Duke Energy patented a liquid sampling apparatus for hands-free collection of water samples using drones. The apparatus includes a frame supporting groundwater sampling bailers and a weight for maintaining vertical orientation during sample collection. The design allows for efficient and accurate sampling from surface waters. GlobalData’s report on Duke Energy 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 Duke Energy, Smart metering system was a key innovation area identified from patents. Duke Energy's grant share as of January 2024 was 28%. Grant share is based on the ratio of number of grants to total number of patents.
Drone-enabled liquid sampling apparatus for surface water collection
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A recently granted patent (Publication Number: US11828686B1) discloses a liquid sampling apparatus designed to collect and store liquid samples from a body of liquid efficiently. The apparatus includes a frame supporting at least one bailer, with features such as a base with holders for the bailer, an upper portion for securing the bailer, elongate members connecting the base and upper portion, and a weight that can move between retracted and downwardly extended positions. This weight helps maintain the apparatus and bailer in a vertical orientation during sample collection, supported by a telescopic second member associated with the first member.
Furthermore, the patent describes a method for sampling surface water using the apparatus, involving lowering it into the water body with at least one groundwater sampling bailer attached. The method includes collecting water samples while keeping the apparatus and bailer in a vertical position, facilitated by the movable weight. The apparatus's design allows for efficient sample collection while ensuring stability and accuracy in the sampling process, making it a valuable tool for various applications requiring liquid sampling from bodies of water.
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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.
