RF and Ultrasonic Liquid Identification System
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Solution Overview
Problem
The identification of chemical and pharmaceutical solutions and compositions in manufacturing is challenging due to the need for accurate and automated quality control systems to prevent defects and human error, especially in the increasing use of automation and technology.
Innovation Solution
A method involving the use of radio frequency (RF) and ultrasonic (US) signals to interrogate liquid samples by transmitting and receiving signals through various antennas and transducers, analyzing the signals in frequency and time domains, and comparing them against baseline measurements to identify the liquid or predict its identity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If automated quality control systems are implemented for liquid identification, then manufacturing precision and reliability are improved, but device complexity increases
Solution Approach 1:
The system divides liquid identification into multiple measurement domains (time domain, frequency domain, FFT analysis) that can be independently processed and combined, allowing complex identification tasks to be broken down into manageable analytical segments
Solution Approach 2:
The measurement system serves multiple functions by analyzing liquids across different domains (time, frequency, FFT) and using various signal processing techniques (PLS regression, correlation analysis) to achieve both identification and verification of liquid compositions
2Measurement precision
If multiple signal analysis methods are used to identify liquids, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system employs periodic signal analysis methods including Fast Fourier Transform (FFT) to convert time-domain signals into frequency-domain representations, enabling efficient analysis of periodic patterns in liquid properties without requiring exhaustive time-domain examination
Solution Approach 2:
The system transforms measurements between different parameter domains (time domain, frequency domain, FFT domain) and applies various processing parameters (PLS regression, correlation coefficients) to achieve accurate identification while optimizing analysis speed through parameter selection
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables accurate and efficient identification of liquids in containers, such as IV bags, by providing a reliable method for verifying drug/solution mixtures and predicting their composition, reducing the risk of manufacturing defects and human error.
Implementation Method 1
providing an input radio frequency (RF) signal at a frequency between 100 MHz and 15 GHz; introducing the input RF signal to the container with the liquid sample by at least one of: one or more transmitting wide band antennas, one or more transmitting narrow band antennas, a coaxial probe providing the input RF signal
Implementation Method 2
receiving at least one of: a reflected RF signal, and a coupled RF signal, the at least one received signal generated from the introduction of the input RF signal to the container with the liquid sample
Implementation Method 3
generating an US wave in the US transducer from the high-voltage pulse; propagating the US wave through the couplant to the container with the liquid sample
Implementation Method 4
produce one or more pulse echoes to be received by the US transducer, employing a delay between the propagated US wave and the one or more produced pulse echoes
Data Source
AI summary
A system and method are disclosed for interrogating a liquid in a container. In one embodiment, a method is provided to interrogate and identify a liquid in a medical container.