A high-frequency sampling monitoring system for environmental and structural applications

Abstract

High-frequency sampling is not only a prerogative of high-energy physics or machinery diagnostic monitoring: critical environmental and structural health monitoring applications also have such a challenging constraint. Moreover, such unique design constraints are often coupled with the requirement of high synchronism among the distributed acquisition units, minimal energy consumption, and large communication bandwidth. Such severe constraints have led scholars to suggest wired centralized monitoring solutions, which have only recently been complemented with wireless technologies. This article suggests a hybrid wireless-wired monitoring system combining the advantages of wireless and wired technologies within a distributed high-frequency-sampling framework. The suggested architecture satisfies the mentioned constraints, thanks to an ad-hoc design of the hardware, the availability of efficient energy management policies, and up-to-date harvesting mechanisms. At the same time, the architecture supports adaptation capabilities by relying on the remote reprogrammability of key application parameters. The proposed architecture has been successfully deployed in the Swiss-Italian Alps to monitor the collapse of rock faces in three geographical areas.

References

1. Akyildiz, I., Su, W., Sankarasubramaniam, Y., and Cayirci, E. 2002. A survey on sensor networks. IEEE Commun. Mag. 40, 8, 102--114.
2. Alippi, C., Boracchi, G., Camplani, R., Marullo, A., and Roveri, M. 2012. A real-time, reprogrammable, intelligent software architecture for high-frequency sampling sensor networks. Tech. rep. Internal Report.
3. Alippi, C., Camplani, R., and Galperti, C. 2007. Lossless compression techniques in wireless sensor networks: Monitoring microacoustic emissions. In Proceedings of the International Workshop on Robotic and Sensors Environments (ROSE'07). IEEE, 1--5.
4. Alippi, C., Camplani, R., Galperti, C., Marullo, A., and Roveri, M. 2010. An hybrid wireless-wired monitoring system for real-time rock collapse forecasting. In Proceedings of the IEEE 7th International Conference on Mobile Adhoc and Sensor Systems (MASS). IEEE, 224--231.
5. Alippi, C. and Galperti, C. 2008. An adaptive system for optimal solar energy harvesting in wireless sensor network nodes. IEEE Tran. Circuits Syst. I: Regular Papers 55, 6, 1742--1750.
6. Basharat, A., Catbas, N., and Shah, M. 2005. A framework for intelligent sensor network with video camera for structural health monitoring of bridges. In Proceedings of the 3rd IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom'05). IEEE, 385--389.
7. Boller, C., Chang, F., and Fujino, Y. 2009. Encyclopedia of Structural Health Monitoring. Wiley, Hoboken, NJ.
8. Caicedo, J., Marulanda, J., Thomson, P., and Dyke, S. 2002. Monitoring of bridges to detect changes in structural health. In Proceedings of the American Control Conference. Vol. 1. IEEE, 453--458.
9. CrossBow. 2009. http://www.xbow.com/.
10. Dell'Acqua, A., Hansen, M., Ikinen, S., Lofstedt, B., Vanuxem, J., Svensson, C., Yuan, J., Hentzell, H., Del Buono, L., David, J., Genat, J., Lebbolo, H., LeDortz, O., Nayman, P., Savoy-Navarro, A., Zitoun, R., Alippi, C., Breveglieri, L., Dadda, L., Piuri, V., Salice, F., Sami, M., Stefanelli, R., Cattaneo, P., Fumagalli, G., Goggi, G., Brigati, S., Gatti, U., Maloberti, F., Torelli, G., Carlson, P., Kerek, A., Appelquist, G., Berglund, S., Bohm, C., Engstrom, M., Yamdagni, N., Sundblad, R., Hoglund, I., and Persson, S. 1993. System level policies for fault tolerance issues in the fermi project. In Proceedings of the IEEE International Workshop on Defect and Fault Tolerance in VLSI Systems. 1--8.
11. Eisenman, S., Miluzzo, E., Lane, N., Peterson, R., Ahn, G., and Campbell, A. 2009. Bikenet: A mobile sensing system for cyclist experience mapping. ACM Trans. Sen. Netw. (TOSN) 6, 1, 6.
12. ENEA. 1999. http://clisun.casaccia.enea.it/pagine/tabelleradiazione.htm. In Tabella della Radiazione Solare, ENEA - Italian National agency for new technologies, Energy and sustainable economic development.
13. Engel, J., Zhao, L., Fan, Z., Chen, J., and Liu, C. 2004. Smart brick-a low cost, modular wireless sensor for civil structure monitoring. In Proceedings of the International Conference on Computing, Communications and Control Technologies (CCCT'04).
14. Farrar, C., Park, G., and Todd, M. 2011. Sensing network paradigms for structural health monitoring. New Developments in Sensing Technology for Structural Health Monitoring, Lecture Notes in Electrical Engineering, vol. 96, Springer, 137--157.
