The main objective of this study is to develop a solar-powered mosquito trap equipped with air quality monitoring. Controlling mosquito infestations is a persistent issue that needs ongoing observation and accomplishment. This is because mosquitoes can transmit a number of fatal diseases, and each year they cause the deaths of one million people. The traditional preventative techniques, which involve employing insecticides and bug zappers, are not as successful and have a variety of negative effects on the ecosystem, including the extinction of beneficial insects, changes in mosquito biology, and altered climates. In this study, a solar-powered mosquito trap is created to trap mosquitoes by sucking them in using a fan while being attracted to a built-in LED to lure them into the trap. An air quality monitor is equipped to observe the change of temperature and carbon dioxide (CO2) of the surroundings and as a method to centralize the installation of the trap. The monitor display and air quality data retrieval are processed by an Arduino microcontroller. In the prototype observation, it was shown that the temperature increased proportional to CO2 concentration. The power efficiency of this device increased by 30% when using a solar panel. At optimal sunlight exposure and adequate battery capacity, the device would run for more than 24 hours and would get charged instantly on the next day when sunlight is present. With the air quality monitoring, it will be easier to centralize the installation of the mosquito trap and create a guideline on the suitability of installing the mosquito trap in a particular area.
Author(s) Details:
Raja Siti Nur Adiimah Raja Aris,
Faculty of Engineering Technology, UC TATI, 24000, Kemaman, Terengganu, Malaysia.
Ahmad Armin Sulong,
Faculty of Engineering Technology, UC TATI, 24000, Kemaman, Terengganu, Malaysia.
Suzanna Ridzuan Aw,
Faculty of Engineering Technology, UC TATI, 24000, Kemaman, Terengganu, Malaysia.
Farah Hanan Azimi,
Faculty of Engineering Technology, UC TATI, 24000, Kemaman, Terengganu, Malaysia.
Lia Safiyah Syafie,
Faculty of Engineering Technology, UC TATI, 24000, Kemaman, Terengganu, Malaysia.
Please see the link here: https://stm.bookpi.org/CPPSR-V8/article/view/13976
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