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Autonomous mobile robot search strategy for automated compressed air leakage detection

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dc.contributor.authorRichard, Philipp
dc.contributor.authorDudhagara, Satyam Uttamkumar
dc.contributor.authorKunz, Leonhard
dc.contributor.authorPlociennik, Christiane
dc.contributor.authorRuskowski, Martin
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorGergeleit, Martin
dc.contributor.editorMartin, Ludger
dc.date.accessioned2024-10-21T18:24:34Z
dc.date.available2024-10-21T18:24:34Z
dc.date.issued2024
dc.description.abstractCompressed air is an important work medium for transfer of energy in many industrial processes. The inefficient physical processes used to produce it make compressed air one of the most expensive energy sources in supply systems. Even small leakages can over time result in high energy losses and costs if not detected and fixed timely. In addition, finding leakages in such systems is very time-consuming and expensive as the whole network of pipes must be examined to localize defects. This paper presents the concept of a targeted detection approach for effectively detecting and locating Compressed Air Leakages semi-autonomously through the usage of an Autonomous Mobile Robot as a mobile sensor. It describes how the detection process in an unknown environment can be rapidly accelerated by constraining the search space for the detection of leakages. The process utilizes expert knowledge, object detection and scene interpretation techniques to constrain the search space. The results obtained are integrated into an existing map of the environment and enable targeted repair actions. The evaluation includes an analysis of the individual phases of the approach, proposes further evaluation scenarios, and compares the efficiency of the approach with conventional manual leakage detection.en
dc.identifier.doi10.18420/inf2024_98
dc.identifier.eissn2944-7682
dc.identifier.isbn978-3-88579-746-3
dc.identifier.issn2944-7682
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45263
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2024
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-352
dc.subjectAutonomous Mobile Robot
dc.subjectCompressed Air Leakage Detection
dc.subjectSearch Strategy
dc.subjectObject Recognition
dc.subjectResource efficiency
dc.titleAutonomous mobile robot search strategy for automated compressed air leakage detectionen
dc.typeText/Conference Paper
gi.citation.endPage1111
gi.citation.publisherPlaceBonn
gi.citation.startPage1099
gi.conference.date24.-26. September 2024
gi.conference.locationWiesbaden
gi.conference.sessiontitle5. Workshop "KI in der Umweltinformatik" (KIU-2024)

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