Autonomous drone inspection: AI enables, for the first time, customers to perform independent automated drone inspections. An international patent-protected technology for visual inspection and contactless lightning protection measurement for on- and offshore wind turbines.
The use of unmanned aviation is growing rapidly in both the civil and commercial sectors. Of course, it doesn’t remain unnoticed – more and more people are coming into contact with the new technology in their private or business lives. Therefore, the legitimate question arises: Will the use of drones be accepted by the population?
Der Bundesverband für KI hat im Februar 2021 ein Positionspapier zum Thema “Wie Künstliche Intelligenz Klimaschutz und Nachhaltigkeit fördern kann” herausgebracht. Hierin wird ein Sieben-Punkte-Plan beschrieben, welcher konkrete Schritte zeigt, um mit KI effektiv zum Klimaschutz beizutragen. In nachfolgendem Artikel wird das Positionspapier zusammengefasst.
The complexity of wind turbines increased due to ever higher efficiency and performance. This also raise up the risk of damage to the turbines. These range from gearbox damage to electrical damage to lightning or even fire damage. These can result in downtime for the operator and high costs for the insurance companies – which may be avoidable.
The development in the field of wind energy in recent decades has been enormous. The rated power, for example, is constantly increasing and thus also the yields. These are a thousand times higher than they were in the early 1980s. Furthermore, the turbines are getting bigger, more powerful and more efficient. All in all, this means that a higher risk has also arisen – and accordingly special insurances are necessary.
Our AI based software technology is used for autonomous drone inspection of on- and offshore wind turbines.
Drones are increasingly being used as an alternative for the inspection of wind turbines. TOPseven’s AI takes the technology to the next level: The autonomous drone inspections document damages and identifies possible defects in the lightning protection system.
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