Developing a robust and scalable calibration approach to low-cost AQ sensing

Award Information
Agency: Department of Commerce
Branch: National Oceanic and Atmospheric Administration
Contract: 1305M219CNRMW0017
Agency Tracking Number: 18-02-099
Amount: $400,000.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: 8.1.3
Solicitation Number: NOAA2018-2
Solicitation Year: 2019
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-06-27
Award End Date (Contract End Date): 2022-06-23
Small Business Information
45 Manning Road, Billerica, MA, 01821
DUNS: 030817290
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Eben Cross
 (978) 932-0472
Business Contact
 Charles  Kolb
Phone: (978) 663-9500
Research Institution
Poor air quality represents a major public health risk, contributing to an estimated one of every eight deaths worldwide. Low-cost air quality sensors have developed rapidly over the last few years and offer the opportunity to make air quality monitoring widespread at an affordable price. However, low-cost sensors are currently unable to deliver accurate, reliable data due to a lack of understanding of what parameters impact performance and a lack of adequate calibration methods. This project is developing a robust, scalable calibration technique, involving a laboratory calibration chamber for rapid exposure of sensors to the full range of atmospheric and pollutant conditions and a sophisticated, adaptive machine learning algorithm. The end result of the Phase II project will be a calibration method that enables rapid calibration of tens of low-cost sensors at a time, and sufficient information about the longer-term behavior of the sensors to scale the calibration method to hundreds of sensors for use in large, distributed networks. In addition, a new database architecture will ingest, analyze and display the air quality data for a variety of end users, including atmospheric scientists, public health researchers and government agencies.

* Information listed above is at the time of submission. *

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