DocumentCode :
131629
Title :
Research on Accident Inversion and Analysis Method of the Oil and Gas Pipeline SCADA System
Author :
He Huang ; Wei Zhang ; Guocheng Qi ; Shuai Ma ; Yi Yang ; Feng Yan ; Peng Chen
Author_Institution :
Beijing Oil & Gas Control Center, Petrochina, Beijing, China
fYear :
2014
fDate :
10-11 Jan. 2014
Firstpage :
492
Lastpage :
496
Abstract :
It is more intuitive and clear to analyze and judge the pipeline accident with completely inversion and prediction. This paper studies accidents inversion and analysis methods for the oil and gas pipeline SCADA system. First, we save log data and real-time data section in the database and creating event scenes. Then, we use inversion with the accident realtime data section, log data and the timeline playback data. We also use an accident analysis method based on Apriori - a association make rules mining algorithm with specified features, to a preliminary diagnosis for the alarms, accidents, equipment new breakdowns, etc. In the industry experiment, this method is proved to be effective to help the dispatcher locate reason the accident spot and provide decision support for the analysis.
Keywords :
SCADA systems; data mining; industrial accidents; pipelines; production engineering computing; Apriori; SCADA system; accident analysis; accident inversion; accident realtime data section; alarms; association rules mining algorithm; decision support; equipment breakdowns; gas pipelines; oil pipelines; preliminary diagnosis; Automation; Mechatronics; Accident Inversion; Association Rules Mining; Equipment Topology Apriori; Oil and Gas Pipeline; SCADA;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2014 Sixth International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-1-4799-3434-8
Type :
conf
DOI :
10.1109/ICMTMA.2014.121
Filename :
6802738
Link To Document :
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