基于Arduino与物联网的婴儿保温箱模拟装置设计与制作

摘要

本研究旨在研制一套婴儿保温箱模拟装置，该装置配备以Arduino UNO为核心、基于物联网（IoT）的温度控制系统。本文采用DHT22传感器测量温度与湿度，并引入模糊逻辑以获得更精确、响应更迅速的温度控制。借助Thinger.io平台可对保温箱实施实时监测与远程控制，使用灵活、便于监管。得益于模糊逻辑，该温度控制系统能够应对保温箱环境中的变化与不确定性，与传统的开关（on-off）控制方式相比响应更为平滑。测试表明，本系统误差率极低，误差值仅为0.97%，说明所测温度与保温箱内的实际状况几乎一致。此外，本文在测试中以小鼠作为早产儿模型，结果显示小鼠体温随保温箱工况平稳而渐进地升高，并在90分钟内达到期望温度。这表明本文的温度控制系统能够为早产儿维持最佳的环境条件。

Abstract

This study aims to create a baby incubator simulator equipped with an internet of things (IoT)-based temperature control system using Arduino UNO. We use a DHT22 sensor to measure temperature and humidity, as well as fuzzy logic to ensure more accurate and responsive temperature control. The Thinger.io platform enables real-time monitoring and control of the incubator, providing flexibility and ease of supervision. With fuzzy logic, the temperature control system can handle changes and uncertainties in the incubator environment, providing a smoother response compared to traditional on-off methods. Testing shows that this system has a very low error rate, with an error value of only 0.97%, meaning that the measured temperature is almost identical to the actual conditions inside the incubator. Additionally, the authors used mice as a model for premature infants in the testing. The results showed that the mice's body temperature increased gradually and stably in line with the incubator conditions, reaching the desired temperature within 90 minutes. This demonstrates that our temperature control system is capable of maintaining optimal environmental conditions for premature infants.