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Implementation of the IoT-Based Electrical Quantity Monitoring System at the Electrical Installation Laboratory, Metal Industry Polytechnic of Morowali

机译:在莫罗瓦利金属工业理工学院电气安装实验室实施基于物联网的电量监测系统

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This study aims to determine the value of electrical quantities in the form of voltage, current, power factor, power, and frequency of resistive loads and inductive loads on single-phase power lines in real-time and accurately at the Electrical Installation Laboratory, Metal Industry Polytechnic of Morowali. This research is made in the form of a prototype of an electric quantity monitoring system that can be obtained in real-time using IoT devices. This research uses several IoT devices, such as the Node MCU ESP8266, PZEM004T sensor, Liquid Crystal Display (LCD) & I2C Interface, as well as internet services in the form of thinkspeak as an interface for IoT-based monitoring results. After doing the testing and analysis, then the magnitude of the voltage, current, power factor, power, and frequency at the electrical load of 2 100 W lamps, 2 75 W lamps, 2 9 W lamps, and 2 750 W induction motors respectively are 226.83 V, 14.6693 A, 0.33, 1.103 kW, and 50.13 Hz. The error between the results of monitoring and measurement is 0.046% at 19.00 WITA and 0.11% at 22.00 WITA. Thus the prototype monitoring system can be implemented in the Electrical Installation Laboratory, Metal Industry Polytechnic of Morowali.
机译:本研究旨在在莫罗瓦利金属工业理工学院电气安装实验室实时准确地确定单相电力线上电阻负载和电感负载的电压、电流、功率因数、功率和频率形式的电量值。这项研究是以电量监测系统原型的形式进行的,该系统可以使用物联网设备实时获取。本研究使用了几种物联网设备,如节点MCU ESP8266、PZEM004T传感器、液晶显示器(LCD)和I2C接口,以及thinkspeak形式的互联网服务,作为基于物联网的监测结果的接口。在进行测试和分析后,2个100 W灯、2个75 W灯、2个9 W灯和2个750 W感应电机在电气负载下的电压、电流、功率因数、功率和频率分别为226.83 V、14.6693 A、0.33、1.103 kW和50.13 Hz。监测和测量结果之间的误差在19.00 WITA时为0.046%,在22.00 WITA时为0.11%。因此,原型监控系统可以在莫罗瓦利金属工业理工学院电气安装实验室实现。

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