Illustration of the drone swarm system
that uses multi-view imaging for 3D smoke plume characterization. Credit: arXiv (2025). DOI: 10.48550/arxiv.2505.06638
Plumes
of smoke drifted up from a fire steadily taking over a 30-acre prairie at Cedar
Creek Ecosystem Science Reserve, north of the Twin Cities. Amid the haze, five
black drones zipped around.
More than 150 feet below the flying
robots, research student Nikil Krishnakumar raised the controller in the air.
The work has been published on the arXiv preprint
server.
"It's all autonomous now," he
said. "I'm not doing anything."
The aerial robotic team's mission:
examine the smoke from the prescribed burn and send the data to a computer on the ground.
The computer then analyzes the smoke data to understand the fire's flow
patterns, Krishnakumar said.
The University of Minnesota project is
the latest research into using artificial intelligence to detect and track
wildfires. The work has become more urgent as climate change is expected to
make wildfires, like those that devastated Manitoba this summer, larger and
more frequent.
NOAA's Next-Generation Fire System
consists of two satellites 22,000 miles above the equator that detect new
sources of heat and report them to local National Weather Service stations and
its online dashboard. Earlier this year, the satellites were credited with
spotting 19 fires in Oklahoma and preventing $850 million in structure and
property damage, according to the agency.
In Minnesota, Xcel has installed
tower-mounted, AI-equipped high-definition cameras near power lines in Mankato
and Clear Lake. Thirty-six more are planned. When a fire is detected, local
fire departments are notified.
Krishnakumar and other members of the
U's research team performed their 11th trial at the U's field station in East
Bethel on Friday, with notable improvements from their previous attempts.
The first-generation drones crashed
several times during previous field tests, Krishnakumar said. The team upgraded
sensors for better data collecting and autonomous steering, and improved the
drones' propulsion by making them bigger and fitting them with better
propellers.
"The big picture is one day these
drones can be used to understand where the wildfires go, how they behave and to
perform large-scale surveillance of wildfires," Krishnakumar said.
"The major challenge we're trying to understand is how far these smoke particles can be transported and the altitude at which
they can go."
Understanding the behavior of particles
like embers can help firefighters prevent wildfires from spreading, said Yue
Weng, another researcher on the team.
Though the project has a way to go
before it can be used for large-scale wildfires, the research represents a
significant step toward using fully autonomous drone systems for emergency response and scientific research missions, said Jiarong
Hong, professor at the University of Minnesota's Department of Mechanical
Engineering.
This year, 1,200 wildfires have been
recorded in Minnesota so far, according to the state Department of Natural
Resources. On a smaller scale, the technology could also be used to better
manage prescribed burns, Hong said. Between 2012 and 2021, prescribed burns
that went out of control caused 43 wildfires nationwide, according to the
Associated Press.
"To characterize and measure
particle transport in the real field is very challenging. Traditionally, people
do small-scale lab experiments and study this at a fundamental level,"
Hong said. "Such an experiment doesn't capture the complexity involved in
the real field environment."
Smoke changes direction with the wind.
Deploying multiple drones—with one at the center managing the four around
it—enables them to navigate in the air without human intervention, Hong said.
The 11-pound drones were custom-built by
the students to autonomously collect particle data. Future improvements to the
project include collecting more data and extending the battery life of the
drones. The drones are currently able to operate in the air for about 25
minutes, less in colder temperatures, Hong said.
"We have drones flying out at
different heights, so we can actually measure the particle composition at
different elevations at the same time," Hong said.
"Particles are in a very irregular shape and some of them are porous and have varying levels of density. But we have been able to characterize their morphology and shape for the very first time."
Source: Researchers launch smoke-sensing drones that one day could fight wildfires

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