Project description DEENESFRITPL A 3D virtual model of large-scale operational assets Predictive maintenance, real-time simulation and asset management are important for any type of large infrastructure project in the oil and gas, renewables, aerospace and transport (air, rail and maritime) industries. As such, digital twin technology is essential. In this context, the EU-funded Akselos Integra project will bring to market a solution that enables a level of detail and accuracy previously unobtainable. Using Big Data analytics and sensor data, it creates a Digital Guardian – a 3D virtual model of large-scale operational assets. Overall, the focus is on structural integrity management and improves productivity by boosting processing speed while maintaining accuracy with a maximum error of 1 % for more than 1 billion degrees of freedom. Show the project objective Hide the project objective Objective Akselos Integra combines our super-fast, physics-based models,1000x faster than anything else in the market thanks to our proprietary Reduced-Basis Finite Element Analysis technology (RB-FEA), with Big Data analytics and sensor data to create a Digital Guardian, an accurate and detailed 3D virtual model of large-scale operational assets. Our complete solution enables a level of detail and accuracy previously unobtainable with conventional digital twin technology, for the design and maintenance of any kind of large infrastructure in the Oil & Gas, Renewable, Aerospace and Transport (air, rail, maritime) industries where predictive maintenance, real-time simulation and asset management are paramount. Akselos Integra reinvents the workflow for structural integrity management and improves its productivity through:- Time saving and scalability: boost in processing speed (a 1000x upgrade), compared to the best-in-class FEA software used by engineers today, while preserving accuracy with a maximum error of 1% for more than 1 billion degrees of freedom. - 24/7 asset monitoring: safety and reliability for large structures by implementing structural health indicators to help operators monitor and manage the integrity and lifecycle of their assets in real-time. To ensure the viability of Akselos Integra we will firstly include a technical analysis to guarantee the expected functionalities and key features in relevant operational environments, and secondly, we will develop a business plan including a commercial and financial feasibility study. Akselos Integra addresses critical needs for design and predictive maintenance in industrial sectors. Thus, Akselos Integra creates a new window of opportunities for the IIoT market by offering the first reliable and real-time physics-based digital twin for predictive maintenance applications. Akselos Integra is a key technology driver for the Industry 4.0 (or IIoT). Fields of science natural sciencescomputer and information sciencessoftwarenatural sciencescomputer and information sciencesdata sciencebig datasocial scienceseconomics and businesseconomicsproduction economicsproductivityengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsnatural sciencescomputer and information sciencesartificial intelligencemachine learning Programme(s) H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs Main Programme H2020-EU.3. - PRIORITY 'Societal challenges H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies Topic(s) EIC-SMEInst-2018-2020 - SME instrument Call for proposal H2020-EIC-SMEInst-2018-2020 See other projects for this call Sub call H2020-SMEInst-2018-2020-1 Funding Scheme SME-1 - SME instrument phase 1 Coordinator AKSELOS SA Net EU contribution € 50 000,00 Address EPFL INNOVATION PARK, BATIMENT D 1015 LAUSSANE Switzerland See on map SME The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed. Yes Region Schweiz/Suisse/Svizzera Région lémanique Vaud Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 71 429,00
