Hacia la esterilización inteligente: desarrollo de una sombra digital para la industria conservera

Résumé fourni par la source

Sterilization of packaged foods is a critical operation in the canning industry, as product quality and food safety depend on it. Mathematical modeling and optimization have already been applied to these systems to improve their performance. However, existing approaches address the problem in isolation, focusing on transfer phenomena, microbial inactivation kinetics, or offline optimization of temperature profiles. This work proposes a digital shadowing solution for the sterilization of canned fish in steam autoclaves. The solution integrates a real-time, updated predictive model, based on the physical laws of water-steam equilibrium thermal processes, capable of describing and predicting the main dynamic phenomena during operation. An efficient computational implementation allows for real-time simulation of the model. It also incorporates a disturbance estimator based on online dynamic optimization, which keeps the model synchronized with the process.