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The use of autonomous drones with automated flight systems and real-time data analysis allows for the detection of critical failures in solar infrastructures, reducing inspection times by up to 90%.
The management of large solar parks is undergoing a radical transformation thanks to the implementation of autonomous drones and smart capture. This technology, which integrates artificial intelligence and programmed navigation, has evolved from being an experimental tool to becoming the gold standard for ensuring operational efficiency and preventing major risks, such as fires caused by installation defects or material degradation.
Unlike manual inspections, next-generation drones use “digital twins” to plot millimetric flight paths. This approach allows the aircraft to operate 100% autonomously, capturing thermal images under international standards (IEC) and ultra-high-resolution photographs. The main goal is to identify hotspots or physical failures that the human eye cannot detect at a glance, managing to monitor areas between 100 and 250 hectares in a single day.
The true competitive advantage lies in the analytical capability. Smart capture systems process factual information to detect thermal anomalies before they become critical failures. According to recent industry data, a large part of incidents in solar plants are due to component failures or crimping errors. With the use of these PV drones, it is possible to locate potential electric arcs and high-resistance points, intervening preventively and ensuring that the plant’s productivity remains at optimal levels.
The adoption of these solutions not only increases precision but also drastically improves the safety of technical personnel by avoiding risky displacements. Additionally, the ability to generate georeferenced reports and historical records allows renewable energy companies to conduct robust predictive maintenance, optimizing operation and maintenance costs (O&M) and extending the lifespan of solar assets on a global level.

• Safety of the human team on site, reducing movements in the park.
• Autonomous inspections scheduled, without the need for direct manual intervention.
• Advanced incident detection through high-resolution thermal and visual analysis.
• Reduction of operational costs and increased safety in large-scale fields.
• Direct integration with asset management platforms for activity logging.
• Improvement in response times and attention, ensuring asset productivity.
The Autonomous Aerial Operation Project – they explain – is “in an advanced development phase” and the first tests are expected to begin in large-scale photovoltaic plants “in the coming months”.
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Director/Propietario:
Luis Pavesio
Registro DNDA en trámite
Fecha: 23/12/2025
N° de Edición: 4832
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