The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Oct. 21, 2025
Filed:
May. 09, 2025
Jiangxi Transportation Investment Group Co., Ltd., Nanchang, CN;
East China Jiaotong University, Nanchang, CN;
Liyang Institute of Smart City, Chongqing University, Changzhou, CN;
Baidian Li, Nanchang, CN;
Xiangyu Wang, Nanchang, CN;
Junbo Sun, Changzhou, CN;
Fei Wu, Nanchang, CN;
Jianqun Wang, Xiangtan, CN;
Yangqing Liu, Nanchang, CN;
Bo Huang, Xiangtan, CN;
Weixiang Shi, Nanchang, CN;
Qiaoming Guo, Nanchang, CN;
Yufei Wang, Nanchang, CN;
Jiangxi Transportation Investment Group Co., Ltd., Nanchang, CN;
East China Jiaotong University, Nanchang, CN;
Liyang Institute of Smart City, Chongqing University, Changzhou, CN;
Abstract
Provided are a quantification method for microscopic cracks inside 3D printed concrete and a system thereof. Before measuring the microscopic crack images according to relevant standards, firstly, a denoising network, improved attention-guided denoising neural network (IADNet) is adopted. IADNet can extract features from microscopic crack images from different perspectives, perceive noise from multiple levels, and perform denoising processing, greatly improving image quality and enhancing texture details, which is beneficial for training segmentation networks. The combination of IADNet and semantic segmentation algorithm has the ability to finely recognize image information, quantify microscopic crack recognition, overcome the shortcomings of measurement and analysis of microscopic cracks inside 3D printed concrete, and improve construction efficiency and quality.