Expand your current network’s capabilities by applying TELLUS CoreDI to your existing network. TELLUS integrates regulatory instruments and other sensors in your region and integrates the raw measurements using advanced modeling that relies on spatial statistics, and dynamic calibration factors for each location in your network.
Each sensor’s calibration factor is traceable back to government measurements, delivering the highest level of accuracy possible for the price.
It’s not about the NODES themselves, but the space between
The AirView Map and Dashboard are your gateways to understanding air quality micro-climates and identifying pollution contributors through visualizations and alerts, keeping your community informed.
With AirView you can view and download raw and modeled air quality data to support data-driven decisions.
Air pollution concentration visualized
Real-time air pollution metrics
All the power you need
in one small device
Discrete, ultra-low power, and lightweight air pollution monitor capable of monitoring indoor and outdoor pollutants to provide insights helping communities make data-driven decisions to reduce exposure to particulate matter, emissions, and more.
Measurements are transmitted to the TELLUS cloud for analysis and stored on the device as a backup.
- Easy to install & connect
- Compatibility with third-party devices
- 1-year onboard backup memory
- Low cost of ownership
- Reliable connectivity
AirView© patented technology allows TELLUS to produce up-to-date and verifiable calibrations unique to each location that are directly traceable back to reference measurement instruments.
Whether you are a community organization or municipality interested in monitoring pollution and pollution contributors, TELLUS offers the most cost effective and accurate air quality monitoring visualizations without the burden of interpreting often-conflicting measurements that can be confusing to community members.
Government agencies produce maps based on very limited high-accuracy measurements that fail to capture local dynamics while low-cost alternative sensor networks typically provide inaccurate air quality measurements that are difficult to make sense of.
How does it work?
AirU air quality monitors pull in ambient air using a low-powered fan. The air flows along a series of pathways into a chamber before the air is exhausted back into the atmosphere. Along the way, various sensors take samples of the passing air and these measurements are both uploaded to the TELLUS Cloud as well as written to its onboard SD card as a backup.
The data can be accessed remotely through your personal dashboard for further analysis and insights.
Data Integration Process
Measurements are collected from multiple organizations and 3rd party sources, such as local state agencies and the EPA. TELLUS provides a suite of data correction and machine-learning-based modeling techniques that are applied to non-regulatory measurements to provide the most accurate data available. Incoming measurements are first screened and flagged for outliers as they are logged in the TELLUS database.
Then, data is periodically scanned retroactively using sophisticated spatiotemporal filtering to find and flag potentially drifted measurements.
Finally, spatiotemporal models are provided for every study region making it possible for calibrated air quality estimates at any location and time.
AirView Powered by TELLUS CoreDI
TELLUS CoreDI is the culmination of over 15 combined years of rigorous multidisciplinary research, born out of the University of Utah. Focused on high spatial resolution air quality monitoring that is both economical and reliable. Designed to be integrated by local organizations and municipalities with a high degree of trust in the data.
A highly entwined, multi-tier hardware-software ecosystem that ensures the most accurate data collection and representation.
A suite of statistical tools developed in-house and refined over the last five years using trillions of data points spanning multiple regions across the globe to screen for outliers and flag erroneous measurements in real time.
Integration of 3rd party ground-truth data sources to continuously apply [update] in situ field calibrations to the network to correct for ever-changing environmental conditions and ensure the most accurate and trustworthy data.
Machine-learning-based spatial and temporal interpolation functions to reliably provide pollution information between data sources to provide pollution measurements anywhere in the network region.
● Statistically modeled regions (TELLUS CoreDI)
● Real-time, easy to digest and interpret
● Localized pollution notifications
● Enhance monitoring capabilities and data accuracy of existing sensor network
● Pre-deployment laboratory calibration
● EPA/DAQ co-location and seasonal correction factors (TELLUS CoreDI)
● Rigorous outlier/cross-validation screening (TELLUS CoreDI)
● Leverage measurements from EPA/DAQ and third parties (if API is available other sources can be integrated)
● Data fusion algorithms (TELLUS CoreDI) that are based on statistics related to time, distance, and elevation
● Real-time metrics
● Sensor network health
● Access to raw, flagged, and modeled data