A blockchain-based method and system for detecting and tracing medicinal and edible ingredients
By designing a blockchain-based medicinal and food homologous food ingredient detection and traceability system, the problems in the existing technology that cannot be realized in decentralized data storage and abnormal processing functions, location pollution sources and responsibility allocation, dynamic scoring, user query and risk warning are achieved, and efficient food safety guarantee and information transparency are achieved.
Patent Information
- Application Number
- CN202510258943.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-06
- Publication Date
- 2025-04-04
AI Technical Summary
The existing technology cannot realize the decentralized data storage and exception handling functions, locate pollution sources through time and space analysis and perform responsibility allocation functions, dynamic scoring functions based on the behavioral data of supply chain participants, and user query and risk warning functions, resulting in the problems of supply chain data being easily intervened by manual intervention and tampered with, supply chain information is opaque, unclear responsibilities and the inability to display relevant data in real time.
A blockchain-based medicinal and food homologous food ingredient detection and traceability system is designed, including detection module, data collection module, blockchain storage module, smart contract module, credit evaluation module and user interaction module. Decentralized data storage is realized through blockchain storage module, smart contract module performs abnormal processing, credit evaluation module performs dynamic scoring, and user interaction module provides query and risk warning functions.
Decentralized data storage and abnormal handling functions have been realized, pollution sources are located through time and space analysis and responsibility allocation, dynamic scoring is performed based on the behavioral data of supply chain participants, user query and risk warning functions have been improved, food safety guarantee efficiency has been enhanced, pollutant traceability has been enhanced, information transparency and user experience have been improved.