Author(s)

J. Ricardo Perez-Correa, M. Victoria Letelier, Aldo Cipriano, Hector Jorqucra, Oscarina Encalada & Ivan Solar

Abstract

Forecasting high SC>2 concentration levels with fuzzy clustering techniques J. Ricardo Perez-Correa^ M Victoria Letelier^, Aldo Cipriano*, Hector Jorqucra\ Oscarina Encalada^ & Ivan Solar^ Depto. de Ingenieria Quimicay Bioprocesos, Pontificia 22, le Chile, Casilla 306, Santiago 22, Chile Email: perez@ing.puc. cl Abstract The city of Copiapo in Chile, close to the Hernan Videla Lira smelting copper plant, often suffers episodes of high SO] concentration levels that seriously affect the well-being of its inhabitants. A system forecasting high SO] levels was developed in order to alert the people of Copiapo and to give the plant engineers time to alter the operating conditions and thereby prevent the occurrence of these episodes or at least minimise their magnitude. The system uses a fuzzy clustering technique to process on-line data streaming from five monitoring stations every minute. The system is capable of f

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