The Design And Implementation Of Hypervelocity Impact Data Processing System Of Spacecraft’s Typical Structure

With the rapid growth of the number of orbits in China’s spacecraft,the deteriorating space debris environment poses a serious threat to the orbital safety of spacecraft in China.It is very important to optimize the spacecraft structure and material selection.To this end,China has launched relevant programs and conducted experiments,which generated a large amount of data,and the collection and analysis of data is a long-term work.This paper is based on this demand to carry out research work on data processing systems.The paper introduces three main steps to complete the work:first,screening and classifying the original data from multiple sourcestrings to extract valid data;second,developing a data storage platform to store valid data in the data storage platform;The third is to develop a software for analyzing and mining data in the data storage platform.The software finds the association relationship of the feature data through the algorithm,and analyzes the curve fitting through the relationship,and finally analyzes the result as The expansion of the original data is entered into the data storage platform.Step 1 uses manual methods for data screening and classification.The difficulty of this part of the work is to analyze the validity of the data from various sourcestrings,find and record the data with commonality,and do the data input for the next step.The second step is to design and implement the data storage platform according to the common attributes and actual needs of the classified data.The difficulty of this part of the work is that each data has individual differences in addition to the common attributes,and the extended data table is created by designing the database.The difference attribute is stored,thereby achieving complete storage of the data.Step 3:Through the data analysis and mining software with certain algorithm,the characteristic curve is fitted through the association of eigenvalues.The difficulty of this part of the work is realized in the algorithm of data analysis mining.