| Abstract [eng] |
This work discusses the main indoor air pollutants, their sources and effects on health. Discussed sensors used for air quality assessment. The aim of the research is to evaluate indoor air quality management options using sensors. Acetone, toluene, and trichloroethylene concentration studies were performed using three sensors. The study was to determine how different sensors can identify known contaminants. Research showed that all three sensors readings have different results from the known concentrations. The correlation coefficient of the sensors readings and research compounds concentrations were calculated. All relationships between sensors readings and concentrations of compounds correlation was very strong (all correlations coefficients from 0,9 to 1,0). Using linear regression analysis model it was found out that the non–methane hydrocarbons (NMHC) sensor was the most sensitive to acetone concentration, the slope coefficient was highest – 21,432. Metal oxides (VOC) sensor was least sensitive, the slope coefficient – 0,5044. After the regression analysis resulted in the lowest rate certainty investigating acetone concentration was metal oxides (VOC) sensor – R² = 0,7628, highest - photoionization sensor (PID) – R² = 0,9995. The results and analysis of the study showed that all sensors are correlated with each other and practically comparable for all investigated compounds but calibration is needed more often than recommended by the manufacturer. |
