Utility Analytics Solution
< Go back to Utility Solutions page
The Utilities Risk Analytics Platform is foundational solution to manage risk across your Utilities business.
Energy companies across the United States have a growing responsibility to identify and prioritize risk in vegetation management, asset management, and pipelines that could spark wildfires.
Logic20/20’s Risk Analytics Platform uses leading-edge analytics to bring intelligence and efficiency to risk management. The scalable platform supports clear reporting on risk and prioritization of field inspection for:
Asset Management
Vegetation Management
Wildfire Mitigation
Platforms using data science and machine learning offer utilities a unique opportunity to manage risks more effectively, resulting in improved safety and operational performance.
Improved Asset Safety
Efficient Inspection & Operations
Safety-optimized investment planning
Challenges
Growing costs of asset failure, including wildfire or service disruption
Public and federal pressure for advanced safety measures
Incomplete historical and manually collected data
Grid enhancements spurred by renewables, distributed energy resources, and electric vehicles
New compliance requirements, including WMP
Limited situational awareness
Utilities Risk Analytics Platform
Through our Utilities Risk Analytics Platform, Logic20/20 applies leading-edge analytics and machine learning technologies to create an end-to-end solution that is changing the way utilities manage risk. We’ve built a holistic approach that can be applied to any factor of risk management— including asset management, vegetation management, drone image evaluation, IoT data management, and more
Reporting, scheduling, & applications
• Preventative maintenance
• Inspection prioritization
• Inspection insights
• Schedule optimization
• Data quality automation
• Strategic insights
Models for risk management aligned to wildfire mitigation
• Asset failure prediction
• Vegetation outage risk scoring
• Image detection:
• Broken cross-arms
• Insulator hardware wear detection
• Overgrowth detectio,
