Intelligent Sensing System For Indoor Air Quality Analytics

摘要

Existing indoor air quality monitoring technologies focus on measuring which turn out to be effective in increasing people's awareness of air quality. However, the lack of identification of pollution sources is prone to lead to general and monotonous suggestions. In this disclosure, an indoor air quality analytics system is presented that is able to detect pollution events and identify pollution sources in real-time. The system can also forecast personal exposure to air pollution and provide actionable suggestions to help people improve indoor air quality.