Lithium Recovery Fluid Sampling With Tagged Sensor-Data Correlation
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Solution Overview
Problem
The manual process of collecting lithium-containing fluid samples in lithium processing plants is cumbersome, time-consuming, and prone to inaccuracies due to clogging issues, leading to flawed volume measurements and analysis.
Innovation Solution
A system with automated sample dispensers, identification tags, and sensors that facilitate the collection, tagging, and analysis of process fluid samples, ensuring accurate association of sensor and test data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual sampling process is used, then flexibility and simplicity are maintained, but time consumption and labor intensity increase significantly
Solution Approach 1:
The automated sampling system performs sampling operations autonomously without requiring manual intervention. The system self-regulates the sampling process, including activating pumps, controlling flow rates, and managing sample collection sequences, thereby eliminating labor-intensive manual operations while maintaining operational simplicity through programmable automation
Solution Approach 2:
The patent replaces manual mechanical sampling operations with an automated control system that uses sensors, programmable logic controllers, and automated fluid handling mechanisms. This substitution eliminates the need for manual sample collection while maintaining system simplicity through integrated automation that consolidates multiple functions into a unified control architecture
2Productivity
If automated sampling system is implemented, then productivity and accuracy are improved, but device complexity increases
Solution Approach 1:
The automated sampling system is designed with multi-functional components that perform multiple operations. The sampling apparatus can handle different sample types, adjust flow rates dynamically, and integrate with various analysis instruments, thereby achieving high productivity through a single versatile system rather than multiple specialized devices, which helps manage overall system complexity
Solution Approach 2:
The patent integrates multiple sampling functions and control mechanisms into a unified automated system. By merging sample collection, volume measurement, labeling, and data management functions into a single coordinated apparatus, the system achieves improved productivity while avoiding the complexity that would arise from managing separate independent systems
3Quantity of substance
If solid particles are present in process fluid, then lithium recovery is enabled, but clogging of control valves occurs
Solution Approach 1:
The system introduces an intermediary filtration mechanism that separates solid particles from the process fluid before the fluid reaches control valves. This intermediary filtering stage allows lithium-containing solids to be recovered and processed while preventing particle clogging of valves, thereby maintaining both lithium recovery efficiency and valve operational reliability
Solution Approach 2:
The patent extracts solid particles containing lithium from the process fluid stream using separation mechanisms such as filtration or decantation. By taking out the solid phase before it reaches sensitive control components, the system enables lithium recovery while preventing clogging issues that would compromise valve reliability and flow control
4Measurement precision
If manual data entry and correlation is performed, then data accuracy can be verified, but time consumption and potential for errors increase
Solution Approach 1:
The system replaces manual data entry and correlation processes with automated electronic data capture and processing. Sensors automatically record sampling parameters, volumes, and test results, while a control system electronically correlates this data with process information, eliminating manual transcription errors and significantly reducing data processing time while maintaining verification capabilities through automated validation algorithms
5Measurement precision
If sample volume is increased for analysis, then measurement accuracy improves, but clogging risk and fluid loss increase
Solution Approach 1:
The system implements partial sampling where only the necessary minimum volume required for accurate analysis is collected. By determining and collecting precisely the optimal sample volume needed for each analysis type, the system achieves sufficient measurement accuracy while minimizing fluid loss and reducing the risk of clogging that would occur with larger sample volumes
Data Source
AI summary
A fluid sampling system having a nozzle, a fluid path configured to transfer a process fluid sample of a process fluid from a process fluid source of a lithium recovery system to the nozzle, a fluid control device along the fluid path, an identification tag reader, and a processing device. The fluid control device may operate between a closed position in which it prevents transfer of the process fluid sample and an open position in which it permits transfer of the process fluid sample into a sample container. The identification tag reader may read an identification tag associated with the sample container and output dispenser identification tag data indicative of the identification tag. The processing device may receive process sensor data indicative of properties of the process fluid, receive the dispenser identification tag data, and associate the dispenser identification tag data with the process sensor data.