Warehouse management system based on Internet of Things, and warehousing quality risk estimation method based on warehouse management system

Abstract

The invention discloses a warehouse management system based on the Internet of Things, and a warehousing quality risk estimation method based on the warehouse management system, and relates to the field of cold chain logistics and intelligent warehousing. The system comprises a warehousing environment and material information sensing unit, an RFID middleware unit, warehousing onsite operation units, a data center unit, and a cloud service center unit. The warehousing environment and material information sensing unit is integrated on a sensing label. The RFID middleware unit is integrated on an RRID reader-writer. The warehousing onsite operation units are integrated on the reader-writer and a warehouse working terminal. The data center unit is deployed on the data server. The cloud service center unit is deployed on an application server. According to the invention, a BP neural network algorithm is creatively used for the risk early warning of the system, thereby achieving the real-time state analysis and warning of cold chain warehoused materials, and effectively solving a problem of warehousing quality risk estimation and alarm of fresh agricultural products in a cold chain warehouse. The system is good in application prospect.

Description

technical field [0001] The invention relates to the field of cold chain logistics and intelligent storage, in particular to a storage management system based on the Internet of Things and a storage quality risk assessment method based on the system. Background technique [0002] In recent years, with the application of the Internet of Things and intelligent technology, modern logistics is also developing in the direction of intelligence. Warehousing is a key link in modern logistics. Warehousing management plays an especially important role in the cold chain logistics of fresh agricultural products, because most fresh agricultural products have life characteristics, are perishable, easy to ripen, and have strict shelf life. Environmental conditions such as high requirements, not easy to store, difficult to handle, so there will be many problems in the storage stage of logistics. Under the traditional agricultural product logistics and warehousing mode, due to insufficient t...

AI Technical Summary

Problems solved by technology

Under the traditional agricultural product logistics and warehousing mode, due to insufficient technical input, extensive management with high cost and low benefit is often formed

It is mainly reflected in the process of warehousing, storage and delivery of fresh products, often due to untimely collection and analysis of information and data, resulting in damage to fresh agricultural products

For example: fresh agricultural products that need to be kept fresh in a specific environment cannot be effectively monitored, resulting in deterioration and corruption of fresh agricultural products

This increases warehouse management problems, wastes a lot of time, increases management costs, and makes it difficult to guarantee service quality, thus affecting the competitiveness of enterprises

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