基于热舒适的可穿戴式自动空调控制系统的研制

Ian Joel J. Galarretta, Engr. Joseph Bryan Ibarra, Raiza Marie A. Fronda
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引用次数: 2

摘要

为了用户的方便和舒适,本研究提供了一种可穿戴、便携的无线体温监测设备。Technotemp手腕空调控制器被认为是系统的名称。当用户体温在一定温度范围内时,设备会自动调整空调温度。这项研究表明,衣物绝缘的参与对体温的影响更大。此外,随着时间的推移,提高一个人的活动强度会进一步提高他们的体温。本研究将通过使用CBE(建筑环境中心)热舒适工具来确定适合体温的空调恒温器。它将根据EN-16798标准计算热舒适,热舒适,预测平均投票(PMV)和预测不满意百分比(PPD)。除了衣物绝缘和代谢率(MET)外,该工具还需要输入空气速度、相对湿度、平均辐射温度和空气温度。在30名测试对象中,发现用户的热舒适体温在35.01-36.03°C之间。对于系统的准确性和有效性,将采用主客观两种方法,对一组新的15个测试对象进行测量。对于主观方法,用户将被要求每3分钟就热感觉评估他们的热环境。客观方法将使用华为GT2e智能手表通过他们的压力水平进行测量。结果表明,这些方法的准确率为96.67%。系统的有效性将通过比较我们提出的自动控制器设置与传统方式的控制器来评估。结果表明,自动控制器达到热舒适的时间为37 ~ 37.2 min,而传统设置为48.2 ~ 49 min,有效率为93.33%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing a Wearable Automatic Air Conditioning Control System Based on Thermal Comfort
For the user’s convenience and comfort, the study offers a wireless body temperature monitoring device that is wearable and portable. Technotemp wrist a/c controller is considered to be the name of the system. When the user’s body temperature falls within a temperature range, the device automatically changes the Air conditioning temperature. This study shows that the involvement of clothing insulation can have a greater impact on body temperature. Also, raising the intensity of an individual’s activity level will further increase their body temperature over time. This study will determine the appropriate A/C thermostat with the body temperature by using the CBE (Center for the Built Environment) Thermal Comfort tool. It will calculate thermal comfort according to EN-16798 Standard, thermal comfort, Predicted Mean Vote (PMV) and Predicted Percentage of Dissatisfied (PPD). Besides clothing insulation and metabolic rate (MET), the needed inputs with this tool are air velocity, relative humidity, mean radiant temperature, and air temperature. Among the 30 test subjects, it was found that the thermal comfort body temperature of the user ranges between 35.01-36.03°C. For the system’s accuracy and efficacy, it will be measured by using subjective and objective methods with a new set of 15 test subjects. For the subjective method, users will be asked every 3 minutes to assess their thermal environment in terms of thermal sensation. The objective method will be measured through their stress levels using the Huawei GT2e smartwatch. It was observed that these methods gained an accuracy of 96.67%. The system’s effectiveness will be evaluated by comparing our proposed automatic controller setup with the traditional way controller. It was found that the automatic controller is faster to reach thermal comfort for about 37-37.2 minutes while 48.2-49 minutes for the traditional setup, having an effectiveness rate of 93.33%.
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