Research on the method of BIM data utilization for contextualization of built environment related IoT

2021 Fiscal Year Final Research Report

• Project/Area Number: 19H02310
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Review Section: Basic Section 23030:Architectural planning and city planning-related
• Research Institution: The University of Tokyo
• Principal Investigator: Yashiro Tomonari 東京大学, 生産技術研究所, 教授 (30239743)
• Project Period (FY): 2019-04-01 – 2022-03-31
• Keywords: IoT / BIM / 空間情報 / コンテクスト

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.

Free Research Field

建築生産

Academic Significance and Societal Importance of the Research Achievements

IoT(Internet of Things)が、建築空間内の生活・活動を支えていくためには、a. センサーなどから多様多種なデジタル情報源を集め、b.コンテクスト（＝住まい手・プロ使い手、建築空間、及び空間を規定する人工物の状況）を認識してその内容をデジタル・データとして記述し、c. これをIoTシステムに入力し、d.人工物を稼働・制御していく　プロセスが切れ目なく進んでいかねばならない。 しかし、b.が隘路になってしまうことが多い。本研究はその隘路を緩和させるために、BIMデータや、メタ空間情報モデルをどのように構成すればよいのかについて知見を得たことにその学術的・社会的意義がある。