Real-time temperature prediction method of refined-smelting ladle furnace refining process

The invention relates to a real-time temperature prediction method of a refined-smelting ladle furnace refining process, belonging to the technical field of metallurgy. The method comprises the following steps: (1) quantifying real-time data in the production field before refinement, wherein the real-time data comprises arc efficiency, smoke gas discharge rate, smoke gas discharge temperature and molten pool surface heat loss coefficient; (2) quantifying the finish temperature data of the previous step, wherein the temperature data comprises weight of the molten steel, environment temperature, and finish molten steel temperature of the previous step; (3) recording real-time measurement temperature data of the step, wherein the real-time measurement temperature data comprises heat capacity of the molten steel and weight of the molten steel; and (4) calculating temperature change rate DeltaTsteel of the molten steel. The invention reduces the cost for temperature estimation and measurement time of the LF (ladle