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Fuzzy Logic-Based Wet Scrubber to Control Air Pollutant

Waste burning is a way that can significantly reduce its volume. This method has a high hygiene level from the presence of bacteria, and reduces odor due to the decay process. However, uncontrolled burning of waste is the main source of air pollutants, including smoke, and harmful gases. In this study, we have designed and realized a wet scrubber-based air pollution control system using fuzzy logic method applied to an Arduino Nano microcontroller. This system uses tin oxide semiconductor gas sensor to measure the concentration of hydrogen sulfide gas, and a water pump equipped with a nozzle to spray water. The experimental result shows that the system can reduce hydrogen sulfide levels with the removal efficiency of more than 99%. This method is expected to be applied to incinerator systems.