A longitudinal study of vibration-based water flow sensing

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.

[1]  P. Stern Information, Incentives, and Proenvironmental Consumer Behavior , 1999 .

[2]  Eric C. Larson,et al.  HydroSense: infrastructure-mediated single-point sensing of whole-home water activity , 2009, UbiComp.

[3]  James Fogarty,et al.  Sensing from the basement: a feasibility study of unobtrusive and low-cost home activity recognition , 2006, UIST.

[4]  Mani B. Srivastava,et al.  NAWMS: nonintrusive autonomous water monitoring system , 2008, SenSys '08.

[5]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[6]  David E. Culler,et al.  Design and implementation of a high-fidelity AC metering network , 2009, 2009 International Conference on Information Processing in Sensor Networks.

[7]  Ivan Stoianov,et al.  PIPENETa wireless sensor network for pipeline monitoring , 2007, IPSN.

[8]  Les E. Atlas,et al.  A Longitudinal Study of Pressure Sensing to Infer Real-World Water Usage Events in the Home , 2011, Pervasive.

[9]  Mani B. Srivastava,et al.  ViridiScope: design and implementation of a fine grained power monitoring system for homes , 2009, UbiComp.

[10]  Chang-Tien Lu,et al.  Activity analysis based on low sample rate smart meters , 2011, KDD.

[11]  Jonathan D. Blotter,et al.  Numerical Modeling of LES Based Turbulent Flow Induced Vibration , 2003 .

[12]  Mani B. Srivastava,et al.  Disentangling wireless sensing from mesh networking , 2010, HotEmNets.

[13]  Shwetak N. Patel,et al.  Sensing Opportunities for Personalized Feedback Technology to Reduce Consumption , 2009 .

[14]  F. Fahy,et al.  Mechanics of flow-induced sound and vibration , 1989 .

[15]  Stephen P. Boyd,et al.  A tutorial on geometric programming , 2007, Optimization and Engineering.

[16]  Eric C. Larson,et al.  GasSense: Appliance-Level, Single-Point Sensing of Gas Activity in the Home , 2010, Pervasive.

[17]  A. McMakin,et al.  Motivating Residents to Conserve Energy without Financial Incentives , 2002 .

[18]  Polly Huang,et al.  PipeProbe: a mobile sensor droplet for mapping hidden pipeline , 2010, SenSys '10.

[19]  L. Nachman,et al.  PIPENET: A Wireless Sensor Network for Pipeline Monitoring , 2007, 2007 6th International Symposium on Information Processing in Sensor Networks.

[20]  David E. Culler,et al.  Experiences with a high-fidelity wireless building energy auditing network , 2009, SenSys '09.

[21]  Gregory D. Abowd,et al.  At the Flick of a Switch: Detecting and Classifying Unique Electrical Events on the Residential Power Line (Nominated for the Best Paper Award) , 2007, UbiComp.

[22]  Shwetak N. Patel,et al.  ElectriSense: single-point sensing using EMI for electrical event detection and classification in the home , 2010, UbiComp.

[23]  R. P. Evans,et al.  Flow Rate Measurements Using Flow-Induced Pipe Vibration , 2004 .

[24]  V. S. Vaidhyanathan,et al.  Transport phenomena , 2005, Experientia.

[25]  Roland W. Jeppson,et al.  Hydraulics of Pipeline Systems , 1999 .

[26]  Eric C. Larson,et al.  WATTR: a method for self-powered wireless sensing of water activity in the home , 2010, UbiComp.

[27]  Mani B. Srivastava,et al.  SPOTLIGHT : Personal Natural Resource Consumption Profiler , 2008 .