FiRST - WEARABLE TECHNOLOGY FOR FIREFIGHTERS
Providing advanced warning of sudden temperature increases
By analysing the changes in ambient temperature and comparing it to data from previous fires, FiRST is able to provide between 15 and 30 seconds warning of sudden temperature increases.
How it works
Through its advanced machine-learning algorithms, FiRST has been ‘taught’ to predict increases in temperature from data derived from live firefighting in the UK and US, including residential fire experiments undertaken by the US National Institute of Science and Technology.
The ambient temperature surrounding the firefighter is measured every three seconds using a thermocouple at shoulder level. By looking at the last ten measurements, the unit can estimate what the next ten measurements are likely to be. It then uses a mathematical algorithm to determine the likelihood of the temperature exceeding the two pre-defined alarm states, which have been selected based upon feedback from real firefighters during testing.
In addition to providing real-time decision support to the firefighter, the data is also logged on the device, allowing post-event analysis and further refinement of the FiRST algorithm.
Future planned enhancements include adding the ability to transmit measured ambient and predicted temperatures back to the incident command post via low-bandwidth RF telemetry or via Bluetooth integration into the firefighters existing equipment.