Process Safety and Big Data

Process Safety and Big Data discusses the principles of process safety and advanced information technologies, explaining its application to the process industry and providing examples of applications in process safety control and decision support systems. The book helps address problems that researchers face as the result of increased process complexity. The book shows ways to tackle 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 the control and management of process safety in industry.

In addition, the book considers indicators and criteria in effective safety decision, helps  safety managers understand how to make effective safety decisions, addresses the issue of how big data provides support for (autonomous) improved data-driven decisions, and provides indicators and criteria for big data in process safety.

• 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
• Provides examples on how AI is applied in the contextualization of data streams that are monitored to improve safety performance
• Applies big data technologies to process safety
• Includes case studies at the end of the book

Researchers in academia in process safety

1 Large Scale Infrastructures and Process Safety
2 Risk and Process Safety Standards
3 Measurements, Sensors and Large Scale Infrastructures
4 Databases and Big Data Technologies
5 Simulation Technologies for Process Safety
6 Big Data Analytics and Process safety
7 Risk Control and Process Safety Management Systems