Titan Fire Intervention & Relief Efforts

Rafael Galvan, Martin Ramirez, Fareed Alhasan, Keiri Priego, Professor Sagil James, CalState University of Fullerton, 800 N State College Blvd, Fullerton, CA, 92831

Wildfires are risks that can severely affect all areas of the world in many ways. In the United States, they have become more frequent and their sizes have increased with their effects ranging from financial, human, and ecological losses. This increase has been a result of a combination of factors including but not limited to changes in climate, invasive species, and consequences of past fire management. The Titan Fire Intervention & Relief Efforts (F.I.R.E.) aims to mitigate damages and losses by taking preventative action against wildfires. Our project incorporates cellular automata algorithms along with a technologically advanced drone that allows for innovative solutions to an ever present problem. The model of cellular automata has been progressively used in predicting the direction and spread of wildfires with data being recorded and input into an adaptive algorithm. The application of this model will be made possible by the technology behind the drone. The thermal and optical cameras will assist in image processing to determine what vegetation is humid, can be used as a source of fuel for the fire, and what has already been burnt. A LIDAR sensor will be used to map the terrain. With our cellular automata model, potential progression of a wildfire in the area can be simulated. The data retrieved and analyzed from the algorithm will be configured to be used with multiple pre-existing Graphic User Interface (GUI) from fire departments. This allows the use of preventive measures such as firebreaks and effectively allocating resources such as firefighters and equipment. The proposed solution can be adapted to other types of terrain and vegetation in order to maximize its usefulness for a wide spectrum of wildfire issues.

Additional Abstract Information

Presenters: Rafael Galvan, Fareed Alhasan , Martin Ramirez , Ulises Baza , Keiri Priego

Institution: California State University - Fullerton

Type: Poster

Subject: Mechanical & Industrial Engineering

Status: Approved

Time and Location

Session: Poster 8
Date/Time: Tue 5:00pm-6:00pm
Session Number: 5606