Our IOT project is the creation of a system that captures the temperature, humidity and occupancy data from an arbitrary room and sends a signal to a third party recommending an optimal temperature, pressure and max capacity for the room in order to reduce COVID transmission in public spaces.
The problem being solved by our IOT project is that of the conflict of interest between the profits generated by max worker productivity and the safety of those very workers. By outlining the parameters under which it is safe to have a given amount of people in some area, and the ways in which those parameters (Namely temperature and humidity) can be changed in order to more safely accommodate the people in these areas, our IOT project allows people to better adhere to COVID guidelines and respond to sudden changes in environmental conditions.
Our project is useful in that it gives real time data on temperature, humidity and occupancy to the consumer so that any potential danger can be nipped in the bud before it is allowed to cascade into a larger issue. Additionally, the driving force behind consumer demand for our product would be in the form of money saved in lieu of either having under occupied facilities wherein productivity is curtailed in order to meet overly restrictive and crude safety protocols, or having over occupied and unsafe facilities putting the occupants at risk of infection and the consumer at risk of getting fined or shut down.
What makes our project useful is the utilization of IOT technology in the form of the particle argon in order to collect and transmit data quickly, over the internet. Further, the particle argon allows the extraction of our data to other instrumentation systems outside of the scope of our original design. A possible implementation would be the development of a feedback loop system which dynamically adjusts and optimizes the temperature and pressure in a given area according to the occupancy distribution of the area. Another idea would be a mechanical system which restricts entry to an area if the max capacity has already been reached.
In order to bring this project to life, we are using the communication and data analysis capabilities of the particle argon to accurately and quickly assess the safety of various occupied areas. We will be able to provide live graphs of these safety parameters, in addition to display of the signal output of the output parameter suggestions. Finally, we will demonstrate that our project can be implemented in a wide range of circumstances.