Big data-based intelligent traceability system for beef product slaughter quarantine information

By constructing a quarantine status transition map, calculating the probability of risk transmission, integrating multi-source data, and identifying risk paths, the problems of data isolation and inability to quantify risks in traditional beef product slaughter quarantine have been solved, realizing intelligent quarantine traceability and accurate risk assessment for beef products.

CN122158181APending Publication Date: 2026-06-05SHANDONG LUHE YINIU ANIMAL HUSBANDRY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANDONG LUHE YINIU ANIMAL HUSBANDRY CO LTD
Filing Date
2026-03-11
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

In traditional beef product slaughter and quarantine work, quarantine data at each stage are isolated, making it impossible to form a continuous link from individual cattle to the final meat product. The process of quarantine risk transmission cannot be quantified, multi-source data cannot be integrated, traceability results cannot be standardized, and the accuracy of quarantine risk assessment and traceability is insufficient.

Method used

The intelligent traceability system for beef product slaughter and quarantine information based on big data constructs a quarantine status transition diagram through a data acquisition module, calculates the probability of quarantine risk transmission through a risk assessment module, forms a multi-dimensional quarantine association knowledge graph through a data fusion module, identifies risk aggregation paths and key control points through a path analysis module, and generates structured electronic reports through a traceability report module.

Benefits of technology

It enables continuous presentation of quarantine status from individual cattle to meat products, quantifies the transmission of quarantine risks, identifies risk clustering paths and control points, and generates machine-readable structured traceability reports, thereby improving the accuracy and intelligence of quarantine risk assessment.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application relates to the technical field of beef slaughtering quarantine traceability, in particular to a beef product slaughtering quarantine information intelligent traceability system based on big data, comprising: collecting target cattle whole-process slaughtering data through a data acquisition module to construct a quarantine state transition diagram from individual cattle to specific meat products; a risk assessment module quantifies the quarantine risk transmission probability of each link according to the above to generate an individual quarantine risk assessment spectrum; a data fusion module integrates cattle historical breeding, circulation and risk assessment data to form a multi-dimensional quarantine correlation knowledge graph; a path analysis module identifies risk aggregation paths and key control points through community discovery and path analysis; and a traceability report module reversely simulates risk propagation to code and generate machine-readable electronic traceability reports. The system breaks down the data isolation barriers of each link, realizes accurate traceability and intelligent control of beef slaughtering quarantine risks, and improves the accuracy and intelligent efficiency of quarantine traceability.
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