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用于智能表面应用的印刷 P(VDF:TrFE)传感器地板砖压力分布研究。

Study of Pressure Distribution in Floor Tiles with Printed P(VDF:TrFE) Sensors for Smart Surface Applications.

机构信息

Joanneum Research Forschungsgesellschaft mbH, Franz-Pichler-Straße 30, 8160 Weiz, Austria.

Parador GmbH, Millenkamp 7-8, 48653 Coesfeld, Germany.

出版信息

Sensors (Basel). 2023 Jan 5;23(2):603. doi: 10.3390/s23020603.

DOI:10.3390/s23020603
PMID:36679399
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9860637/
Abstract

Pressure sensors integrated in surfaces, such as the floor, can enable movement, event, and object detection with relatively little effort and without raising privacy concerns, such as video surveillance. Usually, this requires a distributed array of sensor pixels, whose design must be optimized according to the expected use case to reduce implementation costs while providing sufficient sensitivity. In this work, we present an unobtrusive smart floor concept based on floor tiles equipped with a printed piezoelectric sensor matrix. The sensor element adds less than 130 µm in thickness to the floor tile and offers a pressure sensitivity of 36 pC/N for a 1 cm pixel size. A floor model was established to simulate how the localized pressure excitation acting on the floor spreads into the sensor layer, where the error is only 1.5%. The model is valuable for optimizing the pixel density and arrangement for event and object detection while considering the smart floor implementation in buildings. Finally, a demonstration, including wireless connection to the computer, is presented, showing the viability of the tile to detect finger touch or movement of a metallic rod.

摘要

压力传感器集成在表面上,如地板,可以实现运动、事件和物体检测,而无需像视频监控那样费力且不会引起隐私问题。通常,这需要一个分布式的传感器像素阵列,其设计必须根据预期的用例进行优化,以降低实施成本,同时提供足够的灵敏度。在这项工作中,我们提出了一种基于配备有印刷压电传感器矩阵的地砖的不引人注目的智能地板概念。传感器元件使地砖的厚度增加不到 130 µm,并为 1 cm 像素尺寸提供 36 pC/N 的压力灵敏度。建立了一个地板模型来模拟作用在地板上的局部压力激励如何扩散到传感器层,其中误差仅为 1.5%。该模型对于优化像素密度和排列以进行事件和物体检测非常有价值,同时考虑到建筑物中的智能地板实现。最后,展示了包括与计算机的无线连接的演示,展示了地砖检测手指触摸或金属棒移动的可行性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca66/9860637/3287d408506c/sensors-23-00603-g011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca66/9860637/fc413144c2dd/sensors-23-00603-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca66/9860637/ac1b30b515d2/sensors-23-00603-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca66/9860637/3287d408506c/sensors-23-00603-g011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca66/9860637/d2aaeeceb377/sensors-23-00603-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca66/9860637/ebd7aa1a768b/sensors-23-00603-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca66/9860637/18c64c9169eb/sensors-23-00603-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca66/9860637/8f3ad82b18ae/sensors-23-00603-g008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca66/9860637/ac1b30b515d2/sensors-23-00603-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca66/9860637/3287d408506c/sensors-23-00603-g011.jpg

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