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Conference Paper
Development of Water Quality Analysis for Anomaly Detection and Correlation with Case Studies in Water Supply Systems
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- Authors
- Mina Cha, Woocheol Kang, Yeo-Myeong Yun, Jungwon Yu, Kwang-Ju Kim, Seongwon Kim
- Issue Date
- 2024-08
- Citation
- International Conference on Platform Technology and Service (PlatCon) 2024, pp.236-239
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- Recently, the growing incidents derived from various issues of water supply systems increase public concern in tab water. Incidents in water supply systems have led to highlighting the need for predictive management systems that can provide warnings of potential water quality issues in water supply systems. The increasing importance of water quality management in water supply systems requires the development of efficient methodologies for the early detection of water quality incidents related to anomalies detection in water quality parameters. It is important to develop management systems for early detection of incidents related to water quality problems in water supply systems. The objective of this research is to analyze real-time monitoring water quality parameters and to conduct a comprehensive investigation case studies of water quality incidents that correlate with anomaly detection of water quality parameters from real-time water quality monitoring in water supply systems. This research focuses on the real-time important water quality parameters (pH, turbidity, electrical conductivity, temperature, and chlorine), conducts anomaly detection within these parameters, and investigates cases studies of water quality incidents. This study can contribute to the development of an early detection and response system related to water quality incidents in water supply systems. Future work will focus on enhancing the application of system for early detection of water quality incidents by expanding the data, developing anomaly detection methods by applying machine learning technic, and figuring out the correlations between anomalies and water quality incidents.
- KSP Keywords
- Anomalies detection, Case studies, Detection Method, Early detection, Electrical Conductivity, Management system, Real-time monitoring, Water quality analysis, Water quality management, Water quality monitoring, Water quality parameters