An Ultrasonic Multi-Beam Concentration Meter with a Neuro-Fuzzy Algorithm for Water Treatment Plants
Ultrasonic concentration meters have widely been used at water purification, sewage treatment and waste water treatment plants to sort and transfer high concentration sludges and to control the amount of chemical dosage. When an unusual substance is contained in the sludge, however, the attenuation...
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| Format: | Article |
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MDPI AG
2015-10-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/15/10/26961 |
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| author | Ho-Hyun Lee Sang-Bok Jang Gang-Wook Shin Sung-Taek Hong Dae-Jong Lee Myung Geun Chun |
| author_facet | Ho-Hyun Lee Sang-Bok Jang Gang-Wook Shin Sung-Taek Hong Dae-Jong Lee Myung Geun Chun |
| author_sort | Ho-Hyun Lee |
| collection | DOAJ |
| description | Ultrasonic concentration meters have widely been used at water purification, sewage treatment and waste water treatment plants to sort and transfer high concentration sludges and to control the amount of chemical dosage. When an unusual substance is contained in the sludge, however, the attenuation of ultrasonic waves could be increased or not be transmitted to the receiver. In this case, the value measured by a concentration meter is higher than the actual density value or vibration. As well, it is difficult to automate the residuals treatment process according to the various problems such as sludge attachment or sensor failure. An ultrasonic multi-beam concentration sensor was considered to solve these problems, but an abnormal concentration value of a specific ultrasonic beam degrades the accuracy of the entire measurement in case of using a conventional arithmetic mean for all measurement values, so this paper proposes a method to improve the accuracy of the sludge concentration determination by choosing reliable sensor values and applying a neuro-fuzzy learning algorithm. The newly developed meter is proven to render useful results from a variety of experiments on a real water treatment plant. |
| first_indexed | 2024-04-13T00:27:02Z |
| format | Article |
| id | doaj.art-b777a791da5d46649485123573b0fac0 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T00:27:02Z |
| publishDate | 2015-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-b777a791da5d46649485123573b0fac02022-12-22T03:10:35ZengMDPI AGSensors1424-82202015-10-011510269612697710.3390/s151026961s151026961An Ultrasonic Multi-Beam Concentration Meter with a Neuro-Fuzzy Algorithm for Water Treatment PlantsHo-Hyun Lee0Sang-Bok Jang1Gang-Wook Shin2Sung-Taek Hong3Dae-Jong Lee4Myung Geun Chun5School of of Electrical Engineering and Computer Science, Chungbuk National University, Cheongju 28644, KoreaK-Water Research Institute, Korea Water Resources Corporation, Daejeon 34045, KoreaK-Water Research Institute, Korea Water Resources Corporation, Daejeon 34045, KoreaK-Water Research Institute, Korea Water Resources Corporation, Daejeon 34045, KoreaSchool of of Electrical Engineering and Computer Science, Chungbuk National University, Cheongju 28644, KoreaSchool of of Electrical Engineering and Computer Science, Chungbuk National University, Cheongju 28644, KoreaUltrasonic concentration meters have widely been used at water purification, sewage treatment and waste water treatment plants to sort and transfer high concentration sludges and to control the amount of chemical dosage. When an unusual substance is contained in the sludge, however, the attenuation of ultrasonic waves could be increased or not be transmitted to the receiver. In this case, the value measured by a concentration meter is higher than the actual density value or vibration. As well, it is difficult to automate the residuals treatment process according to the various problems such as sludge attachment or sensor failure. An ultrasonic multi-beam concentration sensor was considered to solve these problems, but an abnormal concentration value of a specific ultrasonic beam degrades the accuracy of the entire measurement in case of using a conventional arithmetic mean for all measurement values, so this paper proposes a method to improve the accuracy of the sludge concentration determination by choosing reliable sensor values and applying a neuro-fuzzy learning algorithm. The newly developed meter is proven to render useful results from a variety of experiments on a real water treatment plant.http://www.mdpi.com/1424-8220/15/10/26961ultrasonic concentration meterneuro-fuzzy modelwater treatment plants |
| spellingShingle | Ho-Hyun Lee Sang-Bok Jang Gang-Wook Shin Sung-Taek Hong Dae-Jong Lee Myung Geun Chun An Ultrasonic Multi-Beam Concentration Meter with a Neuro-Fuzzy Algorithm for Water Treatment Plants Sensors ultrasonic concentration meter neuro-fuzzy model water treatment plants |
| title | An Ultrasonic Multi-Beam Concentration Meter with a Neuro-Fuzzy Algorithm for Water Treatment Plants |
| title_full | An Ultrasonic Multi-Beam Concentration Meter with a Neuro-Fuzzy Algorithm for Water Treatment Plants |
| title_fullStr | An Ultrasonic Multi-Beam Concentration Meter with a Neuro-Fuzzy Algorithm for Water Treatment Plants |
| title_full_unstemmed | An Ultrasonic Multi-Beam Concentration Meter with a Neuro-Fuzzy Algorithm for Water Treatment Plants |
| title_short | An Ultrasonic Multi-Beam Concentration Meter with a Neuro-Fuzzy Algorithm for Water Treatment Plants |
| title_sort | ultrasonic multi beam concentration meter with a neuro fuzzy algorithm for water treatment plants |
| topic | ultrasonic concentration meter neuro-fuzzy model water treatment plants |
| url | http://www.mdpi.com/1424-8220/15/10/26961 |
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