A SERVICE-OREINTED ARCHITECTURE FOR STRUCTURAL HEALTH MONITORING USING SMART SENSORS

Structural Health Monitoring (SHM) can be an important tool for integrity assessment of structures after extreme loading conditions, as well for ongoing maintenance of aging infrastructure. SHM gives insight into a structures’ response during an earthquake event which can in turn provide valuable information on the post-earthquake condition of the structure. The ultimate goals of implementing an SHM system are to improve infrastructure maintenance, increase public safety, and minimize the economic impact of an earthquake or other extreme loading event by streamlining repair and retrofit measures. Networks of wireless, smart sensors offer promise for accurate and continuous structural monitoring using a dense array of inexpensive sensors. Acquiring pertinent information from these networks is accomplished by leveraging the onboard processing capability of the sensor nodes to implement distributed damage detection algorithms. One of the major roadblocks to achieving such a system is the magnitude and complexity of the required software development. Service-oriented architecture (SOA) can significantly simplify this process by offering a modular, reusable and extensible approach to software development. Based on this approach, we have created an open-source toolkit for the development of SHM systems deployed on smart sensors that is available for broad use. This software facilitates the development of a variety of SHM applications using smart sensors and can be further expanded for other similar challenges.

[1]  Munindar P. Singh,et al.  Service-Oriented Computing: Semantics, Processes, Agents , 2010 .

[2]  D. Bernal.  Flexibility-Based Damage Localization from Stochastic Realization Results , 2006 .

[3]  Sukun Kim,et al.  Health Monitoring of Civil Infrastructures Using Wireless Sensor Networks , 2007, 2007 6th International Symposium on Information Processing in Sensor Networks.

[4]  Jie Liu,et al.  Towards semantic services for sensor-rich information systems , 2005, 2nd International Conference on Broadband Networks, 2005..

[5]  David E. Culler,et al.  TinyOS: An Operating System for Sensor Networks , 2005, Ambient Intelligence.

[6]  Gul Agha,et al.  Middleware services for structural health monitoring using smart sensors , 2009 .

[7]  Tao Gu,et al.  A service-oriented middleware for building context-aware services , 2005, J. Netw. Comput. Appl..

[8]  G. Agha,et al.  Smart Sensing Technology : A New Paradigm for Structural Health Monitoring , 2007 .

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

[10]  Sung-Han Sim,et al.  Issues in structural health monitoring employing smart sensors , 2007 .

[11]  Billie F. Spencer,et al.  Structural Health Monitoring Strategies for Smart Sensor Networks , 2008 .

[12]  Reza Razavi,et al.  Architecture design principles to support adaptive service orchestration in WSN applications , 2007, SIGBED.

[13]  Wei-Tek Tsai,et al.  Service-oriented system engineering: a new paradigm , 2005, IEEE International Workshop on Service-Oriented System Engineering (SOSE'05).

[14]  Billie F. Spencer,et al.  Smart sensing technology: opportunities and challenges , 2004 .

[15]  Thomas G. Carne,et al.  The Natural Excitation Technique (NExT) for modal parameter extraction from operating wind turbines , 1993 .

[16]  Reza Razavi,et al.  Ambiance: A Mobile Agent Platform for End-User Programmable Ambient Systems , 2007, AITamI@IJCAI.

[17]  Jer-Nan Juang,et al.  An eigensystem realization algorithm for modal parameter identification and model reduction. [control systems design for large space structures] , 1985 .

[18]  Jerome P. Lynch,et al.  A summary review of wireless sensors and sensor networks for structural health monitoring , 2006 .

[19]  C. R. Farrar,et al.  Vibration-based health monitoring and model refinement of civil engineering structures , 1997 .