Food safety online supervision platform and traceability method based on Internet of Things and block chain

An online monitoring platform combining the Internet of Things and blockchain can identify temperature control status and trajectory anomalies in cold chain transportation in real time, solving the problem of lagging traditional monitoring methods and achieving efficient traceability and risk management of the cold chain transportation process.

CN120851909AInactive Publication Date: 2025-10-28SICHUAN NANSHUI AGRI & ANIMAL HUSBANDRY TECH CO LTD
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Patent Information

Application Number
CN202511358260.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-23
Publication Date
2025-10-28
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Traditional food safety supervision methods are unable to identify abnormalities in temperature control status and transportation trajectory in real time during cold chain transportation, resulting in supervision lag and failure to detect risks in a timely manner, especially when refrigeration units are slow to respond or transportation routes are deviated.

Method used

An online food safety monitoring platform based on the Internet of Things and blockchain is adopted. Through environmental anomaly identification module, internal circulation failure identification module, trajectory deviation identification module, and abnormal time period cross-judgment module, combined with temperature and humidity data and GPS trajectory obtained by IoT sensors, it identifies cold storage environment anomalies, internal circulation failure and trajectory drift, generates joint anomaly verification fields, and constructs traceability datasets in chronological order, and uses blockchain for tamper-proof recording.

Benefits of technology

It enables real-time identification and verification of abnormal behaviors during cold chain transportation, improves the responsiveness and accuracy of food safety supervision, and enhances the comprehensive identification capability of environmental and trajectory out-of-control risks.

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Abstract

The invention relates to the technical field of food traceability, in particular to a food safety online supervision platform and traceability method based on the Internet of Things and a block chain, and the platform comprises an environment abnormity recognition module, an internal circulation failure recognition module, a track offset recognition module, an abnormal time period cross judgment module and a transportation process traceability data construction module. According to the method, a time sequence structure is constructed through multi-point temperature and humidity information in a cold chain transportation scene, the collaborative abnormal state of a temperature control environment can be recognized, then in combination with response lag between cold machine starting time and temperature and humidity fluctuation, a GPS track in a transportation path is aligned with distance counting sensing information, the difference value change between the track and the physical mileage is extracted, and the real-time monitoring of the temperature and humidity environment is achieved. And carrying out fitting analysis on the continuous offset interval to identify potential path abnormity, and carrying out combined judgment on the offset degree and the cold control response ratio to realize identification, verification and task traceability of abnormal behaviors in the cold chain transportation process.
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