Abstract:

Large scale ecological environmental data processing and statistical analysis results can provide important bases for
environmental protection and prediction, the analysis and prediction method become the research emphases in data processing. In this
paper, based on the classification and comprehensive data processing of magnanimous ecological environment data, a prediction model
of ecological environment data is established based on dynamic and two exponential smoothing method of time series. Aiming at the
real- time variation of ecological environment, the dynamic optimization process of static parameters is realized by using two
exponential smoothing methods. Taking the ecological environment data of Dali, Yunnan as the sample, through the simulation test and
the model analysis, its results verify the applicability and accuracy of the model.

Key words: ecological environment, exponential smoothing method, dynamic prediction