OUR TECHNOLOGY
Three Steps From Detection to Prevention
CRWN transforms electrical discharge into actionable intelligence — automatically identifying grid problems before they cause wildfires or outages.
1. Anomalies Detected by Microphone
2. Sent to Machine Learning Algorithms for Analysis
3. Defects Sent to Utilities in Real Time
1. Anomalies Detected by Microphone
CRWN Devices Listen Where Your Assets Are
Electrical problems make noise before they become visible failures. Corona discharge, arcing, and partial discharge all create distinct audio signatures that indicate asset degradation. Each CRWN device mounts directly on transmission structures and poles, continuously monitoring for these electrical discharge patterns across significant line sections. Unlike visual inspections or point sensors, our audio-based approach provides complete coverage of your infrastructure, 24/7, without human operators. Electrical problems make noise before they become visible failures. Corona discharge, arcing, and partial discharge all create distinct audio signatures that indicate asset degradation and potential wildfire ignition points.
Key Capabilities
Autonomous operation with solar power and battery backup
Rugged design withstands -40°C to +70°C temperatures
Off-grid deployment — works with both LTE and Sattelite
Not just system monitoring, monitoring at an asset level.
2. Sent to Machine Learning Algorithms for Analysis
Real Time Insight of the Grid to Your Operations Team
Real time data streaming with precise location data, defect type, and severity scoring.Critical findings include GPS coordinates accurate to the pole, allowing field crews to locate and repair fire-risk equipment before catastrophic failure and provide predictability to cap ex budgets. Real-time dashboards give grid operators complete visibility into system health across your entire service territory.
The system doesn't just detect noise — it identifies what kind of problem you're facing:
Corona discharge indicating insulation breakdown
Arcing from assets
Tracking Insulators
3. Defects Sent to Utilities in Real Time
AI-Powered Analysis in the Cloud
Acoustic data streams continuously to CRWN's machine learning platform, where sophisticated algorithms identify patterns that predict equipment failure and fire risk. Our models have been trained on millions of electrical discharge events to distinguish between normal grid operations and dangerous anomalies. The system prioritizes alerts based on severity—flagging imminent failures that pose wildfire threats separately from routine maintenance issues. This intelligent triage ensures your teams respond to the highest-risk situations first.
What you get:
Precise Localization
Pinpoint the specific asset experiencing defects
Risk Scoring
Algorithm-prioritized alerts based on failure likelihood and impact
Trend Visibility
Track degradation patterns over time to predict end-of-life
Prevent wildfires and outages with intelligent foresight — before disaster strikes
See CRWN's groundbreaking technology in real-time.