Valuable information about unsafe conditions resides in the large alarm databases of distributed control systems and emergency shutdown systems. This overlooked and underutilized information can be analyzed to identify process near-misses and determine the probability of serious accidents.
This article introduces the concept of dynamic risk analysis (DRA) based on alarm databases. It provides a general overview of what this is, how it can be used in chemical processing to improve safety, and challenges that must be addressed over the next 5–10 years. It also highlights current research in this area and offers perspective on methodologies most likely to succeed.
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