Data Processing and AI for Predictive and Adaptive Co-Design

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Research Project 9-2 – Data Processing and AI for Predictive and Adaptive Co-Design

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.

PRINCIPAL INVESTIGATORS

Prof. Dr. rer. nat. Melanie Herschel
Institute for Parallel and Distributed Systems (IPVS), University of Stuttgart
Tenure-Track Prof. Dr. Thomas Wortmann
Chair for Computing in Architecture, Institute for Computational Design and Construction (ICD), University of Stuttgart
Prof. Dr.-Ing. Cristina Tarín Sauer
Institute for System Dynamics (ISYS), University of Stuttgart

TEAM

Lior Skoury (ICD)
Charlotte Stein (ISYS)

PEER-REVIEWED PUBLICATIONS

2023
1. Gazzarri, L., & Herschel, M. (2023). Progressive Entity Resolution over Incremental Data. In J. Stoyanovich, J. Teubner, N. Mamoulis, E. Pitoura, & J. Mühlig (Eds.), Proceedings 26th International Conference on Extending Database Technology, EDBT 2023, Ioannina, Greece, March 28-31, 2023 (pp. 80--91). OpenProceedings.org. https://doi.org/10.48786/edbt.2023.07
  - BibTeX
  BibTeX
  @inproceedings{DBLP:conf/edbt/GazzarriH23, author = {Gazzarri, Leonardo and Herschel, Melanie}, bibsource = {dblp computer science bibliography, https://dblp.org}, booktitle = {Proceedings 26th International Conference on Extending Database Technology, {EDBT} 2023, Ioannina, Greece, March 28-31, 2023}, doi = {10.48786/edbt.2023.07}, editor = {Stoyanovich, Julia and Teubner, Jens and Mamoulis, Nikos and Pitoura, Evaggelia and M{\"{u}}hlig, Jan}, pages = {80--91}, publisher = {OpenProceedings.org}, title = {Progressive Entity Resolution over Incremental Data}, url = {https://doi.org/10.48786/edbt.2023.07}, year = 2023 }
2022
1. Lässig, N., Herschel, M., Reichle, A., Ellwein, C., & Verl, A. (2022). The ArchIBALD Data Integration Platform: Bridging Fragmented Processes in the Building Industry. In J. D. Weerdt & A. Polyvyanyy (Eds.), Intelligent Information Systems - CAiSE Forum 2022, Leuven, Belgium, June 6-10, 2022, Proceedings (Vol. 452, pp. 45--54). Springer. https://doi.org/10.1007/978-3-031-07481-3\_6
  - BibTeX
  BibTeX
  @inproceedings{DBLP:conf/caise/LassigHREV22, author = {L{\"{a}}ssig, Nico and Herschel, Melanie and Reichle, Alexander and Ellwein, Carsten and Verl, Alexander}, bibsource = {dblp computer science bibliography, https://dblp.org}, booktitle = {Intelligent Information Systems - CAiSE Forum 2022, Leuven, Belgium, June 6-10, 2022, Proceedings}, doi = {10.1007/978-3-031-07481-3\_6}, editor = {Weerdt, Jochen De and Polyvyanyy, Artem}, pages = {45--54}, publisher = {Springer}, series = {Lecture Notes in Business Information Processing}, title = {The ArchIBALD Data Integration Platform: Bridging Fragmented Processes in the Building Industry}, url = {https://doi.org/10.1007/978-3-031-07481-3\_6}, volume = 452, year = 2022 }
2. Lässig, N., Oppold, S., & Herschel, M. (2022). Metrics and Algorithms for Locally Fair and Accurate Classifications using Ensembles. Datenbank-Spektrum, 22(1), Article 1. https://doi.org/10.1007/s13222-021-00401-y
  - BibTeX
  BibTeX
  @article{lassig2022metrics, author = {Lässig, Nico and Oppold, Sarah and Herschel, Melanie}, doi = {10.1007/s13222-021-00401-y}, journal = {Datenbank-Spektrum}, number = 1, pages = {23 - 43}, refid = {Lässig2022}, title = {Metrics and Algorithms for Locally Fair and Accurate Classifications using Ensembles}, url = {https://doi.org/10.1007/s13222-021-00401-y}, volume = 22, year = 2022 }
3. Skoury, L., Amtsberg, F., Yang, X., Wagner, H. J., Menges, A., & Wortmann, T. (2022). A Framework for Managing Data in Multi-actor Fabrication Processes (C. Gengnagel, O. Baverel, G. Betti, M. Popescu, M. R. Thomsen, & J. Wurm, Eds.).
  - BibTeX
  BibTeX
  @conference{skoury2022framework, author = {Skoury, Lior and Amtsberg, Felix and Yang, Xiliu and Wagner, Hans Jakob and Menges, Achim and Wortmann, Thomas}, editor = {Gengnagel, Christoph and Baverel, Olivier and Betti, Giovanni and Popescu, Mariana and Thomsen, Mette Ramsgaard and Wurm, Jan}, title = {A Framework for Managing Data in Multi-actor Fabrication Processes}, year = 2022 }
4. Wortmann, T., Herschel, M., Staab, S., & Tarín, C. (2022). AI for AEC: KI für Bauplanung und Bau. Bautechnik, 99(10), Article 10. https://doi.org/10.1002/bate.202200070
  - BibTeX
  BibTeX
  @article{wortmann2022bauplanung, author = {Wortmann, Thomas and Herschel, Melanie and Staab, Steffen and Tarín, Cristina}, doi = {https://doi.org/10.1002/bate.202200070}, journal = {Bautechnik}, number = 10, title = {AI for AEC: KI für Bauplanung und Bau}, volume = 99, year = 2022 }
2021
1. Diestelkamper, R., Lee, S., Glavic, B., & Herschel, M. (2021). Debugging Missing Answers for Spark Queries over Nested Data with Breadcrumb. Proceedings of the VLDB Endowment (PVLDB).
  - BibTeX
  BibTeX
