Cold-chain logistics storage intelligent management system based on big data

Abstract

The invention discloses a cold-chain logistics storage intelligent management system based on big data. The system comprises a warehouse storage area division module, an area storage volume statisticsmodule, a warehouse-in commodity packaging shape parameter acquisition module, a commodity warehouse-in classification module, an area remaining storage volume analysis display module, a temperaturelabel mark acquisition module, a temperature intelligent analysis module, an early warning module and a remote management module. The warehouse storage area is divided, the package shape parameters and the commodity types of warehoused commodities are obtained, then the storage area and the shelf number of the warehoused commodities are obtained, an RFID temperature label is marked on the surfaceof each commodity package, the temperature of the commodities in the storage process is collected, early warning is carried out on commodities with abnormal temperature changes, the labor cost is reduced, the commodity classification storage efficiency and the storage area utilization rate are improved, the loss of the commodities in the storage process is reduced, and the intelligent management requirement of modern cold-chain logistics storage is met.

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

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