Air Polluted: Ammonia and Co2 Measurement by Using Arduino

Mohammed, Adil and Shafiq, Osama and Muhammad, Sherwan and Abdulla, Ahmad (2023) Air Polluted: Ammonia and Co2 Measurement by Using Arduino. In: 4th International Conference on Architectural & Civil Engineering Sciences, 21/12/2022.

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Abstract

In this research, the measuring of air quality is one of the needs of humans and other living organisms anywhere. And the detection of the amount of gases that pollute the air such as ammonia and carbon dioxide gases in animal farms or poultry fields or chemical and biological laboratories, which must be detected and reduce their levels in those places or it will cause fatal problems or risk their lives, and it will be dangerous for the health of workers and animals as well, in this research, the design, implementation and control of air quality and measurement of species dimensions Selected gases such as ammonia, carbon dioxide, moisture and air quality ( which contains of four different dangerous gases ) in one device using ARDUINO. The design consider three deferent channels separately can monitor remotely using IOT (Internet of Things) principles, and it will provide more security for workers and technicians, and run the ventilation system to reduced that amount of gases. The decision is dangers or good (safe) is depend on international scientific references level and make comparison with real and instantaneous gas measurement then showing the result on the screen . The results was recoded with deferent condition to evaluate the system.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Air pollution, Air quality measurement, Ammonia Gas, Arduino, Carbon Dioxide gases.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
T Technology > T Technology (General)
Divisions: Department of Informatic and Software Engineering > Research papers
Depositing User: ePrints Depositor
Date Deposited: 31 Oct 2024 11:37
Last Modified: 31 Oct 2024 11:37
URI: https://eprints.cihanuniversity.edu.iq/id/eprint/2170

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