| Project/Area Number |
17360274
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Building structures/materials
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| Research Institution | Keio University |
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Principal Investigator |
MITA Akira Keio University, Faculty of Science and Technology, Professor (60327674)
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| Co-Investigator(Kenkyū-buntansha) |
KANEKO Yoshio Tohoku University, Dept. of Architecture & Building Science, Associate Professor (60312617)
NISHI Hiroaki Keio University, Faculty of Science and Technology, Associate Professor (00365470)
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| Project Period (FY) |
2005 – 2007
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| Project Status |
Completed (Fiscal Year 2007)
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| Budget Amount *help |
¥16,520,000 (Direct Cost: ¥14,900,000、Indirect Cost: ¥1,620,000)
Fiscal Year 2007: ¥7,020,000 (Direct Cost: ¥5,400,000、Indirect Cost: ¥1,620,000)
Fiscal Year 2006: ¥3,900,000 (Direct Cost: ¥3,900,000)
Fiscal Year 2005: ¥5,600,000 (Direct Cost: ¥5,600,000)
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| Keywords | Smart sensors / System identification / Health monitoring / Structural control / Pattern recognition / Neural network / デジタルセンサ / 制振構造 |
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| Research Abstract |
Sustainability of urban structures is dependent on quantitative and reliable information of their conditions, such as levels of deterioration and safety. The structural health monitoring (SHM) system has been extensively studied to acquire the health data and provide information. The SHM requires modern technologies to extract the information relevant to the health of a structure from the enormous amount of data gathered by the system. The integral components of the SUM systems, a smart sensor network far data acquisition, a database server for data storage and management and many diagnosis and prognosis applications using pattern recognition and system identification, were studied. The smart sensor is composed of three boards, a micro network terminal called SUZAKU-V a power supply board and a sensor board. For automatic configuration of the sensor network, the data management system using the star-shape data model and PostgreSQL server was proposed. Sensors and networks, however, can be extended to more novel roles for civil and building engineering applications, such as detecting and recording the histories of environmental conditions and activities of the residents. We call this concept "biofication of living spaces" and consider it an ultimate goal of SHM systems.
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