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 |
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Title of host publication | 2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing |
Subtitle of host publication | CSNDSP 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Number of pages | 6 |
ISBN (Electronic) | 9781509025268 |
ISBN (Print) | 9781509025275 |
DOIs | |
Publication status | Published - 22 Sep 2016 |
Externally published | Yes |
Event | 10th International Symposium on Communication Systems, Networks and Digital Signal Processing - Prague, Czech Republic Duration: 20 Jul 2016 → 22 Jul 2016 Conference number: 10 |
Conference
Conference | 10th International Symposium on Communication Systems, Networks and Digital Signal Processing |
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Abbreviated title | CSNDSP 2016 |
Country/Territory | Czech Republic |
City | Prague |
Period | 20/07/16 → 22/07/16 |