The Problem
Electrical tracking on transmission line insulators is a high risk defect that causes fires on transmission lines. Currently there is no way to monitor this in real time, requiring Utilities to send crews out to do detailed inspections every 7-8 years. With no real-time situational awareness, Utilities can be living with high wildfire risk on their lines for years, unnoticed.
The Solution
Predicting wildfire risk with frequency and artificial intelligence on the most remote transmission lines.
CRWN.ai has developed technology aimed at enhancing wildfire prediction and prevention on transmission lines. The core technology, CRWN Condition Recognition Wireless Network, uses IoT devices, frequency and machine learning to identify high risk defects on transmission lines.
The NorthX funded project, CRWN.ai – Wildfire Prediction, expands on CRWN’s current capabilities of providing situational awareness for remote transmission lines, and adds a prediction element to it. This allows utilities to move from a reactive maintenance to a “just in time” maintenance approach, reducing their risk of starting wildfires.
