training a deep learning model by a processor, comprising:
• measuring a weight accumulation data of a weight of a fluid flowing from the vessel to a loader during a time period by a scale;
• generating a mass flow rate data of the fluid based on the weight accumulation data;
• converting the weight accumulation data into a first length criterion occupied by the fluid in the vessel through a predicted property parameter set and the vessel shape information;
• simulating a flow of the fluid based on the predicted property parameter set and the vessel shape information to obtain a second length criterion occupied by the fluid in the vessel;
• calculating a difference function based on a difference between the first length criterion and the second length criterion;
• adjusting the predicted property parameter set to minimize the difference function, wherein the predicted property parameter set is selected as a physical property parameter set of the fluid when the difference function is minimized;
• and
• training the deep learning model through a training data set, wherein an input feature vector of the training data set comprises the mass flow rate data and an output feature vector of the training data set comprises the physical property parameter set;
• containing a measured metal in the vessel, wherein the vessel is opaque and accommodated in a furnace;
• heating the measured metal to a determined temperature by the furnace, so that the measured metal is melted into a molten metal fluid as a measured fluid;
• receiving the measured fluid flowing out from an opening of the vessel by the loader;
• measuring a measured weight accumulation data of a weight of the loader receiving the measured fluid relative to a plurality of time points by the scale;
• obtaining a measured mass flow rate data of the measured fluid based on the measured weight accumulation data;
• and
• inputting the measured mass flow rate data to the deep learning model to obtain a measured physical property parameter set of the measured fluid.