Food safety tracing system based on hidden Markov model

Abstract

The invention discloses a food safety tracing system based on a hidden Markov model, and belongs to the field of food safety. Through the monitoring and collection of production, transportation, storage and selling links of food, the system enables the collected data to be processed for building the hidden Markov model, then carries out the cluster analysis of the hidden Markov model, and taking corresponding measures to guarantee the safety of food according to the results of cluster analysis. The system can determine a fault link and a reason specifically according to the results of cluster analysis, so that the system can take the corresponding measures to guarantee the safety of food. For example, a relevant department of a government can take corresponding measures to achieve prevention and control according to the analysis results of safety data of food; an enterprise can adjust the production strategy according to the analysis results, thereby bringing more benefits for the enterprise; and a consumer can adjust the dietary according to the analysis results.

Description

technical field [0001] The invention relates to the field of food safety, in particular to a food safety traceability system based on a hidden Markov model. Background technique [0002] The food safety traceability system was first established and perfected by the European Union in 1997 to deal with the "mad cow disease" problem. It emphasizes the unique identification and process tracking of products, and implements ISO9001 and other quality control methods for tracking and tracing in all aspects of product production, transportation, storage, and sales. Once food safety problems occur, the source of food can be effectively traced. Recall unqualified products in time to minimize losses. [0003] The existing food safety traceability system has a single function, and food traceability applications can only complete the collection of data related to food and its raw materials, as well as some intuitive and simple traceability and information statistics applications. For ex...

AI Technical Summary

Problems solved by technology

[0007] In order to overcome the problem that the above-mentioned food safety information data cannot effectively utilize the dependence between time points, a food safety traceability system based on hidden Markov model, the traceability system uses hidden Markov model to describe the time-dependent characteristics of food information data , and then use the hierarchical clustering strategy to cluster the built model, so as to intelligently analyze, evaluate, and mine the time-series data generated in each link of food production, transportation, storage, and sales to obtain deep, hidden, and Unclear food safety hidden danger information provides a higher level of protection for consumers' food safety

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