国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

All kinds of data are generated during satellite development, production and in-orbit flights, how to deal with it is a big problem. Due to the large amount of data, diverse data types, and complex characteristics of the correlation，it’s almost impossible to sort out the correlation and explore the value of these data by using of manual analysis or expert strategy. A method for analyzing, algorithmic evaluation and modeling of rubidium clock’s telemetry data by using Python is presented. This model can be used to predict the state of the rubidium clock, and to enable satellite to control the rubidium clock intelligently. This method can also be used to process data from other devices on satellite, and it provides a reference for the use of machine learning in the design and manufacture of satellites.