Title :
Extractability control for the virgin olive oil elaboration process
Author :
Martinez Gila, D. ; Cano Marchal, P. ; Gamez Garcia, J. ; Gomez Ortega, J.
Author_Institution :
Group of Robot., Autom. & Comput. Vision, Univ. of Jaen., Jaén, Spain
Abstract :
The olive paste preparation is one of the most important task within the olive oil elaboration process. It greatly determines the quality of the obtained oil, and imposes an upper bound on the achievable extraction yield. Currently, the master miller is the person in the plant who adjusts the productive process parameters. The decisions are based on his knowledge and it depends on the proposed elaboration objective. In this work, this knowledge has been employed to design an expert system based on fuzzy logic that permits the maximization of olive oil that is extracted from the olive paste using extractability models of the olive in each maturity index. For this purpose, the system by means of computer vision estimates the olive oil amount that is susceptible of being extracted from the continuous supervision of floating olive oil on the paste, while this paste is inside the thermo-mixer, during the malaxing phase. The main advantages of this methodology are the optimization of the supplied heat to the process and the malaxing time, in order to guarantee the final product quality and quantity whereas the production cost is reduced such as the energy consumption.
Keywords :
computer vision; expert systems; fuzzy logic; product quality; production engineering computing; separation; vegetable oils; computer vision; expert system; extractability control; fuzzy logic; malaxing phase; maturity index; oil quality; olive oil elaboration process; olive paste preparation; product quality; production cost; productive process parameters; thermo-mixer; virgin olive oil; Computer vision; Expert systems; Fuzzy sets; Heating; Indexes; Optimization; Computer vision; Expert system; Virgin olive oil elaboration process;
Conference_Titel :
Industrial Technology (ICIT), 2015 IEEE International Conference on
Conference_Location :
Seville
DOI :
10.1109/ICIT.2015.7125105