Abstract: A method and a device for predicting food safety risk level section are provided in the present application. The method includes: obtaining risk level time series data of the food; decomposing the risk level time series data to obtain a plurality of sub-series data; performing point predictions on the plurality of sub-series data to obtain corresponding point prediction results; determining a final point prediction result corresponding to the food risk level time series data based on the point prediction results corresponding to the plurality of sub-series data; determining a prediction residual corresponding to the final point prediction result; and determining a section prediction result by performing section prediction based on the prediction residua. In the present application, more prediction information and quantitative prediction of the uncertainty of future food risks are provided by adding section prediction based on point prediction.

Abstract: The present application provides a prediction method and a prediction device for food safety risk level and an electronic apparatus. The method includes: classifying food safety risk level based on historical test data for food safety, to obtain historical data for food safety risk level; performing wavelet decomposition on the historical data for food safety risk level based on Daubechies wavelet basis, to obtain a plurality of historical data components for food safety risk level; and inputting the plurality of historical data components for food safety risk level into an LSTM model and predicting a food safety risk level, to obtain a predicted value of the food safety risk level. By the prediction method and the prediction device for food safety risk level and the electronic apparatus according to the present application, the food safety risk level may be effectively predicted.