| Budget Amount *help |
¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2014: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2013: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2012: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Outline of Final Research Achievements |
In this resaerch, we propose a method for identifying sequential alarms hidden in plant operation data by using dot matrix analysis. Dot matrix analysis is one of the sequence alignment methods for identifying similar regions in a pair of DNA or RNA sequences. The proposed method first converts plant operation data recorded in a distributed control system into a single alarm sequence by putting alarms in order of occurrence time. Next, regions similar to each other in the alarm sequence are identified. Finally, the identified regions, which are assumed to be sequential alarms, are classified into sets of similar sequential alarms in accordance with the similarities between them. Classifying sequential alarms into small numbers of groups with this method effectively reduces unimportant sequential alarms in industrial chemical plants.
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