Fresh commodity safety intelligent detection management system based on big data

Abstract

The invention discloses a fresh commodity safety intelligent detection management system based on big data. The system comprises a commodity weight detection module, a package damage analysis module,an environmental parameter acquisition module, a parameter preprocessing module, an image acquisition and processing module, an image recognition and analysis module, a commodity parameter database, afreshness analysis module, a management server and a display terminal. According to the invention, a commodity comprehensive eating safety coefficient is evaluated by considering factors such as weight change, temperature change, humidity change, peculiar smell concentration, commodity color, volume and existence of scratches and mildew spots on the surface of the commodity, and analyzing a commodity package breakage coefficient, a temperature safety influence coefficient, a humidity safety influence coefficient, a peculiar smell influence coefficient and commodity freshness, reference is provided for later commodity storage, the commodity eating safety detection efficiency and accuracy are improved, a lot of manpower cost is reduced, and commodity safety is guaranteed.

Description

technical field [0001] The invention relates to the technical field of fresh commodity safety detection and management, and relates to a fresh commodity safety intelligent detection and management system based on big data. Background technique [0002] Food safety is a major issue involving the national economy and the people's livelihood, and it is related to the safety of people's lives, property and health. In recent years, there have been many food safety accidents in my country, which have aroused widespread concern from the government and all walks of life, and also exposed loopholes in my country's food safety supervision system. The food regulatory department shoulders the important mission of testing and ensuring food safety, but many problems, such as low testing efficiency, low testing frequency, and even failure to detect some unqualified products, are gradually exposed. Disposable packaged fresh goods are a special type of food processing, including vegetables,...

AI Technical Summary

Problems solved by technology

[0003] The current safety inspection of fresh commodities in disposable packaging is only by checking whether the shelf life has expired and whether the surface of the commodity has deteriorated and rotted with the naked eye, such as whether there are yellow or rotten leaves in vegetable commodities, whether there is rot in the row of fruit commodities, meat Whether there is blood on the surface of the product, etc. This detection method is not accurate and wastes a lot of labor. It does not take into account that the surface of the product is not rotten, but the product is excessively dehydrated due to packaging damage and the temperature and humidity changes in the storage environment lead to product corruption. The problem is that it is impossible to detect the quality change process of the commodity within the shelf life. In view of this, the present invention designs a fresh commodity safety intelligent detection management system based on big data

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