| 龙士国,刘昳嵘,李心怡,欧阳德威,彭强,彭克军.基于LabVIEW的智能建筑外墙饰面砖脱空识别软件开发[J].,2025,44(1):245-251 |
| 基于LabVIEW的智能建筑外墙饰面砖脱空识别软件开发 |
| Development of intelligent exterior tile wall debonding identification software based on LabVIEW |
| 投稿时间：2023-09-16 修订日期：2024-12-25 |
| 中文摘要: |
| 建筑外墙饰面砖出现脱空现象导致行人出行安全隐患,建筑外墙饰面砖常用锤击检测法识别脱空,识别结果需检测人员的判断,为了进一步提高检测准确率,本文应用LabVIEW开发了智能建筑外墙饰面砖脱空识别软件。该软件基于有限状态机模型开发了数据采集、数据分析和数据管理等功能模块。其中数据分析模块通过提取首波幅值和小波系数积分比特征,运用拉依达准则对数据进行预处理,结合KNN算法构建脱空识别模型来判别饰面砖是否脱空。并通过制作外墙试件进行实验验证,结果表明软件识别试件的脱空识别率达到92%。因此,该软件能有效识别建筑外墙饰面砖脱空的大小和位置,且运行稳定可靠,在实际工程中有较高的应用价值。 |
| 英文摘要: |
| Debonding of exterior wall tiles can present safety hazards to pedestrians. Although the conventional method of identifying tile debonding is through hammer tapping, it still requires expert judgement, leading to inefficiency. This paper introduces a smart software developed using LabVIEW to accurately detect debonding in exterior wall tiles, improving detection precision. The software operates on a finite state machine model that includes functional modules for data acquisition, analysis, and management. The data analysis module extracts features such as the first wave amplitude and integral ratio of wavelet coefficient. The data is preprocessed with the Pauta criterion and combined with the KNN algorithm to formulate a debonding detection model that determines debonding defects in the exterior wall tiles. Experimental verification using fabricated exterior wall specimens showed that the software recognizes 92% of the deflated recognition rate of the specimens. In conclusion, the software accurately identifies the size and location of debonding in exterior wall tiles, providing consistent and reliable performance, and significant practical value in engineering applications. |
| DOI： |
| 中文关键词: 建筑外墙饰面砖 脱空 LabVIEW 软件 |
| 英文关键词: Exterior wall tiles Debonding LabVIEW Software |
| 基金项目:国家自然科学基金项目（面上项目，重点项目，重大项目） |
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