Development of a software system for visualizing potential risks in business establishments using integrated network graph method
| Project/Area Number |
16K16367
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Social systems engineering/Safety system
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| Research Institution | Okayama Shoka University |
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Principal Investigator |
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| Project Period (FY) |
2016-04-01 – 2020-03-31
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| Project Status |
Completed (Fiscal Year 2019)
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| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2018: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2016: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | Visualization / Network graph / Network Analysis / Text Mining / Risk Assesment / Network Graph / Risk Analysis / テキストマイニング / リスクアセスメント / 可視化 / 事例解析 / 事象進展 / Risk Assessment / Hazard Analysis / Hazard analysis / 自然言語処理 / 事象の進展 / 進展の統合化 / 事故事例 / ヒヤリハット / リスクマネジメント |
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| Outline of Final Research Achievements |
In order to prevent the recurrence of accidents, each business site has collected and analyzed case data on accidents and near-misses, and has attempted to prevent recurrence of accidents. However, similar accidents have recurred, and it is hard to say that the analysis is sufficient. The problem is that people mainly analyze a large amount of case data.
The purpose of this study is to realize a countermeasure support system that can realize a cycle of risk assessment and risk removal by computer so that even if an expert is absent, maintenance can be performed with low burden.
The visualization software of the analysis method of the progress of the proposed case is implemented. In addition, by applying this method, we proposed a traveling support system based on intelligence.
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| Academic Significance and Societal Importance of the Research Achievements |
テキストマイニングにおいて主力となるのが、可視化技術である。主な可視化手法が図式化であるが、事象の流れや進展の可視化は十分とは言い難い。しかし、人の情報処理能力では、多量のデータを把握する事は難しく、データを理解し、利用へすすめるためにも可視化技術は欠かせない。
本研究は、その可視化技術の一つとして、事例データから事象の進展の可視化するソフトウェア技術の開発を進めた。
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Report
(5 results)
Research Products
(4 results)
