Although wireless smart sensor platforms have been available over a decade, only a limited number of full-scale wireless smart sensor–based structural health monitoring implementations have been realized. Most wireless smart sensor platforms that are validated in full-scale implementations have now become obsolete and are no longer commercially available. While wireless sensing capabilities have grown, presenting significant opportunities, obstacles to wide application of wireless smart sensor for structural health monitoring exist both in terms of hardware and software. This article assesses the efficacy of the Xnode, a new wireless platform whose development has been driven by structural health monitoring requirements, as well as lessons learned from several full-scale wireless smart sensor deployments. The capabilities of the platform are evaluated in comparison with other commercial wireless smart sensors, in terms of hardware, software, and mechanical design. Extensive laboratory and field testing is employed to validate its performance on three aspects: fidelity of data acquisition, reliability of wireless communication, and efficiency of power management. Test results demonstrate the capabilities of the Xnode to support full-scale, high-fidelity data acquisition for civil infrastructure. In addition, the new sensor platform provides several significant benefits to extend the use of wireless smart sensors to a broader class of structural health monitoring applications, such as sudden event monitoring and real-time and control applications.
AASHTO (2018) Manual for Bridge Evaluation. 3rd ed.Washington, DC: AASHTO.
2.
Abdel-GhaffarAMScanlanRH (1985) Ambient vibration studies of golden gate bridge: I. Suspended structure. Journal of Engineering Mechanics111(4): 463–482.
3.
AdlerRFlaniganMHuangJ, et al. (2005) Intel mote 2: an advanced platform for demanding sensor network applications. In: Proceedings of the 3rd international conference on embedded networked sensor systems, San Diego, CA, 2–4 November, pp. 298–298. New York: ACM.
4.
American Society of Civil Engineers (ASCE) (2017) Report card for America’s infrastructure. Technical report, ASCE, Reston, VA.
5.
Austrian Research Society (2012) Quality Assurance for Structural Maintenance, Surveillance, Checking and Assessment of Bridges and Tunnels, Monitoring of Bridges and Other Engineering Structures (in German).
CaicedoJMClaytonEDykeSJ, et al. (2002) Structural health monitoring for large structures using ambient vibrations. In: Proceedings of the ICANCEER conference, Hong Kong, 15–20 August.
8.
CelebiM (2006) Real-time seismic monitoring of the new cape Girardeau bridge and preliminary analyses of recorded data: an overview. Earthquake Spectra22: 609.
9.
ChengLPakzadSN (2009) Agility of wireless sensor networks for earthquake monitoring of bridges. In: 2009 sixth international conference on networked sensing systems (INSS), Pittsburgh, PA, 17–19 June. New York: IEEE.
10.
Crossbow (2004) MICAz MPR2400CA Data Sheet. Sunnyvale, CA: Crossbow.
11.
DongXJChenSZhuDP, et al. (2014) High-speed heterogeneous data acquisition using Martlet—a next-generation wireless sensing node. Structure8: 9.
12.
FuYMechitovKAHoskereV, et al. (2016). Development of RTOS-based wireless SHM system: benefits in applications. In: International conference on smart infrastructure and construction, Cambridge, 27–29 June.
13.
FuYZhuLHoangT, et al. (2018) Demand-based wireless smart sensors for earthquake monitoring of civil infrastructure. In: 2018 sensors and smart structures technologies for civil, mechanical, and aerospace systems, vol. 10598, Denver, CO, 4–8 March, p. 105980Z. Bellingham, WA: International Society for Optics and Photonics.
14.
GaglioneARodenas-HerraizDJiaY, et al. (2018) Energy neutral operation of vibration energy-harvesting sensor networks for bridge applications. In: Proceedings of the 2018 international conference on embedded wireless systems and networks (EWSN), Madrid, 14–16 February, pp. 1–12. New York: ACM.
15.
GOST R 53778-2010 (2010). Building and structures, technical inspections and monitoring regulations (English translation).
16.
HillJLCullerDE (2002) MICA: a wireless platform for deeply embedded networks. IEEE Micro22: 12–24.
17.
JoHSimSHNagayamaT, et al. (2011) Development and application of high-sensitivity wireless smart sensors for decentralized stochastic modal identification. Journal of Engineering Mechanics138(6): 683–694.
18.
JT/T 1037-2016 (2016) Technical standard for structural safety monitoring systems of highway bridges (in Chinese).
19.
KaneMZhuDHiroseM, et al. (2014) Development of an extensible dual-core wireless sensing node for cyber-physical systems. In: 2014 sensors and smart structures technologies for civil, mechanical, and aerospace systems, vol. 9061, San Diego, CA, 9–13 March, p. 90611U. Bellingham, WA: International Society for Optics and Photonics.
20.
KlingRAdlerRHuangJ, et al. (2005) Intel Mote-based sensor networks. Structural Control and Health Monitoring12(3–4): 469–479.
21.
KlingRM (2003) Intel Mote: an enhanced sensor network node. In: Proceedings of the international workshop on advanced sensors, structural health monitoring and smart structures, Tokyo, Japan, 10–11 November.
22.
