Development of a real-time monitoring and detection indoor air quality system for intensive care unit and emergency department

To develop an Indoor Air Quality (IAQ) monitoring and detecting system based on a new Internet of Thing (IoT) sensory technology device that incorporated nine recommended indoor pollutants by the academic literature reliable organizations, such as World Health Organization (WHO), Environmental Protection Agency (EPA), International for Standardization (ISO). The include Carbon Monoxide (CO), Dioxide (CO2), Nitrogen (NO2), Ozone (O3), Formaldehyde (HCHO), Volatile Organic Compounds (VOC), Particulate Matter 2.5 (PM2.5) well air humidity temperature are used to assess variety provide IAQ dataset. Besides, newly developed provides real-time quality monitoring, reports pollutants’ data cloud platform (i.e., ThingSpeak), can trigger early warnings service when abnormalities occurred in index. was tested ensure its conformance collaborating with surgeons specializing hospital surgical intensive care unit (SICU), emergency department (ED), women’s ward, which accommodate patients who either born mothers (in case they need that) or have had operation, pregnant stay be under supervision medical care. Nine were identified collected dataset their thresholds affect within facilities services (SICU, ED) assessing effectiveness amount, concentration, diversity pollutants. In SICU, concentrations some high beginning due residues previous surgery because frequent use sterilizers clean prepare room. Then, moderate, but minutes after start surgical, increase CO2 formaldehyde observed, exceeds threshold limit anesthetic gas sterilization. all generally moderate except particles matter PM2.5, same context 3rd installed location pharmacy ED, most exceeded threshold. “CO” highest positive correlated strongly “NO2” expected CO influences oxidation NO NO2. On contrary, negative correlation “VOC”, chemistry is part responsibility weak observed between