| Budget Amount *help |
¥17,030,000 (Direct Cost: ¥13,100,000、Indirect Cost: ¥3,930,000)
Fiscal Year 2021: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2020: ¥5,850,000 (Direct Cost: ¥4,500,000、Indirect Cost: ¥1,350,000)
Fiscal Year 2019: ¥6,110,000 (Direct Cost: ¥4,700,000、Indirect Cost: ¥1,410,000)
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| Outline of Final Research Achievements |
IoT systems applied in the built environment require a “machine-readable” description of the context relating to the place and the people. The research aims to clarify how BIM data could be classified to describe the context through case studies. It has illustrated the content and the degree of the preciseness of the context-related information could be differed by the method of usage of the IoT systems. For example, some IoT system only requires in what room the sensing data has been collected. In contrast, other IoT systems require the position coordinate of the sensors and spatial relation of objects that affect the performance of the spaces. Such differences suggest the necessity to establish a comprehensively functional classification of BIM data. The research also formulated the idea of universal meta spatial data that can be formulated by BIM data and 3D scanning data from existing buildings.
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