LoRa Module-Based Industrial Parameter Monitoring System Using IoT

This paper presents the development and evaluation of a LoRa-based IoT system for monitoring industrial parameters such as temperature, humidity, noise, pressure, etc. in real-time. The system integrates long-range communication via LoRa technology with IoT-based data visualization and alert systems hosted on cloud platforms. The primary aim of this system is to facilitate reliable, low-power, and cost-effective industrial monitoring in environments where traditional systems fall short due to range limitations, high power consumption, and network congestion. The system demonstrates robust performance with an operational range of up to 15 km in open areas and 3-5 km in industrial settings, minimal power consumption, and an average battery life of 6 to 12 months. Additionally, the system offers real-time alert capabilities, cloud integration, and scalability for large industrial environments. Although some limitations exist, including signal interference and occasional sensor inaccuracies, future enhancements are proposed to address these challenges and extend the system's functionality, particularly with machine learning integration, hybrid communication models, and enhanced battery life solutions. The outcomes highlight the potential of IoT and LoRa technology in enhancing the efficiency and reliability of industrial monitoring systems. Key-words: Industrial Application, Real time monitoring, IoT and LoRa