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Interval-Based Out-of-Order Event Processing in Intelligent Manufacturing
School of Information and Electrical Engineering, Ludong University, Yantai, China
Yantai Cloudoer Software Co., Ltd., Yantai, China
School of Information and Electrical Engineering, Ludong University, Yantai, China
School of Information and Electrical Engineering, Ludong University, Yantai, China
- 1 School of Information and Electrical Engineering, Ludong University, Yantai, China
- 2 Yantai Cloudoer Software Co., Ltd., Yantai, China
- 3 School of Information and Electrical Engineering, Ludong University, Yantai, China
- 4 School of Information and Electrical Engineering, Ludong University, Yantai, China
Journal of Intelligent Learning Systems and Applications·Volume 10 (2018)·Pages 21–35·Published 7 May 2018·DOI10.4236/jilsa.2018.102002
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Abstract
Estimating the cycle time of each job over event streams in intelligent manufacturing is critical. These streams include many long-lasting events which have certain durations. The temporal relationships among those interval-based events are often complex. Meanwhile, network latencies and machine failures in intelligent manufacturing may cause events to be out-of-order. This topic has rarely been discussed because most existing methods do not consider both interval-based and out-of-order events. In this work, we analyze the preliminaries of event temporal semantics. A tree-plan model of interval-based out-of-order events is proposed. A hybrid solution is correspondingly introduced. Extensive experimental studies demonstrate the efficiency of our approach.
KeywordsEvent StreamsIntelligent ManufacturingInterval-Based EventsOut-of-Order Events
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