2022 Fiscal Year Final Research Report
Disaster situation assessment and rescue operation support system using IoT and sensing technology
| Project/Area Number |
20K04831
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 23030:Architectural planning and city planning-related
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| Research Institution | Kobe University |
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Principal Investigator |
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| Project Period (FY) |
2020-04-01 – 2023-03-31
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| Keywords | 救助活動支援システム / IoT / センシング技術 / 機械学習 / 家具 / マルチエージェントシミュレーション |
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| Outline of Final Research Achievements |
In the event of an earthquake, we aimed to realize efficient rescue activities by constructing a system that automatically collects the locations and physical conditions of people requiring rescue, as well as the damage status of buildings. First, using IoT and sensing technology, we verified the types and placement methods of the sensors necessary to determine the presence or absence of people in the room. Next, a model experiment was conducted to understand the movement and overturning of furniture using machine learning (deep learning). Furthermore, a simulation was conducted to verify the influence of the presence or absence of various information on disaster relief activities.
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| Free Research Field |
建築構造・情報学
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| Academic Significance and Societal Importance of the Research Achievements |
学術的意義は、災害救助活動支援システムを対象として、必要な情報の種類、精度、収集方法について、各種実験を通して検証するとともに、情報の活用方法について、シミュレーションにより様々なケースを想定して検証を行った点にある。
社会的意義は、常時、非常時を通して建物内外をきめ細かくセンシングすることで、要介護者の見守りや日常生活における異常検知など、IoT活用の推進へとつなげることができる点にある。
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