Air Filter Dust Level Sensing System Using Fuzzy Logic

Authors

  • Zhen Ting Bong Universiti Tun Hussein Onn Malaysia
  • Kim Seng Chia Universiti Tun Hussein Onn Malaysia
  • Abu Ubaidah Shamsudin Universiti Tun Hussein Onn Malaysia

Keywords:

dust level, Air filter, Fuzzy logic, Current, Ohm’s law,

Abstract

The conventional air filter dust level checking process needs to manually inspect an air conditioner. This process is dangerous for users because the installation of the air conditioner is high. Hence, this study demonstrates a proposed air filter dust level sensing system that can automatically inspect the dust level inspection and reduce the relying on human visual inspection which is subjectively and tedious. The proposed system employs Ohm’s law for sensing the current of the fan motor of an air conditioner, and employs fuzzy logic controller to estimate the dust level. The current of the fan motor would be processed to determine the relationship between the air filter blockage conditions. The finding shows that the current was proportional to the air filter blockage condition. The lowest current value was 0.2742A for no air filter blockage whereas the highest current value was 0.2898A for full air filter blockage. The system contributes to the society for having a better life as the system is promising to be adapted to inform the users about the air filter dust level of their air conditional.

References

"Saving Money and Staying Cool. A Guide to Air Conditioner Maintenance.," Interstate Air Conditioning & Heating, 2015. [Online]. Available: http://www.interstateair.com/guide-to-air-conditioner-maintenance/. [Accessed 12 December 2017].

"Innovate Malaysia 2018," Daikin Malaysia Sdn Bhd, 2017. [Online]. Available: http://innovate.dreamcatcher.asia/page_02dk.html. [Accessed 11 December 2017].

N. R. E. L. (NREL), Energy-Efficient Air Conditioning, United States: U.S. Department of Energy (DOE), 1999.

M. A. Mokheimer, S. Hussain, M. D. Nadeem and A. A. M. Abdulrahman, "Production Cost–Efficiency Relation for Room Air Conditioners and Its Economic and Environmental Impact," Journal of Energy Resources Technology, vol. 139, no. 6, 2017.

C. Y. Lin, G. R. Crossman and A. K. Verma, "An Air-Filter Sensor for Home-Used Air Conditioners," in American Society for Engineering Education, Norfolk, 2003.

I. Daut, M. Adzrie, M. Irwanto, P. Ibrahim and M. Fitra, "Solar Powered Air Conditioning System," Energy Procedia, vol. 36, pp. 444-453, 2013.

A. B. Altayeva, B. S. Omarov and Y. I. Cho, International Journal of Fuzzy Logic and Intelligent Systems, vol. 16, no. 4, pp. 254-261, 2016.

F. Chabni, R. Taleb, A. Benbouali and M. Amin Bouthiba, "The Application of Fuzzy Control in Water Tank Level Using Arduino," International Journal of Advanced Computer Science and Applications (IJACSA), vol. 7, no. 4, pp. 261-265, 2016.

Downloads

Published

2018-10-26

How to Cite

Bong, Z. T., Chia, K. S., & Shamsudin, A. U. (2018). Air Filter Dust Level Sensing System Using Fuzzy Logic. International Journal of Electrical Engineering and Applied Sciences (IJEEAS), 1(2), 33–40. Retrieved from https://ijeeas.utem.edu.my/ijeeas/article/view/4494

Issue

Vol. 1 No. 2 (2018): Electrical Engineering and Applied Sciences

Section

Articles

License

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).