数字化对建筑的影响:利用BIM丰富已建成设施和运营

H. Biswas, Sian Lun Lau, Tze Ying Sim
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引用次数: 1

摘要

3D地面激光扫描(TLS)技术已经在建筑、工程和建筑(AEC)行业中获得了广泛的认可,可以在现有设施中生成和可视化3D点云。此外,建筑信息模型(BIM)也被广泛认为可以将实际建筑的每个组成部分数字化。TLS和BIM的集成已被确立为提高建筑行业质量和绩效的颠覆性技术。除了使用这些技术的所有公认贡献之外,必须解决在为现有设施创建3D BIM模型方面的重大缺陷,以改善设施管理系统的功能和操作。值得一提的是,现有建筑(混凝土墙后)的有效几何建模和语义丰富的物体识别以及点云重叠是激光扫描技术中具有挑战性的问题,最终导致建成设施的BIM模型不完整。在本研究中,通过考虑现有设施的两个真实案例研究来优化建筑行业的设施管理和运营,从而对知识差距做出贡献。然而,本研究的主要重点是介绍当前在为满足指定规范和标准的现有建筑生成有效的3D BIM模型方面所面临的挑战。进一步的研究应考虑到包含更复杂和隐藏对象的更大规模真实案例的问题和更稳健和有效的评估程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of Digitalization in Construction: Enriching As-built Facilities and Operations using BIM
3D Terrestrial Laser Scanning (TLS) technology has achieved massive acceptance to produce and visualise the 3D point clouds of existing facilities in the Architectural, Engineering and construction (AEC) industry. In addition, Building Information Modelling (BIM) is also well recognised to digitalise every component of actual buildings. Integration of TLS and BIM has been established as a disruptive technology to increase the quality and performance of the construction industry. Apart from all these recognised contributions of using the technologies, significant flaws in creating 3D BIM models of existing facilities must be addressed to improve the functionalities and operations in the facility management system. It is worth mentioning that the effective geometric modelling and semantic-rich object recognitions of existing construction buildings (behind the concrete wall) and point cloud overlapping are challenging issues in laser scanning technologies that ultimately lead to incomplete BIM models of as-built facilities. In this study, the contribution to the knowledge gap is represented by considering the two real case studies of existing facilities to optimise facility management and operations in the construction industry. Nevertheless, the main focus of this research is to introduce the current challenges in generating an effective 3D BIM model for the existing buildings satisfying the specified specifications and standards. Further research should consider the issues and more robust and effective evaluation procedures for the larger-scale real case containing more complex and hidden objects.
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