Sudden Event Monitoring of Civil Infrastructure Using Demand-Based Wireless Smart Sensors

Wireless smart sensors (WSS) have been proposed as an effective means to reduce the high cost of wired structural health monitoring systems. However, many damage scenarios for civil infrastructure involve sudden events, such as strong earthquakes, which can result in damage or even failure in a matter of seconds. Wireless monitoring systems typically employ duty cycling to reduce power consumption; hence, they will miss such events if they are in power-saving sleep mode when the events occur. This paper develops a demand-based WSS to meet the requirements of sudden event monitoring with minimal power budget and low response latency, without sacrificing high-fidelity measurements or risking a loss of critical information. In the proposed WSS, a programmable event-based switch is implemented utilizing a low-power trigger accelerometer; the switch is integrated in a high-fidelity sensor platform. Particularly, the approach can rapidly turn on the WSS upon the occurrence of a sudden event and seamlessly transition from low-power acceleration measurement to high-fidelity data acquisition. The capabilities of the proposed WSS are validated through laboratory and field experiments. The results show that the proposed approach is able to capture the occurrence of sudden events and provide high-fidelity data for structural condition assessment in an efficient manner.

[1]  Jerome P. Lynch,et al.  Development of an extensible dual-core wireless sensing node for cyber-physical systems , 2014, Smart Structures.

[2]  Toula Onoufriou,et al.  Layout optimization of wireless sensor networks for structural health monitoring , 2014 .

[3]  Yacine Challal,et al.  Energy efficiency in wireless sensor networks: A top-down survey , 2014, Comput. Networks.

[4]  Gul Agha,et al.  Flexible smart sensor framework for autonomous structural health monitoring , 2010 .

[5]  Mehmet Çelebi,et al.  Real-Time Seismic Monitoring of the New Cape Girardeau Bridge and Preliminary Analyses of Recorded Data: An Overview , 2006 .

[6]  Jiun Ting Ding,et al.  Developing an energy-efficient and low-delay wake-up wireless sensor network-based structural health monitoring system using on-site earthquake early warning system and wake-on radio , 2019 .

[7]  Jiannong Cao,et al.  TelosW: Enabling ultra-low power wake-on sensor network , 2010, 2010 Seventh International Conference on Networked Sensing Systems (INSS).

[8]  Shamim N. Pakzad,et al.  Agility of wireless sensor networks for earthquake monitoring of bridges , 2009, 2009 Sixth International Conference on Networked Sensing Systems (INSS).

[9]  Vincenzo Gattulli,et al.  Long-term structural monitoring of the damaged Basilica S. Maria di Collemaggio through a low-cost wireless sensor network , 2015 .

[10]  Lothar Thiele,et al.  Poster Abstract: A Heterogeneous System Architecture for Event-Triggered Wireless Sensing , 2016, 2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).

[11]  Billie F. Spencer,et al.  Solar Energy Harvesting and Software Enhancements for Autonomous Wireless Smart Sensor Networks , 2010 .

[12]  Billie F. Spencer,et al.  Railroad bridge monitoring using wireless smart sensors , 2017 .

[13]  A C Garner,et al.  The wreck of Amtrak's Sunset Limited: news coverage of a mass transport disaster. , 1997, Disasters.

[14]  Billie F. Spencer,et al.  Feasibility Study of Micro-Wind Turbines for Powering Wireless Sensors on a Cable-Stayed Bridge , 2012 .

[15]  Ting Zhu,et al.  Correlated flooding in low-duty-cycle wireless sensor networks , 2011, 2011 19th IEEE International Conference on Network Protocols.

[16]  Gul Agha,et al.  Next Generation Wireless Smart Sensors Toward Sustainable Civil Infrastructure , 2017 .

[17]  Masaaki Saruta,et al.  Application of earthquake early warning system to seismic-isolated buildings. , 2009 .

[18]  Billie F. Spencer,et al.  Development of RTOS-based wireless SHM system: Benefits in applications , 2016 .

[19]  David E. Culler,et al.  Telos: enabling ultra-low power wireless research , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[20]  Gul Agha,et al.  Structural health monitoring of a cable-stayed bridge using smart sensor technology: deployment and evaluation , 2010 .

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

[22]  Ye Liu,et al.  EcoVibe: On-Demand Sensing for Railway Bridge Structural Health Monitoring , 2019, IEEE Internet of Things Journal.

[23]  Zhu Han,et al.  Wireless Networks With RF Energy Harvesting: A Contemporary Survey , 2014, IEEE Communications Surveys & Tutorials.

[24]  Zhu Han,et al.  Resource allocation in wireless networks with RF energy harvesting and transfer , 2014, IEEE Network.

[25]  Jr B. F. Spencer,et al.  Structural Health Monitoring Using Smart Sensors , 2007 .

[26]  Lennart Elfgren,et al.  Event-based strain monitoring on a railway bridge with a wireless sensor network , 2009 .

[27]  S. Pakzad,et al.  Network architecture design of an agile sensing system with sandwich wireless sensor nodes , 2012, Smart Structures.