From reactive to predictive action
Today, electric utilities operate critical underground distribution assets with limited visibility. Risk and impact are highest in mission-critical locations where access is challenging and consequences are severe. These dense urban and suburban areas have high pedestrian and vehicle traffic, critical economic, transportation and public infrastructure. CNIguard modernizes how utilities monitor and manage these critical assets.
CNIguard’s purpose-built underground sensors and analytics deliver real-time intelligence that helps prevent safety events, eliminates or shortens outages and automates inspections, all while reducing operations and maintenance (O&M) costs. With CNIguard, utilities move from reactive responses with fragmented or limited data, to predictive maintenance driven by meaningful alarms, data and analytics.
CNIguard’s Solution
Reducing risks in underground electric distribution systems
Faults and advanced electrical monitoring
Detects location, magnitude and direction of electrical faults for reduced time to isolate outage. Advanced notification of transient events, alerting for partial discharge and power load monitoring for enhanced reliability.
Advanced IR and visual imaging
Continuous monitoring of critical equipment and cables for emerging failure conditions for predictive action to avoid outages.
Explosive gas detection
Early detection of flammable gases (IEEE 2417-2022) from natural gas leaks or cable insulation degradation to prevent vault and manhole fires and explosions.
Expandable platform for new sensors
New sensors with proprietary or industrial data protocols (DNP3, Modbus and others) are easily integrated into the platform to enable expanded capability as monitoring use cases evolve.
Edge analytics and AI
The system processes sensor data to deliver actionable intelligence based on multiple environmental and asset conditions.
Enterprise data integration
All information is readily integrated into the utility back office for a unified view of the underground distribution network when combined with other data sources.
Jason Wilson