ASHVIN WP5 “Digital twin based structural monitoring and asset management” focus on establishing a real-time connection between physical infrastructures and virtual yet realistic numerical models of such assets for the purpose of...
Read MoreIt’s time to express our heartfelt THANKS to you, our dedicated followers and fellow digital twin enthusiasts, for your unwavering support throughout our ASHVIN project! We have been privileged to share with...
Read MoreThe ASHVIN team has been running for 42 months until March 2024 to develop a novel digital twin solution to support the construction and asset management sectors in becoming more productive, safe...
Read MoreAfter 3.5 years of research and real-world testing across diverse infrastructure assets, we are proud to announce our latest findings and innovations in this press release. Key Highlights: ▶ Real-World Testing:...
Read MoreOn March 27, 2024, the ASHVIN project hosted an internal exploitation workshop, gathering the consortium partners for discussions and business model planning around the project’s key exploitation results. During our business model...
Read MoreDear ASHVIN’s followers and friends, We are pleased to share the final newsletter of our project, celebrating our commitment to research and innovation in digital twin technologies to boost the construction sector! ...
Read MoreDuring the last project year, the ASHVIN project’s aim was to open the ASHVIN Digital Twin solution to more construction and maintenance projects by collecting their data with a wide range of...
Read MoreThe ASHVIN project is nearing its end, and now it is time to showcase the major technical results of this 3.5-year research project! Since 2020, the ASHVIN team has developed a digital...
Read MoreASHVIN, COGITO and BIM2TWIN are pleased to present you the project clusters’ joint flash newsletter of these four EU-supported research projects that are devoted to developing Digital Building Twin technologies to boost...
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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 958161.
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