Skip to 0 minutes and 10 seconds Big data, machine learning, real time optimisation, advanced control, neural networks. These are the keywords for a chemical and process industry that is evolving and changing, and where the real process - that includes equipment, hard instrumentation, and machines - is becoming more and more symbiotic with a virtual infrastructure based on digital tools and methods. The aim is to make production systems more competitive, more efficient, and more sustainable. If you want to know more about digitalisation in the process industry, this course is for you. You’ll be introduced to the world of industrial data and techniques currently available to handle those data, interpret them, extract valuable information and patterns, and use them to predict and improved process behavior.
Skip to 1 minute and 6 seconds You’ll learn about artificial neural networks and how they can be employed to represent and model real production units. You will understand the meaning of real time optimisation and how this methodology is becoming a digital workhorse to boost productivity and reduce the environmental footprint of process operations. You’ll learn what model-based automatic control is, how it can improve safety and performance, and the tools and methods necessary to set it up. This course will give you an overview of some of the techniques that are transforming chemical production and will make you more aware and competent about the practical meaning of digitalisation in the process industry.
