IoT-Based Temperature Monitoring for Optimizing Process Efficiency
摘要
This paper presents a comprehensive review of IoT-based temperature monitoring systems designed to optimize process efficiency, with a focus on applications in reverse osmosis water treatment technologies. The integration of Internet of Things technologies into industrial processes has revolutionized temperature monitoring, offering real-time data collection, analysis, and optimization. Key IoT technologies are explored alongside their roles in improving process reliability and equipment longevity. Temperature plays a critical role in the performance and efficiency of RO membranes, as elevated temperatures can reduce operational cost in desalination processes but also pose challenges to membrane stability and longevity. A conceptual IoT framework is proposed for temperature monitoring, detailing the architecture and algorithms used to detect anomalies and implement corrective actions, further optimizing energy use and system performance. The discussion emphasizes the synergy between IoT technologies and innovative RO membrane designs in achieving sustainable, efficient, and resilient water treatment processes. Challenges related to sensor accuracy, and scalability are addressed. This work highlights the transformative potential of IoT and high-temperature innovations in overcoming the limitations of current desalination systems.