Process Safety and Big Data (eBook)

Process Safety and Big Data discusses the principles of process safety and advanced information technologies. It explains how these principles are applied to the process industry and provides examples of applications in process safety control and decision support systems.This book helps to address problems that researchers face in industry that are the result of increased process complexity and that have an impact on safety issues. It shows ways to tackle these safety issues by implementing modern information technologies, such as big data analysis and artificial intelligence. It provides an integrated approach to modern information technologies used in control and management of process safety in industry. The book also considers indicators and criteria in effective safety decisions, and addresses the issue of how big data would provide support for improved, autonomous, data-driven decisions. - Paves the way for the digital transformation of safety science and safety management - Takes a system approach to advanced information technologies used in process safety - Applies big data technologies to process safety - Includes multiple pertinent case studies

Sagit Valeev is a full professor in the Department of Computer Science and Robotics at Ufa State Aviation Technical University, Russia. He has 40 years of research and teaching experience in the fields of cyber-physical systems and information technologies. He is the author of more than 150 scientific papers and coauthor of 10 books and textbooks in the field of intelligent control systems of complex technical objects. His scientific interests belong to the field of intelligent control of complex technical objects, hierarchical safety systems, neural networks, and data acquisition systems. Prof. Valeev has received grants from the Russian Foundation for basic research in the field of intelligent control and safety of complex technical systems.

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Process Safety and Big Data discusses the principles of process safety and advanced information technologies. It explains how these principles are applied to the process industry and provides examples of applications in process safety control and decision support systems.This book helps to address problems that researchers face in industry that are the result of increased process complexity and that have an impact on safety issues. It shows ways to tackle these safety issues by implementing modern information technologies, such as big data analysis and artificial intelligence. It provides an integrated approach to modern information technologies used in control and management of process safety in industry. The book also considers indicators and criteria in effective safety decisions, and addresses the issue of how big data would provide support for improved, autonomous, data-driven decisions. - Paves the way for the digital transformation of safety science and safety management- Takes a system approach to advanced information technologies used in process safety- Applies big data technologies to process safety- Includes multiple pertinent case studies