Design and Application of High Fidelity Sampling Algorithm for Flight Test Data

Flight test data is a critical element for characterizing aircraft performance and status, serving essential roles throughout stages such as design, manufacturing, flight testing, and operations. Generated by onboard data acquisition systems as strict time-series data, flight test data is utilized by engineers and data analysts for computation, analysis, and visualization to assess flight mission outcomes. Traditional client-server (C/S) architecture for data visualization involves reading all data points throughout the entire process and using graphics cards for sampling display. However, as the number of flight test data parameters grows exponentially and data volumes increase, data management applications have adopted distributed storage architectures. Consequently, data analysis and visualization have primarily shifted to browser-server (B/S) architecture modes. A single flight test parameter for one mission can generate tens of millions of data points, often requiring simultaneous display of multiple parameters. Due to browser performance limitations, reading all data points in realtime is impractical. Therefore, a high-fidelity sampling algorithm must be developed, tailored to the specific characteristics of flight test data. This algorithm should extract key feature points, adapt to display resolution, and ensure highfidelity visualization of flight test data, meeting the demands of B/S architecture analysis applications.