Project no. 107
Alexandra Tran, Alisher Tortay
KAIST, Department of Electrical Engineering and Computer Science
The world’s largest environmental health risk: air pollution is accelerating climate change
and endangering the health of over 90% of people around the globe.
On Earth, 7 million human beings die every year from breathing polluted air. People suffer
from stroke, heart disease, lung cancer, as well as acute and chronic respiratory conditions.
Labour workers in the mining and construction industry have the highest exposure to
respirable dust and are most vulnerable to suffering from debilitating diseases.
Climate change is exacerbated by air pollution, both short-lived climate pollutants (SLCPs)
and long-lived carbon dioxide. Consequentially, pollution sources precipitate extreme
weather events, unprecedented sea-level rise, drought and wildfires, and food shortages.
The World Bank published that deaths caused by air pollution costs the global economy
US$225 billion per year. Based on welfare losses, the aggregate cost of worldwide deaths
totals to US$5 trillion each year. For mining and construction companies, the Breathe Easy
system is an appropriate, affordable investment to protect the health and safety of workers.
The substance that is most accountable for death and disease is particulate matter,
specifically less than 2.5μm in diameter. Accordingly, the Breathe Easy wearable device
detects PM2.5 within the breathing zone to reveal the worker’s personal exposure over time.
Figure 1: Sensor Network with Wearable Device and Artificial Intelligence Alert System
Wearable device monitors and alerts individual workers of exposure in real-time.
Machine learning algorithms identify the location of pollution sources across
worksites, which enables companies to rapidly mitigate emergency situations.
Environmental Impact Assessments are automatically generated, since companies
are legally obliged to report on pollution emissions as per International Standards.