Abstract
This review explores the evolving landscape of process safety, emphasizing the integration of digitalization and advanced technologies. It assesses the role of the industrial Internet of Things, artificial intelligence, and machine learning (ML) in enhancing safety protocols. The paper examines predictive analytics, sensor technology advancements, and digital twins' contributions to safety optimization. It also discusses the future perspectives of risk management approaches, including proactive safety management systems, quantitative risk assessment techniques, and human reliability analysis. This comprehensive analysis provides insights into future developments and challenges in process safety.
| Original language | English |
|---|---|
| Pages (from-to) | 684-707 |
| Number of pages | 24 |
| Journal | Process Safety and Environmental Protection |
| Volume | 185 |
| DOIs | |
| State | Published - Jan 2024 |
| Externally published | Yes |
ASJC Scopus Subject Areas
- Environmental Engineering
- Environmental Chemistry
- General Chemical Engineering
- Safety, Risk, Reliability and Quality
Keywords
- Advanced technologies
- Process safety
- Regulations and standards
- Risk management
- Sustainability
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