Title:

CO2 Sensor Data Collection Software

The Covid-19 pandemic has taken the world by surprise. If one thing has become clear by the last year it is how ill equipped our indoor spaces are for ensuring public health. The sponsor of this project, Todd Gross, was researching how ventilation in different indoor environments affect the dispersion of Covid-19 droplets. The aim of this project was to create a piece of software that would help collect and store this data. The original setup used to run his tests involved multiple USB connected CO2 sensors placed throughout the room, a masked fake head with a tube connected to a CO2 tank that evenly releases CO2 from behind the mask, and a host system running the application, GasLab. Gross found the stock GasLab software to be difficult to use and considered it an impediment to his work. The software was plagued with timing issues due to a bloated graphics package. It was also inconvenient to connect 10+ sensors via usb. The software created for this project for this project was able to eliminate the timing issues while providing a wireless setup. There is a simple intuitive graphical interface which allows the user to see data in realtime. Data is also able to be exported to a csv file for further analysis. The hardware design for this project evolves one Arduino based WiFi access point and several Wifi sensor modules. These modules are constantly taking readings from their K-30 CO2 sensors and using ESP-8266 WiFi modules to send the reading to the access point. This design greatly reduces the set up time between experiments. We believe our software is not only comparable to the original GasLab software, but surpasses it in many ways. The project was very successful.

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