A cold chain logistics warehousing intelligent management system based on big data

Abstract

The invention discloses a cold chain logistics storage intelligent management system based on big data, which includes a warehouse storage area division module, a regional storage volume statistics module, a storage commodity packaging shape parameter acquisition module, a commodity storage classification module, and a regional remaining storage volume analysis. Display module, temperature label mark acquisition module, temperature intelligent analysis module, early warning module and remote management module, the present invention divides the warehouse storage area, and obtains the packaging shape parameters and commodity types of the goods in the warehouse, and then obtains the information of the goods in the warehouse. The storage area and the shelf are numbered, and by marking the RFID temperature label on the surface of each product package, the temperature of the product during the storage process is collected, and an early warning is given to the product with abnormal temperature changes, which reduces labor costs and improves the efficiency of product classification and storage. And the utilization rate of the storage area, reduce the loss of goods in the storage process, and meet the intelligent management needs of modern cold chain logistics warehousing.

Description

technical field [0001] The invention belongs to the technical field of cold chain logistics storage management, and in particular relates to a big data-based cold chain logistics storage intelligent management system. Background technique [0002] With the increase of people's demand for fresh food, the quality and safety of cold chain products have received great attention, which has also promoted the development of cold chain logistics and the development of cold chain storage management system. [0003] Cold chain warehousing is to store cold chain commodities in corresponding warehouses, and control the temperature suitable for storage through temperature control equipment, provide the best storage method for the stored commodities, and reduce the loss of commodities during storage. However, the existing cold chain storage management system has a low level of automation, and basically manually classifies and stores commodities. It cannot automatically classify commoditie...

AI Technical Summary

Problems solved by technology

However, the existing cold chain storage management system has a low level of automation, and basically manually classifies and stores commodities. It cannot automatically classify commodities according to their biochemical characteristics, which reduces the efficiency of classified storage. The goods are randomly assigned to each shelf without considering the packaging shape parameters of the goods, resulting in low utilization of the warehouse storage area. At the same time, the change of the storage temperature of the goods during the storage process cannot be known immediately, resulting in the loss of goods storage. In view of this , the present invention proposes a cold chain logistics storage intelligent management system based on big data

Images