COGNIPLANT – Cognitive Platform to enhance 360º Performance and Sustainability of the European Process Industry
Process industries turn to advanced technology to improve production and quality control and limit unplanned negative occurrences. Advanced data control and analysis combined with the Digital Twin concept offer substantial benefits to production plants. The EU-funded COGNIPLANT project will supply plants with a ranked supervisory control solution that offers an inclusive observation of the production process and its energy and resource needs. The project will be performed by four SPIRE industries. A chemical plant in Austria, an aluminium refinery in Ireland, a concrete production plant in Italy and a metal manufacturer in Spain. COGNIPLANT will increase operation performance, boost quality control of the final products, speed up response time to unplanned incidents and reduce CO2 emissions.
Objective of the Project
COGNIPLANT project will develop and demonstrate an innovative approach for the advanced digitization and intelligent management of the process industries. This approach will be based on a novel vision to data monitoring and analysis, that will make the most of the latest developments on advanced analytics and cognitive reasoning, coupled with a disruptive use of the Digital Twin concept to improve Production plants’ operation performance by up to 68% in real time control of the productive environment, 65% in quality control of the final products and 70 % in response time to uncontrolled incidents.
The concept will be implemented by four end-users from four different SPIRE industries, one chemical industry in Austria, one aluminum refinery in Ireland, one concrete manufacturing industry in Italy and one metal industry in Spain. The COGNIPLANT solution will provide a hierarchical monitoring and supervisory control that will give a comprehensive vision of the plants’ production performance as well as the energy and resource consumption. Advanced data analytics will be applied to extract valuable information from the data collected about the processes and their effect on the production plant’s overall performance enabling to design and simulate operation plans in digital twin models based on the conclusions. As a result, optimal operation plans will be obtained that will improve the performance of those cognitive production plants. In addition, the project will demonstrate the positive impact derived from the implementation of COGNIPLANT solution that will allow industries reducing their CO2 emissions up to 20%.