Large Reasoning Models for Abnormal Situation Management

Automation runs safety-critical processes well inside their design envelope. Abnormal situations still fall to human operators, and their mismanagement is a leading contributor to process-safety incidents. Full autonomy in other domains usually leans on a safe stop. A chemical plant does not have that recourse because stopping is itself a hazardous and expensive operation. This project asks whether a general-purpose large reasoning model (LRM), with no task-specific training and only the information available to an operator, can manage abnormal situations at run time, provided it acts through an interface that cannot express an unsafe command. ...

June 11, 2026