Liquid Detection via Molecular Interference Function Extraction
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Solution Overview
Problem
Existing methods for extracting the Molecular Interference Function (MIF) of liquid substances face challenges with low signal-to-noise ratios in high energy ranges and limited applicability for substances with equivalent atomic numbers greater than 11, leading to reduced accuracy and a restricted range of detectable substances.
Innovation Solution
The method combines CT data with XRD energy spectrum data to obtain the equivalent atomic number, then uses Independent Atomic Modeling to estimate coherent and incoherent scattering functions, enabling the extraction of MIF with improved accuracy and a wider effective range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing methods are used to extract MIF in high energy ranges, then detection can be performed, but the signal-to-noise ratio is low and accuracy is reduced
Solution Approach 1:
The patent introduces an intermediary calibration substance with known molecular interference function to bridge the measurement process. By comparing the unknown liquid substance against this calibrated reference, the system can extract MIF with higher accuracy even in high energy ranges where signal-to-noise ratio is typically low. The calibration substance acts as a mediator that enables reliable measurement through differential analysis.
Solution Approach 2:
The patent changes the measurement parameters by utilizing calibration data to adjust and optimize the extraction process. By incorporating known MIF values from calibration substances, the system can compensate for noise and improve the signal-to-noise ratio in the measurement of unknown substances, thereby enhancing measurement precision without requiring changes to the physical measurement conditions.
2Adaptability or versatility
If existing methods are used for substances with equivalent atomic numbers greater than 11, then detection is limited, but the range of detectable substances is restricted
Solution Approach 1:
The patent achieves universality by developing a detection method that works across a broad range of substances including those with equivalent atomic numbers greater than 11. The calibration-based approach is substance-agnostic and can be applied to any liquid substance, making the system multi-functional and highly adaptable. This universal method eliminates the need for substance-specific calibration and extends detection capability to previously difficult-to-detect materials.
Solution Approach 2:
By using a calibration substance as an intermediary reference, the system can accurately measure substances with high equivalent atomic numbers that were previously difficult to detect. The calibration reference provides a known baseline that enables the extraction algorithm to compensate for the challenges associated with high atomic number substances, thereby maintaining measurement precision across a universal range of detectable materials.
3Adaptability or versatility
If conventional MIF extraction methods are used, then the process is simple, but the effective range of liquid substance detection is limited
Solution Approach 1:
The patent applies preliminary action by performing calibration measurements beforehand to establish known MIF values for reference substances. This pre-calibration step creates a database of reference data that simplifies subsequent measurements of unknown substances. The preliminary calibration process enables the system to handle a wider effective range of liquid substances without increasing the complexity of the actual detection process, as the heavy lifting of characterizing reference materials is done in advance.
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 enhances the accuracy and range of MIF calculation, providing a higher signal-to-noise ratio and broader applicability for liquid substance identification, especially for substances with higher equivalent atomic numbers.
Implementation Method 1
irradiating an object with incident X-ray photon radiation
Implementation Method 2
a main way to implement nondestructive detection is diffraction imaging, which implements detection of a liquid substance without sampling based on a principle that substances with different molecular structures will produce different X-Ray Diffraction (XRD) patterns
Implementation Method 3
a measured scattering spectrum scattered by the object
Data Source
Figure 1
Figure 2
Figure 3a~3b
AI summary
A method and system for liquid detection are disclosed. The method for liquid detection according to embodiments of the invention includes: performing CT scanning and XRD scanning on a liquid substance simultaneously to obtain CT data and XRD energy spectrum data of the liquid substance (S102); extracting a molecular interference function of the liquid substance based on the CT data and the XRD energy spectrum data of the liquid substance (S104); and identifying the liquid substance by using the molecular interference function and the CT data of the liquid substance (S106). The method and system for liquid detection according to embodiments of the invention may obtain the molecular interference function with a higher signal-to-noise ratio and a larger effective range of the liquid substance and thus identify a wider range of liquid substances.