The original cleaning method's screening criteria for missing data are too vague to complete the data prediction of future enterpris-es.Therefore,an edge computing-based dynamic data cleaning method for enterprise massive cloud is proposed.In the data acqui-sition module,the dynamic data is preprocessed.It builds a data screening model based on edge computing to classify enterprise data,calculates the transmission delay and energy consumption of enterprise data.Based on the theoretical basis of time series,the authenticity of the dynamic raw data of the enterprise is guaranteed,and the dynamic data characteristics of the cloud are di-vided into global and local aspects to complete the dynamic data cleaning.It realizes the design of cleaning method based on edge computing.The experimental results show that the accuracy of this method is above 99.8%.It shows that the data prediction re-sults of the method in this paper have high accuracy and have more application value.
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