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Wireless Sensor Networks Composed of Standard Microcomputers and Smartphones for Applications in Structural Health Monitoring
- Wireless sensor networks have attracted great attention for applications in structural health monitoring due to their ease of use, flexibility of deployment, and cost-effectiveness. This paper presents a software framework for WiFi-based wireless sensor networks composed of low-cost mass market single-board computers. A number of specific system-level software components were developed to enableWireless sensor networks have attracted great attention for applications in structural health monitoring due to their ease of use, flexibility of deployment, and cost-effectiveness. This paper presents a software framework for WiFi-based wireless sensor networks composed of low-cost mass market single-board computers. A number of specific system-level software components were developed to enable robust data acquisition, data processing, sensor network communication, and timing with a focus on structural health monitoring (SHM) applications. The framework was validated on Raspberry Pi computers, and its performance was studied in detail. The paper presents several characteristics of the measurement quality such as sampling accuracy and time synchronization and discusses the specific limitations of the system. The implementation includes a complementary smartphone application that is utilized for data acquisition, visualization, and analysis. A prototypical implementation further demonstrates the feasibility of integrating smartphones as data acquisition nodes into the network, utilizing their internal sensors. The measurement system was employed in several monitoring campaigns, three of which are documented in detail. The suitability of the system is evaluated based on comparisons of target quantities with reference measurements. The results indicate that the presented system can robustly achieve a measurement performance commensurate with that required in many typical SHM tasks such as modal identification. As such, it represents a cost-effective alternative to more traditional monitoring solutions.…
Dokumentart: | Artikel (Wissenschaftlicher) |
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Verfasserangaben: | Univ.-Prof. Guido MorgenthalORCiDGND, B.Sc. Jan Frederick EickORCiD, M.Sc. Sebastian RauORCiDGND, M.Sc. Jakob TarabenORCiD |
DOI (Zitierlink): | https://doi.org/10.3390/s19092070Zitierlink |
URN (Zitierlink): | https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20190514-39123Zitierlink |
URL: | https://www.mdpi.com/1424-8220/19/9/2070 |
Titel des übergeordneten Werkes (Englisch): | Sensors - Special Issue Selected Papers from 7th Asia-Pacific Workshop on Structural Health Monitoring |
Verlag: | MDPI |
Sprache: | Englisch |
Datum der Veröffentlichung (online): | 03.05.2019 |
Datum der Erstveröffentlichung: | 03.05.2019 |
Datum der Freischaltung: | 14.05.2019 |
Veröffentlichende Institution: | Bauhaus-Universität Weimar |
Institute und Partnereinrichtugen: | Fakultät Bauingenieurwesen / Professur Modellierung und Simulation - Konstruktion |
Jahrgang: | 2019 |
Ausgabe / Heft: | Volume 19, Issue 9, 2070 |
Seitenzahl: | 22 |
Freies Schlagwort / Tag: | OA-Publikationsfonds2019 Raspberry Pi; Smartphones; Vibration measurements; Wireless sensor network |
GND-Schlagwort: | Structural Health Monitoring; Mikrocomputer; Smartphone; Schwingungsmessung |
DDC-Klassifikation: | 500 Naturwissenschaften und Mathematik |
600 Technik, Medizin, angewandte Wissenschaften | |
BKL-Klassifikation: | 54 Informatik / 54.26 Mikrocomputer |
56 Bauwesen / 56.47 Gebäudeunterhaltung, Gebäudesanierung, Bauschäden | |
Open Access Publikationsfonds: | Open-Access-Publikationsfonds 2019 |
Lizenz (Deutsch): | Creative Commons 4.0 - Namensnennung (CC BY 4.0) |