New AirSense Technology Offers Better Residential IAQ Monitoring and Analytics System


Engineers at Michigan State University have developed a new technology that determines the source of the indoor air quality (IAQ) problems and offers suggestions on how to solve them. This technology is more up to date than the previous version which only warns of a problem with indoor air quality.

A report from theNews stated that an Assistant Professor of Electrical and Computer Engineering, Mi Zhang, leads the team that will work on the new technology called AirSense.

According to the report, AirSense is “an intelligent, residential IAQ monitoring and analytics system designed to increase people’s awareness of their IAQ and help manage it in their homes.”

Furthermore, Zhang stated, “Different pollution sources generate different types of pollutants in different ways. For example, oil-based cooking could generate remarkable amounts of harmful airborne particulate matter in a very short period of time that stay in the air for a long time. Household products such as disinfectants and pesticides contain and release numerous volatile organic compounds.”

Zhang added, “Our technology leverages these differences to identify the source and forecast pollution levels to estimate the seriousness of the problem.”

AirSense will also give a more informative weekly IAQ profiling report that will help users understand how their activities inside their homes affect air quality. Poor air quality poses substantial risks to people’s health and is actually the leading cause of respiratory infections, cancers, and chronic lung diseases.

Zhang affirmed, “Our technology would be very helpful for people who are vulnerable to poor air quality, such as the elderly and children with asthma.”

AirSense is presently created for home use but it can be applied in public spaces like subway stations, office establishments, and shopping malls soon.

The other members of the team led by Zhang include Biyi Fang and Taiwoo Park from Michigan State University and Qiumin Xu from the University of Southern California.

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