PRESENTATION
2003 - User Conference
Dofasco’s Enhanced Monitoring System
This presentation will describe enhancements that have been made to Dofasco’s Caster Stable Operation Supervisor (SOS) System using OSI PI Products. A new multivariate statistical monitoring system has been developed for the start cast operation. This new development provides an integrated caster monitoring approach combining batch and steady state multivariate monitoring technologies. The information is presented to the operator using PI ProcessBook providing a continuous indication of process stability. An Active X Control Thermal Map has also been developed that gives the operators a visual indication of thermal gradient in the mould of the caster. This is an extremely useful tool for diagnosing unstable casting conditions.
To conclude we will describe an internally developed utility called PMPA (Performance Monitoring of Process Alarms) that is used to statistically analyze PI data, monitoring the performance of the systems in place at Dofasco.
Industry
- Metals Mining & Materials
Company
Dofasco Automation Technology
Speaker
Adam Smyth
Adam is a senior automation analyst for Dofasco’s Process Automation department. Adam has 5 years experience developing automation solutions in the process industries. Adam currently works as a member of Dofasco’s Primary Automation Systems department which is responsible for supporting and improving the level 2 automation systems for Dofasco’s Electric Arc Furnace, #2 Ladle Metallurgy Facility and their 2 Continuous Casters. Adam is also responsible for modeling activities in Dofasco’s Utilities department. Adam holds a B.A English & Management in Chemical Engineering from the University of McMaster and an M.B.A From McMaster University focused on the Management of New Technology.
Company
Dofasco Automation Technology
Speaker
Vit Vaculik
Vit Vaculik, B. Math, M. Eng. (Chemical) Vit has 15 years experience in the design, development and commissioning of industrial control and automation systems in the metals industry. Most of his career has been with Dofasco where he had responsibility over various control functions for a major mill upgrade and a mill start-up. During his years as a consultant, he was the lead engineer for a major control system software development project. Recent specialization in the application of multivariate statistical technologies to various manufacturing processes has resulted in the invention of a monitoring system for continuous casters and an adaptive model-based control system for the desulfurization of hot metal.