物联网智能手表基于开放技术采集热舒适数据

IF 2 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

HardwareX Pub Date : 2025-03-03 DOI:10.1016/j.ohx.2025.e00633

Julio Landa, Guillermo Barrios, Guadalupe Huelsz

{"title":"物联网智能手表基于开放技术采集热舒适数据","authors":"Julio Landa, Guillermo Barrios, Guadalupe Huelsz","doi":"10.1016/j.ohx.2025.e00633","DOIUrl":null,"url":null,"abstract":"<div><div>This paper presents an IoT smartwatch based on open technologies for thermal comfort data collection. The device performs simplified thermal comfort surveys every hour, collecting data such as clothing insulation level (clo), metabolic activity (met), location, thermal sensation, and thermal acceptance. In addition, it measures two physiological variables: skin temperature and heart rate. The smartwatch is built with low-cost components, including a XIAO ESP32C3 microcontroller, a GY-906 temperature sensor, a MAX30102 heart rate sensor, and Seeed Studio’s XIAO Round Display touchscreen. All collected data are published in real time on an IoT platform that allows remote access to all information. During device registration, the user is prompted to complete a Google Form, where additional data such as gender, age, height, weight, and frequency of air conditioner use are collected. This information, in combination with data from the smartwatch, contributes to a robust database. The ease of use, the design of the device, and its open-source nature make it ideal for the collection of thermal comfort data and its potential use for the generation of adaptative thermal comfort models.</div></div>","PeriodicalId":37503,"journal":{"name":"HardwareX","volume":"22 ","pages":"Article e00633"},"PeriodicalIF":2.0000,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"IoT smartwatch based on open technologies for the collection of thermal comfort data\",\"authors\":\"Julio Landa, Guillermo Barrios, Guadalupe Huelsz\",\"doi\":\"10.1016/j.ohx.2025.e00633\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper presents an IoT smartwatch based on open technologies for thermal comfort data collection. The device performs simplified thermal comfort surveys every hour, collecting data such as clothing insulation level (clo), metabolic activity (met), location, thermal sensation, and thermal acceptance. In addition, it measures two physiological variables: skin temperature and heart rate. The smartwatch is built with low-cost components, including a XIAO ESP32C3 microcontroller, a GY-906 temperature sensor, a MAX30102 heart rate sensor, and Seeed Studio’s XIAO Round Display touchscreen. All collected data are published in real time on an IoT platform that allows remote access to all information. During device registration, the user is prompted to complete a Google Form, where additional data such as gender, age, height, weight, and frequency of air conditioner use are collected. This information, in combination with data from the smartwatch, contributes to a robust database. The ease of use, the design of the device, and its open-source nature make it ideal for the collection of thermal comfort data and its potential use for the generation of adaptative thermal comfort models.</div></div>\",\"PeriodicalId\":37503,\"journal\":{\"name\":\"HardwareX\",\"volume\":\"22 \",\"pages\":\"Article e00633\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"HardwareX\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2468067225000112\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"HardwareX","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468067225000112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}

引用次数: 0

摘要

本文提出了一种基于开放技术的物联网智能手表，用于热舒适数据采集。该设备每小时进行一次简化的热舒适调查，收集诸如服装绝缘水平（clo）、代谢活动（met）、位置、热感觉和热接受度等数据。此外，它还测量两个生理变量：皮肤温度和心率。这款智能手表采用了低成本的组件，包括一个XIAO ESP32C3微控制器、一个gi -906温度传感器、一个MAX30102心率传感器和Seeed Studio的XIAO Round Display触摸屏。所有收集到的数据都实时发布在物联网平台上，该平台允许远程访问所有信息。在设备注册过程中，用户被提示完成谷歌表单，其中收集了性别、年龄、身高、体重和空调使用频率等附加数据。这些信息与来自智能手表的数据相结合，构成了一个强大的数据库。该设备的易用性、设计和开源特性使其成为收集热舒适数据的理想选择，并可能用于生成自适应热舒适模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

IoT smartwatch based on open technologies for the collection of thermal comfort data

查看原文本刊更多论文

IoT smartwatch based on open technologies for the collection of thermal comfort data

This paper presents an IoT smartwatch based on open technologies for thermal comfort data collection. The device performs simplified thermal comfort surveys every hour, collecting data such as clothing insulation level (clo), metabolic activity (met), location, thermal sensation, and thermal acceptance. In addition, it measures two physiological variables: skin temperature and heart rate. The smartwatch is built with low-cost components, including a XIAO ESP32C3 microcontroller, a GY-906 temperature sensor, a MAX30102 heart rate sensor, and Seeed Studio’s XIAO Round Display touchscreen. All collected data are published in real time on an IoT platform that allows remote access to all information. During device registration, the user is prompted to complete a Google Form, where additional data such as gender, age, height, weight, and frequency of air conditioner use are collected. This information, in combination with data from the smartwatch, contributes to a robust database. The ease of use, the design of the device, and its open-source nature make it ideal for the collection of thermal comfort data and its potential use for the generation of adaptative thermal comfort models.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

HardwareX Engineering-Industrial and Manufacturing Engineering

CiteScore

4.10

自引率

18.20%

发文量

124

审稿时长

24 weeks

期刊介绍： HardwareX is an open access journal established to promote free and open source designing, building and customizing of scientific infrastructure (hardware). HardwareX aims to recognize researchers for the time and effort in developing scientific infrastructure while providing end-users with sufficient information to replicate and validate the advances presented. HardwareX is open to input from all scientific, technological and medical disciplines. Scientific infrastructure will be interpreted in the broadest sense. Including hardware modifications to existing infrastructure, sensors and tools that perform measurements and other functions outside of the traditional lab setting (such as wearables, air/water quality sensors, and low cost alternatives to existing tools), and the creation of wholly new tools for either standard or novel laboratory tasks. Authors are encouraged to submit hardware developments that address all aspects of science, not only the final measurement, for example, enhancements in sample preparation and handling, user safety, and quality control. The use of distributed digital manufacturing strategies (e.g. 3-D printing) is encouraged. All designs must be submitted under an open hardware license.