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What is UAS Digital Twin Technology?

AlarisPro's Digital Twin technology creates a virtual, component level representation of each aircraft in your fleet, providing continuous visibility into aircraft health, reliability, and performance throughout its lifecycle.

By bringing together operational, maintenance, inspection, and historical reliability data, the Digital Twin helps organizations move beyond traditional reactive maintenance toward a more proactive, data driven approach to continued airworthiness.

How Does the Digital Twin Work?

Each Digital Twin maintains a detailed representation of the aircraft and its components. As operational data is collected, AlarisPro analyzes component performance and reliability trends to identify emerging issues and support more informed maintenance and operational decisions.

This helps operators identify potential concerns earlier, address maintenance needs proactively, and reduce the likelihood of unexpected aircraft downtime.

What Makes AlarisPro's Digital Twin Different?

At the foundation of AlarisPro's technology is the industry's only comprehensive UAS component reliability data lake.

Rather than evaluating an aircraft solely from its individual history, AlarisPro can leverage broader component level reliability intelligence to provide greater context into aircraft health and performance.

This unique data foundation, combined with AlarisPro's continued investment in artificial intelligence and predictive analytics, enables increasingly sophisticated approaches to aircraft health monitoring, predictive maintenance, and operational risk management.

Advancing Digital Twin Technology Through NASA SBIR Research

AlarisPro's Digital Twin technology is also being advanced through NASA Small Business Innovation Research (SBIR) funded research and development focused on next generation AI enhanced safety and reliability capabilities for UAS.

This research is advancing the use of artificial intelligence, high fidelity sensor data, component degradation modeling, transfer learning, and anomaly detection to develop Digital Twins capable of identifying subtle indications of component degradation and supporting real time risk assessment.

The goal is to enable increasingly intelligent aircraft health monitoring and predictive maintenance while supporting NASA's broader vision for In Time Aviation Safety Management Systems (IASMS) and the safe integration of increasingly complex UAS operations into the National Airspace System.

From Reactive to Predictive Maintenance

Digital Twin technology helps maintenance teams make decisions based on actual aircraft and component performance rather than relying solely on scheduled maintenance intervals or responding after an issue occurs.

This supports:

• Earlier identification of component degradation
• Predictive maintenance and improved maintenance planning
• Reduced unexpected aircraft downtime
• Improved aircraft reliability and operational safety
• Better spare parts and inventory forecasting
• Increased fleet readiness
• Data driven continued airworthiness decisions

Supporting the Future of UAS Operations

As UAS operations become more complex, autonomous, and increasingly reliant on BVLOS capabilities, understanding the health and reliability of every aircraft becomes critical.

AlarisPro's Digital Twin provides the component level intelligence and lifecycle visibility operators and manufacturers need today, while ongoing NASA SBIR research and development is helping advance the next generation of AI enabled predictive safety and reliability capabilities for tomorrow's National Airspace System.