iOLE—Human-Centered Software Design for Leakage Detection in Water Distribution Networks
Leakages in water distribution networks still pose major challenges to water utilities. Despite numerous technological advances, the adoption of digital leakage detection technology remains a slow process. Here, we present the project iOLE—intelligent Online LEakage detection, where we aim to increase the applicability of automated leak detection in practice through enhanced user experience and detection robustness. iOLE employs a human-centered design approach that involves the feedback of potential users during its development process to maximize subsequent user acceptance. To this end, we design a graphical user interface, combine model-based and data-driven leakage detection, and conduct a comprehensive robustness analysis.
Authors
- David Steffelbauer (ORCID: https://orcid.org/0000-0003-2137-985X)
- Ivo Daniel (ORCID: https://orcid.org/0000-0002-4796-8356)
- Andrea Cominola (ORCID: https://orcid.org/0000-0002-4031-4704)
- Bernd Lindemann (ORCID: https://orcid.org/0000-0003-1567-6743)
- Ella Steins
- Johannes Koslowski (ORCID: https://orcid.org/0000-0003-1092-8059)
- Enrique Campbell
- Jonas Schorr
- Sophie Persigehl
- Jens Kley-Holsteg
Institutions
- Einstein Center Digital Future (DE)
- Berlin Centre of Competence for Water (DE)
- Technische Universität Berlin (DE)
Publication Details
- Published
- 2024-11-20
- DOI
- https://doi.org/10.3390/engproc2024069207
- Primary Topic
- Water Systems and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00