Geometric Process Control (GPC) is a technology developed at leading UK-based chemical engineering consultancy PPCL Ltd (www.ppcl.com). It lets you see hundreds of process variables and tens of thousands of observations from process and other plant data in a single parallel coordinates graph with supplemental time-trends, distribution plots and Pareto plots with every individual point traceable through all the views. It comes with an extremely powerful graphical Boolean query capability that lets you extract feed-to-product operating windows and operating envelopes to help you explain why yesterday was such a great day for your KPIs and what went wrong last week when the fractionator column flooded five times.
Why is this important? Well, it lets you benefit from a few hundred thousand years of evolution and use your amazing human powers of pattern recognition and interpretation to determine cause-and-effect relationships – as well as correlations – in multi-variable problems where previously you had fewer than 10 variables to work with. You also would have needed some heavy-duty mathematics, which requires first an expensive statistician and then a hypothesis to test and which tends to introduce new complications when trying to explain your results to others.
Having determined your best operating envelope from process history, GPC creates a real-time model complete with graphical operator interface for process operator guidance and an OPC Client to link to your DCS or historian to keep your process operating in the best operating envelope you have chosen far into the future.
Come to this free webinar on September 11 and we will show you how GPC unifies process control, quality control, KPI achievement, operating limits and operator alarms into one readily understandable framework. A huge step forward for chemical engineering and you won’t need more than basic maths!
Wednesday 11th September: Perth 1pm, Sydney/Brisbane 3pm – https://attendee.gotowebinar.com/register/9215551611353934339
Or see www.ppcl.com/webinars.