PG&E Testing Artificial Intelligence Which Could Expand Wildfire Detection Capabilities to Growing Network of High-Definition Cameras
Two high definition smoke-spotting cameras on top of Mount Tamalpais are included in PG&E’s artificial intelligence pilot program (pictured on top two different poles). [Photo from PG&E]
During extremely dry, hot, and windy weather, being able to differentiate wildfire smoke from fog and other false indicators is invaluable to analysts in Pacific Gas and Electric Company’s (PG&E) Wildfire Safety Operations Center and fire agencies. That’s why PG&E is testing artificial intelligence (AI) and machine-learning capabilities in the growing network of high-definition cameras across Northern and Central California to see how it can enhance fire-watch and response capabilities.
This year, PG&E, in collaboration with ALERTWildfire, has installed 138 new HD cameras across High Fire-Threat Districts, in accordance with its 2021 Wildfire Mitigation Plan. Of those 138 cameras, 46 of them are included in the new AI testing program in partnership with Alchera and ALERTWildfire. A similar pilot was conducted with Pano through participation in EPRI’s 2021 Incubatenergy Labs Challenge. PG&E began installing HD cameras in 2018, as part of its Community Wildfire Safety Program. As of October 31, 487 cameras are now in operation, 45 of them are in Lake, Mendocino and Humboldt counties.
“Even with the two significant rainstorms in October and November, we are still in a historic drought and California, along with other western states, continue to experience an increase in wildfire risk and a longer wildfire season. We are using every new tool and technology at our disposal to improve situational awareness and intelligence to help mitigate and prevent wildfires, including this new AI capability,” said Sumeet Singh, PG&E Chief Risk Officer. “Every bit of data and intelligence that comes to us could potentially save a life.”
The pilot program is already demonstrating the AI’s potential to reduce fire size expansion. On August 4, 2021, PG&E’s Howell Mountain 1 camera located in Placer County and equipped with Alchera’s AI software, spotted smoke one minute before the actual fire dispatch and several minutes sooner than the manual movement of the camera. That smoke ended up becoming the River Fire. This is one example of many noted during both pilots confirming the value of early fire detection technology.
The expert staff in the company’s Wildfire Safety Operations Center (WSOC), outside agencies and first responders use the fire-watch cameras to monitor, detect, assess for threats, and respond to wildfires. The AI test programs includes PG&E determining a way to get the new data to the right people quickly and effectively. The quicker the data is received, the more rapidly first responders and PG&E can confirm fires and move the right resources to the right place.
“The software analyzes the video feed and if it thinks it sees smoke, we receive an alert via email and text, telling us it just detected smoke. Our analysts then pinpoint where the smoke is coming from and determine if it’s a car fire, dumpster fire, or even a vegetation fire. Based on the location, we can assess for threat to the public or PG&E facilities,” said Eric Sutphin, Supervisor at PG&E’s WSOC who’s in charge of the camera installations. “The AI filters out a significant number of false positives, for example, ruling out dust, fog or haze.”
Sutphin explained that the recent installation of the AI test software with its machine-learning capabilities means the WSOC team is getting smarter over time with more experience and more data gathered.
“We know the cameras are doing well at spotting wisps of smoke from long distances. We plan to assess our initial implementation, continue to gather the data, and develop a plan for using this leading-edge technology on a more expanded basis,” he said.
The cameras provide 360-degree views with pan, tilt and zoom capabilities and can be viewed by anyone through the ALERTWildfire Network at www.alertwildfire.org. By the end of 2022, the company plans to have approximately 600 cameras installed, providing an ability to see in real-time more than 90% of the high fire-risk areas it serves.
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Glad there’s some monitoring going on since the counties haven’t staffed the existing fire lookouts for probably a decade or more.
State and feds not counties stopped funding and maintaining fire lookouts in favor of spotter planes.
Why not use heat image satellite ? They know when the lightning storms are happening. Seems like they could be better prepared and knock these fires out when they are small, it makes financial sense.
or the obvious solution….burry the power lines. Pay once cry once, they spend millions on tree guys to come to your property un announced year after year and cut trees down without your permission, how much did these cameras cost to set up, how much to fly all the power lines with helicopters rigged up with lydar, how much have they paid in lawsuits due to fires they caused?If our state really cared about preventing the fires they would mandate that all transmission lines be underground.
It would seem like a no brainner except for the places where wild fires get out of control are places where the terrain is steep, the land unstable and the user’s few. The process of burying lines on the road where I live would be hard- there are steep two lane roads with no shoulders and 200 foot cliffs on both sides. Occasional washouts where even the roads are not fixed for weeks. If trees fall would the roots pull up the lines? And can you imagine the outcomes if the power company wanted to bury lines along the Avenue of the Giants? Caltrans has not manage to get their roadwork plans going for a decade even with trying to avoid root damage.
I have tried to find information about burying lines in places like the Alps but so far have not had any success.
Okay, I’ll buy that.
They are more then capable of putting lines underground anywhere they have lines above ground . Fixing one section of buried line is much less then fixing 100,000 acres of burned lines. There’s many city’s and rural communities that are already this way
Lighting strikes can cause scores of small fires.
and not always easy to get access to them right away..Ai the new Matrix, what do they feed it?
Soilent green
– Ai goes online.
– Ai reads all data: terrain, vegetation, time of year, weather conditions, weather forecast, turkey population, time of day, human power-consumption, other variables.
– Ai offers two suggestions (if it doesn’t take over the grid itself and implement on its own) based on its findings:
— 1. PSPS, shut down the power
— 2. Put the lines UNDERGROUND!!!!!!!!
Can a camera short circuit and cause a fire ? Eventually lines will be put underground but not before zillions of tax dollars are spent with Rube Goldberg gizmos.
I hope artificial intelligence works for them. The regular kind sure hasn’t.
More surveillance cameras?
If they are anywhere near or aimed at where people live or congregate, it sounds like an opportunity for target practice.
I just think it always makes sense that these motherfuckers keep increasing their rates.