Fire Safety for Smart Buildings – Big Data Analytics for Fire and Smoke Prediction
Dr. William Liou, PI
The nearly half million structure fires in the U.S. each year cause 17,000 injuries and deaths, and $10 billion in property losses. Dr. William Liou built a predictive tool to simulate incidents of fire and smoke events and predict the location and likely growth of fire and smoke in smart buildings. The project uses computational fluid dynamics software and WMU’s Floyd Hall in the model. This second phase of research now being funded involves developing two datasets for predicting fire spread in smart buildings and then using those datasets to design an artificial intelligence (AI)-based algorithm for big data analytics for fire safety in smart buildings.