A Bibliometric Review of Visual Computing in Construction Industry

Visual Computing for Industry, Biomedicine, and Art, 2020

引用方式: Wang, H.W., Hu, Z.Z., Lin, J.R.* (2020). A Bibliometric Review of Visual Computing in Construction Industry. Visual Computing for Industry, Biomedicine, and Art, 3, 14. doi: 10.1186/s42492-020-00050-0 http://doi.org/10.1186/s42492-020-00050-0 cited by count

摘要

在建筑施工中,诸如图纸、照片、视频和3D模型之类的视觉表达在存储和表示工程信息方面发挥着重要作用,促进着信息的生成、传输和存储。在建筑行业,先进的可视化技术有助于理解设计内容、工作计划以及其他类型的共享信息。可视数据自动收集与分析为增强施工管理提供了更多可能。视觉计算已被广泛应用于改善工程建设过程,但尚未有该方向的全面的文献综述。本研究使用文献计量学方法对这些研究进行了回顾,并分析该领域知识体系的发展、重要的研究成果和研究趋势。本研究的目的是帮助该领域的新研究者了解知识结构并制定研究方向,从而促进该领域的知识体系发展。本研究得出结论,计算机视觉是该领域今后发展的关键方向之一。此外,建议研究建筑信息模型、激光扫描和其他与可视化相关技术。

In the construction area, visuals such as drawings, photos, videos, and 3D models, play a significant role in the design, build and maintenance of a facility, bringing efficiency to generate, transfer, and store information. Advanced visual computing techniques facilitate the understanding of design contents, work plans, and other types of information shared in the construction industry. Automatic visual data collection and analysis provide many possibilities to the construction industry and a large number of works have investigated how visual computing can improve construction management processes and other problems in the construction area. However, a comprehensive literature review is needed. This study uses bibliometric approaches to review the works published to date, and analyses the development of knowledge, significant research results, and trends. The purpose of this study is to help newcomers to this research field understand knowledge structure and formulate research directions, thereby enhancing knowledge development. From this study, it can be concluded that computer vision is a key axis of improvement. Moreover, building information modeling (BIM), laser scanning, and other visualization-related techniques are also important in advancing the construction area.

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This research was funded by the National Key R&D Program of China (No. 2018YFD1100900), the National Natural Science Foundation of China (No. 51778336, No. 51908323), the Tsinghua University Initiative Scientific Research Program (No. 2019Z02UOT) and the Tsinghua University-Glodon Joint Research Centre for Building Information Model (RCBIM).

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