Xylem. has been granted a patent for a fluid stream management system that utilizes a neural network and cascading treatment processor to optimize fluid flow in distant treatment facilities. The system minimizes total load values by integrating real-time measurements and historical hydrological data. GlobalData’s report on Xylem 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 Xylem, was a key innovation area identified from patents. Xylem's grant share as of June 2024 was 54%. Grant share is based on the ratio of number of grants to total number of patents.
Fluid stream management using neural networks and controllers
The granted patent US12037262B2 outlines a comprehensive fluid stream management system designed to optimize the transport, storage, and treatment of fluid streams across multiple distant fluid treatment facilities. The system incorporates various components, including fluid treatment facility sensors and pre-processing flow sensors that measure flow conditions. These measurements feed into neural networks that calculate initial flow condition attribute values. A cascading treatment processor, linked to a hydrological information database, predicts modified contribution values and total load values for each facility. The system employs multiple fluid flow controllers to adjust the flow through directing devices, ensuring that the real-time and predicted load values are minimized across a hierarchical arrangement of cascade levels.
Additionally, the patent describes a method for controlling fluid stream transport, which involves obtaining flow condition measurements, calculating pre-processing flow condition attribute values, and predicting modified flow condition attributes using neural networks. The method emphasizes the iterative training of the cascading treatment processor to align predicted values with real-time measurements. It also incorporates weather forecast information and historical data to enhance prediction accuracy. The system's design allows for dynamic adjustments in fluid flow management, ensuring efficient operation across various cascade levels, ultimately contributing to improved fluid treatment outcomes.
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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.
