Vestas Wind Systems has been granted a patent for a method that retrieves operational data from wind farms using data hubs. The method involves collecting data from wind turbines, transferring it to an external recipient, and including transfer information to track the data’s transfer history. GlobalData’s report on Vestas Wind Systems gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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According to GlobalData’s company profile on Vestas Wind Systems, Aerial inspection drones was a key innovation area identified from patents. Vestas Wind Systems's grant share as of June 2024 was 53%. Grant share is based on the ratio of number of grants to total number of patents.

Method for transferring operational data from wind farms

Source: United States Patent and Trademark Office (USPTO). Credit: Vestas Wind Systems AS

The patent US12047452B2 outlines a method and system for efficiently retrieving operational data from wind farms, which consist of multiple wind turbines. The process begins with a first data hub collecting operational data from at least one wind turbine. This data hub is responsible for initiating the transfer of the collected data to a data recipient located outside the wind farm. Notably, the first data hub adds transfer information to the operational data before transmission. This transfer information includes the number of attempts made to successfully transfer the data and a digital signature generated by the data hub, ensuring data integrity. The operational data can be relayed through one or more intermediate data hubs, which may also add additional transfer information, enhancing the traceability and reliability of the data transfer process.

The patent further specifies that the operational data can be transferred via dedicated communication connections and global communication networks, allowing for a structured flow of information. The transfer information can be embedded in various formats, such as metadata or headers, and may include latency information, which tracks the time taken for data transfer. The system is designed to enable the data recipient to reconstruct a transfer history based on the received operational data and accompanying transfer information. This capability is crucial for monitoring and analyzing the performance of wind turbines, thereby facilitating improved operational efficiency and maintenance strategies within wind farms.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.