Senior Design Projects

ECS193 A/B Winter & Spring 2020

Sensing Localized Air Quality

Email emily.schlickman@gmail.com
Name Emily Schlickman
Affiliation Department of Human Ecology, UC Davis

Project's details

Project title Sensing Localized Air Quality
Background This is a pilot project to develop low-cost DIY monitoring devices that could be affixed to bikes and used to collect data, both instantaneous and batched, on localized air quality. The primary drivers for the project include: the high cost of traditional monitoring systems, the increased risk of poor air quality, the spatial gaps in current air quality assessments, and the often invisible nature of environmental data. The project aims to democratize air quality data, empower members of the public to build their own devices, raise awareness about the effects of climate change on air quality, and to speculate about how this data might inform future design and planning work.
Description This is a pilot project to develop low-cost DIY monitoring devices that could be affixed to bikes and used to collect data, both instantaneous and batched, on localized air quality. The primary drivers for the project include: the high cost of traditional monitoring systems, the increased risk of poor air quality, the spatial gaps in current air quality assessments, and the often invisible nature of environmental data. The project aims to democratize air quality data, empower members of the public to build their own devices, raise awareness about the effects of climate change on air quality, and to speculate about how this data might inform future design and planning work.
Deliverable The proposed testing ground for this project will be the UC Davis campus. Once prototypes are built, air quality data would be collected at the California Air Resources Board monitoring station in Davis to verify that the sensors are in range. Once validated, the team would build mounting structures to affix the monitors to bikes, focusing on stability and anti-theft measures. The sensors would then be distributed to a range of students from across campus, and the localized air quality data collection process would begin. Those participating in the mapping effort would periodically transfer their data to the team by swapping SD cards.
Skill set desirable 1) Experience with or enthusiasm to experiment with the Raspberry Pi platform and sensors
2) Experience with developing web-based visualizations
Phone number 4157268385
Client time availability 30-60 min weekly or more
IP requirement Open source project
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