dc.contributor.advisor |
Chandima, DP |
|
dc.contributor.author |
Kuruppu, KAKG |
|
dc.date.accessioned |
2015-09-04T15:52:01Z |
|
dc.date.available |
2015-09-04T15:52:01Z |
|
dc.date.issued |
2015-09-04 |
|
dc.identifier.citation |
Kuruppu, K.A.K.G. (2014). Continuous turbidity monitoring syste [Master's theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.mrt.ac.lk/handle/123/11324 |
|
dc.identifier.uri |
http://dl.lib.mrt.ac.lk/handle/123/11324 |
|
dc.description.abstract |
It is very important to measure the turbidity of raw water because the turbidity of treated water should be less than 5 NTU. In water treatment plants, three water samples per day are taken for turbidity testing. The main objective of this research is to propose on alternative continuous turbidity monitoring system instead of manual test.
Several experiments were alone to fine out a relationshipbetweencolour difference and turbidity. Colour difference was measured and calculated by MATLAB program. Turbidity was measured by “HACH” turbidity meter. Thereafter best fitted curve was development by using E - views software.
After few verification experiments the project was implemented at the laboratory of the treatment plant at Kandana. Final implementations was done at Ingiriya Water Supply Scheme and according to the results arrange error percentage is below 4.14%
Accuracy of the proposed System can be further improved by fitting a better models and by increasing the population of sample data set. |
en_US |
dc.language.iso |
en |
en_US |
dc.subject |
MSc in Industrial Automation |
|
dc.subject |
INDUSTRIAL AUTOMATION-Dissertations |
|
dc.subject |
ELECTRICAL ENGINEERING-Dissertations |
|
dc.subject |
TURBIDITY MONITORING SYSTEM |
|
dc.title |
Continuous turbidity monitoring syste |
en_US |
dc.type |
Thesis-Abstract |
en_US |
dc.identifier.faculty |
Engineering |
en_US |
dc.identifier.degree |
MSc. |
en_US |
dc.identifier.department |
Department of Electrical Engineering |
en_US |
dc.date.accept |
2014 |
|
dc.identifier.accno |
108986 |
en_US |