Automation has become a cornerstone of modern industry, enabling increased productivity, precision, and safety in manufacturing and process control environments. This paper presents an Arduino-based industrial automation system designed to control and monitor industrial equipment using Bluetooth and sensor feedback. The proposed system employs Arduino UNO, HC-05 Bluetooth module, and a relay driver circuit for equipment control, along with temperature, proximity, and gas sensors for environmental monitoring. By combining manual wireless control and sensor-based automation, the system provides a low-cost, flexible, and efficient industrial automation solution. Experimental results demonstrate its ability to enhance operational efficiency and reduce human involvement in hazardous industrial conditions.
Introduction
Industrial automation leverages control systems, such as microcontrollers, to manage machinery and processes, enhancing productivity, safety, and reliability. Arduino, an open-source microcontroller platform, enables cost-effective automation through sensor and actuator integration. This work proposes an Arduino-based industrial automation system with dual-mode operation: Bluetooth manual control via a smartphone app and autonomous sensor-driven control for real-time safety and efficiency.
The system uses Arduino UNO, HC-05 Bluetooth module, relay modules, and sensors (temperature, gas, and proximity) to control motors, conveyor belts, and safety mechanisms. In manual mode, commands are sent via Bluetooth; in automatic mode, sensor readings trigger immediate responses, such as motor regulation or gas leak alarms.
Prototype testing demonstrated a 15-meter Bluetooth range, 1.5-second response for manual commands, and instantaneous automatic reactions. The system is low-cost, modular, safe, and adaptable, though future improvements could address range limitations through IoT or GSM integration.
Conclusion
This paper presents an Arduino-based industrial automation system that integrates Bluetooth communication and sensor-based automatic control. The system enhances operational efficiency, safety, and reliability in industrial settings while maintaining affordability and simplicity. Experimental results confirm that the combination of wireless and sensor-based automation is effective for small- to medium-scale industries. Future improvements may include cloud monitoring, AI-based predictive control, and integration with IoT networks for large-scale applications.
References
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[3] B. Pandey, A. Gupta, “Sensor Integrated Automation for Industrial Monitoring,” IEEE Access, 2020.
[4] D. Patel, M. Gupta, “IoT-Enabled Smart Industry Framework,” International Journal of Scientific Research in Engineering and Management (IJSREM), 2021.
[5] R. Nair, “Embedded System Design for Industrial Automation,” International Research Journal of Engineering and Technology (IRJET), Vol. 9, Issue 4, 2022.