In order to accurately monitor the operation situation in the flight area of the airport in a timely manner and realise the autonomous identification of field traffic risk, a time-varying interval-based autonomous risk identification method is proposed. Consider the motion direction and speed of two types of activity targets, aircraft and vehicles, to maintain a time-varying safety interval between targets, and then carry out conflict risk identification to construct a conflict situation network model; Select 5 indicator evaluation nodes, use grey relational analysis to identify conflict risks, obtain risk ranking, and identify key risk objectives; Remove key targets and compare the network status before and after to verify the effectiveness of the recognition method. The results indicate that maintaining time-varying intervals between targets is the basis for accurately identifying conflict risks; The grey relational analysis method can autonomously identify traffic risks on the scene, which helps controllers to accurately monitor the traffic situation on the scene, timely locate key risk targets, and provide decision-making references for ensuring operational safety.