大数据 ›› 2021, Vol. 7 ›› Issue (6): 128-137.doi: 10.11959/j.issn.2096-0271.2021066

• 应用 • 上一篇    下一篇

基于ISM的大数据在建筑领域中的应用障碍分析

纪颖波1, 赵子豪1, 姚福义2   

  1. 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
  • 出版日期:2021-11-15 发布日期:2021-11-01
  • 作者简介: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
  • 基金资助:
    北方工业大学重点科学研究方向(2020-2025)资助项目(110052972027/034);北方工业大学重点科学研究方向(2020-2025)资助项目(110052972027/030)

Analysis of application barriers for big data in construction field based on ISM

Yingbo JI1, Zihao ZHAO1, Fuyi2 YAO2   

  1. 1 School of Civil Engineering, North China University of Technology, Beijing 100144, China
    2 School of Management Science and Real Estate, Chongqing University, Chongqing 400044, China
  • Online:2021-11-15 Published:2021-11-01
  • Supported by:
    Key Scientific Research Direction of North China University of Technology (2020-2025) Funded Projects(110052972027/034);Key Scientific Research Direction of North China University of Technology (2020-2025) Funded Projects(110052972027/030)

摘要:

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。

关键词: 大数据, 建筑工业化, 解释结构模型, 障碍因素

Abstract:

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.

Key words: big data, construction industrialization, interpretive structural model, barrier factor

中图分类号: 

No Suggested Reading articles found!