Special Environment Flight Technology and Risk Management System

Abstract: This article analyzes the flight restrictions under icing conditions, constructs a low visibility operation model, and develops a terrain warning system triggering algorithm.

Ice flight training requires mastery of the calculation of de icing fluid retention time. A certain aviation school used a bivariate model of OAT temperature and liquid water content, with a prediction accuracy of 85%. In low visibility training, CAT III blind landing requires RVR<175 meters. A HUD simulator developed by a certain organization can reduce landing deviation by 50%.

The teaching of terrain warning system requires the analysis of trigger thresholds, and a certain training device can simulate 5 types of terrain conflict scenarios. The risk management system needs to establish a three element model of "threat identification probability assessment mitigation measures". The CRM training system developed by a certain airline has reduced the accident symptom rate by 45%.

Case study: A mountain flight training project achieved a 70% increase in route planning efficiency through preloading of terrain databases. Exam focus: Ice prediction model, terrain warning logic.