Dynamic layered early warning modeling method for food safety risk

A food safety and modeling method technology, applied in the fields of knowledge engineering and artificial intelligence, can solve the problems of food safety risk prediction and early warning that do not support user early warning models, cannot be directly applied to decision support systems, and lack of implementation methods, etc., to achieve diverse decision support service, improving food safety risk prediction ability, and improving the effect of food safety risk warning level

Inactive Publication Date: 2016-09-28
PEKING UNIV
View PDF0 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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 appli

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Dynamic layered early warning modeling method for food safety risk
  • Dynamic layered early warning modeling method for food safety risk

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041]Below in conjunction with accompanying drawing, further describe the present invention through embodiment, but do not limit the scope of the present invention in any way.

[0042] The invention provides a dynamic layered early warning modeling method of food safety risk, based on hierarchical analysis and tree structure, adopting knowledge reasoning method, all key factors are regarded as factor nodes, and all associated conditions and predictive indicators are used as nodes Attributes, carry out tree-shaped association modeling, create a hierarchical early warning model of food safety risks, and use it for dynamic modeling of food safety risks and hierarchical early warnings.

[0043] Analytic Hierarchy Process is a simple method for making decisions mainly for some more complex and ambiguous problems. It is an effective method for quantitative analysis of non-quantitative events and objective analysis of subjective judgments in the decision-making process. It is especi...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06Q10/06G06N5/04G06N5/02
CPCG06Q10/0635G06N5/022G06N5/041
Inventor 黄雨蒋慧李俊涛肖革新
Owner PEKING UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap