Smart Manufacturing – Multimodal Data Fusion and Analytics Group

W2W

W2W A Wood-to-Wood Cascade Upcycling Valorisation Approach The W2W project will produce and validate a comprehensive framework for multi-dimensional cascade valorisation of wood from C&D and furniture waste, consisting of four core components: 1) Advanced separation & sorting technologies: Adaptive Separation and Sorting system based on cascade valorisation thresholds, making use of human-robot collaboration and mixed reality technologies 2) Upcycling Processes and Technologies: mechanical, chemical, and bioremediation processes to recover wood or resources from waste and use them in new products which have the same quality as the ones produced by primary resources3) Digital Tools for Improving Circular Flows of Secondary Materials: LCA-based tool to predict and assess the impact of different cascade paths, Supply Chain Management Tool for the optimisation of upcycling of secondary materials, Digital Product Passport, and…

R3VOLUTION

R3VOLUTION A rEVOLUTIONary approach for maximising process water REuse and REsource REcovery through a smart, circular and integrated solution R3VOLUTION (R3V) project will revolutionize industrial water management in the EU, providing key innovations that can enable economically, environmentally and operationally water reclamation projects (by addressing solutes and energy recovery challenges), and generate significant impact for the EU in the next decade. To pave the way towards sustainable and efficient water and resource consumption, R3V takes on the challenge of developing and demonstrating a resource recovery solution that will enable >90% water reuse across most intensive water industries, applicable upstream and downstream, whilst recovering >45% effluents solutes, >50% waste heat reuse and eliminate 100% of hazardous substances. R3V will investigate, develop and demonstrate tailored membrane-based treatment trains coupled with waste heat,…

CYCLOPS

CYCLOPS Automated end-to-end data life cycle management for FAIR data integration, processing and re-use The CYCLOPS project is dedicated to advancing data integration and management across diverse and evolving data sources. It directly aligns with the European Strategy for Data, aiming to cultivate a cohesive data market. CYCLOPS sets its sights on pivotal future EU data spaces: tourism and mobility, the green deal, public procurement, and manufacturing. These four (4) thematic areas form the core of CYCLOPS's mission to establish a groundbreaking framework for the comprehensive governance of the data lifecycle. Through the application of Artificial Intelligence (AI) in Artificial Intelligence Operations (AIOps) and Data Operations (DataOps), augmented by Knowledge Graphs (KGs) and a human-in-the-loop approach, CYCLOPS strives to automate data processing pipelines. This approach is designed to eliminate data…

SEISMEC

SEISMEC Supporting European Industry Success Maximization through Empowerment Centred development SEISMEC pioneers a transformative approach to digital and industrial technology development, focusing on empowerment, human-centricity, and ethical principles. Through 17 pilot projects across 19 companies in 14 countries and diverse industrial sectors, SEISMEC aims to drive a paradigm shift. The project aims to demonstrate the concept of human-centricity in diverse industry sectors and contexts. Its objectives include empowering skilled workforces, addressing challenges related to advanced workplace technologies, and fostering innovation through evidence-based recommendations. SEISMEC stands as a landmark effort in reshaping European industry toward empowerment and human-centricity, with a strong emphasis on worker security and satisfaction The project evaluates the benefits of human-centricity across various dimensions such as creativity, collaboration, autonomy, and productivity, using CAPS empowerment factors introducing technical innovations…

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…