预制叠合板构件智能化识别与检测方法研究
DOI:
作者:
作者单位:

山地城镇建设与新技术教育部重点实验室重庆大学

作者简介:

通讯作者:

中图分类号:

TU82

基金项目:

国家科技攻关计划


Research on Intelligent Identification and Detection Method of Prefabricated Laminated Slab
Author:
Affiliation:

Key Laboratory of New Technology for Construction of Cities in Mountain AreaChongqing University,Ministry of Education

Fund Project:

The National Key Technologies R&D Program of China

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    预制叠合板构件质量问题是导致施工现场预制构件不能顺利安装的重要因素之一。预制叠合板构件智能化检测方法可以对叠合板的尺寸、预留孔洞及预埋件位置进行快速检测。基于机器视觉和BIM技术的预制叠合板智能化检测技术,对3块预制叠合板试件进行了特征识别及分析。研究结果表明:该检测方法可以对预制叠合板构件进行图像摄取与图像预处理,并对其特征进行统计,识别预制叠合板尺寸信息,识别预留孔洞及预埋件的数量、尺寸及位置信息,进行快速检测,并判断构件是否合格,提高出厂构件的合格率,降低构件返厂率,从而减少施工成本,降低工期延误风险。

    Abstract:

    The quality problem of prefabricated laminated slab (PLS) is one of the important factors that lead to the failure of prefabricated components in construction. The intelligent detection method of PLS can quickly detect the size of PLS, the reserved holes and the location of embedded parts. Basing on machine vision and BIM technology, three PLSs are taken to feature recognition and analysis by intelligent detection method. The results prove that intelligent detection method can be used for image acquisition and image preprocessing of PLS, and the characteristics of the statistics, the size of PLS, the number of holes and size and location information of embedded parts. Intelligent detection method can quickly detect and judge whether the PLS is qualified. Intelligent detection method can improve the pass rate of factory components and reduce the return rate of components, and hence reduce the construction cost and the risk of project delay.

    参考文献
    相似文献
    引证文献
引用本文
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2020-07-03
  • 最后修改日期:2020-11-02
  • 录用日期:2020-11-23
  • 在线发布日期:
  • 出版日期: