O&Ms

with Solar Spy

O&M teams face ongoing challenges with manual monitoring and diagnostics, often leading to inefficient use of time and resources. They also struggle with accurately assessing the impact of issues on production, which is crucial for prioritizing maintenance tasks and optimizing energy output.

Streamline operations with the PV Copilot using AI to automate detection and diagnostics, enhancing field efficiency, and proactively informing teams to ensure they’re always ahead of potential issues.

Save Time and Man-Hours

Lift the load of manual control room monitoring and cut response times by automating issue detection with PV Copliot's AI analytics.

Enhance Field Work Efficiency

Limit unnecessary visits by relying on a constant site monitoring and issue diagnostics, so your technicians only go out when issues need to be fixed, being prepared with exact location and understanding of what should be done.

Leverage AI-Powered Thermal Image Analysis

Eliminate the need for manual thermal drone image analysis with precise AI. Get cell-level defect identification, classification, localization and estimated impact on production.

Stay Proactively Informed

Avoid false positives and receive timely alerts
for actual issues that need human intervention.

Save Time and Man-Hours

Enhance Field Work Efficiency

Leverage AI-Powered Thermal Image Analysis

Stay Proactively Informed

What Our O&M Clients Say

Frequently Asked Questions

What challenges does Solar Spy solve for O&M teams?

Teams responsible for the technical maintenance of PV facilities face ongoing challenges with manual monitoring and diagnostics, which often makes inefficient use of their time and resources. A key difficulty is precisely determining a problem’s impact on final energy production – essential for prioritizing maintenance work and optimizing performance.

Copilot PV uses artificial intelligence to automate problem detection and diagnostics, increasing field work efficiency and proactively informing technical staff before serious problems occur.

Automated problem detection based on the AI analytics available in the Copilot PV tool reduces the workload on technical staff and shortens the response time to detected defects.

Through constant location monitoring and problem diagnostics, technicians only travel to the field for defects that actually need repair, at a specific location, with a full understanding of the task – reducing the number of unnecessary visits.

Artificial intelligence reduces the need for manual thermal image analysis, providing identification, classification, location, and an estimate of the impact on final energy production at the level of a single cell.

The system filters events so that the team receives timely notifications only about problems that actually require human intervention, eliminating false alarms that would otherwise unnecessarily involve staff.

Solar Spy carried out 54 drone inspections for PST, and the reports delivered showed exact defect locations, helping technicians plan the order of repairs, which – as Adam Wołoszyn, Director of Commissioning/Service and Warranty at PST, points out – proved to be an invaluable help in optimizing costs and working hours.

According to clients like PST, what sets Solar Spy apart is not just the detailed analysis, but also how easy the reporting system is to use, which greatly simplifies workflow, helps maintain proper document flow, and makes it easier to share important data within the team.

Because that’s exactly the information needed to set maintenance priorities – instead of reacting to every reported problem one by one, the team can focus first on the defects with the greatest impact on the facility’s energy performance.