增强现实和混合现实在智能设施管理中的应用:系统综述

IF 3.5 Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY
Amna Salman, Wasiq Ahmad
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引用次数: 1

摘要

目的设施的运营和维护成本通常占建筑物总生命周期成本的60%至85%,而其设计和施工成本仅占5%至10%。因此,加强和优化设施的运维是一个至关重要的问题。此外,随着建筑物操作系统的复杂性不断增加,需要更先进的技术解决方案来主动维护设施。因此,需要一种能够优化和降低设施维护成本的工具。其中一种解决方案是增强现实或混合现实(AR/MR)技术,它可以减少维修时间、培训时间并简化检查。因此,本研究的目的是通过对2015年至2022年间发表的文章的分析和分类,建立AR/MR在设施运营和维护中应用的背景知识,并提出一个实施框架,进行了系统的文献综述。系统评价和荟萃分析的首选报告项目(PRISMA)协议用于搜索和描述搜索策略。通过概念映射技术识别关键词。Scopus数据库和Google Scholar用于查找相关文章、书籍和会议论文。使用VOS Viewer进行了全面的文献计量分析,随后对选定的出版物进行了主题分析。发现AR/MR在设施运维中的使用可分为五个不同的应用领域:(1)可视化;(2) 维护;(3) 室内定位;(4) 信息管理和(5)室内环境。通过对文献的专题分析,发现维修和室内定位是最常用的研究应用领域。还介绍了FM中AR/MR的时间演变以及出版物的来源,这些出版物表明该技术已脱离起步阶段,可以实施。然而,文献显示,阻碍这一目标的许多挑战,即(1)组织领导层不愿承担员工的硬件和培训成本,(2)FM中缺乏BIM的使用,以及(3)系统滞后、崩溃且无法注册真实环境。提出了克服这些挑战的初步框架。独创性/价值本研究涵盖了设施运维中的各种应用领域。这些出版物是从现有文献中系统地挑选出来的,然后进行了审查,以展示各种AR/MR应用程序来支持FM。在FM中没有关注AR和/或MR的文献审查,本文不仅介绍了其应用程序,还开发了实施框架,填补了这一空白。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of augmented reality and mixed reality applications for smart facilities management: a systematic review
PurposeThe Operations and Maintenance (O&M) cost of a facility is typically 60–85% of the total life cycle cost of a building whereas its design and construction cost accounts for only 5–10%. Therefore, enhancing and optimizing the O&M of a facility is a crucial issue. In addition, with the increasing complexities in a building's operating systems, more technologically advanced solutions are required for proactively maintaining a facility. Thereby, a tool is needed which can optimize and reduce the cost of facility maintenance. One of the solutions is Augmented or Mixed Reality (AR/MR) technologies which can reduce repair time, training time and streamline inspections. Therefore, the purpose of this study is to establish contextual knowledge of AR/MR application in facilities operation and maintenance and present an implementation framework through the analysis and classification of articles published between 2015 and 2022.Design/methodology/approachTo effectively understand all AR/MR applications in facilities management (FM), a systematic literature review is performed. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) protocol was followed for searching and describing the search strategies. Keywords were identified through the concept mapping technique. The Scopus database and Google Scholar were employed to find relevant articles, books and conference papers. A thorough bibliometric analysis was conducted using VOS Viewer and subsequently, a thematic analysis was performed for the selected publications.FindingsThe use of AR/MR within facilities O&M could be categorized into five different application areas: (1) visualization; (2) maintenance; (3) indoor localization and positioning; (4) information management and (5) indoor environment. After a thematic analysis of the literature, it was found that maintenance and indoor localization were the most frequently used research application domains. The chronological evolution of AR/MR in FM is also presented along with the origin of publications, which showed that the technology is out of its infancy stage and is ready for implementation. However, literature showed many challenges hindering this goal, that is (1) reluctance of the organizational leadership to bear the cost of hardware and trainings for the employees, (2) Lack of BIM use in FM and (3) system lagging, crashing and unable to register the real environment. A preliminary framework is presented to overcome these challenges.Originality/valueThis study accommodates a variety of application domains within facilities O&M. The publications were systematically selected from the existing literature and then reviewed to exhibit various AR/MR applications to support FM. There have been no literature reviews that focus on AR and/or MR in the FM and this paper fills the gap by not only presenting its applications but also developing an implementation framework.
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来源期刊
Smart and Sustainable Built Environment
Smart and Sustainable Built Environment GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY-
CiteScore
9.20
自引率
8.30%
发文量
53
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