“These new AI technologies are based on machine- and deep-learning algorithms that create their own understanding of a process by finding patterns in the raw process data. They then use this understanding to solve problems that help improve performance and sustainability,” explains King Becerra, FLSmidth Global Product Line manager, Group Digital.
As one practical example of AI at work, the ECS/ProcessExpert V8.5 software facilitates predictive modelling of process data signals that are either unreliable or unavailable – such as real-time clinker quality measurements or O2/NOX measurements at the kiln inlet. These are then used to create a more accurate model and controller of the actual process conditions. The benefits? Better ability to maintain optimal setpoints and faster response to conditions that may result in undesirable situations.
ECS/ProcessExpert V8.5 software also incorporates new features to promote collaboration and cooperation. Customers can integrate their own machine or deep learning algorithms into the software’s applications and control strategies via a new module known as PXP DataBooks, bridging the gap between automation engineer and data scientist.
Another new feature of the ECS/ProcessExpert V8.5 software is a range of sustainability dashboards that contextualise the system’s performance in terms of environmental KPIs. With these dashboards, operators can clearly see how process improvements, such as lower fuel consumption or higher energy efficiency, translate into lower CO2 emissions.
“AI is opening the door to create new solutions that efficiently offer more value,” adds Javier Pigazo Merino, Technical Product Line manager. “We are excited by the possibilities this brings to improve further the intelligence of our process control solutions, which is a big part of our commitment to make cement plants smarter, more productive and increasingly sustainable.”