Design of Arduino-Based Periodic Cycle Drip Monitoring System on the Web

Citra Kusuma Wardani
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Abstract

Giving intravenous fluids is very useful to support and accelerate the recovery of the patient's condition during the healing period. Problems in handling can have a negative impact on patients who are currently monitoring intravenous fluids using a manual system. To reduce the adverse effects on patients is to design an arduino-based intravenous fluid monitoring tool. The design of this tool is a way of monitoring that can be done at a distance. This tool aims to provide a warning when the intravenous fluid will run out (Â ± 100 ml) using a weight sensor, detect the drip stop using the ldr sensor and detect the intravenous entering the infusion tube using a photodiode. The value obtained from a sensor will be received by Arduino NodeMCU . Then Arduino will send the value which goes to the database then from the database it will enter the web monitoring. Where the web monitoring is in the nurse's room which monitors intravenous fluids remotely. The data from the heavy sensor has 95% accuracy because the data obtained is not affected by conditions from outside the sensor, while the photodiode and LDR data have 90% accuracy because these two sensors are light sensors that can be affected by light from outside.
基于arduino的Web周期滴漏监测系统设计
在康复期间给予静脉输液对支持和加速病人病情的恢复是非常有用的。处理问题可能对目前使用手动系统监测静脉输液的患者产生负面影响。为了减少对患者的不良影响,设计了一种基于arduino的静脉输液监测工具。该工具的设计是一种可以远距离完成的监测方式。该工具旨在使用重量传感器在静脉输液即将耗尽(±100 ml)时提供警告,使用ldr传感器检测滴注停止,并使用光电二极管检测静脉进入输液管。从传感器获得的值将被Arduino NodeMCU接收。然后Arduino将发送到数据库的值,然后从数据库进入web监控。网络监控在护士室远程监控静脉输液。来自重型传感器的数据具有95%的精度,因为获得的数据不受传感器外部条件的影响,而光电二极管和LDR数据具有90%的精度,因为这两个传感器是可以受外部光线影响的光传感器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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