2024, 16(1): 97-103. doi: 10.16670/j.cnki.cn11-5823/tu.2024.01.17
基于文献计量学方法的智能建造研究现状与支撑技术分析
| 1. | 青岛理工大学 土木工程学院，青岛 266555 |
| 2. | 山东建筑大学 交通工程学院，济南 250101 |
| 3. | 沈阳工业大学 建筑与土木工程学院，沈阳 110870 |
An Analysis of Research Status and Supporting Technology of Intelligent Construction by Using Bibliometrics Method
| 1. | College of Civil Engineering, Qingdao University of Technology, Qingdao 266555, China |
| 2. | School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, China |
| 3. | School of Architecture and Civil Engineering, Shenyang University of Technology, Shenyang 110870, China |
引用本文:
韩佳丽, 崔楠楠, 张春巍. 基于文献计量学方法的智能建造研究现状与支撑技术分析[J]. 土木建筑工程信息技术,
2024, 16(1): 97-103.
doi: 10.16670/j.cnki.cn11-5823/tu.2024.01.17
Citation:
Jiali Han, Nannan Cui, Chunwei Zhang. An Analysis of Research Status and Supporting Technology of Intelligent Construction by Using Bibliometrics Method[J]. Journal of Information Technologyin Civil Engineering and Architecture,
2024, 16(1): 97-103.
doi: 10.16670/j.cnki.cn11-5823/tu.2024.01.17
摘要:为了全面了解智能建造领域的研究主题和基础支撑技术，本文以Web of Science（WOS）数据库为主要数据来源，利用可视化工具VOSviewer和CiteSpace，梳理了近15年的相关文献，分别从关键词共现、文献共被引分析等可视化知识图谱中，总结出智能建造领域的研究现状、支撑技术。结果表明：智能建造相关文献发表数量增长显著，美国和中国是研究最活跃的国家，研究主题可划分为9个子领域；当前研究所涉及的支撑技术集中在BIM、数字孪生、3D打印、区块链、物联网及扩展现实技术等9类。最后，根据研究结论提出智能建造研究展望。
Abstract: The present paper sorts out and summarizes the research status of intelligent construction by using bibliometrics research methods and visualization tools VOSviewer and CiteSpace through quantitative and qualitative analysis. Through selecting relevant literatures of the last 15 years in the Web of Science (WOS) database, the paper conducts time series analysis of publication volume, keyword co-occurrence analysis, author and country analysis, journal analysis, and further summarizes the research topics in the field of intelligent construction to figure out the research status, development trend and supporting technology. It is concluded that there is a significant increase in the number of published literatures on intelligent construction in which United States and China are the most active countries; the research topics can be divided into 9 sub-fields.; and the current research mainly focuses on BIM, digital twins, 3D printing, blockchain, Internet of Things, and Augmented Reality. Finally, based on the research findings, prospects for intelligent construction research are discussed.
| [1] |
尤志嘉, 刘紫薇. 工业4.0驱动下建筑业智能化转型升级战略研究[J]. 建筑经济, 2022, 43(03): 21-7. |
| [2] | |
| [3] |
尤志嘉, 郑莲琼, 冯凌俊. 智能建造系统基础理论与体系结构[J]. 土木工程与管理学报, 2021, 38(02): 105-11+18. |
| [4] |
刘占省, 孙啸涛, 史国梁. 智能建造在土木工程施工中的应用综述[J]. 施工技术(中英文), 2021, 50(13): 40-53. |
| [5] |
尤志嘉, 吴琛, 刘紫薇. 智能建造研究综述[J]. 土木工程与管理学报, 2022, 39(03): 82-7+139. |
| [6] |
罗齐鸣, 华建民, 黄乐鹏, 等. 基于知识图谱的国内外智慧建造研究可视化分析[J]. 建筑结构学报, 2021, 42(06): 1-14. |
| [7] |
陈述, 刘雨, 王建平. 基于文献计量学的智能建造知识图谱构建[J]. 科学技术与工程, 2022, 22(14): 5808-16. |
| [8] |
刘新怡, 姜仁贵, 朱记伟, 等. 基于文献计量学的智能建造研究可视化知识图谱分析[J]. 建筑经济, 2022, 43(S1): 821-825. |
| [9] |
熊鑫博, 张九红. 我国智慧建筑研究现状及趋势分析——基于CiteSpace的可视化研究[J]. 智能建筑与智慧城市, 2021, (04): 30-32+8. |
| [10] | |
| [11] |
宋秀芳, 迟培娟. Vosviewer与Citespace应用比较研究[J]. 情报科学, 2016, 34(07): 108-112+46. |
