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Data acquisition and alert system for recirculation aquaculture system (RAS) using fog computing

Master of Science in Embedded Systems Design Engineering

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Bibliographic Details
Main Author: Siti Maryam, Zainol
Other Authors: R. Badlishah, Ahmad, Prof. Dr.
Format: Dissertation
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2017
Subjects:
Cloud computing
Fish-culture
Data acquisition
Internet of Things (IoT)
Recirculation aquaculture system (RAS)
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72439
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spelling my.unimap-724392021-12-17T03:35:05Z Data acquisition and alert system for recirculation aquaculture system (RAS) using fog computing Siti Maryam, Zainol R. Badlishah, Ahmad, Prof. Dr. Cloud computing Fish-culture Data acquisition Internet of Things (IoT) Recirculation aquaculture system (RAS) Master of Science in Embedded Systems Design Engineering This research presents an improved and more effective approach for data acquisition of recirculation aquaculture system (RAS). In the previous research, the system uses manual methods to take the important data from RAS and it wastes the time because manual system uses human compare to computer. It is also gets late response from the fish farmer if the data is not in the good condition. As a result, fog computing technology is applied to overcome all these problems and acts as advance data acquisition system to keep data safely by sharing the processed data in fog computing for every tanks and analyze the data to make an accurate control/decision in the real time. Besides, open source technology plus embedded system based has been integrated for this research because its benefits such as small size, low cost, lightweight, portable, high efficiency and low power consumption. This research has achieved the objectives which are design and develop data collecting system, data processing system using fog computing for RAS and validate the system. The data collecting system for RAS (RaspDAQ) is developed by connecting Raspberry Pi 3 to temperature sensor (LM35DT) using analogue digital converter (ADC) MCP3002, water level sensor (HCSR04), Rpi camera module, LEDs and buzzer. Software and program are built using Python and Apache server to run every functions of RaspDAQ. Two RaspDAQ are used in this research which are RaspDAQ1 and RaspDAQ2. While third Raspberry Pi 3 is setup as data processing and server system (RaspFog). Raspfog uses PHP, Apache and MySQL database. Both RaspDAQ and RaspFog are based on Raspbian operating system. After that, RaspDAQ1 and RaspDAQ2 are connected to RaspFog using WiFi technology to send sensors data in real time. The received data are stored and plotted using Highcharts.com graph. Both RaspDAQ, RaspFog have been tested and validated. At the same time, users can see the graph output in the real time for temperature, water level sensor and real condition using Rpi camera module of RaspDAQ1 and RaspDAQ2 by browsing RaspFog website. Finally, fog computing technology has been implemented successfully to RAS in this research. 2017 2021-10-14T01:57:46Z 2021-10-14T01:57:46Z Dissertation http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72439 en Universiti Malaysia Perlis (UniMAP) Universiti Malaysia Perlis (UniMAP) School of Computer and Communication Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Cloud computing
Fish-culture
Data acquisition
Internet of Things (IoT)
Recirculation aquaculture system (RAS)
spellingShingle Cloud computing
Fish-culture
Data acquisition
Internet of Things (IoT)
Recirculation aquaculture system (RAS)
Siti Maryam, Zainol
Data acquisition and alert system for recirculation aquaculture system (RAS) using fog computing
description Master of Science in Embedded Systems Design Engineering
author2 R. Badlishah, Ahmad, Prof. Dr.
author_facet R. Badlishah, Ahmad, Prof. Dr.
Siti Maryam, Zainol
format Dissertation
author Siti Maryam, Zainol
author_sort Siti Maryam, Zainol
title Data acquisition and alert system for recirculation aquaculture system (RAS) using fog computing
title_short Data acquisition and alert system for recirculation aquaculture system (RAS) using fog computing
title_full Data acquisition and alert system for recirculation aquaculture system (RAS) using fog computing
title_fullStr Data acquisition and alert system for recirculation aquaculture system (RAS) using fog computing
title_full_unstemmed Data acquisition and alert system for recirculation aquaculture system (RAS) using fog computing
title_sort data acquisition and alert system for recirculation aquaculture system (ras) using fog computing
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2017
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72439
_version_ 1724609901711327232
score 13.214268

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