Title :
Prediction of urban water supply quality based on multi-sensor technology
Author :
Zeng, Zhihui ; Lv, Hui
Author_Institution :
Electr. Eng. & Autom. Inst., Henan Polytech. Univ., Jiaozuo
Abstract :
In urban water supply system, the water quality detecting indices such as pH value are monitored continuously. When the indices exceed the limiting value, the system will effectively handle the treatment against accident to ensure the safety of water. Because the water in pipelines has random fluctuation, it is difficult to find the problem in time only by the means of limiting value. This paper presents a method of multivariate fuzzy trend analysis based on multi-sensor technology to forecast the change of water quality and establish corresponding measure for each kind of tendency.
Keywords :
fuzzy control; fuzzy set theory; pipelines; random processes; sensor fusion; water quality; water supply; water treatment; multi sensor technology; multivariate fuzzy trend analysis; pH value monitoring; pipeline; random fluctuation; urban water supply quality prediction; water safety; water treatment; Automation; Gas detectors; Microorganisms; Monitoring; Pipelines; Pollution measurement; Process control; Quality management; Security; Water pollution; Multi-sensor; Urban water; quality prediction; supply Water;
Conference_Titel :
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-2799-4
Electronic_ISBN :
978-1-4244-2800-7
DOI :
10.1109/ICIEA.2009.5138592