Presentation Title

Smart Drone Technology for Wildfire Prediction and Prevention

Faculty Mentor

Sagil James

Start Date

23-11-2019 10:45 AM

End Date

23-11-2019 11:30 AM

Location

146

Session

poster 4

Type of Presentation

Poster

Subject Area

engineering_computer_science

Abstract

During the 2018 wildfire season alone, the California Department of Forestry & Fire Protection estimates that over 4000 wildfires have occurred, damaging approximately 626,000 acres of California’s lands. The effects of more massive fires cause a permanent scar on the environment and cost a hefty loss in terms of property damage, often in the millions, and occasionally in the billions of dollars. Although this is a high-interest area for research, existing technologies in the market are limited by their concentration on fighting on-going fires. The goal of this project is to focus on the prevention of wildfires through the use of a smart drone equipped with a thermal forecasting system and machine intelligence capable of predicting the conditions of the surveyed area and its vulnerability to fire, thus allowing for measures to be taken to eliminate the threat of a wildfire before its ignition. The proposed device observes the instantaneous temperatures of the scanned area using the thermal forecasting system, then uses the intelligent learning algorithm to determine whether the area would be primed for ignition during a period of higher temperatures later in the day. The algorithm takes into account several variables to evaluate the flammable nature of the area including humidity, peak temperature of the day, current temperature of the area, heat due to convection and radiation, and the materials that are present in the area. If the system deems the area ignitable, the drone could be triggered to sprinkle a coolant in the vicinity, as well as alert the nearby fire protection authorities of the position. The outcomes of this project are expected to make significant impact on the efforts to curb wildfires in vulnerable states such as California. The proposed technology can also be utilized in other fire-prone sectors such as powerplants, construction sites, factories, and more.

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Nov 23rd, 10:45 AM Nov 23rd, 11:30 AM

Smart Drone Technology for Wildfire Prediction and Prevention

146

During the 2018 wildfire season alone, the California Department of Forestry & Fire Protection estimates that over 4000 wildfires have occurred, damaging approximately 626,000 acres of California’s lands. The effects of more massive fires cause a permanent scar on the environment and cost a hefty loss in terms of property damage, often in the millions, and occasionally in the billions of dollars. Although this is a high-interest area for research, existing technologies in the market are limited by their concentration on fighting on-going fires. The goal of this project is to focus on the prevention of wildfires through the use of a smart drone equipped with a thermal forecasting system and machine intelligence capable of predicting the conditions of the surveyed area and its vulnerability to fire, thus allowing for measures to be taken to eliminate the threat of a wildfire before its ignition. The proposed device observes the instantaneous temperatures of the scanned area using the thermal forecasting system, then uses the intelligent learning algorithm to determine whether the area would be primed for ignition during a period of higher temperatures later in the day. The algorithm takes into account several variables to evaluate the flammable nature of the area including humidity, peak temperature of the day, current temperature of the area, heat due to convection and radiation, and the materials that are present in the area. If the system deems the area ignitable, the drone could be triggered to sprinkle a coolant in the vicinity, as well as alert the nearby fire protection authorities of the position. The outcomes of this project are expected to make significant impact on the efforts to curb wildfires in vulnerable states such as California. The proposed technology can also be utilized in other fire-prone sectors such as powerplants, construction sites, factories, and more.