Close inspection of accidental fires in large, open-plan compartments reveals that they do
not burn simultaneously throughout the whole enclosure. Instead, these fires tend to move …

Forecasting building fire development and critical fire events in real-time is of great
significance for firefighting and rescue operations. This work proposes an artificial …

A real-time evaluation of fire severity inside a building could facilitate decision-making in
firefighting and rescue operations. This work explores the real-time prediction of transient …

Fire is one of the most common hazards in the process industry. Until today, most fire alarms
have had very limited functionality. Normally, only a simple alarm is triggered without any …

A new methodology to effectively forecast fire dynamics based on assimilation of sensor
observations is presented and demonstrated. An inverse modelling approach with a two …

In industrial scenarios, cable fires have always been the most common threat, and traditional
fire detection systems often rely on a large number of sensors, and the detection range is …

A technology able to forecast fire dynamics in buildings would lead to a paradigm shift in the
response to emergencies, providing the fire services with essential information about the …

Being able to model and forecast the fire can help emergency services to work more
efficiently and save lives. However, the calculations with current fire modeling techniques …

Effective response to fire requires accurate and timely information of its evolution. In order to
accomplish this valuable fire analysis step, this work fuses low-cost video fire detection …

Data assimilation is widely used in weather forecasting and other complex forecasting
problems such as hydrology, meteorology, and fire dynamics. Among various data …