SAS® Grid Guardian AI

Achieve unparalleled distribution grid reliability and service levels using innovative mobile IoT sensors, AI and advanced analytics.

Eliminate overhead equipment failures. Prioritize maintenance plans. Achieve unmatched safety, reliability and uptime with a solution that could pay for itself in less than a year.

Prevent unplanned loss of service, collateral damage to equipment and added safety risks to workers.

SAS Grid Guardian AI – a first-of-its-kind solution from SAS and partner Exacter – complements your existing asset performance management approach with patented edge-computing sensing technology and advanced analytics focused on RF emissions from equipment. The solution uses AI and machine learning to analyze these emissions, so you can better understand which types of equipment failures are most likely to occur and prioritize maintenance plans for safety, reliability and uptime.

Reduce operations and maintenance costs.

SAS Grid Guardian AI automatically associates collected data with relevant assets while sensors are on the move, increasing throughput and saving time and money. This reduces interruptions and allows you to act faster – and earlier – to any issues in your distribution grid infrastructure.

Improve reliability metrics.

SAS Grid Guardian AI helps you understand where power delivery system weaknesses are so you can direct capital expenditures where they will have the biggest impact. This helps prevent outages; improves SAIFI, SAIDI and CAIDI values; and reduces the risks of reportable OSHA events.

Get to Know SAS® Grid Guardian AI

Key Features

SAS Grid Guardian AI uses your existing utility infrastructure, novel sensing technologies and enhanced analytical capabilities to accurately anticipate equipment failures well in advance.

Industry-leading sensor technology

Extracts greater insights from your data using advanced analytics embedded in Exacter's patented Trekker devices. Eliminates up to 60% of overhead-equipment-related outages.

Mobile data acquisition platform for grid analytics

Uses battery-operated sensors mounted on fleet vehicles, such as sanitation trucks, to evaluate distribution and transmission grids wherever they go for repetitive, continuous, conditions-based grid data.

Comprehensive data management

Integrates structured and unstructured data from all sources. Provides an enterprise view of asset performance for improving asset maintenance practices and grid reliability.

Intelligent location matching

Automatically aggregates and matches degradation data from sensors to specific utility asset locations.

Advanced early-warning analytics

Helps you Reduce downtimes, avoid major defects and address potential performance issues before they escalate.

Automated monitoring & predictive alerts

Provides continuous condition-based monitoring and fault detection for accurate identification of degraded equipment, without the need to install new sensors.

Automated prioritization

Prioritizes the sequence for addressing issues so you can allocate manpower where it’s needed most – before equipment-caused interruptions occur.

Increased throughput

Enables you to inspect, analyze and map more circuit miles to the utility system for appropriate resource allocation.

Rapid, scalable cloud deployment

This software as a service is easy to deploy and use, and scales to your needs.

Integration with existing work order systems

Provides the option to integrate the solution with your existing work order systems to minimize disruption to your existing processes.

Grid prognostics

Uses predictive analytics and machine learning to forecast the outlook for CI and CMI by component.

Explore More on SAS® Grid Guardian AI and Beyond

Solution Brief

Predictive utility equipment maintenance

Predict and mitigate equipment failures before service interruptions occur using sensor data, AI and advanced analytics.

Webinar

Amplifying Insights for Resilience and Safety

Learn how your utility can address asset maintenance and management challenges with new connected asset technologies.

Analyst Report

Data-Driven Grid Reliability: Iot Sensing and Analytics to Enable Predictive Maintenance and Improve Resiliency

Explore how AI, IoT sensors, advanced analytics and predictive maintenance can significantly improve reliability and build resiliency in the power grid.

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