从砖块到字节:建筑技术中的数据管理导航

Saeed Rokooei, Hossein Naderi, Alireza Shojaei
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引用次数: 0

摘要

随着技术工具、系统和机制的出现,建筑行业的操作系统发生了巨大变化。虽然技术进步涉及软件和硬件的广泛领域,但数据流相关人员在数据可持续性方面发挥着重要作用。数据流以各种要求、互动、后果和资源利用为前提,因此对建筑组织的成功起着至关重要的作用。数据流主题的重要性和相关研究的稀缺性引发了当前的研究,旨在探索建筑公司的数据流以及技术进步对数据流不同阶段的影响。研究的首要问题是:"哪些因素或流程产生的数据无法为建筑企业带来附加值"。在这种情况下,附加值被认为是所有消耗资源(包括成本、人力资源、硬件和软件以及相关挑战)与所生成数据的优势之间的权衡。我们进行了广泛的文献综述,研究了建筑行业数据生成事件的主要里程碑,特别强调了最近的技术进步,如 BIM、VR、AR 和无人机。此外,还对一组负责流程的建筑专业人员进行了调查,以获得经验数据用于补充分析。本文对建筑公司的数据流进行了清晰的分析,有助于决策者设计和实施一致、连贯的数据生成系统,从而为知识体系做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From Bricks to Bytes: Navigating Data Management in Construction Technology
With the advent of technological tools, systems, and mechanisms, the operating system in the construction industry has changed enormously. While technological advancements cover a broad area of software and hardware, those involved in data flow have significant roles in data sustainability. The data flow presupposes various requirements, interactions, consequences, and resource utilization and therefore plays a crucial role in construction organizations’ success. The importance of the data flow subject and the scarcity of pertinent studies provoked the current research, which aimed at the exploration of the data flow in construction companies and the effects of technological advancements on different stages of this flow. The overarching research question was, “what factors or processes generate data that do not add value to the construction organization.” In this context, the added value was considered a tradeoff between all consumed resources, including cost, human resources, hardware and software, and associated challenges on one side and the advantages of data generated on the other side. An extensive literature review was performed to examine the main milestones in the data-generative events in the construction industry, with a special emphasis on recent technological advancements such as BIM, VR, AR, and drones. In addition, a group of construction professionals who were in charge of processes was surveyed to produce empirical data for supplementary analysis. This paper contributes to the body of knowledge by providing a clear analysis of the data flow in construction companies which helps decision-makers to design and implement consistent and coherent data generative systems.
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