Evaluation of Mixed Reality Support for Bridge Inspectors Using BIM Data

Q1 Social Sciences i-com Pub Date : 2022-07-19 DOI:10.1515/icom-2022-0019
Urs Riedlinger, F. Klein, Marcos Hill, Christian Lambracht, Sonja Nieborowski, R. Holst, Sascha Bahlau, L. Oppermann
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Abstract

Abstract Bridge inspectors work for the safety of our infrastructure and mobility. In regular intervals, they conduct structural inspections – a manual task with a long-lasting and firmly normed analogue tradition. In our collaborative research project, we developed Mixed Reality (MR) and Virtual Reality (VR) prototypes to support that work digitally. We propose a mixed analogue and digital workflow using Building Information Modeling (BIM) data that can be ready-to-hand for bridge inspectors during their work on-site at a bridge. In this paper, we describe the system and the evaluation results of our final MR demonstrator at a autobahn-bridge in Germany. We identified a need for a digital MR tool to support the bridge inspection in-situ. In general, this matches with the trend to bring the computer-supported office-work out into the real world. However, there are also challenges to consider, like lacking BIM data for existing bridges and structures, appropriate user-interfaces in this new application domain, or the need to adopt norms and guidelines for public tender. We argue to consider a user-centered design approach for future developments to best profit from the bridge inspectors’, as well as the MR- and CSCW-researchers expertise, and ultimately increase the acceptance of the developed information systems.
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利用BIM数据评估桥梁检查员的混合现实支持
桥梁检查员的工作是为了我们的基础设施和交通的安全。他们定期进行结构检查,这是一项具有长期和严格规范的模拟传统的手动任务。在我们的合作研究项目中,我们开发了混合现实(MR)和虚拟现实(VR)原型,以支持数字化工作。我们提出了一个使用建筑信息模型(BIM)数据的混合模拟和数字工作流程,可以为桥梁检查员在桥梁现场工作期间提供现成的数据。在本文中,我们描述了我们的系统和最终MR演示器在德国高速公路桥梁上的评估结果。我们确定需要一种数字MR工具来支持桥梁的现场检查。总的来说,这符合将计算机支持的办公室工作带入现实世界的趋势。然而,也有一些挑战需要考虑,比如缺乏现有桥梁和结构的BIM数据,在这个新的应用领域中适当的用户界面,或者需要采用公开招标的规范和指导方针。我们主张在未来的发展中考虑以用户为中心的设计方法,以最大限度地从桥梁检查员以及MR和cscw研究人员的专业知识中获益,并最终提高已开发信息系统的接受度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
i-com
i-com Social Sciences-Communication
CiteScore
3.80
自引率
0.00%
发文量
24
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