Research on IoT based Cyber Physical System for Industrial big data Analytics

Ka Man Lee, C. L. Yeung, M. N. Cheng

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

46 Citations (Scopus)

Abstract

The purpose of this paper is to provide a comprehensive solution for industry through research and development of an Internet of Things (IoT) based Cyber Physical System for Industrial Informatics Analytics with the following objectives. This study conducted a review regarding big data analytics in industry and designed a cyber physical system with the integration of various existing and proprietary data analytics systems based on their business needs so that themodules can be reconfigurable and interchangeable. The paper designs a new context intelligence framework to handle industrial informatics regarding location, sensor and unstructured data for big data mining. A case study isused to illustrate the concept of the proposed cyberphysical system. Further study on system integration and migration from existing factories to smart factories should be conducted so as to realize the next industrial paradigm shift.
Original languageEnglish
Title of host publicationIEEM 2015 - 2015 IEEE International Conference on Industrial Engineering and Engineering Management
PublisherIEEE Computer Society
Pages1855-1859
Number of pages5
Volume2016-January
ISBN (Electronic)9781467380669
DOIs
Publication statusPublished - 18 Jan 2016
EventIEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2015 - Singapore, Singapore
Duration: 6 Dec 20159 Dec 2015

Conference

ConferenceIEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2015
Country/TerritorySingapore
CitySingapore
Period6/12/159/12/15

Keywords

  • Big Data
  • Context awareness
  • Cyberphysical system
  • Data analysis
  • Internet of Things

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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