Airgie Limited

Airgie proposed a unique and intelligent air monitoring system integrated with GIS. The Computation Fluid Dynamics Analysis (CFDA) gives real-time data on air quality for the entire region. A geo-heatmap and human-centered representation will make air quality data easier to understand. To optimize and anticipate air quality, our monitoring system will collaborate with other IoT systems. Their technology consists of a multi-sensor network, Al-based analysis, and an intelligent system. To detect odors, their  primary technology use a gas sensor network. Each self-designed gas sensor module can detect a wide range of chemical gases as well as environmental parameters such as air pressure, humidity, temperature, and flow. The next-generation Long-Range connection wirelessly connects each sensor module for high penetration and low energy consumption. To improve sensing, Airgie employ computational fluid dynamics to describe atmospheric dispersion and depict air distribution in the region. Deep-learning techniques uncover detecting accuracy as well as user behavior. Finally, the intelligent system displays data in three-dimensional spatial information maps.

Team Member(s)
Kuo Wei Ting (PolyU)
Kwok Ching Ping