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ORION

Tracker Performance Diagnostics

Detect and diagnose tracker deviations in real time, turning hidden failures into proactive maintenance actions.
DIGITALISED ASSET MANAGEMENT MODEL

TRACKER PERFORMANCE DIAGNOSTICS

Solar tracking systems are fundamental to performance — but also a source of silent failures that can go unnoticed for weeks, due to a lack of detailed monitoring and proper diagnostics. Manual analysis of tracker performance is inefficient and inconsistent, causing energy losses to accumulate, and identifying causes to become reactive rather than proactive.

 

OUR SOLUTION

To tackle these problems, Quintas Analytics developed Tracker Performance Diagnostics; a digitalised asset management model to monitor and diagnose tracker behaviour.

We integrate tracker logs, wind sensors and SCADA data for a complete picture.
We automate deviation and failure detection using expected patterns and operational rules.
We classify root causes and failure types, enabling faster and better-targeted interventions.
We audit the impact on production with full traceability, from deviation to yield loss.
With Tracker Performance Diagnostics, what used to be a manual, reactive analysis has become a digital, proactive model, tailored to each individual plant and technology. This digitalised asset management model doesn’t just detect faults early; it helps you understand and resolve them — putting actionable data in your hands.

Wondering how data-driven models can simplify operations and compliance?

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