Architecture and models of real-time tracking and tracing IOT for automobile production process

X. B. Zhao, Y. F. Zhang, D. X. Zang

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

Abstract

According to the analysis of the new requirements of the production management faced by current automobile manufacturing enterprises, the concept and architecture of real-time tracking and tracing IoT (the Internet of Things) for Automobile Production Process, namely APP-IoT, is put forward. Under this architecture, the main models including the configuration of the IoT-enabled manufacturing environment, multi-source data perceiving and transition, multi-source data processing and integration, MBOM (Manufacturing Bill of Materials) based dynamical sensing and tracing etc. are described respectively. The presented architecture and models of APP-IoT will provide an important foundation for enhancing the capabilities of real-time sensing, dynamical tracing, real-time predication and intelligent management of the automobile manufacturing enterprises.

Original languageEnglish
Title of host publication43rd International Conference on Computers and Industrial Engineering 2013, CIE 2013
PublisherComputers and Industrial Engineering
Pages147-153
Number of pages7
ISBN (Print)9781629934372
StatePublished - 2013
Event43rd International Conference on Computers and Industrial Engineering 2013, CIE 2013 - Hong Kong, Hong Kong
Duration: 16 Oct 201318 Oct 2013

Publication series

NameProceedings of International Conference on Computers and Industrial Engineering, CIE
Volume1
ISSN (Electronic)2164-8689

Conference

Conference43rd International Conference on Computers and Industrial Engineering 2013, CIE 2013
Country/TerritoryHong Kong
CityHong Kong
Period16/10/1318/10/13

Keywords

  • Automobile manufacturing
  • IoT
  • Multi-source manufacturing information
  • Real-time monitoring and controlling

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