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Sustainability 2018, 10(3), 692; https://doi.org/10.3390/su10030692

ASPIE: A Framework for Active Sensing and Processing of Complex Events in the Internet of Manufacturing Things

1,2
,
1
,
1,3
and
2,3,*
1
Key Laboratory of Advanced Manufacturing Technology of Ministry of Education, Guizhou University, Guiyang 550025, China
2
School of Mechanical Engineering, Guizhou University, Guiyang 550025, China
3
Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, USA
*
Author to whom correspondence should be addressed.
Received: 2 February 2018 / Revised: 28 February 2018 / Accepted: 1 March 2018 / Published: 4 March 2018
(This article belongs to the Special Issue Sustainable Materials and Manufacturing)
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Abstract

Rapid perception and processing of critical monitoring events are essential to ensure healthy operation of Internet of Manufacturing Things (IoMT)-based manufacturing processes. In this paper, we proposed a framework (active sensing and processing architecture (ASPIE)) for active sensing and processing of critical events in IoMT-based manufacturing based on the characteristics of IoMT architecture as well as its perception model. A relation model of complex events in manufacturing processes, together with related operators and unified XML-based semantic definitions, are developed to effectively process the complex event big data. A template based processing method for complex events is further introduced to conduct complex event matching using the Apriori frequent item mining algorithm. To evaluate the proposed models and methods, we developed a software platform based on ASPIE for a local chili sauce manufacturing company, which demonstrated the feasibility and effectiveness of the proposed methods for active perception and processing of complex events in IoMT-based manufacturing. View Full-Text
Keywords: Internet of Manufacturing Things (IoMT); critical event; active perception; complex event processing; big data; real-time event Internet of Manufacturing Things (IoMT); critical event; active perception; complex event processing; big data; real-time event
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Li, S.; Chen, W.; Hu, J.; Hu, J. ASPIE: A Framework for Active Sensing and Processing of Complex Events in the Internet of Manufacturing Things. Sustainability 2018, 10, 692.

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