[Legacy Report] Seminar on Some Hot Issues in Water Distribution Systems
Some Hot Issues in Water Distribution Systems
Dr. Qi Kang, Senior Member, IEEE
Department of Control Science and Engineering, Tongji University, Shanghai, China
Time: 10am, Wed., August 12, 2015
Place: ECEC 202, New Jersey Institute of Technology
Abstract: Water leakage and contamination intrusion in distribution networks are two main issues of great concern for water utilities, strongly linked with water supply safety, maintenance costs and water resource savings. Reports show that the amount of volume lost in water supply systems mainly due to the deterioration of pipes and to the high values of pressure. Pressure management is now recognized as one of the most efficient and cost effective measures available to the water utilities. Contamination intrusion detection is aimed at identifying abnormal behavior (both deliberate and accidental hazard’s intrusions) in water distribution systems. Sensor network is becoming a promising technique to implement an intelligent decision support system, alerts for such abnormal events. Some attempts were made to develop data-based contamination intrusion detecting model by using machine learning techniques, e.g, supervised classification methods. In the first part of this talk, I will show several optimal pressure control methods, by locating the PRVs exactly using swarm intelligence algorithms. Meanwhile, the concept of each pipe’s information index is defined and used to guide good location performance probability and the topological structure is also considered at the branches. The final simulation results about the real case will show that the leakages can be reduced efficiently. In the second part of this talk, I will introduce an abnormal event detection method based on imbalanced classification, which is expected to apply to classify the data outliers of water quality measurement in water networks. Particularly, I will show several our proposed imbalanced classification algorithms.
Biography: Qi Kang (S'04-M'09-SM’15) received the B.S. degree in Automatic Control, the M.S. degree in Control Theory and Control Engineering, and the Ph.D degree in Control Theory and Control Engineering, from Tongji University, Shanghai, China, in 2002, 2005, and 2009, respectively. From September 2007 to October 2008, he was a Research Associate with the Department of Electrical and Computer Engineering, University of Illinois at Chicago, IL, USA. He is currently an associate professor with the Department of Control Science and Engineering, Tongji University, Shanghai, China. Since August 2014, he has being a visiting scholar with the Department of Electronics and Computer Engineering, New Jersey Institute of Technology, NJ, USA. He is also an IEEE senior member, a committee member of Intelligent Optimization professional committee of CAAI, and a committee member of YAC of Chinese Association of Automation. He served as a sub-committee of IEEE CIS GOLD from 2007 to 2011. His research interests are in computational intelligence, intelligent control, machine learning and engineering optimization, energy and water systems. He has published over 50 journal and conference proceedings papers in the above research areas.
Contact: Prof. Mengchu Zhou at zhou@njit.edu if any question. ECEC 202 is located at the intersection between warren St. and Summit St., Newark, NJ 07102.
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