Research on Airborne Surface Warning Algorithm in A-SMGCS V System

At present, the monitoring of airport scenes is mainly achieved through manual and visual auxiliary equipment, and the purpose of this paper is to study the automated scene warning detection algorithm, which can reduce the burden of controllers and pilots and improve operational efficiency under the premise of ensuring the safety level. Based on the monitoring source data provided by the advanced scene activity guidance and control system (A-SMGCS), the algorithm model automates the alarm detection and prompt for taxiway collision and take-off and landing runway length. In view of the problem of warning of conflict with the target of his machine, the potential conflict judgment algorithm based on the speed vector method is proposed, and the kinetic model of calculating the runway length required for take-off and landing is proposed in real time. The algorithm is verified, the simulation environment is constructed to simulate the real plane scene taxiing, and the monitoring source data is provided for the model. It has been proved that the alarm response is within 0.5 seconds of the police situation, no false alarm leakage, in line with the expected results, indicating the feasibility of the algorithm.