利用物联网优化智能家居温度监控

Indonesian Journal of Innovation Studies Pub Date : 2024-06-11 DOI:10.21070/ijins.v25i3.1170

Dandi Pratama Putra, Shazana Dhiya Ayuni

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引用次数: 0

摘要

本研究旨在利用物联网（IoT）和 Google Sheets 监控住宅温度。通过采用研究与开发（R&D）方法，本研究设计并测试了一种使用 DHT11 传感器、NodeMCU ESP8266 和 LCD 显示屏的温度监控工具。数据集成到 Google Sheets 中，以便实时访问。结果表明，服务效率得到提高，等待时间缩短至 0.41-2.45 分钟，等待的顾客减少，利用率降低。该系统通过提供方便的温度监测改善了生活条件，建议今后的研究延长数据收集时间，以便进行全面分析。亮点高效监测：通过 Google Sheets 获取实时温度数据。集成系统：使用 DHT11 传感器和 NodeMCU ESP8266。研究意义：扩展数据收集以进行全面分析。关键字温度监控、物联网、Google Sheets、DHT11 传感器、NodeMCU ESP8266

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Optimized Smart Home Temperature Monitoring Using IoT

This research aims to monitor residential home temperatures using the Internet of Things (IoT) and Google Sheets. By adopting a Research and Development (R&D) approach, the study designs and tests a temperature monitoring tool with DHT11 sensors, NodeMCU ESP8266, and LCD displays. Data is integrated into Google Sheets for real-time access. The results show improved service efficiency, reducing waiting times to 0.41-2.45 minutes, with fewer waiting customers and lower utilization rates. This system enhances living conditions by providing easy temperature monitoring, recommending future studies to extend data collection periods for comprehensive analysis. Highlight: Efficient Monitoring: Real-time temperature data via Google Sheets. Integrated System: Uses DHT11 sensors and NodeMCU ESP8266. Research Implications: Extend data collection for thorough analysis. Keywoard: Temperature Monitoring, Internet of Things, Google Sheets, DHT11 Sensors, NodeMCU ESP8266

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来源期刊

Indonesian Journal of Innovation Studies

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