Design and Simulation Verification of an Auditory and Visual Channel Integrated Alarm Intervention Strategy for Pilots’ Abnormal Cognitive States

In flight, any form of abnormal cognitive state in pilots could jeopardize flight safety, necessitating intervention in pilots’ abnormal cognitive states. This paper first identifies five types of abnormal cognitive states in pilots based on the CREAM theory, and establishes the PDA model framework for abnormal cognitive states based on the human information processing model. By comparing the dynamic interactions between humans, machines, and the environment, and following the domestic SPO concept for intervening with pilots, an auditory and visual channel integrated alarm intervention strategy is designed. The effectiveness of the intervention is evaluated in real-time for adjustments, thus forming a corrective feedback loop. Finally, the alarm is implemented using Python programming, and intervention strategy validation simulation experiments are conducted in the DCS World simulation environment. The intervention effectiveness exceeds 90%, achieving the purpose of intervening in abnormal cognitive states and holding significant research value for flight safety.