Development of technological information infrastructure based on systematized safety information/knowledge
| Project/Area Number |
14580480
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
社会システム工学
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| Research Institution | Okayama University |
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Principal Investigator |
SUZUKI Kazuhiko Okayama University, Faculty of Engineering, Professor, 工学部, 教授 (50196797)
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| Co-Investigator(Kenkyū-buntansha) |
島田 行恭 岡山大学, 工学部, 講師 (10253006)
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| Project Period (FY) |
2002 – 2004
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| Project Status |
Completed (Fiscal Year 2004)
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| Budget Amount *help |
¥3,500,000 (Direct Cost: ¥3,500,000)
Fiscal Year 2004: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 2003: ¥1,700,000 (Direct Cost: ¥1,700,000)
Fiscal Year 2002: ¥1,000,000 (Direct Cost: ¥1,000,000)
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| Keywords | Risk evaluation / Safety design / HAZOP / Information management / Data base |
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| Research Abstract |
World is increasing the focus on safety requirements and safety systems for production and manufacturing plants where cost and risk of the continuously occurring accidents are relatively high. The advancement of safety design and safety systems technologies showed large amount of useful safety-related knowledge that can be of great importance to plant operation to reduce operation risks and ensure safety.
This research proposes safety knowledge modeling framework on the basis of ontology technologies to systematically construct plant knowledge model, which includes plant structure, operation, and the associated behaviors. In such plant knowledge model safety related information is defined and linked to the different elements of plant knowledge model. Ontology editor is employed to define the basic concepts and their inter-relations, which are used to capture and construct plant safety knowledge.
In order to provide detailed safety knowledgebase, HAZOP results are analyzed and structured so that safety-related knowledge are identified and structured within the plant knowledgebase. The target safety knowledgebase includes : failures, deviations, causes, consequences, and fault propagation as mapped to plant knowledge.
User interface system is developed to utilize the developed plant ontology and knowledgebase to support HAZOP systems for efficient plant safety assessment, which also used to support plant operator.
The proposed ontology-based safety framework is applied on case study nuclear plant to structure failures, causes, consequences, and fault propagation, which are used to support plant operation.
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Report
(4 results)
Research Products
(12 results)
