Airport Collaborative Decision Making (A-CDM) is a system designed to improve the overall operational efficiency of airports. Flight support node information serves as a critical data source for the A-CDM system. Traditional manual methods of collecting node information pose several challenges, including issues related to timeliness and accuracy, making it difficult to meet the system's requirements. Some ground support operation data cannot be automatically obtained. To address this issue, this paper introduces the design concept of A-CDM time node collection using a video analysis service platform. It outlines the key technologies, components, and the implementation process of the algorithm repository, as well as discusses its future prospects. This solution aims to automatically collect data, such as milestone event timestamps during flight airport turnarounds, which are difficult to obtain manually. It brings economic and social benefits to airports and lays the foundation for smart airport development.
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