Comprehensive alarm information processing technology with application in petrochemical plant |
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Institution: | 1. College of Mechanical and Transportation Engineering, China University of Petroleum, Beijing, 102249, China;2. Zhong Jie Petrochemical Co., Ltd., CNOOC, Cangzhou, 061101, China;1. College of Engineering, Peking University, Beijing, China;2. Dept. of Electrical & Computer Eng., Univ. of Alberta, Edmonton, Alberta, Canada;1. Shandong Electric Power Research Institute for State Grid Corporation of China, Jinan, Shandong, 250003, China;2. Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Automation, Tsinghua University, Beijing, 100084, China |
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Abstract: | During the abnormal plant conditions, too much information is produced due to momentary plant excursions above alarm limits. This flood of information impedes correct interpretation and correction of plant conditions by the operator. Existing techniques for the design of alarm systems mostly have weak ability to handle complex hazard scenarios and increase the probability of larger safety issues. In this paper, a comprehensive alarm information processing (AIP) technology is introduced, called multi-round alarm management system (MRAMS), including several processing strategies: AIP based on single sensor, AIP based on sensor group, root cause diagnosis based on Bayesian network, sensor fault judgment method and false alarm inhibition method. In case studies, both simulation experiment and pilot application on a real petrochemical plant are presented. Results indicate the MRAMS is helpful in improving the accuracy of correctly diagnosing the root causes and hence avoiding false and redundant alarms. By adopting this new technology, the safe and reliable operation of the plant can be achieved, and the economic loss brought by improper alarms can be reduced. |
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Keywords: | Alarm information processing Multi-round alarm management system Hazard scenario Root cause |
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