An Ultrasonic Multi-Beam Concentration Meter with a Neuro-Fuzzy Algorithm for Water Treatment Plants

Sensors

Ho-Hyun Lee²  Sang-Bok Jang¹  Gang-Wook Shin¹  Sung-Taek Hong¹  Dae-Jong Lee²  Myung Geun Chun² 

[1] K-Water Research Institute, Korea Water Resources Corporation, Daejeon 34045, Korea; E-Mails:;School of of Electrical Engineering and Computer Science, Chungbuk National University, Cheongju 28644, Korea; E-Mails:

关键词: ultrasonic concentration meter;    neuro-fuzzy model;    water treatment plants;   

DOI  :  10.3390/s151026961

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.