AI-assisted monitoring and cleaning of solar photovoltaic power plants using UAV

AI-assisted monitoring and cleaning of solar photovoltaic power plants using UAV

This research aims to develop an integrated system for Solar PV panels automating various fault/anomaly detection and cleanliness.

The objectives include automating types of inspection, such as detecting hot spots, glass breakage, and soiling over the panels. It will also look at evaluating the level of cleanliness or anomaly conditions for planning an efficient cleaning and maintenance cycle. The system serves to enhance the efficiency and lifetime of solar panels.

Dates

April 2023 to September 2026

Key people

Relevant collaborators

  • YellowFIN Robotic Solutions Pty Ltd

Funding source

  • YellowFIN Robotic Solutions and RMIT University
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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.

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aboriginal flag
torres strait flag

Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business.

More information