Research on predictive analysis of time series based on big data and artificial intelligence technology

Based on the advantages and characteristics of big data and artificial intelligence, this paper chooses ARIMA model as an analytical tool to analyze and predict the future development of China and the changes of some time series data. First of all, in order to establish a clearer and more accurate model to predict the future development trend of China's partial time series data, this paper collected a large amount of time series data from 1997 to 2021 through different channels. ARIMA model was selected as an analysis tool to establish linear and nonlinear trends for various time series data. The autocorrelation was tested by residual analysis. Secondly, the technical advantages of big data and artificial intelligence are combined with ARIMA model to accurately predict the future development trend of time series data by using its efficient information processing power. This integrated approach enables the team to formulate timely countermeasures according to the latest situation, and provides important theoretical support for the future processing of time series-related data in China. Finally, through the collected time series data, the ARIMA model is analyzed and predicted.