Development of an intelligent control system based on neural networks applied to the dairy pasteurization process

Abstract

The pasteurization process requires the incorporation of technology in its pasteurization methods to improve its production. The objective of this system is to implement a pasteurization process of a milk plant, for this purpose the Matlab 2014 tool was used for the central control of the system considering the necessary conditions of the process. The pasteurizer control has a sensor and its actuators whose function is constant throughout the process which send signals through a data acquisition card and interpreted in Matlab 2014 and with the implementation of a human machine interface (HMI) through the Guide application. The pasteurization process initially uses raw milk at room temperature of 18°C according to NORMA NTE INEN 9:2012 (INEN, 2021), will be poured into the kettle to avoid waste, then begins the pasteurization process from the HMI of Matlab 2014 where the operator will choose the parameters necessary for its operation. For the pasteurization process, the slow and open pasteurization method (VAT) is considered, which consists of heating large volumes of milk in 3 stages: heating, pasteurization, and cooling to finish the process.