Research on information interoperability of grains and oil supply chain based on identification resolution system of industrial internet

Boyu Xu, Jiping Xu*, Senchun Chai, Jian Jin, Chongchong Yu, Zhaoyang Wang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The grains and oils supply chain has many characteristics, such as long life cycle, complex links, multiple sources of information, fragmented data, and many risk factors, etc. Based on the industrial Internet identification resolution system, the method and technology of information exchange in the whole supply chain of grains and oils are studied. Through the analysis of my country's industrial Internet identification resolution system, design identification and resolution connection middleware architecture. The identification resolution system is the nerve hub that supports the interconnection of all things in industry. By opening up the data of the whole supply chain of grains and oils, it will realize the extensive interconnection of upstream and downstream industries and cross-fields. It breaks the "information island"and ensures the quality and safety of the whole life cycle of grains and oils. On this basis, a feasible information exchange framework for the whole supply chain of grains and oils is constructed. This has practical implications.

Original languageEnglish
Title of host publicationInternational Symposium on Artificial Intelligence Control and Application Technology, AICAT 2022
EditorsWei Wei
PublisherSPIE
ISBN (Electronic)9781510656710
DOIs
Publication statusPublished - 2022
Event2022 International Symposium on Artificial Intelligence Control and Application Technology, AICAT 2022 - Hangzhou, China
Duration: 6 May 20228 May 2022

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12305
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference2022 International Symposium on Artificial Intelligence Control and Application Technology, AICAT 2022
Country/TerritoryChina
CityHangzhou
Period6/05/228/05/22

Keywords

  • food safety
  • grains and oils
  • identification resolution system
  • industrial internet
  • information interoperability
  • whole supply chain

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