Intelligent logistics information system based on Internet of Things

Abstract

The invention discloses an intelligent logistics information system based on the Internet of Things. The system comprises an article supply and demand tracking module, a demand change verification module, a demand interference evaluation module, a demand prediction analysis module, a logistics demand distribution module and a logistics demand fitting correction module. According to the intelligent logistics information system provided by the invention, the article demand quantity of each region in each season can be predicted by tracking and analyzing the article demand quantity of each region in each season and combining the interference factors influencing the article demand quantity, the association degree among the regions is established, the logistics demand of each region with correlation is distributed, the distribution management of the logistics distribution region is realized, the temporary supply amount of the articles can be dynamically adjusted according to the temporary demand amount of the articles, the logistics demand supply is corrected by adopting the offset degree, the accurate judgment of the logistics demand amount is achieved, the logistics distribution efficiency and accuracy are improved, and intelligent distribution management of logistics information can be realized conveniently.

Description

technical field [0001] The invention belongs to the technical field of intelligent logistics, and relates to an intelligent logistics information system based on the Internet of Things. Background technique [0002] With the rapid development of agricultural products and manufacturing, logistics and transportation have become very important in our lives, especially for the circulation demand between urban and rural areas. The changes in the logistics demand of goods directly affect the use of users in various regions. Therefore, the circulation of goods The logistics demand forecast in the process plays a vital role in the regional economic development and the improvement of residents' living standards. [0003] At present, the demand for items by users in each region is only judged based on the sales or usage of the items, and it is impossible to accurately predict the logistics needs of users for the items, and then it is impossible to formulate a logistics distribution pl...

AI Technical Summary

Problems solved by technology

[0003] At present, the demand for items by users in each region is only judged based on the sales or usage of the items, and it is impossible to accurately predict the logistics needs of users for the items, and then it is impossible to formulate a logistics distribution plan, resulting in problems such as long-term retention of items in each area or insufficient quantity. , which affects the user experience, and it is impossible to carry out regional association binding according to the degree of correlation between the item demand between regions, and then it is impossible to carry out intelligent distribution management of regional logistics according to the correlation between regions, resulting in the inability to realize the logistics information in the process of logistics transportation. Intelligent allocation management, and thus cannot achieve the effect of scientifically predicting logistics demand, reducing the accuracy of logistics demand analysis