A Low Cost Method to Analyse Concentration of Carbon Monoxide (CO)
DOI:
https://doi.org/10.11113/jt.v73.4245Keywords:
Carbon Monoxide (CO), gas detector, microcontrollerAbstract
This paper presents the design and development of a Carbon Monoxide (CO) gas detector for vehicles. A  gas sensor MQ7 was used to detect if there is any CO gas leakage in a vehicle. To develop a CO Smart Detector that operates systematically, Arduino Uno was used as a microcontroller to control the whole system. The gas detector would automatically alert the user inside the vehicles by triggering a warning using LED, buzzer and LCD display as indicators. An exhaust fan was also used to extract the polluted air from the vehicle. The colour, green, yellow or red would  appear on the LED automatically when there is a certain level of CO concentration in the vehicle. Green LED is for safe condition and yellow LED and buzzer with beep sound will be turned on automatically in an alert condition. Finally, red LED with its continuous sound would come on when the MQ7 sensor detects a dangerous level of CO concentration in the vehicle. In addition to the buzzer with its continuous sound to alert users, a fan to extract the air from inside the vehicle could be turned on automatically or manually using  a switch if the need arises.
References
Abdul Rahim, R. a. M. N., Norkharziana and Fazalul Rahiman, Mohd. Hafiz. 2006. Ultrasonic Tomography System For Liquid/Gas Flow: Frame Rate Comparison Between Visual Basic And Visual C++ Programming. Jurnal Teknologi. 131–150.
Hashim, M. A. B. 2011. Optical Process Tomography for Measurement of Bubbles. UTM.
Kazantsev, D. and V. Pickalov. 2008. Fan-beam Tomography Iterative Algorithm Based on Fourier Transform. In Nuclear Science Symposium Conference Record, 2008. NSS '08. IEEE.
Rahim, R. A., et al. 2010. Modeling Orthogonal and Rectilinear Mixed-modality Projection of Optical Tomography for Solid-particles Concentration Measurement. Sensors and Actuators A: Physical. 161(1–2): 53–61.
Ruzairi Abdul Rahim, G. C. L., Mohd. Hafiz Fazalul Rahiman, Chan Kok San, Pang Jon Fea, Leong Lai Chan. 2010. Optical Tomography System Using Microprocessor And Ethernet Controller-based Data Acquisition System. Emerald Research.
Md. Yunos, Y. a. A. R., Ruzairi and Green, R. G. and Fazalul Rahiman, Mohd. Hafiz. 2007. Image Reconstruction Using Iterative Transpose Algorithm for Optical Tomography. Jurnal Teknologi. 47: 91–102.
Rahim, R. A., J. F. Pang, and K. S. Chan. 2005f. Optical Tomography Sensor Configuration Using Two Orthogonal and Two Rectilinear Projection Arrays. Flow Measurement and Instrumentation. 16(5): 327–340.
Chan Kok San, R. A. R. 2002. Optical Tomography Sensor Configuration. In 2nd World Engineering Congress. Sarawak, Malaysia.
Mohd Fahajumi Jumaaha, M. Z. Z., Fazlul Rahman Mohd Yunus, Ruzairi Abdul Rahim, Nor Muzakkir Nor Ayob, Muhammad Saiful Badri Mansor, Naizatul Shima Fadzil, Zulkarnay Zakaria, Mohd Hafiz Fazalul Rahiman. 2013. Study of the Effect of Brightness After Penetration of Light from a Lens. Jurnal Teknologi. 30 April.
E Schleicher, M. J. d. S., S Thiele, A Li, EWollrab and U Hampel. 2008. Design of an Optical Tomograph for the Investigation of Single- and Two-Phase Pipe flows. Meas. Sci. Technol. 19(9).
Photodiodes and Phototransistors.[cited 3 February 2011; http://hades.mech.nortwestern.edu/index.htp/Photodiodes_and_Phototransistors.
Siti Zarina Mohd. Muji, R. A. R., Marlia Morsin. 2009. Criteria for Sensor Selection in Optical Tomography. In IEEE Symposium on Industrial Electronics & Applications Best Western Premier Seri Pacific Hotel, Kuala Lumpur.
M. Fadzli Abdul Shaib, R. A. R., Siti Zarina M. Muji, Naizatul Shima, Mohd Zikrillah Zawahir. 2013. Comparison Between Two Different Types of Microcontroller in Developing Optical Tomography Controller Unit. Jurnal Teknologi. 1 May.
Naizatul Shima Mohd Fadzil, R .A. R., Mohd Safirin Karis, Siti Zarina Mohd Muji, Mohd Fadzli Abdul Sahib, Mohd Saiful Badri Mansor, Nor Muzakkir Nor Ayob, Mohd Fahajumi Jumaah, Mohd Zikrillah Zawahir. 2013. Hardware Design of Laser Optical Tomography System for Detection of Bubbles Column. Jurnal Teknologi. 1 April.
V. P. Chilekar, M. J. F. Warnier, J. van der Schaaf, B. F. M. Kuster, J. C. Schouten, J. R. van Ommen. 2005. Bubble Size Estimation In Slurry Bubble Columns From Pressure Fluctuations. Wiley online, AICHE, May.
Dominique Toye, E. F., Daniel Simon, Michel Crine, Guy L'Homme, Pierre Marchot. 2008. Possibilities and Limits of Application of Electrical Resistance Tomography in Hydrodynamics of Bubble Columns. Wiley Online, The Canadian Journal. May.
Sherly, K. 2001. UK Research Bobs for Bubbles. April.
Downloads
Published
Issue
Section
License
Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.
