Instrumentation for Real-Time Monitoring in Smart Factories

Abstract

The implementation of real-time monitoring systems is crucial for the success of smart factories, where continuous data acquisition and analysis enable enhanced automation, productivity, and quality control. This paper discusses the key instrumentation technologies employed in smart factories for real-time monitoring, including sensors, data acquisition systems, communication protocols, and control systems. We explore how these systems enable manufacturers to achieve dynamic process optimization, predictive maintenance, and quality assurance by providing real-time insights into production lines. Additionally, the paper addresses the integration of IoT, cloud computing, and AI-driven analytics to enhance the performance and efficiency of real-time monitoring systems. Future trends, including the use of 5G networks and edge computing, are also discussed to highlight the evolution of real-time monitoring in the context of Industry 4.0.