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A longitudinal study of vibration-based water flow sensing

Published: 30 November 2012 Publication History

Abstract

We present a long-term and cross-sectional study of a vibration-based water flow rate monitoring system in practical environments and scenarios. In our earlier research, we proved that a water flow monitoring system with vibration sensors is feasible by deploying and evaluating it in a small-scale laboratory setting. To validate the proposed system, the system was deployed in existing environments—two houses and a public restroom—and in two different laboratory test settings. With the collected data, we first demonstrate various aspects of the system's performance, including sensing stability, sensor node lifetime, the stability of autonomous sensor calibration, time to adaptation, and deployment complexity. We then discuss the practical challenges and lessons from the full-scale deployments. The evaluation results show that our water monitoring solution is a practical, quick-to-deploy system with a less than 5% average flow estimation error.

References

[1]
American Water Works Association. 2005. C706-96(r05): Awwa standard for direct-reading remote-registration systems for cold-water meters.
[2]
Bird, R. B., Stewart, W. E., and Lightfoot, E. N. 1960. Transport Phenomena. John Wiley & Sons, New York, pp. 153--179, Chap. 5.
[3]
Blake, W. K. 1986. Mechanics of Flow-Induced Sound and Vibration. Academic Press, Harcort Brace Jovanokich Publishers, Orlando, FL.
[4]
Boyd, S. and Vandenberghe, L. 2004. Convex Optimization. Cambridge University Press.
[5]
Boyd, S. P., Kim, S. J., Vandenberghe, L., and Hassibi, A. 2005. A tutorial on geometric programming. http://www.stanford.edu/boyd/papers/gp_tutorial.html.
[6]
Bruce, S., Larock, E., Jeppson, R. W., and Watters, G. Z. 2000. Hydraulics of Pipeline Systems. CRC Press.
[7]
Campbell, T., Larson, E., Cohn, G., Froehlich, J., Alcaide, R., and Patel, S. N. 2010. Wattr: A method for self-powered wireless sensing of water activity in the home. In Proceedings of the 12th ACM International Conference on Ubiquitous Computing (Ubicomp'10). ACM, 169--172.
[8]
Chen, F., Dai, J., Wang, B., Sahu, S., Naphade, M., and Lu, C.-T. 2011. Activity analysis based on low sample rate smart meters. In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2011).
[9]
Chen, F., Dai, J., Wang, B., Sahu, S., Naphade, M., and Lu, C.-T. 2011. Activity analysis based on low sample rate smart meters. In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
[10]
Cheung, E. 2005. Municipal water meter monitor. http://www.edcheung.com/automa/water.htm.
[11]
Center for Ecology & Hydrology 2005. The water poverty index. http://www.ceh.ac.uk/sections/ph/WaterPovertyIndex.html.
[12]
Cohn, G., Gupta, S., Froehlich, J., Larson, E., and Patel, S. N. 2010. Gassense: Appliance-level, single-point sensing of gas activity in the home. In Proceedings of the 8th International Conference on Pervasive Computing.
[13]
Dahl, J. and Vandenberghe, L. 2011. Cvxopt. http://abel.ee.ucla.edu/cvxopt.
[14]
Evans, R. P., Blotter, J. D., and Stephens, A. G. 2004. Flow rate measurements using flow-induced pipe vibration. Trans. ASME 126, 280.
[15]
Fogarty, J., Au, C., and Hudson, S. E. 2006. Sensing from the basement: A feasibility study of unobtrusive and low-cost home activity recognition. In Proceedings of the Annual ACM Symposium on User Interface Software and Technology.
[16]
Froehlich, J., Everitt, K., Fogarty, J., Patel, S., and Landay, J. 2009. Sensing opportunities for personalized feedback technology to reduce consumption. In Proceedings of the Workshop on Defining the Role of HCI in the Challenge of Sustainability.
[17]
Froehlich, J., Larson, E., Campbell, T., Haggerty, C., Fogarty, J., and Patel, S. 2009. Hydrosense: Infrastructure-mediated single-point sensing of whole-home water activity. In Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing.
[18]
Froehlich, J., Larson, E., Saba, E., Campbell, T., Atlas, L., Fogarty, J., and Patel, S. 2011. A longitudinal study of pressure sensing to infer real-world water usage events in the home. In Proceedings of the 9th International Conference on Pervasive Computing. Lecture Notes in Computer Science, Vol. 6696, Springer, Berlin, 50--69.
[19]
Gupta, S., Reynolds, M. S., and Patel, S. N. Electrisense: Single-point sensing using emi for electrical event detection and classification in the home. In Proceedings of the 12th ACM International Conference on Ubiquitous Computing (Ubicomp'10). ACM, 139--148.
[20]
Jiang, X., Dawson-Haggerty, S., Dutta, P., and Culler, D. 2009. Design and implementation of a high-fidelity ac metering network. In Proceedings of the ACM IEEE International Conference on Information Processing in Sensor Networks.
[21]
Jiang, X., Van Ly, M., Taneja, J., Dutta, P., and Culler, D. 2009. Experiences with a high-fidelity wireless building energy auditing network. In Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems. 113--126.
[22]
Kim, Y., Charbiwala, Z. M., Singhania, A., Schmid, T., and Srivastava, M. B. 2008. Spotlight: Personal natural resource consumption profiler. In Proceedings of the 5th Workshop on Hot Topics in Embedded Networked Sensors.
[23]
Kim, Y., Schmid, T., Charbiwala, Z. M., Friedman, J., and Srivastava, M. B. 2008. NAWMS: Nonintrusive autonomous water monitoring system. In Proceedings of the ACM Conference on Embedded Networked Sensor System. 309--322.
[24]
Kim, Y., Schmid, T., Charbiwala, Z. M., and Srivastava, M. B. 2009. Viridiscope: Design and implementation of a fine grained power monitoring system for homes. In Proceedings of the ACM International Joint Conference on Pervasive and Ubiguitous Computing.
[25]
Lai, T.-T. T., Chen, Y.-H. T., Huang, P., and Chu, H.-H. 2010. Pipeprobe: A mobile sensor droplet for mapping hidden pipeline. In Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems (SenSys'10). 113--126.
[26]
McMakin, A. H., Malone, E. L., and Lundgren, R. E. 2002. Motivating residents to conserve energy without financial incentives. Environ. Behav. J.
[27]
Patel, S. N., Robertson, T., Kientz, J. A., Reynolds, M. S., and Abowd, G. D. 2007. At the flick of a switch: Detecting and classifying unique electrical events on the residential power line. In Proceedings of the ACM International Joint Conference on Pervasive and Ubiguitous Computing.
[28]
Pittard, M. T., and Blotter, J. B. 2003. Numerical modeling of les based turbulent-flow induced vibration. ASME International Mechanical Engineering Congress & Exposition.
[29]
Schmid, T., Shea, R., Srivastava, M. B., and Dutta, P. 2010. Disentangling wireless sensing from mesh networking. In Proceedings of 6th Workshop on Hot Topics in Embedded Networked Sensors.
[30]
Stern, P. C. 1999. Information, incentives, and proenvironmental consumer behavior. J. Consum. Policy.
[31]
Stoianov, I., Nachman, L., Madden, S., and Tokmouline, T. 2007. Pipeneta wireless sensor network for pipeline monitoring. Proceedings of the ACM/IEEE International Conference on Information Processing in Sensor Networks.
[32]
World Business Council for Sustainable Development. 2009. Energy efficiency in buildings: Transforming the market. Tech. rep.
[33]
World Business Council for Sustainable Development. 2009. Energy efficiency in buildings: Business realities and opportunities. Tech. rep., Summary Report.

