Performance Analysis and Evaluation of Vegetable Cold-Chain Drying Equipment

This study proposes a systematic performance analysis and evaluation framework for vegetable cold-chain drying equipment, aiming to enhance its energy efficiency, automation level, and standardization. First, common drying technologies are compared to assess their effects on energy consumption, drying efficiency, and product quality. Subsequently, key energy consumption metrics are established for this equipment. Furthermore, a comprehensive performance evaluation index system is developed using a fusion approach based on machine learning techniques that combine Boosting algorithms with multiple kernel functions.