Integrative Data Processing

Research Project 9-1 (RP 9-1)

IntCDC Research Project 9-1 – Integrative Data Processing
INTEGRATIVE DATA PROCESSING FOR CONNECTED CYBER-PHYSICAL OFF-SITE AND ON-SITE CONSTRUCTION

A major challenge to the aspired co-design approach is centralised data management. Although this challenge has been tackled from different perspectives in the past, utilising data models and formats from both building and mechanical engineering, it has not yet been resolved. The models represent the flow along the process chain. However, a backflow of information is outside the scope of most approaches.

This research project aims to address this shortcoming by creating a central data management platform with a standardised syntax and semantics that is shared across the entire process chain and supports interoperability between all stages, demonstrated by a co-design approach for an adaptive production system.

To identify the relevant data sources and formats, data acquisition is part of the requirements definition. Based on the results of this acquisition, we define the software architecture of the overall data management framework, along with its internal data model. We also incorporate semantics into the framework and devise appropriate interfaces for the relevant data formats. The data mapped into the central data management platform serves as the basis for algorithms that analyse the deviation of a monitored state from the anticipated state. This allows the implementation of a feedback loop to develop an adaptive production system.

 

PRINCIPAL INVESTIGATORS

Prof. Dr. Melanie Herschel
Institute for Parallel and Distributed Systems (IPVS), University of Stuttgart
Prof. Dr.-Ing. Alexander Verl
Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW), University of Stuttgart

TEAM

Dr.-Ing. Armin Lechler (ISW)
Carsten Ellwein (ISW)
Nico Lässig (IPVS)
Alexander Reichle (ISW)

 

PEER-REVIEWED PUBLICATIONS

  1. 2024

    1. Gienger, A., Stein, C., Lauer, A. P. R., Sawodny, O., & Tarín, C. (2024). Data-Based Reachability Analysis and Optimized Robot Positioning for Co-Design of Construction Processes. 2024 IEEE/SICE International Symposium on System Integration (SII).
    2. Herschel, M., Gienger, A., Lauer, A. P. R., Stein, C., Skoury, L., Lässig, N., Ellwein, C., Verl, A., Wortmann, T., & Tarin Sauer, C. (2024). Putting Co-Design-Supporting Data Lakes to the Test: An Evaluation on AEC Case Studies. International Conference on Big Data Analytics and Knowledge Discovery (DAWAK).
    3. Lässig, N., & Herschel, M. (2024). FALCC: Efficiently performing locally fair and accurate classifications. International Conference on Extending Database Technology (EDBT). https://openproceedings.org/2024/conf/edbt/paper-59.pdf
    4. Lässig, N., Nies, O., & Herschel, M. (2024). FairCR - An Evaluation and Recommendation System for Fair Classification Algorithms. Proceedings of the International Conference on Data Engineering (ICDE).
    5. Opgenorth, N., Cheng, T., Lauer, P. R. A., Stark, T., Tahouni, Y., Treml, S., Göbel, M., Kiesewetter, L., Schlopschnat, C., Zorn, M. B., Yang, X., Amtsberg, F., Wagner, H. J., Wood, D., Sawodny, O., Wortmann, T., & Menges, A. (2024). Multi-scalar computational fabrication and construction of bio-based building envelopes – the livMatS biomimetic shell. Fabricate 2024: Creating Resourceful Futures, 22–31. https://doi.org/10.2307/jj.11374766.7
    6. Skoury, L., Treml, S., Opgenorth, N., Amtsberg, F., Wagner, H. J., Menges, A., & Wortmann, T. (2024). Towards data-informed co-design in digital fabrication. Automation in Construction, 158, 105229. https://doi.org/10.1016/j.autcon.2023.105229

  2. 2023

    1. Amtsberg, F., Yang, X., Skoury, L., Ron, G., Kaiser, B., Calepso, A. S., Sedlmair, M., Verl, A., Wortmann, T., & Menges, A. (2023). Multi-Akteur-Fabrikation im Bauwesen. Bautechnik, 100(10), Article 10. https://doi.org/10.1002/bate.202300070
    2. 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
    3. Lässig, N. (2023). Towards an AutoML System for Fair Classifications. International Conference on Data Engineering (ICDE), 3913--3917. https://doi.org/10.1109/ICDE55515.2023.00380
    4. Sherkat, S., Skoury, L., Wortmann, A., & Wortmann, T. (2023). Artificial Intelligence Automated Task Planning for Fabrication. In K. Dörfler, J. Knippers, A. Menges, S. Parascho, H. Pottmann, & T. Wortmann (Eds.), Advances in Architectural Geometry 2023 (pp. 249--260). De Gruyter. https://doi.org/doi:10.1515/9783111162683-019

  3. 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 (Vol. 452, pp. 45--54). Springer. https://doi.org/10.1007/978-3-031-07481-3_6
    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
    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. In C. Gengnagel, O. Baverel, G. Betti, M. Popescu, M. R. Thomsen, & J. Wurm (Eds.), Towards Radical Regeneration (pp. 601–615). Springer International Publishing. https://doi.org/10.1007/978-3-031-13249-0_47
    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

  4. 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). https://doi.org/10.14778/3476311.3476331
    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
    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).
    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).

  5. 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

OTHER PUBLICATIONS

  1. 2024

    1. Skoury, L., & Wortmann, T. (2024). livMats Biomimetic Shell Fabrication Tasks. DaRUS. https://doi.org/10.18419/darus-3648

DATA SETS

  1. 2024

    1. Skoury, L., & Wortmann, T. (2024). livMats Biomimetic Shell Fabrication Tasks. DaRUS. https://doi.org/10.18419/darus-3648

    

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