Publication Date: 2023/04/13
Abstract: This project presents an internet of things (IoT) based generator monitoring system of engine performance, stability, oil level and battery level equipped with mobile app control. An Internet of Things is an interconnected system of distinctively addressable physical items with various degrees of processing, sensing, and actuation capabilities that share the ability to interoperate and communicate through the Internet as their joint platform. On board a ship power supply is essential as such even ashore. At shore, generators are manually monitored by site operators and the process of monitoring engine performance are not sufficient enough which has led to frequent engine break down, and excess cost of maintenance. There have been cases of power outage for days and weeks because of unprofessional practices and carelessness of engine operators there by impacting huge loses. This problem has lingered and caused serious concerns. Therefore, this work introduced Wi-Fi enable internet of things (IoT) based remote monitoring process to address the unprofessional practices of engine operators. The system uses Gyroscope sensor, Magnetic field instrument sensor (MGF), MG-Oil quality sensor and DS18B20 for the effective monitoring of the generators parameters being mentioned above. However, low power and low cost microcontroller ESP32 board and i2C module also provide a very flexible pattern for sharing operational data through Wi-Fi. Advance C++ programming language was also used to establish a stable communication cycle. The system transmitter was carefully designed and tested. The result shows that the developed system perfectly starts the generator and monitored the oil level, battery health, stability, engine performance and transmitted the status via wireless connection to the operator’s mobile phone. With this, generators can be monitored remotely with a high working efficiency.
Keywords: Internet of Things, Mobile App Control, Transmitter, Wi-fi Enabled IoT.
DOI: https://doi.org/10.5281/zenodo.7825186
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23MAR1758.pdf
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