Please use this identifier to cite or link to this item:
http://hdl.handle.net/11189/9571| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Maharaj, Robin | en_US |
| dc.contributor.author | Balyan, Vipin | en_US |
| dc.contributor.author | Khan, Mohammed Tariq | en_US |
| dc.date.accessioned | 2024-01-19T12:24:58Z | - |
| dc.date.available | 2024-01-19T12:24:58Z | - |
| dc.date.issued | 2022 | - |
| dc.identifier.citation | Maharaj, R., Balyan, V. & Khan, M. T. 2022. Optimising data visualisation in the process control and IIoT environments. International Journal on Smart Sensing and Intelligent Systems, 1(15): 1-14. [https://doi.org/10.21307/ijssis-2021-022] | en_US |
| dc.identifier.issn | 1178-5608 | - |
| dc.identifier.uri | http://hdl.handle.net/11189/9571 | - |
| dc.description.abstract | need to get data from different data sources in a standard data format. This paper presents a solution to achieve this convergence in using IoT technology, extracting available data, and making it available to high-level systems in a standard, low latency framework. This paper presents different protocols like OPC UA, Message Queuing Telemetry Transport (MQTT), and Constrained Application Protocol(COAP) to achieve this data transportation/acquisition. It also presents an emerging Low Power Wide Area Network (LPWAN) technology, LoRa WAN, to augment the data of the process control system, explicitly extending the range of sensors to wireless data points. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Exeley | en_US |
| dc.relation.ispartof | International Journal on Smart Sensing and Intelligent Systems | en_US |
| dc.subject | LoRa WAN | en_US |
| dc.subject | MQTT | en_US |
| dc.subject | OPC UA | en_US |
| dc.subject | COAP | en_US |
| dc.subject | Device gateway | en_US |
| dc.title | Optimising data visualisation in the process control and IIoT environments | en_US |
| dc.identifier.doi | https://doi.org/10.21307/ijssis-2021-022 | - |
| dc.type | Article | en_US |
| Appears in Collections: | Eng - Journal articles (DHET subsidised) | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Optimising_data_visualisation.pdf | Article | 1.66 MB | Adobe PDF | View/Open |
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