Sensors for Intelligent Networks
Team Sensors for Intelligent Networks is building a network of distributed sensors, designed to gather data for use in analysis of HVAC systems via data analytics by external servers. In particular, we will be taking data in rooms with consistently high occupancy. Our problem is to find a way to provide meaningful data to HVAC managers and researchers. To provide this data, a sensor platform will wirelessly transmit information back to a centralized hub, which will then communicate directly with a server that processes and presents the data to the user. The first metric of focus will be relative CO2 levels as these provide a good baseline for occupancy readings. This will then be extended to humidity, temperature, and air pressure. These values hold serious significance in running ventilation systems as they can provide information regarding mold growth, relative temperature, and airflow. Through measurement of air quality, researchers, HVAC technicians, and building managers can work together more effectively to improve control of the Engineering Center's HVAC Systems, in order to enhance the health and safety of E-Center inhabitants.