  @article{diestelkamper2021debugging, author = {Diestelkamper, Ralf and Lee, Seokki and Glavic, Boris and Herschel, Melanie}, journal = {Proceedings of the VLDB Endowment (PVLDB)}, title = {Debugging Missing Answers for Spark Queries over Nested Data with Breadcrumb}, year = 2021 }
2. Ellwein, C., Reichle, A., Herschel, M., & Verl, A. (2021). Integrative data processing for cyber-physical off-site and on-site construction promoting co-design. Procedia CIRP, 100, 451–456. https://doi.org/10.1016/j.procir.2021.05.103
  - BibTeX
  BibTeX
  @article{Ellwein_2021, abstract = {The term co-design describes a collaborative design process, usually across the boundaries of individual areas. A major aspect, and often an obstacle in the implementation of the co-design approach, is the establishment of a centralized data management system. In the past, the data management concept has been approached from different perspectives. Current approaches usually are oriented along the process chain and thus reflect a unidirectional flow of information. Neither the information feedback nor the reaction to adjustments in upstream model steps is supported, which makes continuous collaboration more difficult and at best reduces the co-design approach for continuous data usage. This paper addresses these weaknesses while outlining an integrative data processing concept enabling co-design between the domains of construction and industrial prefabrication. Geometrical information generated during architectural design and construction planning is reused for the production of components, manufacturing-related design adjustments are transferred back into the domain of construction. Changes throughout the entire process are centrally recorded. To ensure independence from the software tools used and to consider their great diversity, data exchange is largely based on standards, namely industry foundation classes and the standard for the exchange of product model data. In order to counteract the sequential processing according to a waterfall model and to support the co-design approach, the industrial prefabrication toolchain, consisting of computer-aided manufacturing software and downstream postprocessors, is largely automated, so that reprocessing of a workpiece for minor geometric adjustments no longer requires any interaction of the production planner.}, author = {Ellwein, Carsten and Reichle, Alexander and Herschel, Melanie and Verl, Alexander}, doi = {10.1016/j.procir.2021.05.103}, journal = {Procedia CIRP}, note = {31st CIRP Design Conference 2021 (CIRP Design 2021)}, pages = {451-456}, publisher = {Elsevier {BV}}, title = {Integrative data processing for cyber-physical off-site and on-site construction promoting co-design}, url = {https://www.sciencedirect.com/science/article/pii/S2212827121005746}, volume = 100, year = 2021 }
3. Gazzarri, L., & Herschel, M. (2021). End-to-end Task Based Parallelization for Entity Resolution on Dynamic Data. Proceedings of the IEEE International Conference on Data Engineering (ICDE).
  - BibTeX
  BibTeX
  @inproceedings{gazzarri2021endtoend, author = {Gazzarri, Leonardo and Herschel, Melanie}, booktitle = {Proceedings of the IEEE International Conference on Data Engineering (ICDE)}, title = {End-to-end Task Based Parallelization for Entity Resolution on Dynamic Data}, year = 2021 }
4. Lässig, N., Oppold, S., & Herschel, M. (2021). Using FALCES against bias in automated decisions by integrating fairness in dynamic model ensembles. In Proceedings of Database Systems for Business, Technology, and Web (BTW).
  - BibTeX
  BibTeX
  @inproceedings{lssig2021using, author = {Lässig, Nico and Oppold, Sarah and Herschel, Melanie}, booktitle = {In Proceedings of Database Systems for Business, Technology, and Web (BTW)}, title = {Using FALCES against bias in automated decisions by integrating fairness in dynamic model ensembles}, year = 2021 }
2019
1. Diestelkämper, R., & Herschel, M. (2019). Capturing and Querying Structural Provenance in Spark with Pebble. In ACM International Conference on Management of Data (SIGMOD), 1893–1896. https://doi.org/10.1145/3299869.3320225
  - BibTeX
  BibTeX
  @inproceedings{diestelkmper2019capturing, author = {Diestelkämper, Ralf and Herschel, Melanie}, booktitle = {In ACM International Conference on Management of Data (SIGMOD)}, ee = {https://doi.org/10.1145/3299869.3320225}, isbn = {978-1-4503-5643-5}, pages = {1893-1896}, title = {Capturing and Querying Structural Provenance in Spark with Pebble}, url = {https://doi.org/10.1145/3299869.3320225}, year = 2019 }

OTHER PUBLICATIONS

DATA SETS

Prof. Dr. Melanie Herschel

Principal Investigator

Phone: +49 711 685 88444

E-Mail

Prof. Dr.-Ing. Cristina Tarín Sauer

Participating Researcher

Phone: +49 711 685 83253

E-Mail

Tenure-Track Prof. Dr. Thomas Wortmann

Cluster Professor

Phone: +49 711 685 81933

E-Mail

DATA PROCESSING AND AI FOR PREDICTIVE AND ADAPTIVE CO-DESIGN IN PREFABRICATION AND ON-SITE CONSTRUCTION

PRINCIPAL INVESTIGATORS

TEAM