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Conference Paper
Water distribution system pressure sensor evaluation using entropy-based field data analysis
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- Authors
- Dongwon Ko, Jeongseop Lee, Hyan su Bae, Kwangju Kim, In-su Jang, Sanghyun Kim
- Issue Date
- 2024-08
- Citation
- International Conference on Platform Technology and Service (PlatCon) 2024, pp.232-235
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- A water distribution system is an essential part of urban water management, as it ensures reliable water supply to residents. In order to monitor water distribution systems and prevent several problems, pressure sensors are an important part of the infrastructure, which should be examined frequently. The purpose of this study is to propose a method for evaluating pressure sensors in existing water distribution systems based on data analysis. Water distribution system in Yeonam District, Daegu Metropolitan City, was used in this study. We obtained field pressure data using a low accuracy field pressure sensor. Two different types of data were collected: daily data and high frequency data from transient events. Analyzing and evaluating field pressure data was based on information theory, which quantifies entropy as an indication of the amount of information in a signal. The best sampling frequency for a pressure sensor can be determined by determining data feasibility in transient data and the optimal sampling frequency for daily data.
- KSP Keywords
- Field data analysis, High frequency(HF), High frequency data, Information theory, Optimal sampling, Pressure Sensor, Sampling frequency, System pressure, Urban water management, Water distribution systems, Water supply