Design and Implementation of a Monitoring and Alert System Applied to the Residential Electrical Network Using NodeMCU
Cavallini-Rodriguez R.; Portillo-Mendoza P. · International Journal of Engineering Trends and Technology (2024) · DOI: 10.14445/22315381/ijett-v72i6p125
Resumen
The object of study of this research is to determine to what extent a monitoring and alert system of a residential electrical network using NodeMCU is efficient, with the purpose of supervising and optimizing the efficiency of electrical power consumption in a home. For this, current data collection techniques were used through the induction sensor, then an electronic analysis technique for voltage reading by voltage division, which consists of scaling the AC input voltage to the reading ranges of the microcontroller in D.C. Finally, the MQTT technique is used for the communication protocol that consists of the transmission of values from a microcontroller to a database via Wi-Fi. In this research, electronic modules were used to capture current and voltage data, and different computer programs, such as Eagle, for the electronic and electrical design of the system; Autodesk Inventor for the development of the schematic of the system components and the design of the prototype of the case that houses the electronic components; UltiMaker Cura 5.2, to configure 3D printing of the case; Arduino IDE, for the development of the ESP32 microcontroller programming code that is carried out in C++ language; Firebase Google, to obtain monitoring and alerts through an IDE interface which was programmed with HTML code and finally Visual Studio Code was used to create the graphical user access interface on the web page. The results demonstrated that this proposal made it possible to optimally monitor and obtain power consumption locally and remotely based on initial magnitudes of voltage, current, and power, obtaining a low error percentage of 0.39% and 3.12% in voltage and current measurements, respectively, comparing them with previously calibrated Fluke brand high precision measuring instruments. In addition, a calculated precision of 97.9289% was obtained for the power based on the values obtained by the instruments. With these parameters, the control algorithm displays the power locally through an LCD screen and remotely through a web page. Finally, the system can notify when an anomaly, such as a power outage, occurs through a notification to Gmail and the website interface.
Instituciones: Universidad Tecnológica del Perú