The deployment of the WSN in supervising the water quality for prawns’ industry / Mohamad Haizan Othman

Othman, Mohamad Haizan (2020) The deployment of the WSN in supervising the water quality for prawns’ industry / Mohamad Haizan Othman. [Student Project] (Unpublished)

Abstract

Water quality plays an important role in aquaculture industry especially prawn industries in Malaysia due to the unpredictable weather and saltwater environment. The important parameters such as potential of hydrogen (pH) and temperature need to be monitored and controlled continuously from time to time to maintain the quality of the prawns. Currently, most breeders are still applied the traditional methods that rely on collecting water samples manually, testing and analysing that are lack of capability for real time monitoring and fast dissemination of information for making any decision. Thus, this project aims to develop a wireless sensor network that is capable to monitor and control the quality of prawns in saltwater automatically and accurately. This system can continuously monitor, measure and control the water quality for prawn’s industry for pH level and temperature in real time monitoring system via internet of things (IOT) technology. In this system, NI DAQ is used to capture and collect the data and LabVIEW is act as a graphical user interface (GUI) that displays all the relevant data and measurement of the system. Furthermore, the performance of the system such as pH level and temperature can be viewed and monitored via a mobile phone through a ThingSpeak software for the IOT platform. Fuzzy logic controller is developed to control the valves of the acidic and alkaline motor, so that the pH level of the system can be maintained at the desired value. This system uses two types of internet connection to measure the performance of this system in dissemination of data. First method is wirelessly connected which is using mobile hotspot. Second is using mobile phone itself to monitor the data through ThingSpeak’s mobile apps. All the methods state above have significant good result with more that 90% accuracy. but it still shown a very good result and performance.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Othman, Mohamad Haizan
2016263762
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Damanhuri, Nor Salwa
UNSPECIFIED
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Detectors. Sensors. Sensor networks
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Computer engineering. Computer hardware
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Computer engineering. Computer hardware > Malaysia
Divisions: Universiti Teknologi MARA, Pulau Pinang > Permatang Pauh Campus > Faculty of Electrical Engineering
Programme: Bachelor of Engineering (Hons) Electrical And Electronic Engineering
Keywords: Malaysia, Potential of Hydrogen (pH), NI DAQ, Internet of Things (IOT) technology
Date: July 2020
URI: https://ir.uitm.edu.my/id/eprint/39869
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