LeanderJKaroumiRRohnerC, et al. (2019) Smart condition assessment, surveillance and management of critical bridges. In: Proceedings of the International Conference on Health Monitoring of Civil & Maritime Structures. London, UK.
23.
LevisPMaddenSPolastreJ, et al. (2005) TinyOS: an operating system for sensor networks. In: WeberWRabaeyJMAartsE (eds) Ambient Intelligence. Berlin; Heidelberg: Springer, pp. 115–148.
LindermanLEMechitovKASpencerBFJr (2013) TinyOS-based real-time wireless data acquisition framework for structural health monitoring and control. Structural Control and Health Monitoring20(6): 1007–1020.
27.
LindermanLERiceJABarotS, et al. (2010) Characterization of wireless smart sensor performance. Journal of Engineering Mechanics136(12): 1435–1443.
28.
LiuXDongXWangY (2016) Field testing of Martlet wireless sensing system on an in-service pre-stressed concrete highway bridge. In: 2016 health monitoring of structural and biological systems, vol. 9805, Las Vegas, NV, 20–24 March, p. 980522. Bellingham, WA: International Society for Optics and Photonics.
29.
LynchJPLawKHKiremidjianAS, et al. (2001) The design of a wireless sensing unit for structural health monitoring. In: Proceeding of the 3rd international workshop on structural health monitoring, Stanford, CA, 12–14 September.
MoreuFLiXLiS, et al. (2018) Technical specifications of structural health monitoring for highway bridges: New Chinese structural health monitoring code. Frontiers in Built Environment4: 10.
32.
NagayamaTSpencerBFJr (2007) Structural Health Monitoring Using Smart Sensors. Urbana, IL: Newmark Structural Engineering Laboratory, University of Illinois at Urbana-Champaign.
33.
NayeriRDTasbihgooFWahbehM, et al. (2009) Study of time-domain techniques for modal parameter identification of a long suspension bridge with dense sensor arrays. Journal of Engineering Mechanics135(7): 669–683.
34.
NiYQYeXWKoJM (2010) Monitoring-based fatigue reliability assessment of steel bridges: analytical model and application. Journal of Structural Engineering136(12): 1563–1573.
35.
RiceJASpencerBFJr (2009) Flexible Smart Sensor Framework for Autonomous Full-scale Structural Health Monitoring. Urbana, IL: Newmark Structural Engineering Laboratory, University of Illinois at Urbana-Champaign.
36.
RiceJAMechitovKSimSH, et al. (2010) Flexible smart sensor framework for autonomous structural health monitoring. Smart Structures and Systems6(5–6): 423–438.
37.
SpencerBFJrJoHMechitovKA, et al. (2016a) Recent advances in wireless smart sensors for multi-scale monitoring and control of civil infrastructure. Journal of Civil Structural Health Monitoring6(1): 17–41.
38.
SpencerBFJrParkJWMechitovKA, et al. (2016b) Next generation wireless smart sensors toward sustainable civil infrastructure. In: Proceedings of the sustainable civil engineering structures and construction materials (SCESCM 2016), Bali, Indonesia, 5–7 September.
39.
SpencerBFJrRuiz SandovalMEKurataN (2004) Smart sensing technology: opportunities and challenges. Structural Control and Health Monitoring11(4): 349–368.
40.
StraserEGKiremidjianASMengTH, et al. (1998) A modular, wireless network platform for monitoring structures. In: 16th international modal analysis conference, Santa Barbara, CA, 2–5 February, pp. 450–456. Bellingham, WA: International Society for Optics and Photonics.
SwartzRAJungDLynchJP, et al. (2005) Design of a wireless sensor for scalable distributed in-network computation in a structural health monitoring system. In: 5th international workshop on structural health monitoring, Stanford, CA, 12–14 September.
43.
The Illinois Structural Health Monitoring Project (ISHMP) (2008) Available at: http://shm.cs.uiuc.edu/ (accessed 31 December 2018).
44.
WangYLynchJPLawKH (2007) A wireless structural health monitoring system with multithreaded sensing devices: design and validation. Structure and Infrastructure Engineering3(2): 103–120.
45.
WongKY (2004) Instrumentation and health monitoring of cable-supported bridges. Structural Control and Health Monitoring11(2): 91–124.
46.
WongKY (2007) Design of a structural health monitoring system for long-span bridges. Structure and Infrastructure Engineering3: 169–185.
47.
YeHM (2017) The state council seriously dealt with the collapse of the “11.24” cooling tower construction platform of Jiangxi Fengcheng Power Plant. Xinhua News Agency. Available at: http://www.xinhuanet.com/politics/2017-09/15/c_1121670050.htm (accessed 31 December 2018).
48.
ZhangLBrinckerRAndersenP (2001) Modal indicators for operational modal identification. In: 19th international modal analysis conference (IMAC), Kissimmee, FL, 5–8 February.
49.
ZhaoFGuibasL (2004) Wireless Sensor Networks: An Information Processing Approach. San Francisco, CA: Morgan Kaufman.
50.
ZhuLFuYChowR, et al. (2018) Development of a high-sensitivity wireless accelerometer for structural health monitoring. Sensors18(1): 262.
