Boonlom, K., Chudpooti, N., Rungraungsilp, S. et al. (4 more authors) (2025) Multiwavelength Optical Sensing of Water-Level Stratification in Closed Plastic Pipelines Using Signal Attenuation and CIR Analysis. IEEE Sensors Journal, 25 (19). 35991 -36001. ISSN: 1530-437X
Abstract
This article presents an optical sensing technique for estimating water-fill levels and stratification states inside closed plastic pipelines using multiwavelength visible light. Four LEDs (475, 528, 583, and 625 nm) and a photodiode receiver with automatic gain control (AGC) are deployed across a PVC pipe section to monitor the effects of air–water stratification on signal attenuation and channel impulse response (CIR). The experimental results and ray-tracing simulations reveal wavelength-specific optical losses and CIR variations that correspond to fill ratios from 0% to 100%. Compared to conventional water-level sensors, which often rely on float mechanisms, capacitive probes, or ultrasonic pulses, this method enables contactless, inline assessment of water distribution in sealed, nontransparent geometries. Unlike prior optical approaches applied mainly to open tanks or homogeneous media, this work demonstrates that stratified layers in confined pipelines can be resolved through spectral and time-domain features. The system offers a compact and mechanically simple sensing alternative for embedded monitoring or mobile robotic inspection platforms.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2025 The Authors. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | Channel impulse response (CIR), LED-based sensor, optical sensing, photodiode receiver, PVC pipe, stratified fluids, visible light, water-level estimation |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) |
| Funding Information: | Funder Grant number UNSPECIFIED EP/S016813/1 |
| Date Deposited: | 18 Aug 2025 09:51 |
| Last Modified: | 03 Nov 2025 12:08 |
| Status: | Published |
| Publisher: | IEEE |
| Identification Number: | 10.1109/JSEN.2025.3598923 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:230432 |

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