A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Building curtain wall for construction and installation
The invention relates to the technical field of building curtain walls, and particularly discloses a building curtain wall for construction installation, which is characterized in that a sound detector deployed in a glass curtain wall is used for collecting a sound detection signal as input data; processing the sound detection signal by adopting an artificial intelligence detection technology based on deep learning so as to extract multi-scale implicit feature information of the sound detection signal in different transform domains, the channel attention and the space attention are used for strengthening the channel implicit characteristics and the space implicit characteristics of the glass curtain wall, so that the accuracy of judging the defects of the glass curtain wall is improved, and in this way, the glass curtain wall in the building curtain wall can be subjected to defect self-inspection, so that early warning is generated when the defects are detected, and the defect detection accuracy is improved. And therefore, accidents are avoided, and the use safety of the building curtain wall is ensured.
本申请涉及建筑幕墙技术领域，其具体地公开了一种用于施工安装的建筑幕墙，其通过部署于玻璃幕墙内的声音探测器来采集声音探测信号作为输入数据，然后，采用基于深度学习的人工智能检测技术对所述声音探测信号进行处理以提取出所述声音探测信号在不同变换域下的多尺度隐含特征信息，并且在此过程中，还利用了通道注意力和空间注意力来强化玻璃幕墙的通道隐含特征和空间隐含特征，以利于提高对于玻璃幕墙缺陷判断的精准度，通过这样的方式，可以使得建筑幕墙中的玻璃幕墙能够进行缺陷自检，以在检测出存在缺陷时产生预警，进而避免事故的发生，保证建筑幕墙使用的安全性。
Building curtain wall for construction and installation
The invention relates to the technical field of building curtain walls, and particularly discloses a building curtain wall for construction installation, which is characterized in that a sound detector deployed in a glass curtain wall is used for collecting a sound detection signal as input data; processing the sound detection signal by adopting an artificial intelligence detection technology based on deep learning so as to extract multi-scale implicit feature information of the sound detection signal in different transform domains, the channel attention and the space attention are used for strengthening the channel implicit characteristics and the space implicit characteristics of the glass curtain wall, so that the accuracy of judging the defects of the glass curtain wall is improved, and in this way, the glass curtain wall in the building curtain wall can be subjected to defect self-inspection, so that early warning is generated when the defects are detected, and the defect detection accuracy is improved. And therefore, accidents are avoided, and the use safety of the building curtain wall is ensured.
本申请涉及建筑幕墙技术领域，其具体地公开了一种用于施工安装的建筑幕墙，其通过部署于玻璃幕墙内的声音探测器来采集声音探测信号作为输入数据，然后，采用基于深度学习的人工智能检测技术对所述声音探测信号进行处理以提取出所述声音探测信号在不同变换域下的多尺度隐含特征信息，并且在此过程中，还利用了通道注意力和空间注意力来强化玻璃幕墙的通道隐含特征和空间隐含特征，以利于提高对于玻璃幕墙缺陷判断的精准度，通过这样的方式，可以使得建筑幕墙中的玻璃幕墙能够进行缺陷自检，以在检测出存在缺陷时产生预警，进而避免事故的发生，保证建筑幕墙使用的安全性。
Building curtain wall for construction and installation
一种用于施工安装的建筑幕墙
WU GUOYAO (author) / YANG YUN (author) / JIANG HECHU (author) / YU YIDONG (author) / HUANG GUODI (author)
2023-03-28
Patent
Electronic Resource
Chinese
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