A Longitudinal Study of Vibration-Based Water Flow Sensing

被引:12
|
作者
Kim, Younghun [1 ]
Park, Heemin [2 ]
Srivastava, Mani B. [3 ,4 ]
机构
[1] IBM TJ Watson Res, Hawthorne, NY USA
[2] Sookmyung Womens Univ, Dept Multimedia Sci, Seoul, South Korea
[3] Univ Calif Los Angeles, Dept Elect Engn, Los Angeles, CA 90024 USA
[4] Univ Calif Los Angeles, Dept Comp Sci, Los Angeles, CA 90024 USA
关键词
Algorithms; Design; Experimentation; Measurement; Performance; Application of sensor networks; adaptive sensor calibration; nonintrusive and spatially distributed sensing; parameter estimation via numerical optimization;
D O I
10.1145/2379799.2379807
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页数:28
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