“扫描到BIM”——用于管理已有建筑和投资组合的技术——对房地产业主有附加值吗?

M. Nadler, C. Ebbing, Agnes Kelm, Matthias Kaufhold, Nahid Khorrami, Jessica Heilemann
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引用次数: 0

摘要

学术辩论和房地产行业调查表明,几何建筑数据(面积大小,如建筑面积)对许多决策者来说尤其重要。看一看建筑的生命周期,很明显,建筑数据被用于不同的过程阶段和管理任务,例如成本计算、技术规划、项目控制、市场营销、合同、估价、设施管理以及融资。为此,房地产管理需要的是一个连接的单一数据库,其中可视化和字母数字信息是链接的,并且数据是动态调整的。虽然这个数据库可以在经典(新)房地产开发过程中通过实施“建筑信息模型”(BIM)从零开始创建,但现有文献揭示了在既有建筑的再开发过程中存在的问题。在这里,开发商和投资者经常发现不完整、分散、过时和不一致的建筑信息,这些信息很少被数字化,因此无法与新开发物业的标准相提并论。这不仅会产生信息风险,还会导致非常耗时且容易出错的构建分析和尽职调查过程(手工完成)。虽然不正确的建筑数据对单个物业的影响可能很小;管理任务越大,可靠的数字数据库的影响就越大。由于城市环境的竞争压力,对既有建筑进行物业改造的必要性上升,这一问题对房地产业主来说变得越来越重要。新技术有可能克服这些问题。利用3d激光扫描、移动地图系统或360摄像头系统以及支持bim的软件系统捕获建筑数据,是房地产行业改善现有建筑数据库的潜在工具,可用于现有建筑的所有未来生命周期阶段。然而,这些工具目前很少被房地产行业的参与者使用,这就是为什么没有广泛传播和研究这种新的数字解决方案与模拟二维建筑信息(例如纸清单和单独的计划)相比的附加价值。为了弥补这一研究空白,本文将反映研究现状(文献综述),并针对可疑信息风险提出一种基于指标的既有房地产建筑分类体系(类似于ABC分析法)。这第一步有助于从现有的房地产投资组合中选择房产。案例研究用于比较已有的数据库和新的3d建模解决方案(基于“扫描到BIM”工作流)。这就为房地产投资者、开发商和资产管理公司提供了关于这些技术在现有建筑管理过程中的附加价值的第一个结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
“Scan to BIM”-technologies for the management of pre-existing buil-dings and portfolios – is there an added value for real estate owners?
Scholarly debates as well as real estate industry surveys show that geometric building data (area sizes such as building floor areas) in particular are of great importance to many decision-makers. Taking a look at the building life cycle it becomes clear that building data is used in different process stages and management tasks e.g. cost calculation, technical planning, project controlling, marketing, contracting, valuation, facility management as well as financing. For this purposes, what real estate management need is a connected single data base, where visual and alphanumeric information is linked and data adapted dynamically. While this database can be created from scratch in the classical (new) real estate development process by implementing “Building Information Modelling” (BIM), existing literature reveals the problematic situation in the redevelopment process of pre-existing buildings. Here, developers and investors often find incomplete, decentralised, outdated and inconsistent building information that is rarely digitized and therefore not comparable to the standards of new developed properties. This creates not only an information risk, it ends in a very time consuming and error-prone building analysis and due diligence processes (done by hand). While the impact of incorrect building data on a single property may be small; as bigger the management tasks become, the greater impact a reliable digital database could have. Since the necessity of property redevelopments in existing buildings rises because of competitive pressure in urban environments, this problem is getting more and more important for real estate owners.New technologies have the potential to overcome these problems. Building data capturing with 3D-laser-scanning, mobile mapping systems, or 360-camera systems as well as BIM-enabled software systems are possible instruments for the real estate industry to improve the pre-existing building data base for all future lifecycle phases of existing buildings. However, these tools are currently very rarely used by actors in the real estate sector, which is why there is neither widespread dissemination nor research on the added value of such new digital solutions compared to analogue 2D building information (for example paper lists and separate plans).In order to close this research gap, the current state of research (literature review) is reflected and an indicator-based classification system for existing real estate buildings (similar to an ABC analysis) in relevance to suspected information risks will be presented. This first steps help to select properties from an existing real estate portfolio. Case studies are used to compare pre-existing databases and new 3D-modelling solutions (based on a “Scan to BIM” workflow). This allows first conclusions regarding the added values of these technologies in the management process of existing buildings for real estate investors, developers and asset manager.
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