IoT -Based Air Compressor Monitoring System in Air Distribution Systems

Abstract

With the advancement of automation technology in the industrial world, machine operational monitoring systems have become essential to ensure that machinery can be monitored effectively and its performance maintained. This ensures the continuity of industrial activities and safeguards worker safety. In the workshop of PT. X, auxiliary machines play a crucial role in supporting operations across various divisions, particularly the air compressor. The compressor tank has been modified into two tanks, significantly increasing air storage capacity. However, this modification results in the compressor operating 2-3 times longer under high usage intensity, which accelerates performance degradation and may lead to critical failures. To address these issues, the authors propose developing an IoT-based monitoring and protection system. This system is designed to monitor the condition of the air compressor by observing multiple parameters displayed on an interface panel and a website. In addition to real-time monitoring capabilities, the website also includes a data recording feature that allows users to review monitoring history over a specified time period. To facilitate the planning and execution of this final project, a systematic approach is necessary. The research begins with problem identification based on issues observed in the field. The second stage involves a literature study focusing on air compressors and IoT-based monitoring systems. Following this, the project progresses through phases of planning, component preparation, system design for both hardware and software, data collection, and measurement. The final phase involves analyzing and discussing the data obtained. The measurement results indicate that the readings displayed by the monitoring tool for air pressure, obtained from both the pressure gauge and the pressure sensor on the panel display and website, exhibit minimal discrepancies. Similarly, readings captured by the multimeter and the power meter PM1200 for current and voltage monitoring show small differences when displayed on the panel and website. These discrepancies are primarily attributed to sensor accuracy errors and data transmission delays.

The error values recorded by the sensors are minimal, making the system feasible for real-world industrial applications. This research demonstrates the potential for implementing IoT-based monitoring systems in industrial settings to enhance efficiency, safety, and reliability.