Studies consistently demonstrate that poor air quality, specifically elevated CO₂ levels above 1,000 ppm, negatively impacts cognitive function and decision-making. Conversely, optimized ventilation and temperature control have shown to improve student performance by up to 10% and reduce the spread of airborne illnesses. Achieving these benefits necessitates reliable, real-time monitoring of key environmental parameters such as CO₂, temperature, humidity, and noise levels, enabling proactive adjustments to create healthier and more productive spaces.
Utilizing sensors and wireless modules, these systems need to ensure reliable data transmission to cloud platforms. At this point, they face obstacles related to power efficiency, signal strength, and data security. Scalability also presents a challenge, since managing numerous connected devices across various locations requires robust connectivity solutions.