Development of Innovative Online Modularized Device for Turbidity Monitoring
Given progress in water-quality analytical technology and the emergence of the Internet of Things (IoT) in recent years, compact and durable automated water-quality monitoring devices have substantial market potential. Due to susceptibility to the influence of interfering substances, which lowers me...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-03-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/6/3073 |
| _version_ | 1827747693189922816 |
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| author | Chen-Hua Chu Yu-Xuan Lin Chun-Kuo Liu Mei-Chun Lai |
| author_facet | Chen-Hua Chu Yu-Xuan Lin Chun-Kuo Liu Mei-Chun Lai |
| author_sort | Chen-Hua Chu |
| collection | DOAJ |
| description | Given progress in water-quality analytical technology and the emergence of the Internet of Things (IoT) in recent years, compact and durable automated water-quality monitoring devices have substantial market potential. Due to susceptibility to the influence of interfering substances, which lowers measurement accuracy, existing automated online monitoring devices for turbidity, a key indicator of a natural water body, feature a single light source and are thus insufficient for more complicated water-quality measurement. The newly developed modularized water-quality monitoring device boasts dual light sources (VIS/NIR), capable of measuring the intensity of scattering, transmission, and reference light at the same time. Coupled with a water-quality prediction model, it can attain a good estimate for continuing monitoring of tap water (<2 NTU, error < 0.16 NTU, relative error < 19.6%) and environmental water samples (<400 NTU, error < 3.86 NTU, relative error < 2.3%). This indicates the optical module can both monitor water quality in low turbidity and provide water-treatment information alerts in high turbidity, thereby materializing automated water-quality monitoring. |
| first_indexed | 2024-03-11T05:56:13Z |
| format | Article |
| id | doaj.art-60ffa855df614fdcb148874912812cab |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T05:56:13Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-60ffa855df614fdcb148874912812cab2023-11-17T13:45:35ZengMDPI AGSensors1424-82202023-03-01236307310.3390/s23063073Development of Innovative Online Modularized Device for Turbidity MonitoringChen-Hua Chu0Yu-Xuan Lin1Chun-Kuo Liu2Mei-Chun Lai3Green Energy and Environment Research Laboratories, Industrial Technology Research Institute, Hsinchu 310, TaiwanGreen Energy and Environment Research Laboratories, Industrial Technology Research Institute, Hsinchu 310, TaiwanCenter for Measurement Standards, Industrial Technology Research Institute, Hsinchu 310, TaiwanGreen Energy and Environment Research Laboratories, Industrial Technology Research Institute, Hsinchu 310, TaiwanGiven progress in water-quality analytical technology and the emergence of the Internet of Things (IoT) in recent years, compact and durable automated water-quality monitoring devices have substantial market potential. Due to susceptibility to the influence of interfering substances, which lowers measurement accuracy, existing automated online monitoring devices for turbidity, a key indicator of a natural water body, feature a single light source and are thus insufficient for more complicated water-quality measurement. The newly developed modularized water-quality monitoring device boasts dual light sources (VIS/NIR), capable of measuring the intensity of scattering, transmission, and reference light at the same time. Coupled with a water-quality prediction model, it can attain a good estimate for continuing monitoring of tap water (<2 NTU, error < 0.16 NTU, relative error < 19.6%) and environmental water samples (<400 NTU, error < 3.86 NTU, relative error < 2.3%). This indicates the optical module can both monitor water quality in low turbidity and provide water-treatment information alerts in high turbidity, thereby materializing automated water-quality monitoring.https://www.mdpi.com/1424-8220/23/6/3073turbidityonline monitoringwater-quality |
| spellingShingle | Chen-Hua Chu Yu-Xuan Lin Chun-Kuo Liu Mei-Chun Lai Development of Innovative Online Modularized Device for Turbidity Monitoring Sensors turbidity online monitoring water-quality |
| title | Development of Innovative Online Modularized Device for Turbidity Monitoring |
| title_full | Development of Innovative Online Modularized Device for Turbidity Monitoring |
| title_fullStr | Development of Innovative Online Modularized Device for Turbidity Monitoring |
| title_full_unstemmed | Development of Innovative Online Modularized Device for Turbidity Monitoring |
| title_short | Development of Innovative Online Modularized Device for Turbidity Monitoring |
| title_sort | development of innovative online modularized device for turbidity monitoring |
| topic | turbidity online monitoring water-quality |
| url | https://www.mdpi.com/1424-8220/23/6/3073 |
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