| Title |
An Ontology-Based Analysis of Required COBie Data for Using BIM in Facility Management |
| Authors |
Jeong, Hojeong ; Park, Byeongmin ; Jo, Seongbeom ; Yu, Chaeyeon ; Kim, Sungjin |
| DOI |
https://dx.doi.org/10.6106/KJCEM.2024.25.5.063 |
| Keywords |
Building Information Modeling; COBie; Ontology; Facility Management; Data Mapping |
| Abstract |
This study aimed to address the issue that about 92% of domestic BIM orders only focus on the design/drafting stage and the absence of government BIM implementation guidelines for maintainers. Despite the ability of BIM to reduce maintenance LCC by around 20%, such guidelines remain insufficient. In this study, we examined the COBie requirements by comparing 45 maintenance information and Autodesk Revit (2022) inputs with COBie data. As a consequence, the necessary elements correlated with 54 pieces of data across eight spreadsheets (Contact, Space, Type, Component, System, Spare, Job, Document) and there were 13 gaps in information between the construction and maintenance. These were subsequently integrated into the ontology and their associations were evaluated with the Reasoner tool. From the results inferred, it is apparent that the COBie requirements have a correlation with one another. It is essential to carry out a survey among practitioners and a pilot operation to assess performance in the future. This research is anticipated to furnish pivotal data for the implementation of an effective property upkeep system. |