CAJ | 학술논문

大规模生态环境数据的处理和统计分析为环境保护和预测提供重要依据，其分析和预测方法成为数据处理的研究重点。在对海量生态环境数据的分类整理和综合处理基础上，基于时间序列的指数平滑法建立了一种动态二次指数生态环境数据预测模型。该模型针对生态环境的实时变化特征，利用二次指数平滑方法实现了静态参数的动态优化处理。以云南大理生态环境数据为样本，通过实验仿真测试和模型分析，结果验证了该模型的适用性和准确性。
대규모생태배경수거적처리화통계분석위배경보호화예측제공중요의거，기분석화예측방법성위수거처리적연구중점。재대해량생태배경수거적분류정리화종합처리기출상，기우시간서렬적지수평활법건립료일충동태이차지수생태배경수거예측모형。해모형침대생태배경적실시변화특정，이용이차지수평활방법실현료정태삼수적동태우화처리。이운남대리생태배경수거위양본，통과실험방진측시화모형분석，결과험증료해모형적괄용성화준학성。
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.