A quality intelligent detection method and system in the logistics process of cold chain meat and meat products

Abstract

The invention provides an intelligent quality detection method and system in logistic process of cold-chain meat and meat products. The detection method comprises steps as follows: analyzing and determining predominant decomposing microorganisms in samples, determining dynamic fluctuation temperature of the predominant decomposing microorganisms in each sample, setting culture temperature and a time parameter to put each sample in a fluctuation temperature incubator for cultivating, performing plate counts of total bacterial count and total predominant decomposing microorganisms count, establishing growth and survival curves under dynamic condition, constituting a three-stage dynamic model of microorganisms in cold-chain meat products, optimizing the kinetic parameter and obtaining intermittent dynamic prediction model of different predominant decomposing microorganisms under temperature fluctuation condition. The system can exactly and instantly describe microbial growth and survivalcharacteristics under fluctuation temperature condition, establishes an Internet and technology real-time visualization platform for the freshness of different cold-chain meat and meat products, so that intelligent logistics between cold-chain meat and meat products are realized, consumer confidence is improved, industry losses are reduced and economic benefit is improved.

Description

technical field [0001] The invention relates to the technical field of meat product quality detection, in particular to an intelligent quality detection method and system for cold chain meat and meat product logistics. Background technique [0002] With its unique taste, color and nutritional value, cold chain meat has become the current trend of meat consumption in my country. Spoilage microorganisms and foodborne pathogen contamination during meat processing, storage, and distribution are among the most serious meat safety risks today. Although the cold chain meat is always kept at a lower temperature during the early slaughtering, segmentation and subsequent processing, which can effectively inhibit the growth and reproduction of most microorganisms, but in the process of cold chain logistics, due to dynamic temperature fluctuations, spoilage Rapid multiplication of bacteria or pathogenic bacteria such as Enterobacteriaceae, Pseudomonas, Staphylococcus and Bacillus can c...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the technical problems of being unable to combine temperature and food quality in a timely and effective manner, lacking real-time intelligent management of cold-chain meat quality, and being unable to quickly and real-time reflect changes in cold-chain meat quality based on temperature changes, the present invention proposes a cold-chain meat and The quality intelligent detection method and system in the meat product logistics process, constructs the intermittent dynamic growth model of the dominant spoilage microorganisms in chilled fresh meat under the condition of temperature fluctuation, constructs the quantity-effect relationship between microorganisms and freshness visualization, and forms the freshness measurement-effect visualization technology. Model database and big data analysis, apply Internet + technology to build an online real-time visualization platform for freshness, solve the problem that it is difficult to seamlessly connect and display the freshness of meat, realize smart logistics of cold fresh meat, improve consumer confidence, and realize cold chain meat. Intelligent monitoring and early warning of quality in the process of meat product logistics

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