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首页> 外文会议>International Conference on Bioscience, Biotechnology, and Biometrics >Remote Monitoring Systems in Greenhouse based on NodeMCU ESP8266 Microcontroller and Android
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Remote Monitoring Systems in Greenhouse based on NodeMCU ESP8266 Microcontroller and Android

机译：基于Nodemcu ESP8266微控制器和Android的温室远程监控系统

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This study aimed to design a Greenhouse Remote Monitoring system and to immediately evaluate the monitoring system. The Monitoring system was designed based on the NodeMCU ESP8266 microcontroller to expectedly result an Android monitoring display as the output. This research was conducted in Greenhouse at Faculty of Food and Agroindustrial Technology, University of Mataram. An experimental method using greenhouse and hydroponic system was applied to this research. The monitoring system consisted of components that functionally related to each other (NodeMCU ESP8266, Android, DHT11 (temperature and humidity sensor), BH1750 (light sensor), Total Dissolved Solid (TDS) sensors, and other components that further supported by programming language. The observed parameters were the greenhouse temperature (°C); humidity (%); light intensity (lux); and the amount of TDS (ppm). The experiment indicated that the designed monitoring system successfully displayed what the sensor had read then translated it into Android. The average percentage of the Light meter reading errors using the BH1750 sensor (shown) on Android was 2.13%; the average percentage of the hygrometer reading errors using DHT11 sensor on Android was 0.14%; the average value of the thermometer reading errors as well as DHT11 sensor on Android was 0.76%; while the average TDS reading error on Android was slightly above 5% due to increasing temperature inside the greenhouse, especially in the afternoon period.
机译：本研究旨在设计温室远程监控系统，并立即评估监控系统。监控系统是基于Nodemcu ESP8266微控制器设计的，以预期导致Android监控显示为输出。该研究是在Mataram大学食品和农业工业技术学院的温室进行的。采用温室和水耕系统的实验方法应用于本研究。监控系统由彼此功能相关的组件组成（Nodemcu ESP8266，Android，DHT11（温度和湿度传感器），BH1750（光传感器），总溶解的固体（TDS）传感器以及通过编程语言进一步支持的其他组件。观察到的参数是温室温度（°C）;湿度（％）;光强度（LUX）;和TDS的量（PPM）。实验表明，设计的监控系统成功地显示了传感器已读取的传感器进入Android。使用BH1750传感器（所示）在Android上的光抄表误差的平均百分比为2.13％;使用DHT11传感器在Android上的湿度计读数误差的平均百分比为0.14％;温度计读取误差的平均值以及Android上的DHT11传感器为0.76％;而Android的平均TDS阅读误差略高于5％，因为温室内的温度升高，特别是在A中托奈时期。

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