Exploitation Workshop among 4 Digital Twin Innovation Projects
On the 3rd of February 2023, the ASHVIN (↗️) team hosted an exploitation workshop, gathering all four sister projects; COGITO (↗️), BIMprove (↗️)and BIM2Twin (↗️). The session’s objective has been to discuss the challenges, intellectual property rights, tricks and plans to take results far and wide, targeting our stakeholders. Biraj Harnal, Project Manager at DTT […]
ASHVIN Looks into Evidence-Based Design to Boost Productivity and Safety in Construction
The ASHVIN project develops an IoT-driven Digital Twin Platform and a digital toolkit supporting the European construction industry to become more productive and safer for workers. The ASHVIN solution can be used in the three construction phases: design, construction and maintenance of building sites. Early-design Phase Fed with Data from Past Projects The early design […]
The 5th Consortium Meeting in Greece
On the 19th and 20th of January 2023, the ASHVIN consortium had its 5th project meeting hosted by CERTH (↗️) in Thessaloniki, Greece. All 14 project partners gathered for 2 days to monitor the status of the work and discuss the next steps in developing, demonstrating and disseminating the ASHVIN system. Timo Hartmann from TUB […]
ASHVIN presented at the 29th International Conference on Multimedia Modeling
CERTH participated in the 29th International Conference on Multimedia Modeling (MMM2023) organised on 9 – 12th of January 2023 in Bergen, Norway. They showcased their research related to ASHVIN in a presentation and a poster entitled “Conference publication: Low-light image enhancement based on U-Net and Haas”. 150 conference participants followed the CERTH presentation. Abstract of […]
Real-time duration extraction of crane works for data-driven discrete event simulation
In December, the ASHVIN team presented a publication entitled “Real-time duration extraction of crane works for data-driven discrete event simulation” at the Winter Simulation Conference 2022 (↗️) organised in Singapore. The authors of the paper are Manuel Jungmann, Lucian Ungureanu , Timo Hartmann (from TUB) and Rolando Chacon and Hector Posada (from UPC). The construction […]
A survey for image-based methods in construction: from images to digital twins
In September 2022, the ASHVIN partner, CERTH, presented a publication entitled A survey for image-based methods in construction: from images to digital twins” at the 19th International Conference on Content-based Multimedia Indexing (CBMI 2022) (↗️). The authors of this publication are from ITI-CERTH (Koulalis, I., Dourvas, N., Triantafyllidis, T., Ioannidis, K., Vrochidis, S., & Kompatsiaris). […]
On the digital twinning of routine load tests in railway bridges
On the 15th of July, 2022, The ASHVIN team presented a publication in Conference proceedings at International Conference on Bridge Maintenance, Safety and Management 2022 (↗️). This publication is entitled “On the digital twinning of routine load tests in railway bridges. Case study: high-speed railway network, Extremadura, Spain”, and it is co-written by a group […]
Platology: A Digital Twin Ontology Suite for the Complete Lifecycle of Infrastructure
On the 7th of July, 2022, Rehan Khan from DTT (↗️) presented ASHVIN in a publication in Conference proceedings at the 29th Workshop on Intelligent Computing in Engineering (↗️). This presented publication is entitled “Platology: A Digital Twin Ontology Suite for the Complete Lifecycle of Infrastructure”, and including the following co-authors: Rehan Khan and Rahul […]
ASHVIN Demo Site #5 “Kineum Office Building” in Sweden is Running
The ASHVIN solution using digital twin technologies will boost the European construction industry making it more performant, more sustainable, and safer. This system, combining a set of digital twin applications connected to an open access IoT platform, is piloted in 10 real-world demonstration sites, and the demonstration site #5 “Kineum office building” in Sweden is […]
D3.2 Digital Twin-based Geo-Monitoring
The ASHVIN Work Package (WP3) “Data fusion for real-time construction monitoring” establishes novel algorithms for extracting the required features to be mapped from the real world to the simulated reality. Deliverable 3.2 entitled “ Digital Twin-based Geo-Monitoring” is one of the public technical deliverables of this WP. It is linked to task 3.3 Geo-Monitoring led […]
