At Uali, we continue to expand our portfolio of solutions around renewable energies, promoting robotics and artificial intelligence as key pillars for monitoring and inspecting industry assets, with the aim of supporting the energy evolution.
Our operations team traveled to San Luis to conduct a survey and inspection of TotalEnergies' solar panels at the Caldenes plant, where Leonardo Lamana, Asset Manager, welcomed us to share a space for exchanging ideas and solutions with the aim of promoting sustainable and efficient energy sources.
Solar panels are a clean and renewable energy source that plays a crucial role in combating climate change and transitioning to a more sustainable future. At Uali, we focus on identifying potential areas for improvement and optimization, using precision sensors and Artificial Intelligence models to ensure the proper functioning of assets. Solar panel inspection is a key item in our development.
New technologies in photovoltaic plants: What is Uali's differential value in solar panel inspection?
Comprehensive ground coverage: Uali's drones equipped with thermal cameras provide complete coverage of the area, allowing for efficient inspection of large solar parks and distributed solar systems within the inspection area in a reduced period of time.
Early detection of defects: High-resolution thermal cameras can identify potential defects in solar panels, such as damaged cells, hot spots, or efficiency loss. This enables prompt actions to address the issues, minimizing downtime and maximizing energy production.
Practical and reliable data: We provide detailed, high-resolution data on the condition of solar panels for more informed decisions in pursuit of efficiency and operational continuity of photovoltaic systems.
Operation in challenging weather conditions: Uali's drones equipped with thermal cameras are capable of operating in adverse weather conditions, such as fog, dense clouds, or even light rain. This ensures that inspections can be carried out even under unfavorable conditions, providing accurate and reliable assessment of solar panels.
"We work on the continuous improvement of the detection model" - Amelia, CTO
Uali is committed to the continuous improvement of the defect detection model in solar panels. As more data is collected and analyzed, the detection algorithm is optimized, resulting in increased accuracy and reliability in identifying potential issues.
We join the energy evolution by combining robotics, IoT, and AI with the aim of providing valuable and actionable information that optimizes decision-making processes in asset management. Saving time, costs, and having positive impact on the environment. Get to know us!