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Abstract
The IMO International Maritime Organization has recently issued new regulations on reducing CO2 emissions as well as research and initiatives on green marine transportation leading to efforts to improve efficiency of systems. Monitor energy systems are given high priority. The article focuses on monitoring the energy consumption of air compressor systems on ships to evaluate the energy efficiency of air compressors and diagnose some common problems with air compressors on a ship. The power consumption of the air cleaner is continuously measured in real time and transmitted data to the monitoring computer at the center using IoT technology. In addition, the pressure and temperature of the compressed air are also monitored. The results obtained are compared with the parameters when the compressor is running normally and alert the operator when the parameters have abnormal changes due to the compressor problem such as leaks or the compressed air cooling temperature is too high. The AI-based prediction model has been used as an evaluation tool to improve the energy efficiency of air compressors during operation.