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Research on Optimization of Big Data Construction Engineering Quality Management Based on RNN-LSTM

机译：基于RNN-LSTM的大数据建设工程质量管理优化研究

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摘要

Construction industry is the largest data industry, but with the lowest degree of datamation. With the development and maturity of BIM information integration technology, this backward situation will be completely changed. Different business data from a construction phase and operation and a maintenance phase will be collected to add value to the data. As the BIM information integration technology matures, different business data from the design phase to the construction phase are integrated. Because BIM integrates massive, repeated, and unordered feature text data, we first use integrated BIM data as a basis to perform data cleansing and text segmentation on text big data, making the integrated data a "clean and orderly" valuable data. Then, with the aid of word cloud visualization and cluster analysis, the associations between data structures are tapped, and the integrated unstructured data is converted into structured data. Finally, the RNN-LSTM network was used to predict the quality problems of steel bars, formworks, concrete, cast-in-place structures, and masonry in the construction project and to pinpoint the occurrence of quality problems in the implementation of the project. Through the example verification, the algorithm proposed in this paper can effectively reduce the incidence of construction project quality problems, and it has a promotion. And it is of great practical significance to improving quality management of construction projects and provides new ideas and methods for future research on the construction project quality problem.
机译：建筑业是最大的数据行业，但具有最低的推迟程度。随着BIM信息集成技术的发展和成熟，这种向后情况将完全改变。将收集来自施工阶段和操作和维护阶段的不同业务数据，以向数据添加价值。随着BIM信息集成技术的成熟，将来自设计阶段的不同业务数据集成为施工阶段。由于BIM集成了大规模，重复和无序的特征文本数据，我们首先使用集成的BIM数据作为在文本大数据上执行数据清理和文本分段的基础，使集成数据成为“清洁有序”的宝贵数据。然后，借助于单词云可视化和群集分析，数据结构之间的关联被挖掘，并且集成的非结构化数据被转换为结构化数据。最后，RNN-LSTM网络用于预测建设项目中钢筋，模板，混凝土，铸造结构和砌体的质量问题，并确定项目实施中的质量问题的发生。通过示例验证，本文提出的算法可以有效地降低建设项目质量问题的发生率，并促销。这对提高建设项目质量管理具有巨大的现实意义，为未来研究建设项目质量问题提供了新的思路和方法。

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  • 来源
    《Complexity》 |2018年第2期|共16页
  • 作者

    Wang Daopeng; Fan Jifei; Fu Hanliang; Zhang Bing;

  • 作者单位

    Lanzhou Univ Technol Sch Civil Engn Lanzhou 730050 Gansu Peoples R China;

    Lanzhou Univ Technol Sch Civil Engn Lanzhou 730050 Gansu Peoples R China;

    Xian Univ Architecture &

    Technol Sch Management Xian 710055 Shaanxi Peoples R China;

    Xian Univ Architecture &

    Technol Sch Management Xian 710055 Shaanxi Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 大系统理论;
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