Our multivariate meta-model is an innovation that combines for the first time i) theory-driven mathematical modeling, ii) computer-driven machine learning and iii) cognitive sciences, to uniquely merge human scientific knowledge and technical state-of-the-art (SotA) measurement data in a new and ambitious way. In the Accelerator project, we will add a fourth discipline - domain-specific metallurgical theory and experience, to make MetaPRO interpretable for all operators in the metallurgy industry. The EIC Accelerator Pilot project will move our current MetaPRO prototype technology to full commercialisation and onto the global markets, targeting metallurgy plant owners, furnace equipment OEMs, electrical power supply equipment OEMs, classification societies and insurance companies in Europe, Australia and America. The envisaged project builds upon a thoroughly tested prototype, positioned at TRL 6, after 6 years of intensive R&D, data analysis, software developing, initial prototyping and laboratory tests.
Compared to conventional condition monitoring, MetaPRO is non-intrusive and reduces unplanned process variations by up to 50%, resulting in overall productivity increase of up to 10%. This can be translated into annual economic savings of €6.5m for an average steel production site deploying MetaPRO for one of their electric arc furnaces, instead of a conventional monitoring tool. To increase our commercial success and impact, we have created a Strategic Business Plan, as a detailed roadmap, describing all necessary activities we need to undertake to ensure a successful market introduction. Now, we seek to develop our Commercialisation Plan (CP), which will form an important part of the final Business Innovation Plan (BIP), to be created in this Accelerator Pilot project. As the envisaged Accelerator Pilot project builds upon a validated prototype technology, the majority of our efforts will be focused on piloting and commercialisation activities.