4.5 Article

Real-time information capturing and integration framework of the internet of manufacturing things

Journal

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/0951192X.2014.900874

Keywords

sensor networks; Auto-ID; real-time manufacturing information; the internet of manufacturing things (IoMT)

Funding

  1. National Science Foundation of China [51175435]
  2. program for New Century Excellent Talents in University [NCET-12-0463]
  3. research fund for the doctoral program of higher education [20136102110022]
  4. science and technology research and development program in Shaanxi province [2013KJXX-20]

Ask authors/readers for more resources

Currently, the typical challenges that manufacturing enterprises faced are the lack of timely, accurate and consistent information of manufacturing things (resources) during manufacturing execution. Real-time information visibility and traceability allows decision makers to make better-informed shop-floor decisions. In this article, a real-time information capturing and integration architecture of the internet of manufacturing things (IoMT) is presented to provide a new paradigm by extending the techniques of IoT to manufacturing field. Under this architecture and its key components, the manufacturing things such as operators, machines, pallets, materials etc. can be embedded with sensors, they can interact with each other. Considering the challenges of processing a huge amount of real-time data into useful information and exchange it among the heterogeneous application systems, a Real-time Manufacturing Information Integration Service (RTMIIS) has been designed to achieve seamless dual-way connectivity and interoperability among enterprise layer, workshop floor layer and machine layer. Finally, a near-life scenario has been used to illustrate the proof-of-concept application of the proposed IoMT.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available