| [12] |
SHUKLA A K, JANMAIJAYA M, ABRAHAM A, et al. Engineering applications of artificial intelligence: A bibliometric analysis of 30 years (1988-2018)[J]. Eng Appl Artif Intell, 2019, 85: 517-532.doi: 10.1016/j.engappai.2019.06.010 |
| [13] |
SANTOS R, COSTA A A, GRILO A. Bibliometric analysis and review of Building Information Modelling literature published between 2005 and 2015[J]. Autom Constr, 2017, 80: 118-136.doi: 10.1016/j.autcon.2017.03.005 |
| [14] |
LIAO L H, QUAN L R, YANG C, et al. Knowledge synthesis of intelligent decision techniques applications in the AECO industry[J]. Autom Constr, 2022, 140: 16. |
| [15] |
LI X, WU P, SHEN G Q P, et al. Mapping the knowledge domains of Building Information Modeling (BIM): A bibliometric approach[J]. Autom Constr, 2017, 84: 195-206.doi: 10.1016/j.autcon.2017.09.011 |
| [16] |
曹树金, 吴育冰, 韦景竹, 等. 知识图谱研究的脉络 流派与趋势——基于SSCI与CSSCI期刊论文的计量与可视化[J]. 中国图书馆学报, 2015, 41(05): 16-34. |
| [17] |
SHKUNDALOV D, VILUTIENE T. Bibliometric analysis of building information modeling, geographic information systems and web environment integration[J]. Autom Constr, 2021, 128: 15. |
| [18] |
SU H N, LEE P C. Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight[J]. Scientometrics, 2010, 85(1): 65-79.doi: 10.1007/s11192-010-0259-8 |
| [19] |
DARKO A, CHAN A P C, ADABRE M A, et al. Artificial intelligence in the AEC industry: Scientometric analysis and visualization of research activities[J]. Autom Constr, 2020, 112: 19. |
| [20] |
XU Y S, CHONG H Y, CHI M. Blockchain in the AECO industry: Current status, key topics, and future research agenda[J]. Autom Constr, 2022, 134: 14. |
| [21] |
AMUELSON O, BJöRK B-C. A longitudinal study of the adoption of IT technology in the Swedish building sector[J]. Autom Constr, 2014, 37: 182-90.doi: 10.1016/j.autcon.2013.10.006 |
| [22] |
蔡诗瑶. 高层建筑自动化与机器人优先发展方向与保障对策研究[D]. 清华大学, 2021. |
| [23] |
SHUKLA A K, JANMAIJAYA M, ABRAHAM A, et al. Engineering applications of artificial intelligence: A bibliometric analysis of 30 years (1988–2018)[J]. Engineering Applications of Artificial Intelligence, 2019, 85: 517-32.doi: 10.1016/j.engappai.2019.06.010 |
| [24] |
ZHANG F, CHAN A P C, DARKO A, et al. Integrated applications of building information modeling and artificial intelligence techniques in the AEC/FM industry[J]. Autom Constr, 2022, 139: 17. |
| [25] |
XIAO B, CHEN C, YIN X F. Recent advancements of robotics in construction[J]. Autom Constr, 2022, 144: 16. |
| [26] |
SAEDI S, FINI A A F, KHANZADI M, et al. Applications of electroencephalography in construction[J]. Autom Constr, 2022, 133: 15. |
| [27] |
GARCIA J, VILLAVICENCIO G, ALTIMIRAS F, et al. Machine learning techniques applied to construction: A hybrid bibliometric analysis of advances and future directions[J]. Autom Constr, 2022, 142: 22. |
| [28] |
ELSEVIER B V. Automation in construction[EB/OL] 2022, |
| [29] |
CHEN C. Science Mapping: A Systematic Review of the Literature[J]. Journal of Data Information Science, 2017, 2(2): 1-40.doi: 10.1515/jdis-2017-0006 |
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