Alarm management optimization in chemical installations based on adapted HAZOP reports |
| |
| Institution: | 1. State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, China;2. Zhejiang Supcon System Engineering Co., Ltd., Hangzhou 310053, China;1. Commissioning Department, South Pars Gas Complex Company, Assaluyeh, Iran;2. Development & Engineering Management Department, South Pars Gas Complex Company, Assaluyeh, Iran;3. Persian Gulf University, Mechanical Engineering Department, Bushehr, Iran;4. Mechanical Engineering Department, University of Texas, Arlington, USA;1. Department of Health, Safety & Environment (HSE), School of Environment, College of Engineering, University of Tehran, Tehran, Iran;2. Mechanical and Industrial Engineering Department, Ryerson University, Toronto, ON, Canada;3. School of Occupational and Public Health, Ryerson University, Toronto, ON, Canada;1. Advanced Control Laboratory, Power & Control Engineering Department, Shiraz University, Shiraz, Iran;2. Chair of Process Control Systems, Technische Universität Dresden, Dresden, Germany;3. ADEPP Academy, London, United Kingdom;4. Nano-chemical Engineering Department, Shiraz University, Shiraz, Iran |
| |
| Abstract: | Most current alarm systems used in chemical installations show poor performance due to alarm flooding. This study focuses on alarm management systems optimization using the deviation propagation relationship hidden in the hazard and operability study (HAZOP) report, which can be transformed into a critical information source for alarm optimization management. More concretely, this means matching the alarm tag number with the process deviations in the deviation column, possible cause column, and consequence column. Furthermore, a backtracking method and a reasoning method were established to identify the initial alarm and associated alarms. Besides, a root fault diagnosis was carried out. A method of detecting hardware faults and unreasonable alarm thresholds is established using alarm causality corresponding to the deviation causality and associated alarm generation-skipping tracing method. According to the severity of the consequence corresponding to the deviation, a determined alarm priority method is constructed. The results show that the deviation propagation relationship in the HAZOP report is clear, and the topological relationship is easy to build based on the deviation propagation relationship. With comprehensive and in-depth HAZOP analysis reports in China, the alarm management optimization technology based on adapted HAZOP reports shows good prospects for application and promotion. |
| |
| Keywords: | Alarm management optimization Alarm flooding HAZOP Deviation propagation |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
