Work

iOLE—Human-Centered Software Design for Leakage Detection in Water Distribution Networks

Year: 2024

Type: conference-paper

Abstract: 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.

DOI: 10.3390/engproc2024069207

Authors: Ivo Daniel, David Steffelbauer, Ella Steins, Jonas Schorr, Sophie Persigehl, Enrique Campbell, Johannes Koslowski, Jens Kley-Holsteg, Bernd Lindemann, Andrea Cominola

Institutions: Einstein Center Digital Future, Technische Universität Berlin, Berlin Centre of Competence for Water, Evangelische Kliniken Gelsenkirchen, GS1 Germany

Language: English

Topic: Water Systems and Optimization

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Clean water and sanitation, Industry, innovation and infrastructure

Open Access status: gold

OpenAlex ID: W4404546935

FWCI:

Cites: 8

Cited by:

Related to: 10