建筑信息建模
过程(计算)
计算机科学
虚拟现实
资产(计算机安全)
对象(语法)
工程类
知识管理
人机交互
运营管理
人工智能
计算机安全
操作系统
调度(生产过程)
作者
Vito Getuli,Pietro Capone,Alessandro Bruttini,Tommaso Sorbi
出处
期刊:Construction Innovation: Information, Process, Management
[Emerald (MCB UP)]
日期:2021-09-13
卷期号:22 (3): 504-530
被引量:22
标识
DOI:10.1108/ci-04-2021-0062
摘要
Purpose Health and safety training via immersive virtual reality (VR) in the construction sector is still limited to few early adopters despite the benefits it could provide in terms of training effectiveness. To foster its adoption, in this work, the authors address the lack of an organized asset of digital contents dedicated to the production of VR site scenarios that emerged as one of the most limiting factors for the implementation of building information modeling (BIM) and VR for construction workers’ safety training. To improve this critically time-consuming process, a dedicated site object library is proposed. Design/methodology/approach The development of the site object library for the production of BIM-based VR safety training experiences followed a four-step process: definition of the object list and categories from the analysis of heterogeneous knowledge sources – construction sectors’ regulations, case studies and site scenarios’ imagery; definition of the object requirements (e.g. information, graphics, sounds, animations and more); design of an object information sheet as a library implementation support tool; and library implementation and validation via collaborative VR sessions. Findings This work provides the definition of a structured library of construction site objects dedicated to the production of VR scenarios for safety training comprising 168 items, implemented and validated. Originality/value The research contributes to facilitate and standardize the time-consuming contents’ production and modeling process of site scenarios for VR safety training, addressing the lack of a dedicated site object library. Furthermore, the novel library framework could serve as a base for future extensions dedicated to other applications of VR site simulations (e.g. constructability analysis).
科研通智能强力驱动
Strongly Powered by AbleSci AI