报告题目： Alarm Analytics Tools for Industrial Monitoring Systems

      报告时间：2018年7月22日16：00

      报告地点：自动化学院泰山报告厅

      报 告 人：陈通文 院士，加拿大阿尔伯塔大学（University of Alberta）
报告人简介：
    Tongwen Chen is currently a Professor and Tier 1 Canada Research Chair in Intelligent Monitoring and Control at the University of Alberta, Canada. He received the BEng degree in Automation and Instrumentation from Tsinghua University (Beijing) in 1984, and the MASc and PhD degrees in Electrical Engineering from the University of Toronto in 1988 and 1991, respectively. His research interests include computer and network based control systems, event triggered control, process safety and alarm systems, and their applications to the process and power industries. He is a Fellow of IEEE, IFAC, as well as Canadian Academy of Engineering.
报告简介：
    In operating industrial facilities, alarm systems are configured to notify operators about any abnormal situation. The industrial standards (EEMUA and ISA) suggest that on average an operator should not receive more than six alarms per hour. This is, however, rarely the case in practice as the number of alarms each operator receives is far more than the standard. There exist strong industrial needs and economic benefits for better interpreting and managing the alarms, and redesigning the alarm systems to reduce false and nuisance alarms, and increase the alarm accuracy. In this talk, we plan to summarize our recent work in this new area, targeting a quantitative and data based approach, called “alarm analytics,” and presenting a new set of tools for alarm visualization, performance evaluation and analysis, and rationalization design, thereby to help industrial processes to comply with the new standards. Topics to be discussed include
    How to present alarm information from a unit/plant/area?
    How to quantify and improve alarm accuracy and alarm chattering?
    How to study and cluster historical alarm floods?
    How to capture connectivity and causality from process and alarm data?
    What is recent development on advanced alarm monitoring?
    The tools have been tested with real industrial data and used by process engineers in Canada and elsewhere.