P-Flash - A Machine Learning-based Model for Flashover Prediction using Recovered Temperature Data.

ABSTRACT: Research was conducted to examine the use of Support Vector Regression (SVR) to build a model to forecast the potential occurrence of flashover in a single-floor, multi-room compartment fire. Synthetic temperature data for heat detectors in different rooms were generated, 1000 simulation cases are considered, and a total of 8 million data points are utilized for model development. An operating temperature limitation is placed on heat detectors where they fail at a fixed exposure temperature of 150 °C and no longer provide data to more closely follow actual performance. The forecast model P-Flash (Prediction model for Flashover occurrence) is developed to use an array of heat detector temperature data, including in adjacent spaces, to recover temperature data from the room of fire origin an

SUBMITTER: Wang J 

PROVIDER: S-EPMC8383830 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature