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 language | English |
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Title of host publication | IEEM 2015 - 2015 IEEE International Conference on Industrial Engineering and Engineering Management |
Publisher | IEEE Computer Society |
Pages | 1855-1859 |
Number of pages | 5 |
Volume | 2016-January |
ISBN (Electronic) | 9781467380669 |
DOIs | |
Publication status | Published - 18 Jan 2016 |
Event | IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2015 - Singapore, Singapore Duration: 6 Dec 2015 → 9 Dec 2015 |
Conference
Conference | IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2015 |
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Country/Territory | Singapore |
City | Singapore |
Period | 6/12/15 → 9/12/15 |
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