15. Farrar, C. and Worden, K. 2007. An introduction to structural health monitoring. Philosop. Tran. Royal Soc. A: Math. Physical Eng. Sci. 365, 1851, 303.
16. Glaser, S. 2005. Terra-Scope: A MEMS-based vertical seismic array. Proc. SPIE.
17. Grattan, S., Taylor, S., Basheer, P., Sun, T., and Grattan, K. 2009. Structural health monitoring-better solutions using fiber optic sensors? In Proceedings of the IEEE Sensors Confernce. IEEE, 811--814.
18. Gungor, V. and Hancke, G. 2009. Industrial wireless sensor networks: Challenges, design principles, and technical approaches. IEEE Trans. Indus. Electron. 56, 10, 4258--4265.
19. Hu, W., Bulusu, N., Chou, C., Jha, S., Taylor, A., and Tran, V. 2009. Design and evaluation of a hybrid sensor network for cane toad monitoring. ACM Trans. Sen. Netw. (TOSN) 5, 1, 4.
20. Ingelrest, F., Barrenetxea, G., Schaefer, G., Vetterli, M., Couach, O., and Parlange, M. 2010. Sensorscope: Application-specific sensor network for environmental monitoring. ACM Tran. Sen. Netw. (TOSN) 6, 2, 17.
21. Johnson, W., Auld, B., and Alers, G. 1994. Spectroscopy of resonant torsional modes in cylindrical rods using electromagnetic-acoustic transduction. J. Acoustical Soc. Am. 95, 1413.
22. Kim, S., Pakzad, S., Culler, D., Demmel, J., Fenves, G., Glaser, S., and Turon, M. 2007. Health monitoring of civil infrastructures using wireless sensor networks. In Proceedings of the 6th International Conference on Information Processing in Sensor Networks. ACM, 254--263.
23. Lawrenz, W. 1997. Can System Engineering: From Theory to Practical Applications 1st Ed. Springer-Verlag New York, Inc., Secaucus, NJ.
24. Lim, S. and Shoureshi, R. 2003. Neural-based monitoring system for health assessment of electric transmission lines. In Proceedings of the American Control Conference. Vol. 3. IEEE, 2270--2275.
25. Lim, S. and Shoureshi, R. 2006. Advanced monitoring system for integrity assessment of electric power transmission lines. In Proceedings of the American Control Conference. IEEE, 6.
26. Lynch, J., Law, K., Kiremidjian, A., Carryer, E., Farrar, C., Sohn, H., Allen, D., Nadler, B., and Wait, J. 2004. Design and performance validation of a wireless sensing unit for structural monitoring applications. Struct. Eng. Mech. 17, 3--4, 393--408.
27. Lynch, J., Partridge, A., Law, K., Kenny, T., Kiremidjian, A., and Carryer, E. 2003. Design of piezoresistive MEMS-based accelerometer for integration with wireless sensing unit for structural monitoring. J. Aerospace Eng. 16, 108.
28. Maróti, M., Kusy, B., Simon, G., and Lédeczi, A. 2004. The flooding time synchronization protocol. In Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems. ACM, 39--49.
29. Moteiv. 2007. Tmote invent. http://www.moteiv.com/.
30. Paek, J., Chintalapudi, K., Caffrey, J., Govindan, R., and Masri, S. 2005. A wireless sensor network for structural health monitoring: Performance and experience. In Proceedings of the 2nd IEEE Workshop on Embeded Sensor Networks. 1--10.
31. Paek, J., Greenstein, B., Gnawali, O., Jang, K., Joki, A., Vieira, M., Hicks, J., Estrin, D., Govindan, R., and Kohler, E. 2010. The tenet architecture for tiered sensor networks. ACM Trans. Sen. Netw. (TOSN) 6, 4, 34.
32. Ramamurthy, H., Prabhu, B., Gadh, R., and Madni, A. 2007. Wireless industrial monitoring and control using a smart sensor platform. IEEE Sensors J. 7, 5, 611--618.
33. Rice, J. and Spencer Jr, B. 2008. Structural health monitoring sensor development for the Imote2 platform. In Proceedings of SPIE, Sensor and Smart Structures Technologies for Civil, Mechanical and Aerospace Systems. doi:10.1117/12.776695.
34. Rice, J. and Spencer Jr, B. 2009. Flexible smart sensor framework for autonomous full-scale structural health monitoring. Newmark Struct. Eng. Labo. Report Series 018.
35. Schmid, J., Gädeke, T., Stork, W., Hennrich, H., and Blank, T. 2010. A wireless MEMS-sensor network concept for the condition monitoring of ball screw drives in industrial plants. In Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems. ACM, 425--426.
36. Sisgeo. 2012. http://www.sisgeo.com/.
37. Solgeo. 2012. http://www.solgeo.eu/.
38. Werner-Allen, G., Lorincz, K., Welsh, M., Marcillo, O., Johnson, J., Ruiz, M., and Lees, J. 2006. Deploying a wireless sensor network on an active volcano. IEEE Int. Comput. 18--25.

Index Terms

• Computer systems organization

  • Embedded and cyber-physical systems

  • Real-time systems

• Hardware

  • Communication hardware, interfaces and storage

• Networks