基于物联网的esp8266单片机节点模块家庭自动化训练机的设计与构建

Atmiasri, Maharani Wisudawati Swista Rani
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摘要

目前,教育领域的知识和技术发展迅速,为技术开发领域,特别是培训师领域提供了许多新的思路、方法和创新。家庭自动化是在家庭环境中引入技术,通过远程监控为居民提供便利和保护。基于ESP8266节点MCU和物联网(IoT)的智能家居建模设备使用Blynk作为存储在虚拟专用服务器(VPS)上的监控控制器。该系统使用继电器连接灯、插座和风扇,DHT11传感器检测湿度和温度,火焰传感器检测火灾,MQ-2传感器检测气体泄漏。结果表明:继电器开断的平均滞后时间约为0.12秒,继电器关断的平均滞后时间约为0.12秒,DHT11传感器测热时的平均误差为3.3℃,测冷时的平均误差为- 28.20℃,火焰传感器测火极限不超过20 cm,气体泄漏极限在200 ppm以上。
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DESIGN & BUILD OF HOME AUTOMATION TRAINER USING MCU ESP8266 NODE MODUL BASED ON INTERNET OF THINGS (IOT)
The development of knowledge and technology in the world of education is currently advancing rapidly, providing many new ideas, methods and innovations in the field of technology development, especially trainers. Home automation is the introduction of technology in a home environment to provide convenience and protection for residents by remote monitoring. The smart home modeling device based on the ESP8266 Node MCU and the Internet of Things (IoT) uses Blynk as a monitoring controller that is stored on a Virtual Private Server (VPS). This system uses relays to connect lights, sockets, and fans, the DHT11 Sensor detects humidity and temperature, the Flame Sensor detects fire, and the MQ-2 Sensor detects gas leaks. The results obtained that the average lag time for turning on the relay is about 0.12 seconds and the average turning off the relay is about 0.12 seconds, the average error of the DHT11 Sensor when detecting heat is 3.3O Celsius and when detecting cold is -28.2O Celsius, the limit for detecting fire on the Flame Sensor is a maximum of 20 cm, the limit for gas leakage is set above 200 ppm.
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