Water turbidity measurement using fibre optic and neural network / Ruhizan Liza Ahmad Shauri, Rozita Jailani and Mahanijah Md Kamal

Ahmad Shauri, Ruhizan Liza and Jailani, Rozita and Md Kamal, Mahanijah (2006) Water turbidity measurement using fibre optic and neural network / Ruhizan Liza Ahmad Shauri, Rozita Jailani and Mahanijah Md Kamal. [Research Reports] (Unpublished)


Turbidity of water is a measurement of water clarity to show how clear the water appears. The amount of total suspended solids (TSS) in water contributes proportionally to the value of turbidity. Insoluble particles impede the passage of light through water by scattering and absorbing the rays. Thus, the interference to the passage of light could be used for turbidity measurement using a turbidity index. The current existing method of measuring turbidity of water could come in bulky size or small portable turbidity meter. The ability to handle many samples and implementation of on-line monitoring is limited for such devices while some do not support this feature. Taking measurements would be laborious and time consuming especially when the sources of samples are located in remote places which are difficult to be accessed by human. In this research, an alternative turbidity measurement system called the "Fibre Optic Turbidity Measurement System" is designed and its performance is analysed and compared to the measurement from a standard turbidity meter. The concept of the proposed measurement system is to make the turbidity measurement remote, easy to handle and more flexible. Furthermore, the application of fibre optic enables measurement taken at the source of sample but could be remotely controlled from other place by the user. The design for the fibre optic set-up, transmitter circuit, receiver circuit and signal conditioning circuit were covered. A Peripheral Interface Controller (PIC) was used to display the measured data on an LCD. Consequently, measured turbidity from the proposed system in different parameters is trained and tested using Artificial Neural Network (ANN) programming to produce a model that could give good predictions on water turbidity for LCD display.


Item Type: Research Reports
Email / ID Num.
Ahmad Shauri, Ruhizan Liza
Jailani, Rozita
Md Kamal, Mahanijah
Subjects: Q Science > QC Physics > Optics. Light > Physical optics > Fiber optics
Q Science > QC Physics > Weights and measures
Divisions: Universiti Teknologi MARA, Shah Alam > Research Management Centre (RMC) > Institute of Research, Development and Commercialization (IRDC)
Keywords: Total suspended solids (TSS), Water turbidity, Fibre optic, Nueral network
Date: 2006
URI: https://ir.uitm.edu.my/id/eprint/47694
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