Open AccessAutomatic monitoring method for the rotation efficiency of the transmission of heavy duty vehicle
Author(s) -
Xiaofen Fang
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/480/1/012015
Subject(s) - demand forecasting , big data , distribution (mathematics) , computer science , rotation (mathematics) , operations research , data mining , engineering , artificial intelligence , mathematics , mathematical analysis
When the conventional logistics distribution demand forecasting method was used to forecast the multi-region logistics distribution demand, there was a lack of low analysis accuracy. Therefore, a multi-region logistics distribution demand forecasting method based on big data analysis was proposed. Big data technology was introduced to build a multi-region logistics distribution demand forecasting framework and to build a multi-region logistics distribution model. Based on the determination of different demands of logistics distribution among regions, the model of demand forecasting was embedded to realize the prediction and analysis of multi-region logistics distribution demand. The experimental data showed that the big data prediction method proposed was 57.23% higher in accuracy than the conventional method, which was suitable for the prediction of logistics distribution demand in different regions and multiple regions.