EcoVibe: On-Demand Sensing for Railway Bridge Structural Health Monitoring

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 eco-friendly vibration (ECO VIBE), 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. ECO VIBE achieves these by: first, a novel, fully passive event detection circuit to continuously detect passing trains without consuming any energy. Second, combining train-induced vibration energy harvesting with a transistor-based load switch, a tiny amount of energy is sufficient to keep ECO VIBE active for a long time. Third, a passive adaptive off control circuit is introduced to quickly switch off ECO VIBE. 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 ECO VIBE is effective in railway bridge health monitoring applications.

[1]  E. Calossi Research article , 1999 .

[2]  Brian Bell European Railway Bridge Demography : Sustainable Bridges SB-D1.2 , 2004 .

[3]  Kameswari Chebrolu,et al.  Brimon: a sensor network system for railway bridge monitoring , 2008, MobiSys '08.

[4]  Dibin Zhu,et al.  Vibration Energy Harvesting: Machinery Vibration, Human Movement and Flow Induced Vibration , 2011 .

[5]  I. M. Tolentino,et al.  Design, development, and evaluation of a self-powered GPS tracking system for vehicle security , 2012, 2012 IEEE Sensors.

[6]  Lihua Tang,et al.  Powering indoor sensing with airflows: a trinity of energy harvesting, synchronous duty-cycling, and sensing , 2013, SenSys '13.

[7]  Mohammed Ismail,et al.  Characterization of Human Body-Based Thermal and Vibration Energy Harvesting for Wearable Devices , 2014, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

[8]  Victoria J. Hodge,et al.  Wireless Sensor Networks for Condition Monitoring in the Railway Industry: A Survey , 2015, IEEE Transactions on Intelligent Transportation Systems.

[9]  Li Chen,et al.  REACH2-Mote: A Range-Extending Passive Wake-Up Wireless Sensor Node , 2015, TOSN.

[10]  P. Priyanga,et al.  Enabling Smart Cloud Services Through Remote Sensing : An Internet of Everything Enabler , 2015 .

[11]  Xiaodong Wang,et al.  Energy Management and Cross Layer Optimization for Wireless Sensor Network Powered by Heterogeneous Energy Sources , 2014, IEEE Transactions on Wireless Communications.

[12]  Albert Sunny Joint Scheduling and Sensing Allocation in Energy Harvesting Sensor Networks With Fusion Centers , 2016, IEEE Journal on Selected Areas in Communications.

[13]  Qing Yang,et al.  EcoSense: A Hardware Approach to On-Demand Sensing in the Internet of Things , 2016, IEEE Communications Magazine.

[14]  Shaojie Tang,et al.  Enabling Reliable and Network-Wide Wakeup in Wireless Sensor Networks , 2016, IEEE Transactions on Wireless Communications.

[15]  Ilker Demirkol,et al.  Has Time Come to Switch From Duty-Cycled MAC Protocols to Wake-Up Radio for Wireless Sensor Networks? , 2016, IEEE/ACM Transactions on Networking.

[16]  Glauco Feltrin,et al.  A Wireless Sensor Network with Enhanced Power Efficiency and Embedded Strain Cycle Identification for Fatigue Monitoring of Railway Bridges , 2016, J. Sensors.

[17]  A. Seshia,et al.  Twenty-Eight Orders of Parametric Resonance in a Microelectromechanical Device for Multi-band Vibration Energy Harvesting , 2016, Scientific Reports.

[18]  Muhammad Hamad Alizai,et al.  Energy Harvesting and Wireless Transfer in Sensor Network Applications , 2016, ACM Trans. Sens. Networks.

[19]  Rajeev Piyare,et al.  Ultra Low Power Wake-Up Radios: A Hardware and Networking Survey , 2017, IEEE Communications Surveys & Tutorials.

[20]  Glauco Feltrin,et al.  Event‐driven strain cycle monitoring of railway bridges using a wireless sensor network with sentinel nodes , 2017 .

[21]  Yasir Mehmood,et al.  Internet-of-Things-Based Smart Cities: Recent Advances and Challenges , 2017, IEEE Communications Magazine.

[22]  Qing Yang,et al.  Harvest Energy from the Water , 2017, ACM Trans. Embed. Comput. Syst..