Commodity quality detection system based on big data

Abstract

The invention discloses a commodity quality detection system based on big data. The system comprises an airtight detection module, a temperature acquisition and analysis module, an illumination intensity statistics module, a humidity acquisition and pretreatment module, a commodity storage database, a modeling and analysis server and a display module, wherein the modeling and analysis server is connected with the airtight detection module, the temperature acquisition and analysis module, the illumination intensity statistics module, the humidity acquisition and pretreatment module, the commodity storage database and the display module; the commodity storage database is connected with the temperature acquisition and analysis module, the illumination intensity statistics module and the humidity acquisition and pretreatment module. According to thecommodity quality detection system, quality of each commodity in different storage environments is evaluated by detecting the temperature, humidity and illumination intensity in the commodity storage environments and combining the height of packaging bags, the commodity deterioration evaluation coefficient of each commodity type is analyzed,reference is provided for commodity storage, and accordingly, the deterioration speed of the commodities is reduced, and quality of thecommodities is improved.

Description

technical field [0001] The invention belongs to the technical field of commodity quality detection, and relates to a commodity quality detection system based on big data. Background technique [0002] With the continuous improvement of the economic level, people's requirements for living standards are getting higher and higher. Food safety has become a social problem in our country. In order to ensure food safety, it is necessary to test the quality of food. The current product quality supervision process only relies on The quality and technical supervision department has a small number of staff and a small amount of funds to carry out market inspections and random inspections. The sampling rate is extremely low, and it is easy to cause unscrupulous sales manufacturers to flow deteriorated goods to the market, endangering people's health. There are low detection efficiency and The problem of understaffing. [0003] At the same time, in order to ensure the safety of the prod...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a commodity quality detection system based on big data, through the air tightness detection module, temperature acquisition and analysis module, light intensity statistics module, humidity acquisition and preprocessing module combined with the modeling and analysis server, for different storage Evaluate the quality of each commodity in the environment to analyze the commodity deterioration evaluation coefficient of each commodity category in different storage environments, and solve the problem that the quality of the commodity cannot be evaluated according to the change of the storage environment in the process of existing commodity storage. Problems of poor accuracy, low efficiency and heavy workload

Images