Dynamic layered early warning modeling method for food safety risk

Abstract

The invention discloses a dynamic layered early warning modeling method for food safety risks. Based on the tree structure and hierarchical analysis, the association relationship, prediction conditions, and prediction indicators of key food safety factors are used as the attributes of the factor nodes, and the tree-shaped association is built. Create a hierarchical early warning model for food safety risks; including: determine the index system for food safety risk early warning; establish a tree structure for the early warning model; Model, establish a layered early warning model of food safety risks; get the early warning and prediction status value of the node. The technical scheme of the invention is used for dynamic layered early warning of food safety risks, can effectively utilize resources, reduce work costs, save expenses, and improve food safety risk prediction capabilities, decision-making capabilities and defense capabilities for major public safety events.

Description

technical field [0001] The invention belongs to the technical fields of knowledge engineering and artificial intelligence, and relates to a collaborative decision-making method for public safety events, in particular to a dynamic layered early warning modeling method for food safety risks. Background technique [0002] At present, the overall situation of my country's food quality and safety is not optimistic. Food poisoning and food-borne diseases are still the primary problems of my country's food safety, and major food safety incidents occur from time to time. In view of the severe situation that my country's food quality and safety are currently facing, the quality and safety management of processed agricultural products in my country must change from the current post-event management mode of "market sampling, media exposure, and after-the-fact attack" to "whole process control, product traceability, integrity guarantee, Risk assessment, hazard early warning and emergency...

AI Technical Summary

Problems solved by technology

Corresponding food safety analysis can be carried out based on the above-mentioned early-warning prediction methods. However, these early-warning methods only give the calculation formulas and methods of early warning in terms of theory and formalization, but lack specific implementation methods, and do not support users according to Different application scenarios dynamically establish early warning models to predict and early warning for food safety risks

At present, in the field of food safety, there is still a lack of modeling methods for early warning. In practical applications, most of them are early warnings for a single event, which cannot be directly applied to decision support systems.

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