Uponor has filed a patent for a fluid quality measurement device utilizing holograms and a neural network to classify microscopic objects in a fluid sample. The device generates a fluid sample fingerprint based on the classification. GlobalData’s report on Uponor gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on Uponor, Extrusion-based additive manufacturing was a key innovation area identified from patents. Uponor's grant share as of January 2024 was 63%. Grant share is based on the ratio of number of grants to total number of patents.
Fluid quality measurement device using holograms and neural network
A newly filed patent (Publication Number: US20240003808A1) describes a fluid quality measurement device that utilizes holograms to represent microscopic objects in a fluid sample. The device includes a processor, memory with computer program code, and an autoencoder neural network to generate latent space representations of holograms. These representations are used to classify holograms into different classes based on the partition of the latent space, ultimately creating a fluid sample fingerprint indicating the concentration of microscopic objects in the sample for each class. The device can transmit this fingerprint to a server or provide it to a user, enhancing fluid quality monitoring capabilities.
Furthermore, the patent details a server that receives the fluid sample fingerprint from the measurement device and compares it to preconfigured criteria. If the fingerprint does not meet the criteria, the server generates an anomaly notification. This comparison is done by producing a feature space representation of the fingerprint and comparing it to a reference fingerprint. By calculating a distance metric between the fingerprints and comparing it to a maximum distance metric, the server can identify anomalies in the fluid sample. Additionally, the server can compare the concentration of microscopic objects in the sample to preconfigured maximum values to detect anomalies. The patent also outlines a fluid monitoring system combining the measurement device and server, as well as methods and computer program products for fluid quality measurement and monitoring based on hologram analysis and anomaly detection.
To know more about GlobalData’s detailed insights on Uponor, buy the report here.
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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.
