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ECOVIBE:: On-Demand Sensing for Railway Bridge Structural Health Monitoring
College of Engineering, Nanjing Agricultural University, Nanjing, China.
RISE SICS, Kista, Sweden.ORCID iD: 0000-0002-2586-8573
RISE SICS, Kista, Sweden.
RISE SICS, Kista, Sweden.
2019 (English)In: IEEE Internet of Things Journal, ISSN 2327-4662, Vol. 6, no 1, p. 1068-1078Article in journal (Refereed) Published
Abstract [en]

Energy efficient sensing is one of the main objectives in the design of networked embedded monitoring systems. However, existing approaches such as duty cycling and ambient energy harvesting face challenges in railway bridge health monitoring applications due to the unpredictability of train passages and insufficient ambient energy around bridges. This paper presents ECOVIBE (Eco-friendly Vibration), an on-demand sensing system that automatically turns on itself when a train passes on the bridge and adaptively powers itself off after finishing all tasks. After that, it goes into an inactive state with near-zero power dissipation. ECOVIBE achieves these by: Firstly, a novel, fully passive event detection circuit to continuously detect passing trains without consuming any energy. Secondly, combining train-induced vibration energy harvesting with a transistor-based load switch, a tiny amount of energy is sufficient to keep ECOVIBE active for a long time. Thirdly, a passive adaptive off control circuit is introduced to quickly switch off ECOVIBE. Also this circuit does not consume any energy during inactivity periods. We present the prototype implementation of the proposed system using commercially available components and evaluate its performance in real-world scenarios. Our results show that ECOVIBE is effective in railway bridge health monitoring applications.

Place, publisher, year, edition, pages
2019. Vol. 6, no 1, p. 1068-1078
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:uu:diva-366921DOI: 10.1109/JIOT.2018.2867086ISI: 000459709500090OAI: oai:DiVA.org:uu-366921DiVA, id: diva2:1265993
Funder
VinnovaAvailable from: 2018-11-26 Created: 2018-11-26 Last updated: 2019-05-15Bibliographically approved

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Voigt, Thiemo

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