2022 Fiscal Year Final Research Report
Distributed Artificial Intelligence Disaster Management System for Complex Disasters
Project/Area Number |
20K11952
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Review Section |
Basic Section 61030:Intelligent informatics-related
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Research Institution | Nagoya Institute of Technology |
Principal Investigator |
Uchiya Takahiro 名古屋工業大学, 工学(系)研究科(研究院), 准教授 (10375157)
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Project Period (FY) |
2020-04-01 – 2023-03-31
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Keywords | 防災システム / マルチエージェント / UGV / UAV / ロボット / 避難誘導 |
Outline of Final Research Achievements |
In this study, we designed and developed a distributed artificial intelligence disaster prevention system for complex disasters such as earthquakes and fires, and addressed the issues of evacuation support technology, such as safe evacuation guidance considering secondary disasters and eliminating congestion during evacuation. In particular, a robot-based evacuation guidance system was devised to reduce the damage caused by fire/smoke to a minimum, assuming a fire in a building on a university campus. Compared with non-robot-based evacuation guidance, this method achieved safe evacuation guidance that takes into account both the effects of fire and the effects of the movement of evacuees, such as the congestion of stairways, and thus reduced the human casualties caused by disasters.
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Free Research Field |
分散人工知能
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Academic Significance and Societal Importance of the Research Achievements |
本研究では,地震・火災等の複合災害を想定した分散人工知能防災システムの設計・開発を行い,自律移動型ロボットを用いたロボットベース避難誘導手法を提案し,2次災害を考慮した安全な避難誘導や避難時混雑解消などの避難支援技術を確立した. 分散エージェント/ロボット群を用いた防災システムに関する知見は,本学キャンパスにおける防災能力の向上に大いに貢献するとともに,他大学・公共施設・商業施設での活用も期待できる.
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