THE TECHNOLOGICAL TRENDS AND FUTURE CHALLENGES OF POINT CLOUD PROCESSING TECHNOLOGY FOR THE MAINTENANCE OF CIVIL STRUCTURES

• KADOTA Takanori

  株式会社オリエンタルコンサルタンツ 関東支社

• MIYAMORI Yasunori

  北見工業大学 社会環境系

Bibliographic Information

Other Title

• 構造物の維持管理における点群処理技術に関する技術動向と今後の課題

Abstract

There are numerous in-service structures in modern society, and establishing an efficient management scheme is an urgent issue for the sustainability of our life. The recent digital transformation technologies such as SfM and laser scanning are promising for obtaining detailed as-built information of structures. We investigated the 3D digital modeling techniques for the maintenance of infrastructures especially point cloud data. A literature review of practically used systems for infrastructural resilience management in Japan is conducted. Then, we discussed current challenges and prospects for introducing a 3D model in the maintenance engineering of structures. From the above studies, both laser scanning and structure from motion (SfM) techniques are commonly used to construct point cloud data. UAV and other mobile robot systems enhance the applicability for large-scale infrastructures. On the other hand, the cost of the system and handling large amounts of data are challenging issues, and transformation from the 3D model to structural analysis is also another issue to utilize such information in maintenance engineering.

Journal

• Intelligence, Informatics and Infrastructure

  Intelligence, Informatics and Infrastructure 2 (J2), 333-340, 2021

  Japan Society of Civil Engineers

Keywords

• BIM/CIM
• point cloud
• maintenance
• laser scanning
• SfM

Details

• CRID: 1390008613604651392
• NII Article ID: 130008118351
• DOI: 10.11532/jsceiii.2.j2_333
• ISSN: 24359262
• Text Lang: ja
• Data Source:
  • JaLC
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed