Warning envelope generating method for civil aircraft terrain awareness and warning system

Abstract

The present invention provides a warning envelope generating method for a civil aircraft terrain awareness and warning system. The method comprises: a step S1 of, according to the initial fight state of an aircraft, building a normal flight path model of no warning conditions, generating a no-warning normal flight path, meanwhile building a pilot evasive operation model, generating an evasive path of the aircraft after warning, comparing the two flight paths with first-order Markov random terrain data separately, and determining whether the warning in the flight simulation is successful; a step S2 of carrying out massive flight simulation, performing statistics on the false warning rate and the warning success rate as warning performance indexes of the system, creating an SOC curve, weighing the influence of the two indexes on the system, and selecting an optimum warning threshold point; and a step S3 of generating the whole warning envelope. According to the invention, the influences of false warnings and missed warnings on the warning system are taken into consideration, so that the warning envelope finally generated is reasonable, and the occurrence of false warnings and missed warnings is reduced.

Description

technical field [0001] The present invention relates to a method for generating warning envelopes in the technical field, in particular to a method for generating warning envelopes of a civil aircraft terrain perception and warning system based on system performance curves. Background technique [0002] The Terrain Awareness and Warning System (TAWS) is an important part of the Aircraft Environment Surveillance System (AESS). It has six traditional warning modes and forward-looking warnings, which can effectively avoid possible Controlled flight into terrain (Controlled Flight into Terrain, CFIT) occurs to ensure flight safety. [0003] TAWS is generally a discrete decision-making system, which needs to continuously detect multiple parameters and decide whether to issue an alarm according to the current state. Among them, the setting of the alarm threshold is one of the important indicators that affect its performance. If the alarm threshold is set larger, it can provide en...

AI Technical Summary

Problems solved by technology

If the alarm threshold is set larger, it can provide enough time for the operator to take remedial measures and effectively reduce the occurrence of missed alarms, but there are too many uncertainties in the predicted trajectory, and the possibility of false alarms will also increase accordingly; on the contrary , if the alarm threshold is set small, the predicted trajectory

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