Process Safety and Big Data
- 1st Edition - February 18, 2021
- Imprint: Elsevier
- Authors: Sagit Valeev, Natalya Kondratyeva
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 2 0 6 6 - 5
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 2 0 6 7 - 2
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 indust… Read more
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Request a sales quoteProcess 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
Researchers in academia in process safety
- Cover image
- Title page
- Table of Contents
- Copyright
- Preface
- About the book
- Book features
- Audience
- Organization of the book
- Acknowledgments
- Chapter 1: Large-scale infrastructures and process safety
- Abstract
- 1.1: Introduction to system approach
- 1.2: Large-scale infrastructures
- 1.3: Problems of safety for large-scale infrastructures
- 1.4: Complexity and large-scale infrastructures
- 1.5: Graph model of large-scale systems
- 1.6: Management, control problems, and uncertainty
- 1.7: Personnel and process safety competency
- 1.8: Life cycle and safety problems
- 1.9: Standards and safety issues
- 1.10: Process safety and big data
- 1.11: Summary
- 1.12: Definitions
- Chapter 2: Risk and process safety standards
- Abstract
- 2.1: Risks and safety
- 2.2: Standards for safety
- 2.3: Standards and big data
- 2.4: Summary
- 2.5: Definitions
- Chapter 3: Measurements, sensors, and large-scale infrastructures
- Abstract
- 3.1: Process state data sources
- 3.2: Sensors and measurements
- 3.3: Analog sensors and digital sensors
- 3.4: Smart sensors
- 3.5: Software sensors
- 3.6: Sensor fusion
- 3.7: Supervisory control and data acquisition systems
- 3.8: Measurements and big data
- 3.9: Summary
- 3.10: Definitions
- Chapter 4: Databases and big data technologies
- Abstract
- 4.1: Data ecosystem
- 4.2: Algorithms and complexity
- 4.3: Modern databases
- 4.4: Big data technologies
- 4.5: Summary
- 4.6: Definitions
- Chapter 5: Simulation technologies for process safety
- Abstract
- 5.1: Simulation of process safety
- 5.2: Digital twins
- 5.3: Simulation in real time mode
- 5.4: Big data technologies for simulation and data acquisition
- 5.5: Summary
- 5.6: Definitions
- Chapter 6: Big data analytics and process safety
- Abstract
- 6.1: Analytics basics
- 6.2: Machine learning
- 6.3: Basic data analytics
- 6.4: Advanced data analytics
- 6.5: Summary
- 6.6: Definitions
- Chapter 7: Risk control and process safety management systems
- Abstract
- 7.1: Hierarchical safety management system
- 7.2: Intelligent technologies for process safety
- 7.3: Risk management systems and big data
- 7.4: Summary
- 7.5: Definitions
- Index
- Edition: 1
- Published: February 18, 2021
- No. of pages (Paperback): 312
- No. of pages (eBook): 312
- Imprint: Elsevier
- Language: English
- Paperback ISBN: 9780128220665
- eBook ISBN: 9780128220672
SV
Sagit Valeev
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.
Affiliations and expertise
Full Professor, Department of Computer Science and Robotics, Ufa State Aviation Technical University, Ufa, RussiaNK
Natalya Kondratyeva
Natalya Kondratyeva is an associate professor in the Department of Computer Science and Robotics at Ufa State Aviation Technical University, Russia. She has 20 years of experience in research and teaching in the field of complex technical systems and information technologies. She is the author of more than 60 scientific papers and coauthor of five books and textbooks in the field of simulation and control of complex technical objects. Her scientific interests relate to the fields of intelligent simulation of complex technical objects, hierarchical safety systems, reliability, and modern information technologies. Dr. Kondratyeva has received grants from the Russian Foundation for basic research in the field of intelligent control and safety of complex technical systems.
Affiliations and expertise
Associate Professor, Department of Computer Science and Robotics, Ufa State Aviation Technical University, Ufa, RussiaRead Process Safety and Big Data on ScienceDirect