基于物联网的可可粉磨区空调处理自动化样机

Johan Eko Prasetyo, J. Jamaaluddin
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引用次数: 1

摘要

一个良好的工作环境会影响公司员工的生产力水平。可可粉研磨区制冷机的运行在生产中是非常重要的。冷却机运行的指标有粉尘密度、环境温度、风速。有了控制指标就会提高效率。本研究采用GP2Y1010AUF0F粉尘传感器、DHT22温度传感器、DS18B20传感器、风速传感器作为传感器输入对指示器进行控制。此外,传感器将由Node M CU ESP826模块处理。系统输出将显示在LED和android上。研究结果表明,粉尘传感器的精度为96.12%,DHT22温度传感器的精度为99.80%,DS18B20温度传感器的精度为99.57%,速度传感器的精度为95.89%。在这个原型机中,我们可以监测发动机内灰尘颗粒的空气速度温度和发动机冷却器的温度,并进行密切监测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prototype Automation of Air Conditioning Treatment in the Grinding Area Aneka Cocoa Based on IoT
A good work environment will affect the level of productivity of workers in a company. The operation of the refrigeration machine in the cocoa powder grinding area is very important in production. The indicators for the operation of the cooling machine are dust density, ambient temperature and wind speed. With control on the indicator will increase efficiency. In this study, the indicator is controlled with a GP2Y1010AUF0F dust sensor, a DHT22 temperature sensor, a DS18B20 sensor, and a wind speed sensor as sensor inputs. Furthermore, the sensor will be processed by the Node M CU ESP826 module. System output will be displayed on LED and android. The results of this study indicate the accuracy of the dust sensor is 96.12%, the DHT22 temperature sensor is 99.80%, the DS18B20 temperature sensor is 99.57% and the speed sensor is 95.89%. In this prototype, we can monitor the temperature of the air velocity of dust particles in the engine and the temperature of the engine cooler together and closely monitored.
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