Physical Analytics - Environmental management

Description:  Distributed sensor networks can be used to obtain critical data for monitoring and managing environmental health. For example, we have developed and deployed the Minimum Airflow Particle Counter (MAPC) to monitor particulate air pollution in Beijing, China. The availability of dense ground measurement data provides a better understanding of where pollutants come from and how they disperse, enabling superior air quality forecasts and precise source identification.

The Minimum Airflow Particle Counter (MAPC) is a portable, low-power, low-cost, wireless optical counter which has been specifically designed for ultra-low-maintenance operation in heavily polluted environments. The MAPC circumvents the common failure mode of dust accumulation by severely restricting airflow through the system, thus enabling an estimated 5-year maintenance cycle while maintaining comparable performance with other low-cost optical particle counters.

We are also developing An Intelligent Multimodal methane management System (AIMS),  a complete methane leak monitoring solution for oil and gas production sites. 


Continuous monitoring for methane emissions is provided by a variety of sensors (I) including both electrochemical and optical CH4 sensors as well as temperature, humidity, wind sensors. Connectivity (II) is established via low power mote communication nodes, a remote gateway, and a cloud-based measurement and management technology. Advanced analytics (III) is then used to identify, localize, and quantify leaks on a continuous basis, feeding into an enterprise event handling / visualization system (IV) to generate alarms and reports.


Recent presentations: