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Development of an Al-load-cell-based wireless ringer’s solution monitoring and alarm system: insight into vibrational error correction

机译:开发基于AL负载单元的无线振铃的解决方案监控和报警系统:深入了解振动误差校正

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In this study, we developed an aluminum-load-cell-based wireless Ringer’s solution monitoring and alarm (WRMA) system. The Al load cell was designed with a rectangular shape, and the load was concentrated in the lower beam part of the load cell because of the anisotropic thickness. From the static analysis, we identified the appropriate location for a Wheatstone bridge circuit consisting of four strain gauges. In addition, the modal and harmonic analyses showed that the vibrational frequencies of the hospital environment do not seriously interfere with the output voltage of the Al load cell. However, random vibrations generated by the movement of the WRMA system on various surfaces severely increase the standard deviation of the measured solution weight by ±?10?g or more. Such vibrational error is too large because the average weight of Ringer’s solution is 30–40?g at the time of replacing Ringer’s solution. Thus, this error could be confusing for nurses and result in mistakes in the timely replacement of the Ringer’s solution. However, the standard deviation of the measured weight was dramatically reduced to ±?3?g or less by using the vibration correction algorithm developed in the present study.
机译:在这项研究中,我们开发了一种基于铝合金 - 电池的无线振铃机的解决方案监控和报警系统。 Al称重传感器以矩形设计设计,并且由于各向异性厚度,将负载浓缩在负载电池的下梁部分中。从静态分析,我们确定了由四个应变仪组成的惠斯通桥电路的适当位置。此外,模态和谐波分析表明,医院环境的振动频率不会严重干扰Al称重传感器的输出电压。然而,通过各种表面上的WRMA系统运动产生的随机振动严重增加了测量的解决方案重量的标准偏差±10?G或更多。这种振动误差太大,因为在更换铃声的解决方案时,振铃液的平均重量是30-40?g。因此,这种错误可能会对护士混淆,并导致铃声解决方案的及时更换错误。然而,通过使用本研究中开发的振动校正算法,测量重量的标准偏差显着减小到±3?g或更低。

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