B. Naticchia, A. Corneli, F. Bosché, Lorenzo Principi
{"title":"Augmented Reality Application Supporting On-Site Secondary Building Assets Management","authors":"B. Naticchia, A. Corneli, F. Bosché, Lorenzo Principi","doi":"10.3311/ccc2019-110","DOIUrl":null,"url":null,"abstract":"Secondary building assets management requires a large amount of information related to them. Nevertheless, building assets surveys are cost and time demanding, especially because they need long post-processing efforts in order to systematize collected data. Furthermore, with the recent transition towards the BIM methodology for building management also modeling building objects both in their geometric features and in their related information is a long process and error-prone task. Under these circumstances the possibility of performing the majority of operation on-site would definitely make the process more efficient and it would reduce errors. Augmented Reality (AR) with its capability of overlapping digital data to the real scene is the right tool to support operators on-site. The proposed system has the aim of reducing the time of secondary building assets survey and provide a tool for the automatic enrichment of BIM models. An AR device (Hololens) with an embedded computer and a neural compute stick constitute the portable on-site system for the automatic recognition of assets objects, removing the necessity of reworking data off site. A trained Deep Learning Neural Network inside the neural compute stick performs the recognition providing the operator with objects features and position. The AR application inside the Hololens operates as an interface between the user and the digital information just created. Finally, data is stored in a NoSQL database linked to the BIM model so as to be available for further operations. The visually supporting information provided by the AR tool, the possibility of working on data directly on site and the portability of the system represent means for increasing efficiency in survey operations. First tests have been conducted so as to prove the feasibility of the system and its use on site without further equipment. © 2019 The Authors. Published by Budapest University of Technology and Economics & Diamond Congress Ltd. Peer-review under responsibility of the scientific committee of the Creative Construction Conference 2019.","PeriodicalId":231420,"journal":{"name":"Proceedings of the Creative Construction Conference 2019","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Creative Construction Conference 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3311/ccc2019-110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
增强现实应用支持现场二级建筑资产管理
二级建筑资产管理需要大量的相关信息。然而,建筑资产调查的成本和时间要求很高,特别是因为它们需要长时间的后处理工作,以便将收集的数据系统化。此外,随着最近建筑管理向BIM方法的过渡,对建筑对象的几何特征和相关信息进行建模是一个漫长的过程,而且容易出错。在这种情况下,在现场进行大部分操作的可能性肯定会使这一过程更有效率,并减少错误。增强现实(AR)具有将数字数据与真实场景重叠的能力,是支持现场操作人员的合适工具。该系统旨在减少二次建筑资产调查的时间,并为BIM模型的自动丰富提供工具。AR设备(Hololens)与嵌入式计算机和神经计算棒组成了便携式现场系统,用于自动识别资产对象,消除了在场外重新处理数据的必要性。神经计算棒内部经过训练的深度学习神经网络执行识别,为操作员提供物体的特征和位置。Hololens内部的AR应用程序作为用户和刚刚创建的数字信息之间的接口。最后,将数据存储在与BIM模型链接的NoSQL数据库中,以便后续操作。增强现实工具提供的视觉辅助信息、直接在现场处理数据的可能性以及系统的可移植性都是提高调查作业效率的手段。已经进行了第一次试验,以证明该系统的可行性及其在现场使用的可行性,而无需进一步的设备。©2019作者。由布达佩斯科技经济大学和钻石大会有限公司出版。由2019创意建设大会科学委员会负责同行评审。
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