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The convergence of Industrial Automation, Cloud Computing, and the Industrial IoT Devices has sparked a transformative paradigm shift across diverse industries. This synergy harnesses the power of interconnected smart devices, cloud-based data processing, and automated systems to redefine operational landscapes. In this abstract, we explore the intricate integration of these technologies and their collective impact on industrial realms. IoT sensors embedded within machinery facilitate real-time data collection on performance metrics, environmental factors, and machine health. These data streams, propelled through cloud-based infrastructure, undergo robust processing and analysis, enabling predictive maintenance, process optimization, and informed decision-making. The marriage of cloud computing and IoT not only allows for remote monitoring and control but also facilitates agile responsiveness to dynamic operational needs. By leveraging machine learning algorithms, anomalies are identified, allowing preemptive actions to mitigate potential downtime and enhance productivity. Moreover, the scalability and accessibility of cloud systems offer unprecedented flexibility in adapting to evolving industry requirements. However, such integration necessitates robust security measures to safeguard sensitive industrial data transmitted and stored within cloud environments. Encryption protocols, stringent access controls, and resilient authentication mechanisms become paramount to ensure data integrity and confidentiality. This abstract encapsulates the potential of this amalgamation, illuminating its transformative capabilities in optimizing processes, reducing downtime, and fostering cost-efficient, data-driven decision-making across industrial sectors.
Sheeba et al. (Thu,) studied this question.