Abstract
Current research in high value-added manufacturing processes, such as the Micro Injection Molding (μIM) process, focuses on the monitoring of the machine process data., which could potentially affect the quality of the end product. Up until now, machine process monitoring has been limited to the machine level and has often bypassed the ambient environmental factors and pre manufacturing factors, which could have direct impact on the end product quality. In light of this, extending the monitoring of high value-added processes to include the ambient manufacturing environment would have numerous benefits in terms of process monitoring accuracy, material condition and product quality. In this paper, we present a novel Service Orientated Architecture (SOA) for monitoring a high value-added manufacturing process and its ambient environment using Wireless Sensor Networks (WSN). The proposed architecture applies the SOA to a network of wireless sensor nodes installed in the uIM machine and the industrial micro-molding environment. Here we present; the generic architectural design, system integration, user interfaces, and initial test results for an experimental testbed system.
| Original language | English |
|---|---|
| Title of host publication | 2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781509025268 |
| DOIs | |
| State | Published - 21 Sep 2016 |
| Externally published | Yes |
Publication series
| Name | 2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2016 |
|---|
Bibliographical note
Publisher Copyright:© 2016 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Internet of Things (IoT)
- Micro Injection Molding
- Service Orientated Architecture (SOA)
- Wireless Sensor Networks (WSN)
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Signal Processing
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