1. 北方工业大学土木工程学院,北京 100144
2. 重庆大学管理科学与房地产学院,重庆 400044
[ "纪颖波(1975- ),女,博士,北方工业大学土木工程学院教授,主要研究方向为建筑工业化、智能建造、信息化" ]
[ "赵子豪(1996- ),男,北方工业大学土木工程学院硕士生,主要研究方向为建筑工业化、质量控制、人工智能及大数据" ]
[ "姚福义(1993- ),男,重庆大学管理科学与房地产学院博士生,主要研究方向为装配式建筑、质量控制、人工智能及大数据" ]
网络首发:2021-11,
纸质出版:2021-11-15
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纪颖波, 赵子豪, 姚福义. 基于ISM的大数据在建筑领域中的应用障碍分析[J]. 大数据, 2021,7(6):128-137.
Yingbo JI, Zihao ZHAO, Fuyi2 YAO. Analysis of application barriers for big data in construction field based on ISM[J]. Big data research, 2021, 7(6): 128-137.
纪颖波, 赵子豪, 姚福义. 基于ISM的大数据在建筑领域中的应用障碍分析[J]. 大数据, 2021,7(6):128-137. DOI: 10.11959/j.issn.2096-0271.2021066.
Yingbo JI, Zihao ZHAO, Fuyi2 YAO. Analysis of application barriers for big data in construction field based on ISM[J]. Big data research, 2021, 7(6): 128-137. DOI: 10.11959/j.issn.2096-0271.2021066.
大数据在建筑领域的应用程度低、推广缓慢。准确识别大数据在建筑领域中的应用障碍因素,探索因素间的相互影响关系具有重大意义。通过对相关研究工作进行梳理,识别了12个障碍因素。使用解释结构模型(ISM)确定了因素间的相互关系并将其转化为邻接矩阵。通过幂迭代分析建立了可达矩阵,确定了因素的层级关系。最后对因素间的影响传递路径进行研究分析,给出了相应的应对建议,为我国建筑领域的大数据应用推广提供了研究支持。
The application degree of big data in the construction field is low
and the promotion is slow.It is of great significance to accurately identify the factors that hinder the application of big data in the construction industry and explore the interaction between the factors.By sorting out the relevant research work
12 barrier factors were identified.Through using interpretive structure model (ISM)
the relationship between factors was determined and transformed into adjacency matrix.Through power iterative analysis
the reachability matrix was established
and the hierarchical relationship of factors was determined.Finally
the influence transmission path between factors was studied and analyzed
and the corresponding countermeasures were given
which provides research support for the application and promotion of big data in China’s construction field.
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