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高速摄像测量加载力。

Indirect Measurement of Loading Forces with High-Speed Camera.

机构信息

Department of Robotics and Mechatronics, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Krakow, Poland.

出版信息

Sensors (Basel). 2021 Oct 6;21(19):6643. doi: 10.3390/s21196643.

DOI:10.3390/s21196643
PMID:34640962
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8512295/
Abstract

In the last few decades, there has been a significant increase in interest in developing, constructing, and using structural health monitoring (SHM) systems. The classic monitoring system should, by definition, have, in addition to the diagnostic module, a module responsible for monitoring loads. These loads can be measured with piezoelectric force sensors or indirectly with strain gauges such as resistance strain gauges or FBG sensors. However, this is not always feasible due to how the force is applied or because sensors cannot be mounted. Therefore, methods for identifying excitation forces based on response measurements are often used. This approach is usually cheaper and easier to implement from the measurement side. However, in this approach, it is necessary to use a network of response sensors, whose installation and wiring can cause technological difficulties and modify the results for slender constructions. Moreover, many load identification methods require the use of multiple sensors to identify a single force history. Increasing the number of sensors recording responses improves the numerical conditioning of the method. The proposed article presents the use of contactless measurements carried out with the help of a high-speed camera to identify the forces exiting the object.

摘要

在过去的几十年中,人们对开发、构建和使用结构健康监测(SHM)系统的兴趣显著增加。经典的监测系统根据定义,除了诊断模块外,还应该有一个负责监测负载的模块。这些负载可以使用压电式力传感器或间接使用应变计(如电阻应变计或 FBG 传感器)进行测量。然而,由于力的施加方式或由于无法安装传感器,这并不总是可行。因此,通常使用基于响应测量来识别激励力的方法。这种方法通常从测量方面来说更便宜且更容易实施。然而,在这种方法中,有必要使用响应传感器网络,其安装和布线可能会导致技术困难,并改变细长结构的结果。此外,许多负载识别方法需要使用多个传感器来识别单个力历史。增加记录响应的传感器数量可以改善方法的数值条件。本文提出了使用高速摄像机进行的非接触式测量来识别从物体中传出的力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/467b/8512295/3bf300deb4c2/sensors-21-06643-g013.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/467b/8512295/139642059ef6/sensors-21-06643-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/467b/8512295/fb4865a35b80/sensors-21-06643-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/467b/8512295/05bc0f4edca0/sensors-21-06643-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/467b/8512295/315c919eee06/sensors-21-06643-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/467b/8512295/7b93fd18632d/sensors-21-06643-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/467b/8512295/2e5039ba80cf/sensors-21-06643-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/467b/8512295/09db02becc31/sensors-21-06643-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/467b/8512295/3bf300deb4c2/sensors-21-06643-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/467b/8512295/e7d4bf7a1d68/sensors-21-06643-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/467b/8512295/42b4dc560688/sensors-21-06643-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/467b/8512295/3df6cf415940/sensors-21-06643-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/467b/8512295/b225c2f74e39/sensors-21-06643-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/467b/8512295/e07ab254d634/sensors-21-06643-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/467b/8512295/139642059ef6/sensors-21-06643-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/467b/8512295/fb4865a35b80/sensors-21-06643-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/467b/8512295/05bc0f4edca0/sensors-21-06643-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/467b/8512295/315c919eee06/sensors-21-06643-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/467b/8512295/7b93fd18632d/sensors-21-06643-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/467b/8512295/2e5039ba80cf/sensors-21-06643-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/467b/8512295/09db02becc31/sensors-21-06643-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/467b/8512295/3bf300deb4c2/sensors-21-06643-g013.jpg

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