Research Area: Computational Sciences and Engineering
SNIFFER is an acronym that stands for SensorNet for Fire and First Responders. The main goal of this project is to provide fire and emergency responders with the data required to make key decisions during fire situations, rescue, and hazard control. The SNIFFER box is a fully operational device that has in-cab display that is user-friendly and easy to learn. It houses the following components: computer hardware in the form of PC-104’s that are the “brain” of the box, a chemical detector that determines whether there are hazardous chemicals near a fire, a 900 MHz wireless communication transmitter, both audible and visual alarms to alert the user, a power supply for the complete system, and an LED monitor that displays the status of the system. The information that is collected will be shared with outside response and coordination entities such as on-scene incident commanders and any metropolitan/regional emergency operations command centers. My duties are both to update the PC-104’s housed in the box in order to make them fully functional for further testing and to characterize the power supplies as far as battery lifetime, recharge time, and sustainability in a rugged environment.
Computational Sciences & Engineering Division
Oak Ridge National Laboratory