Active Sensing Platform for Wireless Structural Health Monitoring

This paper presents SHiMmer, a wireless platform for sensing and actuation that combines localized processing with energy harvesting to provide long-lived structural health monitoring. The life-cycle of the node is significantly extended by the use of super-capacitors for energy storage instead of batteries. During this period the node is expected to work completely maintenance-free. The node is capable of harvesting up to 780 J per day. This makes it completely self- sufficient while employed in real structural health monitoring applications. Unlike other sensor networks that periodically monitor a structure and route information to a base station, our device acquires the data and processes it locally after being radio-triggered by an external agent. The localized processing allows us to avoid issues due to network congestion. Our experiments show that its 32- bits computational core can run at 100 MIPS for 15 minutes daily.

[1]  John A. Stankovic,et al.  Radio-Triggered Wake-Up for Wireless Sensor Networks , 2005, Real-Time Systems.

[2]  K. Chintalapudi,et al.  Structural damage detection and localization using NETSHM , 2006, 2006 5th International Conference on Information Processing in Sensor Networks.

[3]  Garnett E. Simmers,et al.  Improved Piezoelectric Self-sensing Actuation , 2004 .

[4]  P. Cawley,et al.  The interaction of Lamb waves with defects , 1992, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[5]  T. A. Smith,et al.  Using supercapacitors to improve battery performance , 2002, 2002 IEEE 33rd Annual IEEE Power Electronics Specialists Conference. Proceedings (Cat. No.02CH37289).

[6]  Charles R. Farrar,et al.  A miniaturized electromechanical impedance-based node for the wireless interrogation of structural health , 2006, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[7]  Shirley J. Dyke,et al.  Experimental Phase II of the Structural Health Monitoring Benchmark Problem , 2003 .

[8]  A. M. R. Ribeiro,et al.  A review of vibration-based structural health monitoring with special emphasis on composite materials , 2006 .

[9]  Robert C. Wolpert,et al.  A Review of the , 1985 .

[10]  Vijay Raghunathan,et al.  Design and Power Management of Energy Harvesting Embedded Systems , 2006, ISLPED'06 Proceedings of the 2006 International Symposium on Low Power Electronics and Design.

[11]  Wei Hong,et al.  Proceedings of the 5th Symposium on Operating Systems Design and Implementation Tag: a Tiny Aggregation Service for Ad-hoc Sensor Networks , 2022 .

[12]  Andreas Terzis,et al.  Sensor networks for landslide detection , 2005, SenSys '05.

[13]  David E. Culler,et al.  Perpetual environmentally powered sensor networks , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[14]  D. Massicotte,et al.  Wavelet-transform-based method of analysis for Lamb-wave ultrasonic NDE signals , 1999, IMTC/99. Proceedings of the 16th IEEE Instrumentation and Measurement Technology Conference (Cat. No.99CH36309).

[15]  Deborah Estrin,et al.  A wireless sensor network For structural monitoring , 2004, SenSys '04.

[16]  Prasad Enjeti,et al.  An approach to improve battery run-time in mobile applications with supercapacitors , 2003, IEEE 34th Annual Conference on Power Electronics Specialist, 2003. PESC '03..

[17]  Pai H. Chou,et al.  Everlast: Long-life, Supercapacitor-operated Wireless Sensor Node , 2006, ISLPED'06 Proceedings of the 2006 International Symposium on Low Power Electronics and Design.

[18]  Jerome P. Lynch,et al.  The Design of a Wireless Sensing Unit for Structural Health Monitoring , 2001 .

[19]  Andrew B. Thien.  Pipeline Structural Health Monitoring Using Macro-fiber Composite Active Sensors , 2006 .

[20]  Shivakant Mishra,et al.  CenWits: a sensor-based loosely coupled search and rescue system using witnesses , 2005, SenSys '05.

[21]  G. Hayward,et al.  Comparison of different piezoelectric materials for the design of embedded transducers for structural health monitoring applications , 2000, 2000 IEEE Ultrasonics Symposium. Proceedings. An International Symposium (Cat. No.00CH37121).

[22]  Deborah Estrin,et al.  Directed diffusion for wireless sensor networking , 2003, TNET.

[23]  Wei Hong,et al.  TinyDB: an acquisitional query processing system for sensor networks , 2005, TODS.

[24]  Pai H. Chou,et al.  AmbiMax: Autonomous Energy Harvesting Platform for Multi-Supply Wireless Sensor Nodes , 2006, 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks.

[25]  Mani B. Srivastava,et al.  Design considerations for solar energy harvesting wireless embedded systems , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[26]  David E. Culler,et al.  Active sensor networks , 2005, NSDI.

[27]  E. Lehfeldt,et al.  Lamb waves and lamination detection , 1967 .

[28]  James Demmel,et al.  Multi-Purpose Wireless Accelerometers for Civil Infrastructure Monitoring , 2005 .

[29]  Grant P. Steven,et al.  VIBRATION-BASED MODEL-DEPENDENT DAMAGE (DELAMINATION) IDENTIFICATION AND HEALTH MONITORING FOR COMPOSITE STRUCTURES — A REVIEW , 2000 .

[30]  Constantinos Soutis,et al.  Damage detection in composite materials using lamb wave methods , 2002 .

[31]  P. Cawley,et al.  The interaction of Lamb waves with delaminations in composite laminates , 1993 .

[32]  Jerome P. Lynch,et al.  Design of a low-power wireless structural monitoring system for collaborative computational algorithms , 2005, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.