Rice husk/dust air particle sensor using zigbee wireless sensor network

Air pollution is one of the most important factors affecting the quality of life and health. For a factory that directly producing a lot of dust due to its processing factor, a good air quality factor is very much needed. For this project, a problem faced by a Rice Mill Factory located in Peri...

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Main Author:	Zakaria, Noor Shazliza
Format:	Thesis
Language:	English
Published:	2013
Subjects:	TH Building construction
Online Access:	http://eprints.uthm.edu.my/6711/1/NOOR%20SHAZLIZA%20ZAKARIA%20COPYRIGHT%20DECLARATION.pdf
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id	my-uthm-ep.6711
record_format	uketd_dc
spelling	my-uthm-ep.67112022-03-14T02:14:09Z Rice husk/dust air particle sensor using zigbee wireless sensor network 2013-06 Zakaria, Noor Shazliza TH Building construction TH6014-6081 Environmental engineering of buildings. Sanitary engineering of buildings Air pollution is one of the most important factors affecting the quality of life and health. For a factory that directly producing a lot of dust due to its processing factor, a good air quality factor is very much needed. For this project, a problem faced by a Rice Mill Factory located in Pering, Kedah Darul Aman was taken into account. The factory needs to provide a good air quality surrounding not only for its employee but also for the neighbouring villagers as well. A 24 hours production time also contributed to its pollution factor and the level of exposure met by the employee during the work shift needs to be considered as well. To overcome this problem, a low cost sensor needs to be developed. Rice Husk/Dust Air Particle Sensor using ZigBee Wireless Sensor Network is developed using SHARP GP2Y1010AU0F optical dust sensor as the measurement tools, an Arduino Fio board was used as the development board for its expansion capabilities using ZigBee Wireless Modules. A point to point approached was developed with the data being transmitted back to its host computer, and a serial port is used to read the HEX string data. Parallax Microcontroller Acquisition to Excel (PLX DAQ) software is used to read the string data and save it to Microsoft Excel software. Using Visual Basic Application on Microsoft Excel, a graph displaying the dust measurement can be viewed on the real time basis. The differences of readings from SHARP GP2Y1010AU0F optical dust sensor and value obtained by DOSH Competency Consultant Company were than compared. Conclusively, the sensor and methods used for this project is substantial enough to monitor the dust density for respirable dust pollution in the Rice Mill Factory. 2013-06 Thesis http://eprints.uthm.edu.my/6711/ http://eprints.uthm.edu.my/6711/1/NOOR%20SHAZLIZA%20ZAKARIA%20COPYRIGHT%20DECLARATION.pdf text en staffonly mphil masters Universiti Tun Hussein Onn Malaysia Fakulti Kejuruteraan Elektrik dan Elektronik
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English
topic	TH Building construction TH Building construction
spellingShingle	TH Building construction TH Building construction Zakaria, Noor Shazliza Rice husk/dust air particle sensor using zigbee wireless sensor network
description	Air pollution is one of the most important factors affecting the quality of life and health. For a factory that directly producing a lot of dust due to its processing factor, a good air quality factor is very much needed. For this project, a problem faced by a Rice Mill Factory located in Pering, Kedah Darul Aman was taken into account. The factory needs to provide a good air quality surrounding not only for its employee but also for the neighbouring villagers as well. A 24 hours production time also contributed to its pollution factor and the level of exposure met by the employee during the work shift needs to be considered as well. To overcome this problem, a low cost sensor needs to be developed. Rice Husk/Dust Air Particle Sensor using ZigBee Wireless Sensor Network is developed using SHARP GP2Y1010AU0F optical dust sensor as the measurement tools, an Arduino Fio board was used as the development board for its expansion capabilities using ZigBee Wireless Modules. A point to point approached was developed with the data being transmitted back to its host computer, and a serial port is used to read the HEX string data. Parallax Microcontroller Acquisition to Excel (PLX DAQ) software is used to read the string data and save it to Microsoft Excel software. Using Visual Basic Application on Microsoft Excel, a graph displaying the dust measurement can be viewed on the real time basis. The differences of readings from SHARP GP2Y1010AU0F optical dust sensor and value obtained by DOSH Competency Consultant Company were than compared. Conclusively, the sensor and methods used for this project is substantial enough to monitor the dust density for respirable dust pollution in the Rice Mill Factory.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Zakaria, Noor Shazliza
author_facet	Zakaria, Noor Shazliza
author_sort	Zakaria, Noor Shazliza
title	Rice husk/dust air particle sensor using zigbee wireless sensor network
title_short	Rice husk/dust air particle sensor using zigbee wireless sensor network
title_full	Rice husk/dust air particle sensor using zigbee wireless sensor network
title_fullStr	Rice husk/dust air particle sensor using zigbee wireless sensor network
title_full_unstemmed	Rice husk/dust air particle sensor using zigbee wireless sensor network
title_sort	rice husk/dust air particle sensor using zigbee wireless sensor network
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Fakulti Kejuruteraan Elektrik dan Elektronik
publishDate	2013
url	http://eprints.uthm.edu.my/6711/1/NOOR%20SHAZLIZA%20ZAKARIA%20COPYRIGHT%20DECLARATION.pdf
_version_	1747831086532001792

Rice husk/dust air particle sensor using zigbee wireless sensor network

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