Intelligent monitoring and management system for warehousing logistics e-commerce commodity quality based on big data

Abstract

The invention discloses a warehouse logistics e-commerce commodity quality intelligent monitoring and management system based on big data. The system comprises a laser code scanning module, an appearance detection and analysis module, a commodity weight detection and analysis module, a temperature acquisition and analysis module, a humidity acquisition and analysis module, an express commodity database, a central server and a display terminal. According to the warehouse logistics e-commerce commodity quality intelligent monitoring and management system based on big data., the shape detection analysis module, the commodity weight detection analysis module, the temperature acquisition analysis module, the humidity acquisition analysis module and the express commodity database are combined with a central server to comprehensively consider the factors of shape deformation degree, weight change, temperature change and humidity change of commodities; commodity quality evaluation is carried out by analyzing the commodity corruption coefficient, reference is provided for later commodity storage, the commodity quality detection efficiency and accuracy are improved, and a large amount of manual inspection cost is reduced.

Description

technical field [0001] The invention relates to the technical field of e-commerce commodity quality monitoring, and relates to a big data-based intelligent monitoring and management system for warehousing and logistics e-commerce commodity quality. Background technique [0002] As a large agricultural producer, China has the characteristics of various types and large output of fresh agricultural products. With the rise of e-commerce platforms in China, the importance of online shopping consumption in people's lives continues to increase, and online shopping has become an important channel for consumer consumption. But , in the face of the increasingly large number of netizens and the expanding demand for online shopping, the traditional production and marketing model of agricultural products can no longer meet the growing demand of the market. More and more people are beginning to pay attention to fresh food e-commerce, which has become a formal trend. [0003] As we all kn...

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Problems solved by technology

[0002] As a large agricultural producer, China has the characteristics of various types and large output of fresh agricultural products. With the rise of e-commerce platforms in China, the importance of online shopping consumption in people's lives continues to increase, and online shopping has become an important channel for consumer consumption. But , in the face of the increasingly large number of netizens and the expanding demand for online shopping, the traditional production and marketing model of agricultural products can no longer meet the growing demand of the market. More and more people are beginning to pay attention to fresh food e-commerce, which has become a formal trend

[0003] As we all know, fresh agricultural products have the defects of being perishable and difficult to store, and their quality problems are the most concerned issues of online shopping. Personnel inspect the shape of fresh commodities, and judge whether the commodity is spoiled or deteriorated by judging the degree of deformation. However, only by manually checking the degree of deformation of the shape to judge whether the commodity is spoiled or not, not only wastes a lot of manpower, but also has the problem of poor detection accuracy. , For fresh goods with undeformed and damaged appearance, the problem of internal corruption and deterioration will also occur due to excessive water loss and storage environment. In order to solve the above problems, a kind of intelligent monitoring and management of warehousing logistics e-commerce product quality based on big data is now designed. The system can evaluate the quality of the product in combination with the degree of shape deformation, weight change, temperature change, and humidity change of the product itself

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