基于航空器位移变化过程的冲突告警模型研究OA

Preventing mid-air collisions is the primary task of air traffic control operations and a core function of air traffic control automation systems.Currently,conflict alert functions within these systems are proliferating,with their scopes overlapping and nesting with one another.To prevent the disorderly development of conflict alerts and to clarify the status and role of these functions,this paper analyzes classification methods based on look-ahead time and calculation approaches.Starting from the situational development trends of aircraft pairs,it analyzes the process by which target trajectory pairs evolve from safe separation to dangerous separation in the air,identifying key factors and nodes at each stage.The paper proposes a transformation in the division of alert calculation labor,shifting from classifying conflict alert types by data source and look-ahead time to a method involving the segmented calculation of predicted positions for flight data objects,thereby unifying conflict detection calculations.This approach addresses both the"time collapse"issue in current conflict calculations and the problem of redundant alerts across different alert types.