Visual analysis and prospect of tunnel intelligent construction research

被引:0
|
作者
Junxin L. [1 ]
Hehua Z. [1 ,2 ,3 ]
Yi S. [1 ]
机构
[1] College of Civil Engineering, Tongji University, Shanghai
[2] Slale Key Laboratory Lor Disaster Reduction in Civil Engineering, Tongji University, Shanghai
[3] Engineering Research Center of Civil Information Technology, Ministry of Education, Tongji University, Shanghai
关键词
bibliometric analysis; co-occurrence clustering; tunnel intelligent construction; visual analysis;
D O I
10.15951/j.tmgcxb.2022.S2.02
中图分类号
学科分类号
摘要
With the advent of informatization and artificial intelligence, research on tunnel intelligent construction has gradually become a hot topic. Use bibliometric analysis to visualize the literature on intelligent construction, and summarize the research results and development direction of tunnel intelligent construction in China. The development context and key issues of intelligent construction are summarized through the literature. Based on the literature analysis function of CiteSpace software and CNKI, the research status of tunnel intelligent construction is expounded according to the graph of annual publication volume, keyword timeline graph, keyword co-occurrence graph, and source institution co-occurrence graph. The research framework of intelligent construction is sorted out, and the research key points of intelligent construction, such as the mechanization of construction equipment, the collection and processing of construction data, and the establishment of an information integration platform, are further discussed. At present, there have been some achievements in the practice of construction equipment, data acquisition and processing, and information management. With the continuous development of informatization and intelligent technology, intelligent construction has also been given higher expectations, and there is still a large room for development to realize the intelligent construction of the whole process. © 2022 Editorial Office of China Civil Engineering Journal. All rights reserved.
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页码:1 / 11
页数:10
相关论文
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