EConoM

Ubiquitous computing supports the digitization efforts of various industries mobile and flexible through local computing power. 5G campus networks in concert with edge computing combine locally available computing power with low latency at high data volumes and enable the deployment of new AI technologies. Designing robust, nomadic processing and network infrastructures in constantly changing environments, with changing participants (trades), and deployment in the field is the key challenge for successful further site automation. In contrast to the stationary industry, this is made particularly clear by the requirements in the construction application field. Construction projects are realized in temporary, constantly changing production environments with frequently changing stakeholders.
At the same time, the construction industry, a little considered central German industry with a construction volume of €482 billion and approximately 0.939 million employees in 2021, has the highest development potential in the areas of digitization and automation. Digitalization and Building Information Modeling (BIM) have so far only increased the efficiency of construction planning processes, but construction management and execution are still mainly analog. The efficiency along the entire construction value chain must be increased in order to achieve the to achieve the goals of affordable housing, climate protection, modernization of mobility modernization of mobility and infrastructure. Within the framework of EConoM the aim is to use innovations in the fields of artificial intelligence (AI) and 5G campus networks, the quality of construction work is to be improved, occupational safety on the construction site, reduce overall costs and shorten construction times. are being achieved. Edge computing, AI and communications must be ubiquitous on construction sites to achieve this, robust, easy to use and trouble-free on construction sites.

The overarching goal of the project is to improve construction value chains by creating a robust nomadic infrastructure that enables synchronization and flexibility of distributed construction processes, collaboration of changing work communities, digital building information models (BIM), and sensor/machine networks, taking into account the GAIA-X fundamental principles of identity, trust, and data sovereignty. This will require innovations in 5G infrastructure in collaboration with AI, including:

•  autonomous detection of site change and automated adaptation of the 5G campus network.
•  the simplified and automated provisioning of the 5G campus network in case of changing trades
• the use of AI for localization of objects without Line of Sight (LoS)
• the use of AI and 5G for automated and permanent measurement of the construction site and its objects in the BIM (Digital Twin)
• the implementation of the BIM (Digital Twin) in the edge infrastructure.

• Fraunhofer HHI
• planen-bauen 4.0 GmbH
• HOCHTIEF ViCon GmbH
• Fraunhofer Fokus
• Zeppelin Rental
• RWTH Aachen, Lehrstuhl für individualisierte Bauproduktion
• UNIBERG
• Center Construction Robotics