Own development model for Integrated Management of Technological Innovation.
Digitalization of the process industries through the development of a cognition driven monitoring and control platform
The adoption of modern process control and monitoring techniques through CPS and IoT, and the application of analytics techniques is well established in manufacturing industries such as automotive, consumer goods, or electronic sectors. However, according to SPIRE Roadmap, the digitalization of process industries still presents an untapped potential. COGNIPLANT will deliver an integrated kit for the digitalization of the process industries through the development of a cognition driven monitoring and control platform. The so called Cognitive platform will be validated by the realization of four large demonstrations which will address the following SPIRE sectors: aluminum refinery, construction components manufacturing, chemical sector and the metal sector. The architecture of COGNIPLANT will consist of the interaction of three overarching layers which will be personalized according to the needs of each specific sector. These layers will follow a data driven methodology which will consist on collecting the information of the plant, analyzing it and making decisions based on the outcomes of the analysis and simulations.
VISIT WEBSITECOGNIPLANT project’s approach is summarized as follows: a hierarchical advanced monitoring and supervisory control will give a comprehensive vision of the plants’ production performance as well as the energy and resource consumption. Data collected from production plants’ equipment and sensors will be structured in a data virtualization layer. Advanced data analytics will be applied to extract valuable information (e.g. patterns, indicators) from the processes and their effect on the production plant’s overall performance. An innovative digital twin model of the factories will be created. Based on the conclusions extracted from the advanced data analysis, optimal operation plans will be designed and simulated in the digital twin models, coupled with a real time reactive scheduling tool. Finally, the consequences of these operations will be compared with the patterns extracted from the advanced data analysis, to measure the effectiveness of the prescriptive operations. The COGNIPLANT solution will consist of three main layers: Co-Digitise, Co-Analyse and Co-Decide.
COGNIPLANT will demonstrate an innovative approach for the advanced digitalization and intelligent management of the process industries. A novel vision to data monitoring analysis will be set, making the most of the latest developments on advanced analytics and cognitive reasoning, coupled with 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.
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