How IoT Sensors Are Preventing Wildfires in the Power Grid

Wildfire season is getting worse, and power lines are often the spark. This episode zooms in on a specific case: Pacific Gas & Electric's deployment of high-resolution IoT sensors across 25,000 miles of transmission infrastructure in California. Lucas and Luna break down how these grid-mounted sensors—accelerometers, temperature probes, and humidity detectors—feed data into a machine-learning model that can predict line sag, vegetation contact, and conductor temperature in real time. They discuss the hardware cost (roughly $2,000 per sensor node), the data transmission challenge (edge computing vs. cloud), and why the utility industry is suddenly spending billions on sensor networks it ignored for decades. No vague climate talk; just the engineering and economics of stopping a fire before it starts. #IoT #WildfirePrevention #SmartGrid #PacificGasAndElectric #MachineLearning #EdgeComputing #CaliforniaWildfires #UtilityInfrastructure #SensorNetworks #PredictiveMaintenance #PowerLines #ClimateAdaptation #IndustrialIoT #Technology #Infrastructure #FexingoBusiness #BusinessPodcast #InternetOfThings Keep every episode free: buymeacoffee.com/fexingo