Chang Chih-Yuan, Hung San-Shan, Liu Li-Hua, Lin Chien-Pang
Department of Civil Engineering, Feng Chia University, Taichung 40724, Taiwan.
Department of Automatic Control Engineering, Feng Chia University, Taichung 40724, Taiwan.
Materials (Basel). 2018 Nov 30;11(12):2432. doi: 10.3390/ma11122432.
Tiles are commonly used to cover the exteriors of buildings in Taiwan. However, older buildings in Taiwan encounter the problem of tiles falling off due to natural deterioration, which is unsightly, and more importantly, a threat to public safety. Nevertheless, no current method exists that can effectively detect flaws in building tiles in real time. This study combined the fields of civil engineering and automatic control to reduce risks caused by falling tiles by improving real-time detection of at-risk areas. Micro-resistance was combined with fuzzy theory as the logical foundation for evaluating tile status. String-type strain gauges were adopted as sensors to design a smart skin sensory system that could measure signs of deterioration in tile surface lesions. The design was found to be feasible. In the future, it can be further developed for facile real-time assessment of tile status.
瓷砖常用于台湾建筑物的外墙。然而，台湾的老旧建筑存在因自然老化导致瓷砖脱落的问题，这不仅影响美观，更重要的是对公共安全构成威胁。然而，目前尚无能够有效实时检测建筑瓷砖缺陷的方法。本研究结合土木工程和自动控制领域，通过改进对危险区域的实时检测来降低瓷砖掉落造成的风险。将微电阻与模糊理论相结合，作为评估瓷砖状态的逻辑基础。采用弦式应变片作为传感器，设计了一种智能表皮传感系统，该系统能够测量瓷砖表面损伤的劣化迹象。结果表明该设计可行。未来，它可以进一步开发，以便对瓷砖状态进行便捷的实时评估。
