Singapore Institute of Technology
Browse

Water Supply System Dataset: Non-Invasive Sensor Data for Smart Water Pumps

Download (729.26 kB)
conference contribution
posted on 2025-01-10, 05:12 authored by Carmen Cheh, Aaron Han Yen Tay, Zhen Wei Ng, Binbin Chen, Xin LouXin Lou, ZAKI MASOOD, David K.Y. Yau

Pumps play a central role in water supply systems, especially for high-rise buildings. The inefficiency or failure of pumps leads to high energy cost or water supply disruption. Thus, it is crucial to monitor their health. While advanced pumps have in-built sensors that help to monitor the condition of the pump, most legacy systems are not equipped with such pumps. Thus, we adopt a more practical approach by installing non-invasive sensors to measure power, vibration, water pressure and level of a water pump system in a university building and collected a year of data. In this paper, we present our dataset and detail the interesting events and failures that were captured. We demonstrate the utility of our dataset by extracting specification rules from the data and showing that application of those rules allow us to detect those captured failures.

History

Journal/Conference/Book title

BuildSys '24: Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation

Publication date

2024-10-29

Version

  • Published

Usage metrics

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC