您当前的位置：
首页 >
文章列表页 >
Multi-target intelligent detection method of prefabricated laminated board based on convolutional neural network
Digital Twins and Intelligent Construction | 更新时间：2023-11-28

    • Multi-target intelligent detection method of prefabricated laminated board based on convolutional neural network

    • “In the field of architecture, an intelligent detection method for prefabricated composite panels based on convolutional neural networks has been proposed. Through the YOLOv5 algorithm, the identification and size detection of concrete bottom plates, embedded PVC wire boxes, and extended steel bars have been achieved, effectively improving the factory quality of prefabricated components, reducing labor costs, and accelerating detection speed.”
    • Journal of Civil and Environmental Engineering   Vol. 46, Issue 1, Pages: 93-101(2024)

    • DOI：10.11835/j.issn.2096-6717.2022.026    

      CLC： TU741.2

    • Received：08 November 2021，

      Published：25 February 2024

    移动端阅览

  • YAO Gang,LIAO Gang,YANG Yang,et al.Multi-target intelligent detection method of prefabricated laminated board based on convolutional neural network[J].Journal of Civil and Environmental Engineering,2024,46(01):93-101. DOI： 10.11835/j.issn.2096-6717.2022.026.

  •  
  •  

0

Views

12

下载量

2

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Data quality evaluation method for dynamic response monitoring of bridge cables
Real-time segmentation algorithm of concrete cracks based on M-Unet
An efficient deep learning prediction method for aerodynamic performance based on the shape of the main beam
CNN-LSTM structural strain response prediction model based on feature selection

Related Author

JU Hanwen
XU Run
LIU Shang
ZHONG Guoqiang
ZHANG Qiang
DENG Yang
MENG Qingcheng
LI Mingjian

Related Institution

School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture
Shandong Provincial Communications Planning and Design Institute Group Co., Ltd.
School of Civil Engineering and Geomatics, Southwest Petroleum University
School of Civil Engineering, Southwest Jiaotong University
School of Civil Engineering, Chongqing University
0