The low-carbon transition and upgrade of food processing stages are pivotal to achieving the strategic 'dual-carbon' targets in the food industry. Focusing on real scenarios within the processing chain， it is critical to investigate the energy absorption and structural response of food components under the influence of multiple physical fields. This study involved in exploring the mechanisms of interaction between various components in complex food systems. By constructing multiphysics coupling models and integrating artificial intelligence-driven decision-making techniques， the spatiotemporal accumulation patterns of thermal， mechanical， acoustic， electromagnetic， and pressure fields could be elucidated. These approaches laid the foundation for suggestions to intensify processing methods and strategies for unit substitution， thereby providing a theoretical framework to enhance the reliability of equipment， precision in processing， and the intelligent control of technological workflows.