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  1. A longitudinal study of vibration-based water flow sensing

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    Published In

    cover image ACM Transactions on Sensor Networks
    ACM Transactions on Sensor Networks  Volume 9, Issue 1
    November 2012
    233 pages
    ISSN:1550-4859
    EISSN:1550-4867
    DOI:10.1145/2379799
    Issue’s Table of Contents
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 30 November 2012
    Accepted: 01 October 2011
    Revised: 01 October 2011
    Received: 01 June 2011
    Published in TOSN Volume 9, Issue 1

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    Author Tags

    1. Application of sensor networks
    2. adaptive sensor calibration
    3. nonintrusive and spatially distributed sensing
    4. parameter estimation via numerical optimization

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    • (2020)Fiber Bragg grating accelerometer-based nonintrusive flow rate measurements and leak detectionApplied Optics10.1364/AO.40854859:34(10680)Online publication date: 24-Nov-2020
    • (2020)Multisensor Data Fusion Calibration in IoT Air Pollution PlatformsIEEE Internet of Things Journal10.1109/JIOT.2020.29652837:4(3124-3132)Online publication date: Apr-2020
    • (2019)Distributed Multi-Scale Calibration of Low-Cost Ozone Sensors in Wireless Sensor NetworksSensors10.3390/s1911250319:11(2503)Online publication date: 31-May-2019
    • (2019)Self-Calibration Methods for Uncontrolled Environments in Sensor Networks: A Reference SurveyAd Hoc Networks10.1016/j.adhoc.2019.01.008Online publication date: Feb-2019
    • (2017)Sound recording to characterize outdoor tap water use eventsJournal of Water Supply: Research and Technology-Aqua10.2166/aqua.2017.12066:6(392-402)Online publication date: 17-Jul-2017
    • (2017)A new technique for saving water trapped inside home water networks2017 Intelligent Systems Conference (IntelliSys)10.1109/IntelliSys.2017.8324284(160-165)Online publication date: Sep-2017
    • (2015)Water conservation using smart multi-user centralized mixing systems2015 SAI Intelligent Systems Conference (IntelliSys)10.1109/IntelliSys.2015.7361168(362-370)Online publication date: Nov-2015
    • (2013)Computational environmental ethnographyProceedings of the fourth international conference on Future energy systems10.1145/2487166.2487176(87-98)Online publication date: 23-Jan-2013
    • (2013)Fluid flow rate estimation using acceleration sensors2013 Seventh International Conference on Sensing Technology (ICST)10.1109/ICSensT.2013.6727646(221-225)Online publication date: Dec-2013

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