AUTOMATION OF INDUSTRIAL MONITORING SYSTEM USING PYTHON AND SENSORS

Abstract

In modern manufacturing environments, continuous monitoring and control of operational parameters are essential for safety, efficiency, and productivity. This work presents a cost-effective industrial automation system developed using Python and a network of sensors integrated with a microcontroller platform. The proposed system acquires real-time data from temperature, gas, motion, and current sensors to monitor equipment health and environmental conditions. Using Python-based data processing and visualization, the system identifies abnormal variations such as overheating, smoke presence, or excessive current consumption and initiates corrective actions automatically. A user-friendly web interface enables remote observation and control of industrial devices, ensuring timely intervention and reduced downtime. The integration of sensor networks with Python scripting demonstrates a scalable and flexible approach to achieving smart industrial automation with minimal human intervention.