论文标题
让我们用振动振动：通过低成本振动增强结构工程
Let's Vibrate with Vibration: Augmenting Structural Engineering with Low-Cost Vibration Sensing
论文作者
论文摘要
使用低成本的压电传感器来感知结构振动，在增强结构工程方面具有巨大的潜力，这在文献中尚待探索，据我们所知。这种未探索的增强的例子包括分类多种结构（例如建筑物，天桥，脚桥等），以及在结构的不同高度和相关高度下产生的振动程度。因此，为了探索这些案例，我们开发了一种基于低成本的压电传感器的振动传感系统，旨在远程收集来自多元化的民用结构的真实振动数据。我们通过严格的统计和基于机器学习的分析来研究收集的感知数据，以对五种不同类型的结构进行分类。我们的分析可实现高达97％的分类精度，F1得分为0.97。尽管如此，在很少探索的时间域中，我们的分析揭示了在结构的不同高度与相关高度产生的振动之间的新型关系，这是在文献早期使用昂贵传感器的频域中探索的。
Using low-cost piezoelectric sensors to sense structural vibration exhibits great potential in augmenting structural engineering, which is yet to be explored in the literature to the best of our knowledge. Examples of such unexplored augmentation include classifying diverse structures (such as building, flyover, foot over-bridge, etc.), and relating the extent of vibration generated at different height of a structure and the associated height. Accordingly, to explore these cases, we develop a low-cost piezoelectric sensor-based vibration sensing system aiming to remotely collect real vibration data from diversified civil structures. We dig into our collected sensed data to classify five different types of structures through rigorous statistical and machine-learning-based analyses. Our analyses achieve a classification accuracy of up to 97% with an F1 score of 0.97. Nonetheless, in the rarely explored time domain, our analyses reveal a novel modality of relation between vibration generated at different heights of a structure and the associated height, which was explored in the frequency domain earlier in the literature with expensive sensors.
