Published Paper Details:

MiDAS is a cost-effective and scalable automation platform developed to enhance the operational efficiency of small and medium-sized manufacturing enterprises (SMEs). Many SMEs still rely on manual methods for monitoring machine performance, which often leads to delayed maintenance, unexpected equipment failures, and suboptimal production efficiency. Although conventional industrial automation solutions such as PLC and SCADA systems provide robust capabilities, their high cost and implementation complexity make them less accessible to smaller industries. To address this gap, MiDAS integrates affordable Internet of Things (IoT) technologies with practical industrial monitoring needs. The system utilizes low-cost hardware components, including ESP32 microcontrollers, sensors, and a Raspberry Pi functioning as a local server. It captures real-time machine parameters such as punch count, vibration, and energy consumption, and transmits the data wirelessly using the MQTT protocol. The collected data is processed using analytical techniques such as aggregation, threshold-based anomaly detection, moving averages, and linear regression to generate predictive maintenance insights. A web-based dashboard, developed using React, provides real-time visualization of machine status, health metrics, and predictive alerts. By enabling continuous monitoring, early fault detection, and data-driven decision-making at a significantly lower cost than traditional systems, MiDAS empowers SMEs to reduce downtime, improve productivity, and adopt Industry 4.0 practices effectively.