Keywords
edge computing
smart industry
real-time analytics
industrial automation
Industry 4.0
Abstract
This article explores the integration of Internet of Things and edge computing technologies in smart industrial environments, emphasizing their combined impact on operational efficiency, responsiveness, and system intelligence. As industries evolve toward digitalization and autonomy, traditional centralized computing models struggle to process the vast amounts of real-time data generated by IoT devices. Edge computing addresses these limitations by enabling decentralized data processing closer to the data source, significantly reducing latency and enhancing system reliability. The paper examines how IoT devices function as sensors and data generators, while edge nodes provide localized analytics, control, and decision-making. Key applications such as predictive maintenance, real-time quality control, and energy optimization are discussed alongside challenges related to interoperability, cybersecurity, and data governance. The role of emerging technologies such as 5G, AI, and digital twins is also analyzed, demonstrating how these innovations amplify the benefits of IoT-edge integration. Ultimately, the article highlights how this technological convergence forms the backbone of Industry 4.0, supporting adaptive, efficient, and intelligent industrial systems.
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