IMPLEMENTATION OF CLOUD INTEGRATED SCADA SYSTEMS FOR INDUSTRIAL AUTOMATION

Abstract

Industrial automation systems are undergoing a profound transformation driven by digitalization, large-scale data generation, and the demand for intelligent decision-making. Conventional Supervisory Control and Data Acquisition (SCADA) systems, while highly reliable for localized control, are increasingly limited in their ability to support advanced analytics, remote accessibility, and scalable data management. This paper presents a comprehensive investigation into the implementation of cloud-integrated SCADA systems for industrial automation. A hybrid cloud–edge architecture is proposed in which real-time control functions remain localized, while monitoring, historical data storage, and analytics are migrated to cloud platforms. The system is implemented using industry-standard communication protocols and secure data transmission mechanisms. Performance is evaluated in a simulated industrial environment with emphasis on latency, reliability, scalability, and cybersecurity. Results demonstrate that cloud integration significantly enhances operational visibility and predictive maintenance capability without violating supervisory control constraints when designed appropriately. Security challenges, fault tolerance mechanisms, and practical deployment considerations are examined in detail. The study concludes that cloud-integrated SCADA architectures represent a viable and future-oriented solution for modern industrial automation within the Industry 4.0 paradigm.