Lakshman Krishnamurthy
Mick Flanigan
Mark Yarvis
ABSTRACT
Sensing technology is a cornerstone for many industrial applications. Manufacturing plants and engineering facilities, such as shipboard engine rooms, require sensors to ensure product quality and efficient and safe operation. We focus on one representative application, preventative equipment maintenance, in which vibration signatures are gathered to predict equipment failure. Based on application requirements and site surveys, we develop a general architecture for this class of industrial applications. This architecture meets the application's data fidelity needs through careful state preservation and over-sampling. We describe the impact of implementing the architecture on two sensing platforms with differing processor and communication capabilities. We present a systematic performance comparison between these platforms in the context of the application. We also describe our experience and lessons learned in two settings: in a semiconductor fabrication plant and onboard an oil tanker in the North Sea. Finally, we establish design guidelines for an ideal platform and architecture for industrial applications. This paper includes several unique contributions: a study of the impact of platform on architecture, a comparison of two deployments in the same application class, and a demonstration of application return on investment.
- Bilstrup, U. and Wiberg, P.-A. Bluetooth in industrial environment. In Proceedings of the 11th IEEE International Workshop on Factory Communication Systems, (WFCS 2000) (Portugal, September 2000).Google Scholar
Cross Ref
- Cerpa, A., Elson, J., Estrin, D., Girod, L., Hamilton, M., and Zhao, J. Habitat monitoring: application driver for wireless communication technology. In Proceedings of the ACM Sigcomm Workshop on Data Communication (San Jose, Costa Rica, April 2001). Google ScholarDigital Library
- Crossbow, Inc., MICA2 mote, http://www.xbow.com/Products/productsdetails.aspx?sid=72Google Scholar
- Estrin, D., Govindan, R., Heidemann, J. and Kumar, S. In Proceedings of the Fifth Annual International Conference on Mobile Computing and Networks (MobiCOM '99) (Seattle, WA, August 1999).Google Scholar
- Kjesbu, S. and Brunsvik, T. Radiowave propagation in industrial environments. In Proceedings of the IEEE International Conference on Industrial Electronics, Control and Instrumentation (IECON 2000) (Nagoya, Japan, October 2000).Google ScholarCross Ref
- Lymberopoulos, D., Hseush, J., Mascia, J., Tully, S., Barton-Sweeny, A., Lindsey, Q., Kelly, M., and Savvides, A. Light-based localization and XYZ node architecture. In Proceedings of the 4th International Symposium on Information Processing in Sensor Networks (IPSN 2005) (Los Angeles, CA, April 2005).Google Scholar
- Nachman, L., Kling, R., Adler, R., Huang, J., and Hummel, V. The Intel mote platform: a bluetooth-based sensor network for industrial monitoring. In Proceedings of the 4th International Symposium on Information Processing in Sensor Networks (IPSN 2005) (Los Angeles, CA, April 2005). Google ScholarDigital Library
- Olney, D. Vibration monitoring with wireless networks. http://www.qualitymag.com/CDA/ArticleInformation/features/BNP__Features__Item/0,6425,98976,00.htmlGoogle Scholar
- Paek, J., Caffrey, K.C., Govindan, and R., Masri, S. A wireless sensor network for structural health monitoring: performance and experience. In Proceedings of the Second IEEE Workshop on Embedded Networked Sensors (EmNetS-II) (Sydney, Australia, May 2005). Google ScholarDigital Library
- Ramanathan, N., Yarvis, M., Chhabra, J., Kushalnagar, N., Krishnamurthy, L., and Estrin, D. A stream-oriented power management protocol for low duty cycle sensor network applications. In Proceedings of the Second IEEE Workshop on Embedded Networked Sensors (EmNetS-II) (Sydney, Australia, May 2005). Google ScholarDigital Library
- Rappaport, T. Indoor radio communications for factories of the future, IEEE Communications Magazine, 27, 5, (May 1989), 15--24.Google ScholarDigital Library
- Rappaport, T. Characterization of UHF multipath radio channels in factory buildings. IEEE Transactions on Antennas and Propagation, 37 (Aug. 1989) 1058--1069.Google ScholarCross Ref
- Rappaport, T. and McGillem, C. UHF fading in factories. IEEE JSAC, 7, 1 (Jan 1989), 40--48.Google Scholar
- Sadler, C, Zhang, P., Martonosi, M., and Lyon, S. Hardware design experiences in ZebraNet. In Proceedings of the Second ACM Conference on Embedded Networked Sensor Systems (Batimore, MD, Nov. 2004). Google ScholarDigital Library
- Sensicast Press Release. http://www.sensicast.com/news_events/news_events-detail.081004.phpGoogle Scholar
- Sensor Network Magazine. Condition based monitoring, http://www.sensorsmag.com/articles/0602/14/main.shtmlGoogle Scholar
- Staub, O., Zurcher, J.-F., Morel, P., and Croisier, A. Indoor propagation and electromagnetic pollution in an industrial plant. In Proceedings of the IEEE International Conference on Industrial Electronics, Control and Instrumentation (IECON) (New Orleans, LA, Nov. 1997).Google ScholarCross Ref
- Szewczyk, R., Polastre, J., Mainwaring, A., Anderson, J., and Culler, D. An analysis of a large scale habitat monitoring application. In Proceedings of the Second ACM Conference on Embedded Networked Sensor Systems (Batimore, MD, Nov. 2004). Google ScholarDigital Library
- Tiwari, A., Lewis, F.L., and Ge, S.S. Wireless sensor networks for machine condition based monitoring. In Proeedings of the. Int. Conf. Control, Automation, Robotics, and Vision (Kunming, China, Dec 2004).Google Scholar
- Wan, C.-Y., Campbell, A.T., and Krishnamurthy, L. Pump-slowly, fetch-quickly (PSFQ): a reliable transport protocol for sensor networks. IEEE Journal on Selected Areas in Communications, 23, 4, (April 2005) 862--872. Google ScholarDigital Library
- Xu, N., Rangwala, S., Chintalapudi, K., Ganesan, D., Broad, A., Govindan, R., and Estrin, D. A wireless sensor network for structural monitoring, In Proceedings of the Second ACM Conference on Embedded Networked Sensor Systems (Batimore, MD, Nov. 2004). Google ScholarDigital Library
- Yarvis, M.D., Conner, W.S., Krishnamurthy, L., Chhabra, J., Elliott, B., and Mainwaring, A. Real-world experiences with an interactive ad hoc sensor network. In Proceedings of the International Workshop on Ad Hoc Networking (IWAHN 2002) (Vancouver, B.C., Canada, August 2002), 143--151. Google ScholarDigital Library
- Yarvis, M., Kushalnagar, N., Singh, H., Rangarajan, A., Liu, Y., and Singh, S. Exploiting heterogeneity in sensor networks. In Proceedings of the IEEE International Conference on Computer Communiation (INFOCOM 2005) (Miami, FL, March 2005).Google ScholarCross Ref
- Zeevo, Inc, TC2001P Product Brief, http://www.zeevo.com/pdf_files/TC2001P_HCI_prodbrief_v1.2.pdfGoogle Scholar
Index Terms
- Design and deployment of industrial sensor networks: experiences from a semiconductor plant and the north sea
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