Smart enterprise for pulp & paper mills: Data processing and reconciliation

Abstract

An ad-hoc data reconciliation procedure developed for the recausticizing section of a new pulp and paper industry is presented in this work. A comprehensive model was formulated to take into account different unit operation modes. It was also extended to incorporate specific knowledge of some pieces of equipment to increase redundancy, and consequently enhance estimate precision and gross error detectability. © 2002 Elsevier B.V. All rights reserved.