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Wireless Sensor Networks Composed of Standard Microcomputers and Smartphones for Applications in Structural Health Monitoring
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| Veröffentlicht in: | Sensors Bd. 19 (2019), 9, Artikel 2070, 22 Seiten |
|---|---|
| Personen und Körperschaften: | , , , |
| Titel: | Wireless Sensor Networks Composed of Standard Microcomputers and Smartphones for Applications in Structural Health Monitoring/ Guido Morgenthal, Jan Frederick Eick, Sebastian Rau, Jakob Taraben |
| Format: | E-Book-Kapitel |
| Sprache: | Englisch |
| veröffentlicht: |
03.05.2019
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| Gesamtaufnahme: |
: Sensors, Bd. 19 (2019), 9, Artikel 2070, 22 Seiten
, volume:19 |
| Schlagwörter: | |
| Quelle: | Verbunddaten SWB Lizenzfreie Online-Ressourcen |
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| 520 | |a 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 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. | ||
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| 650 | 4 | |a wireless sensor networks | |
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| 700 | 1 | |a Taraben, Jakob |e VerfasserIn |4 aut | |
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| contents | 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 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. |
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| spelling | Morgenthal, Guido VerfasserIn (DE-588)1080960317 (DE-627)845446789 (DE-576)453849954 aut, Wireless Sensor Networks Composed of Standard Microcomputers and Smartphones for Applications in Structural Health Monitoring Guido Morgenthal, Jan Frederick Eick, Sebastian Rau, Jakob Taraben, 03.05.2019, Illustrationen, Diagramme, Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, 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 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., Raspberry Pi, smartphones, wireless sensor networks, vibration measurements, Mikrocomputer, Schwingungsmessung, Eick, Jan Frederick VerfasserIn aut, Rau, Sebastian VerfasserIn (DE-588)1186073365 (DE-627)1665333847 aut, Taraben, Jakob VerfasserIn aut, Enthalten in Sensors Basel : MDPI, 2001 Bd. 19 (2019), 9, Artikel 2070, 22 Seiten Online-Ressource (DE-627)331640910 (DE-600)2052857-7 (DE-576)281205191 1424-8220 nnns, volume:19 year:2019 number:9 pages:22, https://doi.org/10.3390/s19092070 Verlag Resolving-System kostenfrei Volltext, https://www.mdpi.com/1424-8220/19/9/2070 Verlag Resolving-System kostenfrei Volltext, https://www.mdpi.com/1424-8220/19/9/2070 LFER, LFER 2019-05-29T00:00:00Z |
| spellingShingle | Morgenthal, Guido, Eick, Jan Frederick, Rau, Sebastian, Taraben, Jakob, 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 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., Raspberry Pi, smartphones, wireless sensor networks, vibration measurements, Mikrocomputer, Schwingungsmessung |
| title | Wireless Sensor Networks Composed of Standard Microcomputers and Smartphones for Applications in Structural Health Monitoring |
| title_auth | Wireless Sensor Networks Composed of Standard Microcomputers and Smartphones for Applications in Structural Health Monitoring |
| title_full | Wireless Sensor Networks Composed of Standard Microcomputers and Smartphones for Applications in Structural Health Monitoring Guido Morgenthal, Jan Frederick Eick, Sebastian Rau, Jakob Taraben |
| title_fullStr | Wireless Sensor Networks Composed of Standard Microcomputers and Smartphones for Applications in Structural Health Monitoring Guido Morgenthal, Jan Frederick Eick, Sebastian Rau, Jakob Taraben |
| title_full_unstemmed | Wireless Sensor Networks Composed of Standard Microcomputers and Smartphones for Applications in Structural Health Monitoring Guido Morgenthal, Jan Frederick Eick, Sebastian Rau, Jakob Taraben |
| title_in_hierarchy | Wireless Sensor Networks Composed of Standard Microcomputers and Smartphones for Applications in Structural Health Monitoring / Guido Morgenthal, Jan Frederick Eick, Sebastian Rau, Jakob Taraben, |
| title_short | Wireless Sensor Networks Composed of Standard Microcomputers and Smartphones for Applications in Structural Health Monitoring |
| title_sort | wireless sensor networks composed of standard microcomputers and smartphones for applications in structural health monitoring |
| topic | Raspberry Pi, smartphones, wireless sensor networks, vibration measurements, Mikrocomputer, Schwingungsmessung |
| topic_facet | Raspberry Pi, smartphones, wireless sensor networks, vibration measurements, Mikrocomputer, Schwingungsmessung |
| url | https://doi.org/10.3390/s19092070, https://www.mdpi.com/1424-8220/19/9/2070 |