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This invention relates to the field of temperature control technology in refractory duct processing, and discloses an intelligent temperature control method and system for refractory duct processing. The method includes the acquisition and analysis of real-time temperature data and external environmental fluctuation data to achieve precise temperature control. The system analyzes temperature trends based on an initial temperature distribution map combined with a fuzzy rule base, identifies overheated areas, and adjusts the heating power. Power allocation is optimized through a multi-physics coupling model and historical processing data to generate a temperature equilibrium model. Further, by combining a temperature prediction model and feedback data, the power allocation is iteratively corrected to ensure a stable heating process and eliminate residual temperature differences, ultimately outputting a balanced heat distribution, improving material performance consistency and processing quality. This method can adjust power in real time to cope with dynamic changes in the external environment and material properties, thereby improving processing quality.