Sample Analysis System for Mixed Substance Identification
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Solution Overview
Problem
Conventional methods for identifying foreign objects containing both inorganic and organic substances rely on operator skill and can produce inconsistent results between infrared and X-ray analysis, leading to incorrect identification.
Innovation Solution
A sample-analyzing system that integrates data from multiple analyzing devices, including fluorescent X-ray, infrared, and Raman spectrometers, calculates an integrated degree of matching by comparing measurement data with a reference database, and applies coefficients based on scattered radiation ratios to determine the nature of the sample, thereby reducing operator reliance and ensuring accurate identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional identification methods using separate FTIR and EDX analysis are employed, then the identification process can be performed using existing equipment, but the results differ when the foreign object contains both inorganic and organic substances, requiring operator judgment that reduces reliability
Solution Approach 1:
The patent merges the results from FTIR (organic substance analysis) and EDX (inorganic substance analysis) into a single integrated identification system. The determining unit combines both analysis results to automatically identify foreign objects containing both organic and inorganic substances, eliminating the need for separate operator judgment and improving identification reliability.
Solution Approach 2:
The determining unit is designed to handle multiple types of foreign objects universally - it can identify objects containing only organic substances, only inorganic substances, or combinations of both. This multi-functional capability allows a single system to replace multiple specialized analysis paths, improving consistency without requiring different operators or procedures.
2Measurement precision
If operator experience is relied upon to resolve conflicting identification results, then flexibility in judgment is achieved, but identification accuracy decreases due to insufficient operator knowledge in certain substance areas
Solution Approach 1:
The system performs self-service by automatically integrating and interpreting both FTIR and EDX results through the determining unit. The system itself possesses the knowledge needed to identify foreign objects containing both organic and inorganic substances, eliminating the need for operators to have specialized knowledge in both organic and inorganic chemistry. The automated determination process ensures consistent, accurate results regardless of operator expertise level.
3Adaptability or versatility
If multiple analyzing devices are used to comprehensively analyze foreign objects, then the scope of detectable substances is improved, but the complexity of integrating and interpreting results from different devices increases
Solution Approach 1:
The determining unit serves as an intermediary that receives data from both FTIR and EDX devices and performs the integration function. It processes the results from both devices according to predetermined criteria, combining the organic substance identification from FTIR with the inorganic substance identification from EDX to produce a unified foreign object identification result, thereby simplifying the complexity of data integration.
Data Source
AI summary
Provided is a sample-analyzing system used for identifying a target sample from its measurement data obtained using a plurality of analyzing devices including at least one device selected from a fluorescent X-ray analyzer, atomic absorption photometer and inductively coupled plasma emission analyzer as well as at least one device selected from an infrared spectrophotometer and Raman spectrophotometer. The system includes: a storage section for holding measurement data obtained for each of the reference objects using the analyzing devices; a measurement data comparator for comparing, for each analyzing device, the measurement data of the target sample with those of the reference objects and for determining the degree of matching of the target sample with each reference object; an integrated degree-of-matching calculator for calculating an integrated degree of matching from the degrees of matching determined for the analyzing devices; and a comparison result output section for outputting information concerning a predetermined number of reference objects in descending order of the integrated degree of matching.