DESIGN AND IMPLEMENTATION OF AN INDUSTRY 4.0 MODEL IN AUTOMATED MANUFACTURING SYSTEMS

This capstone project develops a small-scale Industry 4.0 automation system that demonstrates how conventional factory automation can be enhanced through the integration of the Industrial Internet of Things (IIoT), cloud connectivity, and centralized monitoring.



At the local level, three simulated factory stations are controlled by Siemens S7-1200 PLCs and equipped with industrial sensors and actuators, including motors, to monitor operating conditions and perform physical process control. These stations communicate through a PROFINET industrial network with a central Siemens S7-1500 PLC, enabling production and sensor data to be collected, shared, and coordinated across the system.

To connect the factory network with cloud services, a SIMATIC IoT2050 industrial gateway uses Node-RED and MQTT to transmit selected production and sensor data to AWS IoT Core. Operators can remotely monitor real-time system information through a cloud-based dashboard and send control commands back to the physical automation system.

By integrating PLC control, sensors, actuators, industrial networking, IoT communication, and cloud services, the prototype demonstrates the transition toward a connected, data-driven manufacturing environment, improving remote accessibility, system visibility, data availability, scalability, and centralized decision-making.