دانلود کتاب اینترنت اشیا برای عملیات هوشمند در صنعت نفت و گاز

Industrial systems, particularly Oil and Gas, are rapidly shifting from human-controlled processes towards closed-loop control systems that leverage massive sensing and computing infrastructure to manage their operations autonomously. This paradigm shift is a key to enable emerging data-intensive and delay-sensitive Industry 4.0 applications, particularly at remote sites, e.g., offshore Oil and Gas (O&G) fields, where the access to computing infrastructure is limited and human resources are scarce. Realizing these systems demands interdisciplinary research and training at the intersection of Industry 4.0 in O&G, modern computing infrastructure (such as a Edge and Cloud), and Machine Learning to nurture the next generations of engineers and scientists who can handle the emerging problems of these systems.