{"title":"Development of a rule-based system to enhance the data consistency and usability of COBie datasheets☆","authors":"Vishal Kumar, A. Teo","doi":"10.1093/jcde/qwaa083","DOIUrl":null,"url":null,"abstract":"\n Building information modeling (BIM) for facilities management (FM) has been gaining considerable attention. Construction operations building information exchange (COBie) datasheets are conceptualized as an electronic format of data for FM handover extracted from the BIM model and supplemented with information from other sources. To build an efficient COBie datasheet, it is advocated to build and verify data at all stages of design and construction, commonly known as data drops. Nevertheless, data consistency verification is a difficult task pertaining to COBie's complex structure and data representation. This study aims to understand the challenges associated with the COBie datasheet verification and consistency checking process, especially during data drop stages, and develop a solution to mitigate these challenges. The study uses a combined methodology of design thinking and waterfall model from the software development process. The outcome of the research study manifests in a prototype application. The prototype application can help in verifying COBie datasheet consistency during data drop stages. Additionally, this study proposes a new dimension to utilize the COBie datasheet to track various asset-related changes in a project by comparing COBie datasheets and visualizing this data in a visually interactive manner using a property graph model.","PeriodicalId":48611,"journal":{"name":"Journal of Computational Design and Engineering","volume":"19 1","pages":"343-361"},"PeriodicalIF":6.1000,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational Design and Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1093/jcde/qwaa083","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 10
Abstract
Building information modeling (BIM) for facilities management (FM) has been gaining considerable attention. Construction operations building information exchange (COBie) datasheets are conceptualized as an electronic format of data for FM handover extracted from the BIM model and supplemented with information from other sources. To build an efficient COBie datasheet, it is advocated to build and verify data at all stages of design and construction, commonly known as data drops. Nevertheless, data consistency verification is a difficult task pertaining to COBie's complex structure and data representation. This study aims to understand the challenges associated with the COBie datasheet verification and consistency checking process, especially during data drop stages, and develop a solution to mitigate these challenges. The study uses a combined methodology of design thinking and waterfall model from the software development process. The outcome of the research study manifests in a prototype application. The prototype application can help in verifying COBie datasheet consistency during data drop stages. Additionally, this study proposes a new dimension to utilize the COBie datasheet to track various asset-related changes in a project by comparing COBie datasheets and visualizing this data in a visually interactive manner using a property graph model.
期刊介绍:
Journal of Computational Design and Engineering is an international journal that aims to provide academia and industry with a venue for rapid publication of research papers reporting innovative computational methods and applications to achieve a major breakthrough, practical improvements, and bold new research directions within a wide range of design and engineering:
• Theory and its progress in computational advancement for design and engineering
• Development of computational framework to support large scale design and engineering
• Interaction issues among human, designed artifacts, and systems
• Knowledge-intensive technologies for intelligent and sustainable systems
• Emerging technology and convergence of technology fields presented with convincing design examples
• Educational issues for academia, practitioners, and future generation
• Proposal on new research directions as well as survey and retrospectives on mature field.