Project
| # | Title | Team Members | TA | Documents | Sponsor |
|---|---|---|---|---|---|
| 12 | Particulate Matter Sensor Node RFA |
David Young Mahip Deora Zachary Plumley |
Josephine Melia | design_document1.pdf design_document2.pdf final_paper1.pdf photo1.jpg photo2.jpg presentation1.pdf proposal1.pdf |
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| Partners: David Young, Mahip Deora, Zach Plumley NetID: daviday2, mdeora2, plumley3 # Problem Particulate matter (PM) emissions, particularly particles which are smaller than 2.5 micrometers, have been linked to an array of health complications. The EPA collects data on PM emissions but their data is incomplete and is not enough to conclusively point to PM emission sources. If the EPA has better data collection, then they can regulate PM emission sources and improve public health. # Solution overview Our solution is to create a sensor array that is discrete and durable enough to be deployed near a potential PM emission source for an extended period of time. In addition, our sensor array should be cheap enough that the average high school science class or family could buy an array and use it to conduct a science experiment. The PM data will be uploaded to a web dashboard and viewed in a user-friendly UI. This dashboard will be the central source where users can view our data and download data into a .csv file. # Solution Components ## Sensor Subsystem Particulate matter sensor to directly measure PM 2.5 and PM 10 Wind direction sensor to measure where the wind and thus the PM are coming from Wind speed sensor to possibly determine how far away the PM is blowing from Humidity and temperature sensors to provide controls/explanations for variations in PM levels. These sensors are not strictly necessary but might improve data quality ## Processing Subsystem Internal microcontroller for processing the data from the sensors and doing any signal processing. Bluetooth, Zigbee, or ethernet to send data from microcontroller to external server (host laptop or a SQL database) ## Web UI Subsystem Present PM data through various data visualization mediums (heat maps, geographical map, etc,). This will be built using python, flask, and dash A web hosting service, such as 000webhost, can be used to host our database and website # Criterion for Success Our solution can accurately measure PM levels for an extended period of time and indicate the direction of the source. In addition, the data collected will be reported to an external server, where a web dashboard will present the data to users. While the EPA/other weather stations are already measuring air quality tracking, their data is incomplete. The EPA lacks granular data and there are large parts of the country where there is no PM sensing. If we succeed in making a small and inexpensive product, it can be widely deployed across the country to collect data and pinpoint sources of PM pollution. Once granular data available and sources of pollution are evident, the EPA can make regulations to improve air quality. |
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