Humidity monitoring in concrete using Bluetooth Low Energy sensors

  • The vulnerability of low quality concrete to changing weather conditions is well known. The constant exposure to temperature changes, biological activity, and humidity ends up in damage to buildings and structures which contain this material. It is therefore necessary to take preventive measures to control the extent of the damage done by weathering and possible penetration of adverse chemicals into structures which need public safety. The Federal Institute for Materials Research and Testing (BAM), in cooperation with the small enterprise LinTech GmbH, is working on a project to monitor humidity changes in concrete by analyzing the changes in signal strength (RSSI) from Bluetooth Low Energy sensors. In this paper, we show results which demonstrate the influence of changing water content in concrete on the received RSSI. We observed that as water content in concrete decreases, the received RSSI improves. However, the damping effect is not linearly proportional to water content, ratherThe vulnerability of low quality concrete to changing weather conditions is well known. The constant exposure to temperature changes, biological activity, and humidity ends up in damage to buildings and structures which contain this material. It is therefore necessary to take preventive measures to control the extent of the damage done by weathering and possible penetration of adverse chemicals into structures which need public safety. The Federal Institute for Materials Research and Testing (BAM), in cooperation with the small enterprise LinTech GmbH, is working on a project to monitor humidity changes in concrete by analyzing the changes in signal strength (RSSI) from Bluetooth Low Energy sensors. In this paper, we show results which demonstrate the influence of changing water content in concrete on the received RSSI. We observed that as water content in concrete decreases, the received RSSI improves. However, the damping effect is not linearly proportional to water content, rather exponentially proportional. This suggests that changes in the received signal strength are more easily observed when water content in concrete is higher. Finally, we reconstructed a RSSI distribution map using computed tomography.zeige mehrzeige weniger

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Metadaten
Autor*innen:Filipe Jorge Santos Ferreira Adão, Helmerich Rosemarie, Voigt Gerrit, Moldenhauer Laura, Patrick P. NeumannORCiD
Persönliche Herausgeber*innen:M. Motavalli, A. Ilki
Dokumenttyp:Beitrag zu einem Tagungsband
Veröffentlichungsform:Graue Literatur
Sprache:Englisch
Titel des übergeordneten Werkes (Englisch):SMAR 2017
Jahr der Erstveröffentlichung:2017
Herausgeber (Institution):Eidgenössische Materialprüfungsanstalt (EMPA)
Verlagsort:Zurich, Switzerland
Jahrgang/Band:2017
Erste Seite:1
Letzte Seite:8
DDC-Klassifikation:Naturwissenschaften und Mathematik / Chemie / Analytische Chemie
Freie Schlagwörter:Bluetooth Low Energy Computed Tomography; Computed Tomography; Concrete; Monitoring; RSSI; Water
Veranstaltung:SMAR 2017
Veranstaltungsort:Zurich, Switzerland
Beginndatum der Veranstaltung:13.09.2017
Enddatum der Veranstaltung:15.09.2017
URL:http://www.smar-conferences.org/smar/SMAR_2017_Proceedings/papers/153.pdf
Verfügbarkeit des Dokuments:Datei im Netzwerk der BAM verfügbar ("Closed Access")
Datum der Freischaltung:04.01.2018
Referierte Publikation:Nein
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