The economic cycle for the industry is becoming much less predictable than it was ten to twenty years ago. The ways in which we communicate and use paper are changing. Finally, with the construction of mills all over the world, the pulp and paper industry has truly become a global market. Every mill executive's current objectives are to increase productivity while decreasing costs and delivering added value to their customers, in turn, generating added value for their shareholders.
For the past five years, software products utilizing adaptive technologies have been introduced for solving process modeling/control applications in the pulp and paper industry. These adaptive algorithms (Neural Nets, Chaos Theory, Fuzzy Logic) have provided the unique ability to build accurate non-linear process models based on enormous historical data sets. These models are then put on-line using on-line software for continuous real time savings. Over twenty pulp and paper companies are currently using these products with resulting increases in yield, efficiency and throughput.
This paper describes a new product that represents the next step in process optimization and its use for paper machine control. The Process
PerfecterTM enables closed-loop control and optimization of nonlinear processes. The benefits of this system over traditional techniques delivers increased profitability by 1) the true unification of optimization and control into one discipline, 2) enabling nonlinear control in processes where traditional linear control is not applicable, 3) reducing the plant testing time for identification of process dynamics resulting in significantly reduced installation and process disruption, 4) by reducing maintenance cost and re-identification, and 5) improving quality through the implementation of statistically smart controls. This standard product, built upon and enhancing the previous products, provides a total solution that can be applied to significant pulp and paper unit.
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