Air Filter Dust Level Sensing System Using Fuzzy Logic

Zhen Ting Bong, Kim Seng Chia, Abu Ubaidah Shamsudin

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.

Keywords


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

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References


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