Xinyan Huang – författare

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.Outlines the fundamentals of machine/deep learning methods applicable to process safetyDetails advanced machine and deep learning methodologies for risk assessment and management in chemical process engineeringOffer theoretical and practical advice for using smart technology for process fault diagnosis and prognosisDiscusses recent advances in smart AI techniques to process safety, as applied to industrial chemistry and chemical processesCovers applications of smart technology and AI in human behavior analysis for risk analysis

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. - Outlines the fundamentals of machine/deep learning methods applicable to process safety- Details advanced machine and deep learning methodologies for risk assessment and management in chemical process engineering- Offer theoretical and practical advice for using smart technology for process fault diagnosis and prognosis- Discusses recent advances in smart AI techniques to process safety, as applied to industrial chemistry and chemical processes- Covers applications of smart technology and AI in human behavior analysis for risk analysis

The book explores applications of Virtual Reality (VR) technology in various aspects of tunnel projects. It highlights the potential benefits and challenges of using VR in tunnel engineering, providing valuable insights for professionals, researchers, and students in the field. By harnessing the power of VR, tunnel projects can be revolutionized, leading to improved visualization, simulation, and training capabilities.The book is divided into 3 parts. Part A focuses on the integration of VR technology in the design and construction phases of tunnel engineering. It explores topics such as VR technology in tunnel excavation, utilizing VR for structure design, VR applications in construction and Building Information Modeling (BIM), installation of facilities, optimization methods for tunnel cross-sections. Readers will gain a deep understanding of how VR can enhance the efficiency, accuracy, and coordination of design and construction processes. The second part discusses the energy and environmental aspects of tunnel engineering. It covers topics such as tunnel lighting on driving performance and energy saving, traffic energy consumption models, and optimizing ventilation systems in a VR environment. Readers will discover how VR can contribute to energy-efficient tunnel designs and improved environmental sustainability. Safety and management are crucial aspects of tunnel projects, and the last section explores how VR can enhance these areas. It discusses the creation of VR models based on tunnel inspection vehicles, VR studies of safe evacuation, and human-space interaction and comfort in VR environments. By leveraging VR technology, professionals can improve safety protocols, optimize maintenance procedures, and enhance user experience within tunnel projects.

This book provides the latest research and technology advances in building fire safety and smart firefighting. This book attracts more young researchers into the latest multi-disciplinary fire safety research and promotes the application of the new technologies in firefighting.

This book provides the latest research and technology advances in building fire safety and smart firefighting. Different experts systemically review the application of new technologies like Artificial Intelligence, Internet of Things, Virtual Reality, Digitalization, and Metaverse in fire safety areas. These multi-disciplinary research and technology fusion will significantly change the fire resilience design and firefighting practices in the next 20 years. Achieving urban fire safety and resilience also plays a key role in developing future smart buildings and cities. This book attracts more young researchers into the latest multi-disciplinary fire safety research and promotes the application of the new technologies in firefighting.