Sistema IoT industrial para la gestión de data de un grupo electrógeno

Abstract

Today, industries face asset management deficits due to high costs, inadequate maintenance, and a lack of accuracy in traditional systems, among others. Another issue is the lack of fuel control in storage systems, where fuel theft by the gallon becomes negligible for traditional monitoring systems. However, implementing an accurate and effective system would help in efficient asset management control. Therefore, I designed a system for generator set management using a sensor network such as the DUT-E CAN fuel level meter, the DFM flow meter, and the CANUp. The overall objective focused on integrating telematics technologies to manage generator set data using industrial IoT technologies. This idea arose because there are shortcomings in the efficient monitoring and management of equipment, specifically related to actual fuel consumption. The methodology was based on applied, deductive, and experimental research methods to verify the system's operation. The results revealed the implementation of bidirectional communication, system development prior to the installation and configuration of a CANUp 27 Genset, a DUT-E fuel level sensor, a DFM fuel flow meter, a DeepSea 7410 MIKI, and a FMS Cocodrile contactless reader. Field tests included the fuel level sensor, flow meter, generator set operation at idle, 25%, and 50%, and latency monitoring, demonstrating the operation of the IIoT system elements.