Research on disaster prevention and status monitoring support using energy harvesting wireless sensor
| Project/Area Number |
15K01240
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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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| Research Field |
Social systems engineering/Safety system
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| Research Institution | Central Research Institute of Electric Power Industry |
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Principal Investigator |
Shumuta Yoshiharu 一般財団法人電力中央研究所, 地球工学研究所, 上席研究員 (90371434)
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| Co-Investigator(Kenkyū-buntansha) |
上野 敏幸 金沢大学, 電子情報学系, 准教授 (30338256)
福冨 広幸 一般財団法人電力中央研究所, 材料科学研究所, 上席研究員 (60371324)
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| Research Collaborator |
KITAGAWA Akio 金沢大学, 理工学研究域, 教授 (10214785)
ITO Masahiko 一般財団法人電力中央研究所, 材料科学研究所, 主任研究員 (40556742)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2016: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2015: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | 環境発電 / 無線センサ / 見守り支援 / 磁歪材料 / 振動 / 振動発電 / 加速度センサ / 磁歪 / エナジーハーベスティング / 見守り / 無線ネットワークシステム / 自律型センサ / 地震加速度 / 電源回路 / 動き判定センサ / 双方向通信 / 異常判定 / 自立型センサ / 地域防災 / 無線センシング / クラウドネットワーク / 長期モニタリング |
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| Outline of Final Research Achievements |
In this research，we developed a watching sensor network system that can be remotely monitored human activity and housing performance from daily to emergency. To put it concretely, a motion detection sensor was developed with a device, which generates electricity from daily human activities such as opening and closing of a door. In order to detect any abnormality of human behavior and equipment performance at the time of a disaster, a vibration sensor also was developed that regularly measures the vibration and irregularly measures the seismic waveform during an earthquake. Based on the developed system, we proposed a learning type watching support model that determines abnormality of human behavior and equipment performance with measuring a daily vibration generated by resident activities.
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Report
(4 results)
Research Products
(9 results)
