DATA PROCESSING AND AI FOR PREDICTIVE AND ADAPTIVE CO-DESIGN IN PREFABRICATION AND ON-SITE CONSTRUCTION
A significant obstacle to the cluster’s co-design approach is integrative data management across all phases of building processes. While this obstacle has been targeted from different perspectives, utilizing data models and formats specific to different domains (e.g., building engineering, mechanical and plant engineering), it has not yet been overcome. The models typically represent the flow alongside the process chain and have limited interoperability. A broader view based on data combined from different phases and back-flow of information are not well supported. This project addresses these shortcomings by creating a central data management (CDM) platform that integrates data from multiple phases of the building process, supports co-design based on artificial intelligence (AI) by jointly analyzing these data, and returning data-derived feedback to various parties involved. Having defined the CDM software architecture and implemented a first co-design application in RP9-1, we now focus on data integration algorithms embedded into predictive and adaptive co-design that apply AI methods to prefabrication and on-site construction.
Institute for Parallel and Distributed Systems (IPVS), University of Stuttgart
Prof. Dr. rer. nat. Melanie Herschel
Institute for Computational Design and Construction (ICD), University of Stuttgart
Tenure-Track Prof. Dr. Thomas Wortmann, Gili Ron, Lior Skoury
Institute for System Dynamics (ISYS), University of Stuttgart
Prof. Dr.-Ing. Cristina Tarín Sauer (ISYS), Charlotte Stein (ISYS)
This project is part of the Cluster of Excellence EXC 2120 "IntCDC", funded by the German Research Foundation (DFG).
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