EQT has been granted a patent for a UAV system designed for inspecting and maintaining structures like utility poles and metal towers. The UAV can measure component thickness and repeat measurements over time to detect changes, enhancing structural maintenance and safety. GlobalData’s report on EQT 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 EQT, was a key innovation area identified from patents. EQT's grant share as of June 2024 was 66%. Grant share is based on the ratio of number of grants to total number of patents.
Uav for inspecting and maintaining structures
The patent US12012208B2 describes an unmanned aerial vehicle (UAV) designed for the inspection and maintenance of structures. The UAV features a body equipped with rotor assemblies for lift and movement, a connection port for various component assemblies, and sensors for geolocation and altitude. The controller of the UAV is programmed to receive data from these sensors and component assemblies, allowing it to generate flight instructions that guide the UAV to specific locations on a structure. The UAV can be equipped with various component assemblies, including sensor assemblies (such as cameras and LiDAR) and tool assemblies (like drill and articulable arms), enhancing its functionality for diverse inspection tasks.
Additionally, the UAV's controller can store flight instructions locally or transmit them to a remote device. It is capable of adapting its flight path based on the type of structure being inspected and can utilize specific tools, such as a non-conductive gap tool, to assess the condition of conductors. The UAV can also determine discrepancies between expected and actual flight paths, which may indicate issues like corrosion on conductors. This innovative UAV design aims to streamline the inspection and maintenance processes, making them more efficient and effective through advanced automation and sensor integration.
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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.
