Advanced intelligent water quality analysis system for detection of rare earth minerals and elements

WO2025189179A8 Publication Date: 2025-10-02DALOIA CHAD
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Patent Information

Application Number
PCT/US2025/019109
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-03-08
Filing Date
2025-03-10
Publication Date
2025-10-02

AI Technical Summary

Technical Problem

Traditional methods for detecting rare earth metals and elements in water sources are labor-intensive, costly, and less efficient, requiring specialized personnel and lengthy processing times, and often involve destructive testing.

Method used

An intelligent water quality analysis system (IWQAS) that integrates advanced water quality sensors with machine learning algorithms to analyze parameters such as pH, conductivity, and turbidity, using a machine learning module to identify patterns and correlations for precise detection of rare earth metals, employing a modular sensor array and adaptive learning to improve accuracy over time.

Benefits of technology

The IWQAS provides high-accuracy, real-time monitoring and detection of rare earth metals, enhancing resource exploration and environmental monitoring with improved efficiency and scalability, reducing costs and labor requirements.

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Abstract

A computer-implemented system can be programmed for detecting rare earth metals and elements (REMEs) in a fluid flow. The system may include a suite of sensors configured to generate signals indicative of different attributes of the fluid flow. A data analysis module of the system is programmed for receiving and processing signal data from the sensor. In addition, a machine learning module of the system is programmed for executing machine learning algorithms for predicting a presence of at least one REME in response to the determined attribute of the fluid flow.
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