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Proposal for a Maintenance Management System Using Point Clouds

EasyChair Preprint no. 13030

8 pagesDate: April 17, 2024


BIM (Building Information Modeling) is touted for efficient building maintenance and operation. However, transitioning from construction to maintenance poses challenges in information transfer and definitive data before completion. Existing structures often lack BIM, demanding more modeling. Additionally, few maintenance staff are skilled in BIM tools. On the other hand, there are studies utilizing point clouds for maintenance. Since point cloud data can record the current situation in 3D, it has advantages such as easily representing valve positions of equipment compared to deformed BIM data. Attribute information uses the international standard COBie, which can record and manage data necessary for building asset management. Point cloud data is broken down into groups of objects necessary for maintenance management by referencing the Common Specification for Building Preservation. Each decomposed object is assigned a corresponding Uniclass number. In this system, the point cloud data, which represents the shape information of the building, is decomposed into objects based on the Common Specification. Using COBie, the building database is created and tasks related to the objects are organized. Each database and system is then connected using Uniclass. By implementing this system, even buildings completed can easily create BIM data from point clouds. Furthermore, since it complies with the international standard COBie, maintenance tasks can be performed in a standardized format, serving as a bridge to the maintenance management system.

Keyphrases: BIM, Facility Management, point clouds

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Keiki Fukumura and Daisuke Nakagawa and Tomohiko Watanabe and Kenji Otsuka and Shunshi Fujii and Daichi Hashiba and Ryuga Otsuka and Kazuya Shide},
  title = {Proposal for a Maintenance Management System Using Point Clouds},
  howpublished = {EasyChair Preprint no. 13030},

  year = {EasyChair, 2024}}
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