Smart Manufacturing – Multimodal Data Fusion and Analytics Group

DiMAT

DiMAT Digital Modelling and Simulation for Design, Processing and Manufacturing of Advanced Materials The DiMAT project addresses the sustainability and resilience of processes and systems within the materials manufacturing industry. An important takeaway from crises such as climate change and the pandemic was that sustainable action and resilient processes need to be the standard, not the exception. The digital transformation in the manufacturing industry (Industry 4.0, smart factory, etc.) is weakly coupled with materials science and engineering, a fact most prominent when considering that the share of the materials production cost is about 30-55 %, but the energy cost to produce a component is about 2-8 %. Large companies benefit from the close collaboration of the scientific community and the industry for the development of Integrated Computational Materials Engineering (ICME),…

TALON

TALON Autonomous and Self-organized Artificial Intelligent Orchestrator for a Greener Industry 4.0 Next-generation industrial systems promise to deliver unprecedented excellence not only in terms of performance, but also explainability, trustworthiness and transparency. To achieve this new objectives, state-of-the-art concepts of artificial intelligence (AI), edge-to-cloud (E2C) computing, blockchain, and visualisation need to be de-risked and applied. Motivated by this, TALON aims at sculpturing the road towards the next Industrial revolution by developing a fully-automated AI architecture capable of bringing intelligence near the edge in a flexible, adaptable, explainable, energy and data efficient manner. M4D, the participating team from CERTH, contributes in the definition of TALON’s user and system requirements for the various use cases and the overall system, as well as in the definition of the KPIs, requirements, and the technology…

AIDEAS

AIDEAS AI Driven industrial Equipment product life cycle boosting Agility, Sustainability and resilience AIDEAS will develop AI technologies for supporting the entire lifecycle (design, manufacturing, use, and repair/reuse/recycle) of industrial equipment as a strategic instrument to improve sustainability, agility and resilience of the European machinery manufacturing companies. AIDEAS will deploy 4 integrated Suites: 1) Design: AI technologies, integrated with CAD/CAM/CAE systems, for optimising the design of industrial equipment structural components, mechanisms and control components; 2) Manufacturing: AI technologies for industrial equipment purchased components selection and procurement, manufactured parts processes optimisation, operations sequencing, quality control and customisation; 3) Use: AI technologies with added value for the industrial equipment user, providing enhanced support for installation and initial calibration, production, quality assurance and predictive maintenance for working on optimal conditions; 4) Repair-Reuse-Recycle: AI…

i4Q

i4Q Industrial Data Services for Quality Control in Smart Manufacturing i4Q Project will create a framework consisting of sustainable IoT-based Reliable Industrial Data Services (RIDS), that will provide solutions for factories in handling large amounts of data. The management and analysis of data derived from the work flows of factories will assist in the prediction and optimization of manufacturing processes that subsequently leads to improved process and product quality. Cost-effective, smart and small size interconnected factory devices will be used for online monitoring and control of manufacturing and will extract huge amounts of relevant data. i4Q Solutions will employ state-of-the-art communication protocols, ensuring data accuracy, precision and integrity through distributed ledger technology. The main objectives of i4q project are: 1) to develop, design and build the i4q framework, 2) to…

ASHVIN

ASHVIN aims at enabling the European construction industry to significantly improve its productivity, while reducing cost and ensuring absolutely safe work conditions. Towards this objective, ASHVIN will provide a European wide digital twin standard, an open source digital twin platform integrating IoT and image technologies, and a set of tools and demonstrated procedures to apply the platform and the standard proven to guarantee productivity, cost, and safety improvements. The envisioned platform will provide a digital representation of the construction product at hand and will allow to collect real-time data before, during, and after production of the product to continuously monitor changes in the environment and within the production process. Based on the platform, ASHVIN will develop and demonstrate applications that use the digital twin data. These applications will allow it…

DIH^2

DIH^2 A Pan-European Network of Robotics DIHs for Agile Production DIH^2 is a network of 26 DIHs, with a target to reach over 170 DIHs. The sole aim of the network is to spark incremental (cut 50% cost of advance robotics solutions, double the growth of robotics market) and disruptive (maximum productivity & optimum agility) innovations in over 300,000 Manufacturing SMEs and Mid-Caps. It will support SMEs in their Agile Production challenge (50% increase in productivity) and unleash their digitalization potential by enabling robot solutions that are more cost effective at lower lot sizes. DIH^2 relies on: A Common Open Platform Reference Architecture for Agile Production (COPRA-AP) -based on Industrial Data Space Reference Architecture Model and FIWARE technologies- to serve the needs of SMEs by means of a continuously growing…