EDGE COMPUTING: REVOLUTIONIZING INDUSTRIAL AUTOMATION FOR ENHANCED EFFICIENCY AND RELIABILITY
Keywords:
Industrial Automation, Latency Reduction, Decentralized Processing, Supply Chain Optimization, Interoperability, Quantum Edge ComputingAbstract
Industrial automation is experiencing a significant transformation with the integration of edge computing technologies, which bring computational power closer to data sources, enabling real-time processing and intelligent decision-making at the network edge. This paradigm shift optimizes data analytics and enhances system responsiveness in industrial settings, addressing critical issues such as latency, bandwidth limitations, and reliability concerns associated with traditional cloud-based systems. The paper explores edge computing's applications in industrial automation, including real-time monitoring and control, predictive maintenance, and quality assurance, highlighting benefits like improved operational efficiency, reduced downtime, and enhanced product quality. While implementation challenges such as security concerns, interoperability problems, and data governance issues exist, the potential of edge computing to reshape industrial automation is immense. As technology advances and industry standards evolve, edge computing is poised to unlock new levels of efficiency, reliability, and scalability in industrial processes. The integration of edge computing with emerging technologies like 5G and artificial intelligence promises to further revolutionize the industrial landscape, despite the hurdles that need to be overcome.
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