Monitoring Carbon Monoxide (CO) Gas Levels using IoT

Carbon Monoxide is one of the most severe air pollutants. The reduction in ambient air quality caused by CO pollution will have an effect on health. CO gas is toxic in blood because it binds easily to hemoglobin. It can even be fatal because it deprives the heart, central nervous system, and respiratory tract of oxygen. The goal of this study is to determine the development of stage an IoT-based tool for monitoring and detecting Carbon Monoxide (CO) gas. The research method is a research and development method that refers to a spiral development model that generates four syntaxes, namely requirements analysis, design, construction, and testing. The MQ-7 sensor was chosen to detect the presence of CO gas. The controllers Arduino Nano and ESP32 receive gas data from the sensor, send it to the smartphone application, and display the data on the LCD. The sensor can be used as a CO gas detector, according to a comparison of data from the MQ-7 sensor and COmeter test results, with an average data difference of 4.99 ppm for Carbon Monoxide testing in vehicle exhaust gas and 3.76 ppm for Carbon Monoxide testing in cigarette smoke. The study yielded a Carbon Monoxide gas detector and a monitoring app for an IoT-enabled smartphone. Testing of tools to test functionality reveals that the function's feasibility is 100%. As a result, the developed monitoring tool is suitable for use as a Carbon Monoxide gas detection tool.