Development and implementation of an automated monitoring system for improved bioethanol production

This study presents results from the implementation and testing of an automated monitoring system for a bioethanol production process using MLP-based soft-sensors (MLP-SS). The system is based on an array of primary sensor, a communication module and a monitoring and data acquisition subsystem. This integrated framework provides a real-time monitoring solution, which is one of the most important aspects of the decision making in the strategies of optimization and control of bioprocesses.