IoT device performs air quality data analytics to meet US EPA Air Quality and industry safety standards.
AQI kit dashboard shows real-time data and how it compares to environmental standards. (All images courtesy of SensorInsight.)
Internet of Things (IoT) software provider SensorInsight has just announced the release of its Air Quality Index (AQI) kit. This IoT device was made in conjunction with sensor company Libelium to help cities and industry report their air quality data.
The real-time data collected by the IoT AQI kit undergoes data analytics. These calculations ensure that air quality is in line with US EPA Air Quality and industry safety standards.
The crunched data can then be displayed on a dashboard where it can be compared to the Clean Air Act, EPA’s National Ambient Air Quality Standards (NAAQS) and sustainable building standards. This dashboard and data can then be shared publicly or kept for private internal use.
The AQI kit is pre-configured with sensors that assess the presence of various pollutants, particles, greenhouse gasses and other air quality factors. Some of these factors include:
- Carbon dioxide
- Methane
- Carbon monoxide
- Nitrogen dioxide
- Ground-level ozone
- Sulfur dioxide
- Particle matter
- Temperature
- Humidity
- Air pressure
- Luminosity
The RightSensor air quality hardware.
“We are pleased to introduce this new expansion of our SensorInsight IIoT [Industrial IoT} platform addressing the pressing need for efficient, real-time environmental air quality and control reporting,” said Joey Bernal, president of SensorInsight.
The SensorInsight AQI kit is example of how IoT-connected devices can improve data collection for engineering purposes.
Traditionally, air quality research equipment can be bulky and complicated. If each system collects data desperately, then engineers might have a significant challenge matching the data’s time stamps.
By implementing all of these tools into one system and collecting the data over the IoT, engineers should be able to ensure the data is collated properly. This can then be used to improve the air quality in a factor, city, school, hospital and labs.
What engineering IoT applications are you working on? Let us know in the comments below.
