Project
| # | Title | Team Members | TA | Documents | Sponsor |
|---|---|---|---|---|---|
| 68 | Automated Sensor-Based Filtration System |
Karthik Talluri Omar Koueider Prithvi Saravanan |
Selva Subramaniam | design_document2.pdf final_paper1.pdf photo1.png photo2.png presentation1.pdf proposal2.pdf video |
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| # Automated Sensor-Based Filtration System Team Members: - Prithvi Saravanan (prithvi3) - Omar Koueider (oyk2) - Karthik Talluri (talluri4) # Problem As our environment continues to change with global warming and human development, the safety associated with breathing normally is being threatened. In metropolitan areas around the world, there is an increase in smog and toxic output, leading to increased respiratory problems. Currently, no building filtration systems change or adapt according to the outdoor air quality index (AQI), a measurement that we can use to determine the safety of breathing air in the surrounding environment. # Solution Our proposed solution is a filtration system that adapts to changes in outdoor air quality, temperature, and air pressure. We plan to implement this with an electrochemical sensor system that constantly monitors these factors in order to keep the building AQI at a constant level. In order to keep the indoor air quality constant, we must compare data from the outdoor AQI monitor system with the indoor one. Two separate electron chemical sensor systems will monitor outdoor and indoor particles. We also need a microcontroller to take the analog/digital data from these sensors in order to determine what particles to filter out. The adaptation functionality of opening or closing the air ducts in the building whenever the indoor quality varies will be implemented with a software algorithm along with the microcontroller. # Solution Components ## Subsystem 1 : Data acquisition We will gather lots of data both inside and outside in order to determine the air quality but also the reasons behind the quality so that in the case of a low AQI reading, we would be able to point towards what seems to be dampening the quality. The information from these sensors will then impact how we choose to filter out the air coming in. We will use the following sensors in our PCB: SGP40: – A sensor that processes a raw signal and determines AQI for you on a scale from 0 to 500. CCS811: – Air quality sensor but instead of AQI it provides TVOC and CO2 data. PM2.5 PMSA003I: Sensor that collects the concentration of particles smaller than 2.5 microns in width. BME680: Sensor to collect temperature, humidity, and air pressure data. Our goal is to have 2 of each sensor (one for the inside and one for outside). 5V is necessary to power up all the sensors. ## Subsystem 2: Microcontroller We will use an ESP32 to hook up all our sensors to and to process the data collected. The microcontroller will then be responsible for communicating with the air ducts (opening and closing of the ducts) and the filtration system (changing direction of air coming in for better filtration) to ensure constant AQI inside. 3.3V is required to power up the ESP32. ## Subsystem 3: Dynamic Filtration Subsystem In order to change the filtration rate, we use the inertial impaction mechanism. This type of filtration technique creates a rapid change of air to separate particles from the air stream using the inertia principle. Based on the changes in AQI detected in our sensor subsystem, we can automate this process and program an algorithm that dynamically adjusts the velocity of the air blasted in the opposite direction of the incoming stream to be filtered. This ensures the functionality of constant indoor air quality while factoring in the data from particulates outside. # Criterion For Success Each sensor can accurately collect data both inside and outside of a room. Sensors can monitor the air constantly and display small and large changes in the AQI. There should be an established way for the PCB to communicate with the physical filtration system. The filtration system should change the airflow according to the data received and transmitted by the sensors. |
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