We introduce an open-source software Aamks for fire risk assessment. This article focuses on a component of Aamks -an evacuation simulator named a-evac. A-evac models evacuation of humans in the fire environment produced by CFAST fire simulator. In the article we discuss the probabilistic evacuation approach, automatic planning of exit routes, the interactions amongst the moving evacuees and the impact of smoke on the humans. The results consist of risk values based on FED, F-N curves and evacuation animations.
Abstract. A rough method for estimating commanding efficiency of Fire&Rescue officers is presented in the article. The idea is to evaluate the officers in charge and their actions based on the information collected in the incident data reporting system. The criteria for the commanding evaluation is the distribution of durations of the actions conducted by consecutive commanders.
Abstract-We present an approach for evaluation of a heat release rate of compartment fires. The approach is based on the idea of matching the actual condition of the fire to the pregenerated CFD simulations. We use an IR image of imprint of the temperature on the ceiling as a similarity relationship between actual fire and the set of the simulations. We extract the invariants, features and similarity measures of the fires using machine learning approach.
In this article we present the foundations of a decision support system for blockage management in Fire Service. Blockage refers to the situation when all fire units are out and a new incident occurs. The approach is based on two phases: off-line data preparation and online blockage estimation. The off-line phase consists of methods from data mining and natural language processing and results in semantically coherent information granules. The online phase is about building the probabilistic models that estimate the block-age probability based on these granules. Finally, the selected classifier judges whether a blockage can occur and whether the resources from neighbour fire stations should be asked for assistance.
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