Project Details

The Challenge | Spot That Fire V2.0

Your challenge is to create an application that leverages NASA's near-real-time and archival wildfire datasets along with other tools to support firefighting and fire mitigation efforts. This challenge builds on last year’s challenge of the same name by calling for innovative ideas and apps that focus on how to engage and enable citizens to assist with the entire firefighting and fire mitigation process.

ULAK

Autonomous forest fire fighting and spread prevention system

ULAK

PURPOSE OF OUR PROJECT

  • Increased forest fires in recent years are causing serious damage to trees, vegetation and many living things in the forest.The methods used to prevent forest fires are no longer sufficient.
  • Our aim with ''ULAK'' project is to detect forest fires before they grow, and to intervene early and quickly.

PROJECT ULAK

The air and land robots called ULAK, which we developed with our team, are the robot fleet that can be used when the interventions during fire are insufficient.

In these robots:

  • Fire fighting with ultrasonic sound waves,
  • Walking through the forest with remote control via auto and wifi,
  • Extinguishing the detected places by determining the location with GPS,
  • Generating energy with solar panels,
  • Ability to pass through rough terrain by means of pallets
  • Features such as synchronized movement and communication with other ULAK

OPERATİON

  • Autonomus vehicles traveling on the land detect fire
  • The location of the detected fire is sent to the computer.
  • The surrounding vehicles are called for fire support.
  • A drone with a human controlled spot is sent to the fire.
  • The spotter drone determines the size of the fire.
  • If the detected fire is large and the weather conditions are favorable, the support drones are dispatched to the fire position.
  • If the weather conditions are not suitable, land vehicles will try to prevent the spread of fire for support (helicopter reinforcement).