Research on the Efficient Reflection of Inspection Results into BIM/CIM Models in Non-GNSS Environments

2023 Fiscal Year Final Research Report

• Project/Area Number: 21K14223
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 22010:Civil engineering material, execution and construction management-related
• Research Institution: Kyushu University
• Principal Investigator: Kawano Kohei 九州大学, 工学研究院, 助教 (30622948)
• Project Period (FY): 2021-04-01 – 2024-03-31
• Keywords: BIM/CIM / 維持管理 / SLAM

Outline of Final Research Achievements

We investigated and organized 12 technologies related to the creation and matching of 3D models for bridges and were able to identify technologies that seem useful for matching inspection locations with 3D models. Next, we examined 3D models of bridges suitable for inspection record management and were able to build a maintenance management platform to match inspection results. Furthermore, based on the opinions of practitioners responsible for maintenance management, we were able to identify the requirements to consider when developing tools to support inspection tasks while estimating one's own position.

Free Research Field

土木情報学

Academic Significance and Societal Importance of the Research Achievements

我が国ではBIM/CIMモデルを活用した建設土木事業全体の生産性向上について取り組んでいる。本研究では，その下流工程である維持管理・更新の段階において，非GNSS環境下で点検作業者が効率的にBIM/CIMモデルへ点検結果を反映するために必要となる技術を調査・整理した。これにより，LiDAR搭載型スマートフォンという一般普及している端末を用いて，構造物の損傷箇所をBIM/CIMモデルへ効率的に反映するための基礎技術を開発した。