Indoor Air Quality Monitoring System Using Microsensor based on Wireless Sensor Network - Dalam bentuk buku karya ilmiah

CAROLINA DWI SUNDARI

Informasi Umum

Kode

24.05.176

Klasifikasi

006.32 - Neural networks, perceptrons, connectionism, neural computers

Jenis

Karya Ilmiah - Thesis (S2) - Reference

Subjek

Indoor Air Pollution

Dilihat

459 kali

Informasi Lainnya

Abstraksi

Indoor air quality (IAQ) significantly impacts health and productivity, influenced by building materials, furniture, and outdoor air quality. Fine particles (PM2.5) are a major pollutant posing respiratory and health risks. IAQ-related diseases contribute to premature deaths, emphasizing the public health concern. Research gaps persist in microsensor-based IAQ evaluation methods, their accuracy, measurement reliability, and performance assessment within sensor networks. This study aims to propose a Wireless Sensor Network (WSN)-based IAQ monitoring system. The system includes sensor calibration for accuracy, a 7-day measurement period, data validation, and daily averaging based on PM2.5 concentration standards. Quality of service assessment determines system specifications. Calibration tests show an R2 value of 0.99 and a standard deviation of 11.65 µg/m³ for PM2.5 sensors. PM2.5 concentrations range from 48 µg/m³ to 75 µg/m³ indoors and 41 µg/m³ to 105 µg/m³ semi-indoors, influenced by environmental factors and air infiltration effects. Post-measurement sensor validation reveals a minimal error of 0.005%. The system achieves consistent data transmission up to 24 meters, even in obstructed environments.