Artificial Intelligence in Safety Science and Engineering serves as a comprehensive guide to the latest Artificial Intelligence (AI) research and the ways in which it can be applied to multiple crucial topics in process engineering. This book couples a strong theoretical overview and real-world case studies and methodology details, to help with experimental design and troubleshooting when implementing smart technologies and AI. The book covers the latest applications of smart technologies and AI as they can be applied to many prominent topics in the fields of process safety, such as the fundamental of AI technologies, the advanced methods of machine learning, the application to process accidental modeling and analysis, the application to process risk assessment, the application to process fault diagnosis and prognosis, the application to predictive maintenance, the application to process emergency response optimization, the application to simulation and training and the application to process incident prediction and prevention.
Artificial Intelligence in Safety Science and Engineering will be a valuable resource for academics, students and researchers working in the process safety domain, particularly those working with chemical processes at the industrial level. This book will also be a useful guide for government policy makers and decision makers in industry focusing on process safety regulation, standards, legislation and risk management.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Contributors - p. ix 7. Chapter one. Fundamental in process safety - p. 1 8. Chapter Two. How does process safety benefit from AI? An overview of recent progress - p. 11 9. Chapter Three. AI-powered smart building firefighting - p. 47 10. Chapter Four. AI in safety management of battery energy storage system - p. 79 11. Chapter Five. Risk assessment of human-AI conflict - p. 101 12. Chapter Six. Real-time gas explosion prediction in process industries by graph neural network - p. 119 13. Chapter Seven. AI-powered smart evacuation - p. 153 14. Chapter Eight. Review of multi-source data for disaster management - p. 183 15. Chapter Nine. Review of reinforcement learning in emergency response processes - p. 215 16. Chapter Ten. Multi-hazard risk assessment in chemical industries - p. 235 17. Chapter Eleven. Leveraging artificial intelligence for elderly indoor safety - p. 275 18. Index - p. 295
Artificial Intelligence in Safety Science and Engineering serves as a comprehensive guide to the latest Artificial Intelligence (AI) research and the ways in which it can be applied to multiple crucial topics in process engineering. This book couples a strong theoretical overview and real-world case studies and methodology details, to help with experimental design and troubleshooting when implementing smart technologies and AI. The book covers the latest applications of smart technologies and AI as they can be applied to many prominent topics in the fields of process safety, such as the fundamental of AI technologies, the advanced methods of machine learning, the application to process accidental modeling and analysis, the application to process risk assessment, the application to process fault diagnosis and prognosis, the application to predictive maintenance, the application to process emergency response optimization, the application to simulation and training and the application to process incident prediction and prevention.
Artificial Intelligence in Safety Science and Engineering will be a valuable resource for academics, students and researchers working in the process safety domain, particularly those working with chemical processes at the industrial level. This book will also be a useful guide for government policy makers and decision makers in industry focusing on process safety regulation, standards, legislation and risk management.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Contributors - p. ix 7. Chapter one. Fundamental in process safety - p. 1 8. Chapter Two. How does process safety benefit from AI? An overview of recent progress - p. 11 9. Chapter Three. AI-powered smart building firefighting - p. 47 10. Chapter Four. AI in safety management of battery energy storage system - p. 79 11. Chapter Five. Risk assessment of human-AI conflict - p. 101 12. Chapter Six. Real-time gas explosion prediction in process industries by graph neural network - p. 119 13. Chapter Seven. AI-powered smart evacuation - p. 153 14. Chapter Eight. Review of multi-source data for disaster management - p. 183 15. Chapter Nine. Review of reinforcement learning in emergency response processes - p. 215 16. Chapter Ten. Multi-hazard risk assessment in chemical industries - p. 235 17. Chapter Eleven. Leveraging artificial intelligence for elderly indoor safety - p. 275 18. Index - p. 295
