A environment data behavior analysis algorithm based on dynamic exponential smoothing method

Along with the global climate warming, the ecological environment of the earth changes sharply. In order to prevent the worsening environment and protect the benign development trend, dynamic environment monitoring and real-time data analysis becomes necessary. Large scale ecological environmental data processing and statistical analysis results can provide an important basis for environmental protection and prediction, the analysis and prediction method becomes the research emphasis in data processing. In this paper, based on the classification and comprehensive data processing of magnanimous ecological environment data, a ecological environment behavior analysis algorithm based on exponential smoothing method of time series is presented. Aiming at the real-time variation of ecological environment, the dynamic optimization process of static parameters is realized by using two exponential smoothing model. Through simulation test and the performance analysis of algorithm, such as correlation and independence, its results verify the applicability and accuracy of algorithm.