Fire detection

News and Updates

New Fire-Simulating Tool Could Improve In-Flight Fire Safety

March 24, 2021

Some of the most dangerous fires are the ones you don’t see coming. That goes not only for fires in buildings but for those kilometers off the ground, aboard

NIST Conducts Full-Scale Experiments to Demonstrate Flammability Risk of Residential Upholstered Furniture (RUF) and Potential Mitigation Strategies

March 12, 2020

The NIST Flammability Reduction Group (FRG) is conducting a series of full-scale fire experiments in collaboration with the National Fire Research Laboratory

Highlights from the 29th Annual Conference on Recent Advances in Flame Retardancy of Polymeric Materials

May 24, 2018

Four members of the NIST Flammability Reduction group traveled to Stamford, Connecticut for the 29th Annual Conference on Recent Advances in Flame Retardancy of

Projects and Programs

Fire Risk Reduction in Communities Program

This program reduces community fire risk by 1) increasing the fire resilience of wildland-urban interface (WUI) communities and 2) enhancing the safety and

Fire Risk Reduction in Buildings Program

The research in this program (Fire Risk Reduction in Buildings, FRRiB) will enable reductions in the two single largest components of this U.S. structure fire

Fire Research Grants and Cooperative Agreements

Fire Research Grants and Cooperative Agreements support extramural work to reduce the total burden of fire on the U.S. economy, which is estimated as greater

Sensing and Imaging of concealed objects

Emergency response, law enforcement and military personnel must face threats and dangerous situations as part of their jobs. These threats can vary from knives

Publications

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

April 4, 2021

Author(s)

Jun Wang, Wai Cheong Tam, Youwei Jia, Richard Peacock, Paul Reneke, Eugene Yujun Fu, Thomas Cleary

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

Sensors and Machine Learning Models to Prevent Cooktop Ignition and Ignore Normal Cooking

March 18, 2021

Author(s)

Amy E. Mensch, Anthony Hamins, Wai Cheong Tam, John Lu, Kathryn Markell, Christina You, Matthew Kupferschmid

Cooking equipment is involved in nearly half of home fires in the United States, with cooktop fires the leading cause of deaths and injuries in cooking-related

Predicting Flashover Occurrence using Surrogate Temperature Data

February 9, 2021

Author(s)

Wai Cheong Tam, Eugene Yujun Fu, Richard Peacock, Paul Reneke, Jun Wang, Grace Ngai, Hong Va Leong, Thomas Cleary

Fire fighter fatalities and injuries in the U.S. remain too high and fire fighting too hazardous. Until now, fire fighters rely only on their experience to

Time Series Feature Extraction and Selection Tool for Fire Data

September 15, 2020

Author(s)

Jun Wang, Youwei Jia, Eugene Yujun Fu, Jiajia Li, Wai Cheong Tam

This paper aims to facilitate the use of machine learning to carry out supervised classification/regression tasks for time series data in fire research

Software

FDS and Smokeview

Fire Dynamics Simulator (FDS) is a computational fluid dynamics (CFD) model of fire-driven fluid flow. The software solves numerically a form of the Navier

Tools and Instruments

Fire Emulator/Detector Evaluator

The fire emulator/detector evaluator (FE/DE) is a computer-controlled flow tunnel used to re-create the environments surrounding detectors in the early stages