Fire Size and Response Time Predictions in Underground Coal Mines Using Neural Networks
- Organization:
- Society for Mining, Metallurgy & Exploration
- Pages:
- 12
- File Size:
- 1523 KB
- Publication Date:
- Mar 6, 2022
Abstract
The abstract discusses the importance of predicting fire response time (the time before conditions become untenable for firefighters) in underground coal mines. It introduces a data-driven approach using artificial neural networks (ANNs) to predict response time and fire size based on measurable parameters like CO concentration, mine geometry, air velocity, and time since fire detection. The approach was tested using simulations from fire models (FDS and FSSIM), showing promising results for real-time predictions during mine fires.
Citation
APA: (2022) Fire Size and Response Time Predictions in Underground Coal Mines Using Neural Networks
MLA: Fire Size and Response Time Predictions in Underground Coal Mines Using Neural Networks. Society for Mining, Metallurgy & Exploration, 2022.