In order to realize long-term prediction of steel coil storage throughput

so as to help steel logistics parks plan storage location allocation and equipment preparation in advance

reduce logistics costs and the vacancy rate of logistics parks

a method is presented to predict the throughput of steel coil storage based on particle size calculation and fuzzy rules.This method decomposes the original time series by time series decomposition model

divides the decomposed data into multiple information granules and clusters them

and establishes fuzzy logic relations according to the classification of information granules.According to the fuzzy rules

the throughput of the next 7 days is forecasted and the throughput of the four weeks is forecasted.The throughput data of a waterless port from 2014 to 2018 are selected for verification.The experimental results show that the results of the proposed prediction method can meet the requirements of steel logistics planning

and the long-term prediction accuracy is higher than that of ARIMA model.