Digitalization has been identified as one of the key enablers for renewal and competitiveness of European manufacturing industries. However, grasping the digitalization and IoT-related opportunities can be limited by the harsh environmental conditions of the manufacturing processes and end use environments. The ECSEL-IA 2019 project initiative CHARM aims to contribute to solving this problem by developing ECS technologies that tolerate harsh industrial environments. The project concept centres around real industrial challenges from different types of end use industries. The synergies and impacts arise from similarities in technology solutions serving different applications and industry sectors. The CHARM Use Cases include six different industry sectors, majority of them presented by innovative cutting-edge large enterprises that belong to the world-wide market leaders of their own sectors – while most of them being new to the ECSEL ecosystem: mining (Sandvik Mining and Construction Oy, FI), paper mills (Valmet Technologies Oy, FI), machining (Tornos SA, CH), solar panel manufacturing lines (Applied Materials Italia SRL, IT), nuclear power plants maintenance and decommissioning (ÚJV Řež a.s., CZ), and professional digital printing (Océ-Technologies B.V, NL). The planned demonstrators engage these big players with European ECS value chains and showcase capabilities that serve manufacturing industries’ needs at large. The new technologies to be developed include novel multi-gas sensors, robust high temperature and pressure sensors, flexible sensors for paper machine rolls, wireless power transfer systems, connectivity solutions for rotating parts, advanced vision systems, and enablers for autonomous driving. The project consortium includes 12 SMEs, 14 LEs and 12 RTOs, and covers the industrial value chains from simulations, sensors and components to packaging, integration and reliability as well as connectivity, cloud and cyber security solutions.

The main objective of ENGINE is to develop a first-time-right (FTR) and zero-defect metal product design and manufacturing system, then demonstrate it on marine engine supply-chain. Our ambition is to increase competitiveness of industry and SMEs, reduce manufacturing defects and waste, create new business cases, and improve employee well-being. To achieve it ENGINE will: 1. Create and demonstrate a novel metal product design and manufacturing system. 2. Develop computational modelling toolbox for product and process design, non-destructive diagnostic tools for production monitoring, and data solution for seamless integration of the whole supply-chain. 3. Research methodologies for first-time-right and zero-defect manufacturing (ZDM). 4. Investigate LCA and life-cycle cost (LCC) methods for design and business decisions. 5. Present a strategy for employee skills development. 6. Transform innovations into promising business cases. ENGINE's main objective is split into 10 specific objectives to ensure that all relevant areas are covered, the projects roadmap is well thought-out, and the separate steps create an achievable pathway to success. Assuming the current market shares, we expect an increase in turnover 2 000M EUR/year. When we succeed in the deployment plans of ENGINE, and we can decrease the cost per kilowatt, we can assume to double the current market share, thus leading another increase of 2 000M EUR/year. ENGINE is paramount to ensure the manufacturing quality and technical feasibility of new environmentally friendly fuel engines. It will create a huge impact on global CO2 emissions. We estimate that annually CO2 emissions will be reduced by 170 million tons through green fuel engines with the expected market share.

The overall concept of MANTIS is to provide a proactive maintenance service platform architecture based on Cyber Physical Systems that allows to estimate future performance, to predict and prevent imminent failures and to schedule proactive maintenance. Maintenance is no longer a necessary evil that costs what it costs, but an important function that creates additional value in the business process as well as new business models with a stronger service orientation. Physical systems (e.g. industrial machines, vehicles, renewable energy assets) and the environment they operate in, are monitored continuously by a broad and diverse range of intelligent sensors, resulting in massive amounts of data that characterise the usage history, operational condition, location, movement and other physical properties of those systems. These systems form part of a larger network of heterogeneous and collaborative systems (e.g. vehicle fleets or photovoltaic and windmill parks) connected via robust communication mechanisms able to operate in challenging environments. MANTIS consists of distributed processing chains that efficiently transform raw data into knowledge while minimising the need for bandwidth. Sophisticated distributed sensing and decision making functions are performed at different levels in a collaborative way, ranging from local nodes to locally optimise performance, bandwidth and maintenance; to cloud-based platforms that integrate information from diverse systems and execute distributed processing and analytics algorithms for global decision making. The research addressed in MANTIS will contribute to companies' assets availability, competitiveness, growth and sustainability. Use cases will be the testing ground for the innovative functionalities of the proactive maintenance service platform architecture and for its future exploitation in the industrial world. Results of MANTIS can be utilised directly in several industry areas and different fields of maintenanance.