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 to fully leverage the potential of the IoT based digital twin platform to reach the expected impacts:

  • Better scheduling forecast by 20%
  • Better allocation of resources and optimization of equipment usage
  • Reduced number of accidents
  • Reduction of construction projects

The ASHVIN solutions will overcome worker protection and privacy issues that come with the tracking of construction activities, provide means to fuse video data and sensor data, integrate geo-monitoring data, provide multi-physics simulation methods for digital representing the behavior of a product (not only its shape). Finally, ASHVIN outcome will provide evidence based engineering methods for productivity and safety design, 4D simulation and visualization methods of construction processes, and enable to develop a lean planning process supported by real-time data.

All innovations will be demonstrated on 10 real-world construction projects across Europe. The ASHVIN consortium combines strong R&I players from 11 EU member states with strong expertise in construction and engineering management, digital twin technology, IoT, and data security / privacy.

PUBLICATIONS

  1. P. Vrachnos, C. Ramonell, I. Koulalis, K. Ioannidis, I. Stipanovic and S. Vrochidis, “A Framework for Vision-Based 3D Inspections for Maintenance Activities and Digital Twin Integration”, presented at the 21st International Conference on Content-based Multimedia Indexing (CBMI), Reykjavik, Iceland, Jul. 2024. OPEN ACCESS
  2. M. Krestenitis, E. Badeka, I. Koulalis, K. Ioannidisand S. Vrochidis, “Enhanced Defect Detection in Airport Runway Infrastructure Using Image-Text Pairing”, presented at the 21st International Conference on Content-based Multimedia Indexing (CBMI), Reykjavik, Iceland, Jul. 2024 OPEN ACCESS
  3. P. Vrachnos, M. Krestenitis, I. Koulalis, K. Ioannidis,S. Vrochidis , "A Framework for 3D Modeling of Construction Sites Using Aerial Imagery and Semantic NeRFs". In International Conference on Multimedia Modeling (pp. 175-187). Cham: Springer Nature Switzerland, January, 2024
  4. Α. Tsanousa, C. Moschou, E. Bektsis, S. Vrochidis, I. Kompatsiaris, "Fusion of Environmental Sensors for Occupancy Detection in a Real Construction Site", Sensors 2023, 23, 9596. https://doi.org/10.3390/s23239596 OPEN ACCESS
  5. Koulalis, I., Dourvas, N., Triantafyllidis, T., Ioannidis, K., Vrochidis, S., & Kompatsiaris, I. "A survey for image based methods in construction: from images to digital twins", In 19th International Conference on Content-based Multimedia Indexing (CBMI 2022), Graz, Austria, 14-16 September 2022, Pages 103-110, DOI:https://doi.org/10.1145/3549555.3549594. OPEN ACCESS