Analysis and Monitoring System of Train Generator Sets Based on Internet of Things (IoT)

HENNY HENNY¹, Agus Heri Setya Budi², Arjuni Budi Pantjawati², Mochamad Ilham Alwi Rifa², Iyan Andriana¹

1. ¹ Universitas Komputer Indonesia
2. ² Indonesia University of Education

International Conference on Informatics Engineering, Science & Technology (INCITEST), 2023

This research aims to create a reliable and monitoring system for train generator sets based on the Internet of Things (IoT) using the Research and Development (R&D) method. The main objective of this research is to obtain a system that can provide real-time information about power factor changes in the generator set and improve the power factor through reactive power compensation by determining the value of capacitors that should be installed to achieve a target power factor of 0,9. The research stages include designing and developing the system using relevant hardware and software components. The system is designed based on components such as PZEM-004T, CT, LM2596 SIM 800L, and ESP32 microcontroller to collect data from the sensors and send it to the server through the internet. Next, the system stores parameter data in the Firebase database. Then, an algorithm is created to recommend capacitor values to improve the power factor with a target of 0.9. Finally, a website is built using ReactJS to display all parameter data and capacitor recommendations. Testing the PZEM-004T sensor showed an error rate of 0.8% to 1.5% in the generator set parameters. From this research, it can be concluded that the reliability and monitoring system for train generator sets based on the Internet of Things (IoT) have been successfully developed. The system can provide real-time information about the power factor and offer capacitor value recommendations with a target power factor of 0,9.

DOI10.1109/incitest59455.2023.10396896Copy