Design and application of high fidelity sampling algorithm for flight test data
ID：161
Submission ID：133 View Protection：ATTENDEE
Updated Time：2024-10-23 10:02:36 Hits：40
Poster Presentation
Start Time：Pending （Asia/Shanghai）
Duration：Pending
Session：[No Session] » [No Session Block]
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Abstract
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 real-time 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 high-fidelity visualization of flight test data, meeting the demands of B/S architecture analysis applications.
Keywords
Flight Test Data; High-Fidelity; Sampling Algorithm; Data Analysis; Visualization Display
Speaker
DengGuobao
Senior Engineer Flight Test Center of COMACSubmission Author
All comments
15th August 2024 31st August 2024- Manuscript Submission
15th September 2024 - Acceptance Notification
1st October 2024 - Camera Ready Submission
1st October 2024 – Early Bird Registration
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