Design and Development of Air Quality Measurement with Early Warning Systems

A common problem in urban areas is the environmental issue of air pollution. Air pollution is the result of natural processes as well as human activities and activities that can lead to a decline in air quality. Although many people already know the risks of inhaling polluted air, it is often overlooked because there is still a lack of information about the real-time levels of inhaled compounds in the environment. Meanwhile, many effects from air pollution include difficulty breathing, coughing, asthma, emphysema to more severe illnesses. As the concentration of pollutants increases, the detection of concentrations of these compounds becomes important to prevent excess levels of hazardous compounds in the atmosphere. Therefore, it is necessary to measure and monitor the air quality that is equipped with an early warning system. In this study, a component validation test has been carried out where carbon dioxide levels measured by NDIR sensors are 99.33%, carbon monoxide levels measured by MQ-7 sensors with 98.85%, and DHT22 sensors have 99.72% accuracy for temperature variables and 98.85% for humidity variable. Online monitoring systems displayed on websites and offline monitoring systems using TFT LCD successfully display CO, CO₂, NO₂, temperature, and humidity. In addition, the initial warning system functions according to the parameters of each condition. The monitoring system that has been tested has performance with an average delay of 6 to 7 seconds between online and offline monitoring. This delay is due to an unfavorable internet connection that affects the process of sending data from hardware to databases