The Design and Improvement of an Auxiliary Tool for Filtering Test Data of Spacecraft products Based on Python Tkinter

Spacecraft products undergo various stages of longterm testing, generating large amounts of test data. After each day's testing, the designer need to compile the envelope values of product parameters, manually selecting from Excel spreadsheets and CSV. This method is inefficient and prone to errors. This article presents a tool developed using Python Tkinter for filtering spacecraft product test data. It enables automatic selection of test data from Excel spreadsheets and CSV, filling into Word documents. Using configuration files, the flexibility of applying the filtering tool is enhanced. By improving data filtering methods, the accuracy of the filtering tool has been increased. The filtering tool effectively improves the efficiency of managing test data.

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Publication Details

Published
2025-07-11
DOI
https://doi.org/10.1109/cisat66811.2025.11181965
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
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article

The Design and Improvement of an Auxiliary Tool for Filtering Test Data of Spacecraft products Based on Python Tkinter

Honghua Zhao, Yutao Zhou, Jianwei Shi
Computational Physics and Python Applications
article

The Design and Improvement of an Auxiliary Tool for Filtering Test Data of Spacecraft products Based on Python Tkinter

Honghua Zhao, Yutao Zhou, Jianwei Shi
article en

Abstract

Spacecraft products undergo various stages of longterm testing, generating large amounts of test data. After each day's testing, the designer need to compile the envelope values of product parameters, manually selecting from Excel spreadsheets and CSV. This method is inefficient and prone to errors. This article presents a tool developed using Python Tkinter for filtering spacecraft product test data. It enables automatic selection of test data from Excel spreadsheets and CSV, filling into Word documents. Using configuration files, the flexibility of applying the filtering tool is enhanced. By improving data filtering methods, the accuracy of the filtering tool has been increased. The filtering tool effectively improves the efficiency of managing test data.

China Astronaut Research and Training Center (CN)
Openalex Percentile: Top 86%
Computational Physics and Python Applications
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