Objectives VR2

VitalResponder 2.0 (VR2) addresses the specification, development and deployment of an ICT platform for intelligent management of critical events of stress, fatigue and smoke intoxication in forest firefighting.

The project is developing knowledge-based tools to support fire-fighters (FF) at critical decision-making situations, helping with the an emergency response for forest firefighting at ground-based operations, integrating computational models of fire and smoke behavior with with live sensor data, to provide real-time simulation of local fire conditions and short-term forecasts, enabling the safe/efficient positioning of crews in the terrain.

A high impact is expected at different levels:

  • at the human level (FF): detection of critical conditions, namely stress and fatigue level, risk of heat stroke, risk of faint due to smoke intoxication, among other hazardous conditions;
  • at the environment level: detection of critical scenarios conditions namely through simulation and prediction of fire “burst” and/or dangerous spots (e.g. toxic CO levels, temperature profiles, terrain dryness conditions, previous known events behaviour in the area, etc.);
  • at the coordination level: decision support system to first response coordination teams to help the decisions process and better manage critical events.

VR2 is the natural evolution of two successful FCT funded projects: Vital Responder (CMU-PT/CPS/0046/2008) and FUMEXP (PTDC/AMB/66707/2006). The goal of Vital Responder (VR1) was to explore the synergies between innovative wearable technologies, scattered sensor networks, intelligent building technology and precise localization services to provide secure, reliable and effective first-response systems in critical emergency scenarios. FUMEXP main goal was to link the exposure of FFs to smoke with the resulting health effects through intensive field measurements of personal exposure and medical parameters of a group of FFs during fire experiments and wildfires.

To achieve the aforementioned goals, we build on an interdisciplinary team that includes experts in wearable technology for vital signs (@UPorto), biomedical signal processing (@IEETA/UAveiro), sensor networks connectivity (@IT/Porto), human exposure to air pollutants contained in the smoke and decision support computer models (CICECO/UAveiro).


Keywords

  • Forest fires
  • Human and environment monitoring
  • Sensor networks
  • Decision support system
  • Ad hoc networks

Timeframe

2013-07-01 to 2015-06-30.