Digitalized Optical Sensor Network for Intelligent Facility Monitoring
Due to their inherent advantages, optical fiber sensors (OFSs) can substantially contribute to the monitoring and performance enhancement of energy infrastructure. However, optical fiber sensor systems often are standalone solutions and do not connect to the main energy infrastructure control system...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Photonics |
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| Online Access: | https://www.mdpi.com/2304-6732/12/1/18 |
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| author | Esther Renner Lisa-Sophie Haerteis Joachim Kaiser Michael Villnow Markus Richter Torsten Thiel Andreas Pohlkötter Bernhard Schmauss |
| author_facet | Esther Renner Lisa-Sophie Haerteis Joachim Kaiser Michael Villnow Markus Richter Torsten Thiel Andreas Pohlkötter Bernhard Schmauss |
| author_sort | Esther Renner |
| collection | DOAJ |
| description | Due to their inherent advantages, optical fiber sensors (OFSs) can substantially contribute to the monitoring and performance enhancement of energy infrastructure. However, optical fiber sensor systems often are standalone solutions and do not connect to the main energy infrastructure control systems. In this paper, we propose a solution for the digitalization of an optical fiber sensor system realized by the Open Platform Communications Unified Architecture (OPC UA) protocol and the Internet of Things (IoT) platform Insights Hub. The optical fiber sensor system is based on bidirectional incoherent optical frequency domain reflectometry (biOFDR) and is used for the interrogation of fiber Bragg grating (FBG) arrays. To allow for an automated sensor identification and thus measurement procedure, an optical sensor identification marker based on a unique combination of fiber Bragg gratings (FBGs) is established. To demonstrate the abilities of the digitalized sensor network, a field test was performed in a power plant test facility of Siemens Energy. Temperature measurements of a packaged FBG sensor fiber were performed with a portable demonstrator, illustrating the system’s robustness and the comprehensive data processing stream from sensor value formation to the cloud. The realized network services promote sensor data quality, fusion, and modeling, expanding opportunities using digital twin technology. |
| format | Article |
| id | doaj-art-5cd5d718145f42d79346595c177ace62 |
| institution | Kabale University |
| issn | 2304-6732 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Photonics |
| spelling | doaj-art-5cd5d718145f42d79346595c177ace622025-01-24T13:46:12ZengMDPI AGPhotonics2304-67322024-12-011211810.3390/photonics12010018Digitalized Optical Sensor Network for Intelligent Facility MonitoringEsther Renner0Lisa-Sophie Haerteis1Joachim Kaiser2Michael Villnow3Markus Richter4Torsten Thiel5Andreas Pohlkötter6Bernhard Schmauss7Institute of Microwaves and Photonics, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058 Erlangen, GermanyInstitute of Microwaves and Photonics, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058 Erlangen, GermanySiemens AG Foundational Technologies (Siemens AG), 91058 Erlangen, GermanySiemens AG Foundational Technologies (Siemens AG), 91058 Erlangen, GermanySiemens Energy AG, 91058 Erlangen, GermanyAdvanced Optics Solutions GmbH (AOS), 01139 Dresden, GermanyEngionic Femto Gratings GmbH (engionic), 38640 Goslar, GermanyInstitute of Microwaves and Photonics, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058 Erlangen, GermanyDue to their inherent advantages, optical fiber sensors (OFSs) can substantially contribute to the monitoring and performance enhancement of energy infrastructure. However, optical fiber sensor systems often are standalone solutions and do not connect to the main energy infrastructure control systems. In this paper, we propose a solution for the digitalization of an optical fiber sensor system realized by the Open Platform Communications Unified Architecture (OPC UA) protocol and the Internet of Things (IoT) platform Insights Hub. The optical fiber sensor system is based on bidirectional incoherent optical frequency domain reflectometry (biOFDR) and is used for the interrogation of fiber Bragg grating (FBG) arrays. To allow for an automated sensor identification and thus measurement procedure, an optical sensor identification marker based on a unique combination of fiber Bragg gratings (FBGs) is established. To demonstrate the abilities of the digitalized sensor network, a field test was performed in a power plant test facility of Siemens Energy. Temperature measurements of a packaged FBG sensor fiber were performed with a portable demonstrator, illustrating the system’s robustness and the comprehensive data processing stream from sensor value formation to the cloud. The realized network services promote sensor data quality, fusion, and modeling, expanding opportunities using digital twin technology.https://www.mdpi.com/2304-6732/12/1/18optical fiber sensingfiber Bragg gratingsensor identificationdigitalizationOPC UAInternet of Things |
| spellingShingle | Esther Renner Lisa-Sophie Haerteis Joachim Kaiser Michael Villnow Markus Richter Torsten Thiel Andreas Pohlkötter Bernhard Schmauss Digitalized Optical Sensor Network for Intelligent Facility Monitoring Photonics optical fiber sensing fiber Bragg grating sensor identification digitalization OPC UA Internet of Things |
| title | Digitalized Optical Sensor Network for Intelligent Facility Monitoring |
| title_full | Digitalized Optical Sensor Network for Intelligent Facility Monitoring |
| title_fullStr | Digitalized Optical Sensor Network for Intelligent Facility Monitoring |
| title_full_unstemmed | Digitalized Optical Sensor Network for Intelligent Facility Monitoring |
| title_short | Digitalized Optical Sensor Network for Intelligent Facility Monitoring |
| title_sort | digitalized optical sensor network for intelligent facility monitoring |
| topic | optical fiber sensing fiber Bragg grating sensor identification digitalization OPC UA Internet of Things |
| url | https://www.mdpi.com/2304-6732/12/1/18 |
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