期刊
SENSORS
卷 17, 期 11, 页码 -出版社
MDPI
DOI: 10.3390/s17112478
关键词
air quality; low-cost sensors; data standards; data management; community-based organizations
资金
- National Science Foundation [CNS-1446912, CBET-1240584]
- U.S. Environmental Protection Agency
- Direct For Computer & Info Scie & Enginr
- Division Of Computer and Network Systems [1446899, 1446912] Funding Source: National Science Foundation
- Div Of Chem, Bioeng, Env, & Transp Sys
- Directorate For Engineering [1240584] Funding Source: National Science Foundation
In May 2017, a two-day workshop was held in Los Angeles (California, U.S.A.) to gather practitioners who work with low-cost sensors used to make air quality measurements. The community of practice included individuals from academia, industry, non-profit groups, community-based organizations, and regulatory agencies. The group gathered to share knowledge developed from a variety of pilot projects in hopes of advancing the collective knowledge about how best to use low-cost air quality sensors. Panel discussion topics included: (1) best practices for deployment and calibration of low-cost sensor systems, (2) data standardization efforts and database design, (3) advances in sensor calibration, data management, and data analysis and visualization, and (4) lessons learned from research/community partnerships to encourage purposeful use of sensors and create change/action. Panel discussions summarized knowledge advances and project successes while also highlighting the questions, unresolved issues, and technological limitations that still remain within the low-cost air quality sensor arena.
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