Mass Spectrometer Auto-Tuning Block Segmentation
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Solution Overview
Problem
Complex mass spectrometers require extensive time for auto-tuning due to the increasing number of sections that need adjustment, which can lead to decreased mass resolution and sensitivity over time due to factors like sample adherence and surface oxidation.
Innovation Solution
A mass spectrometer with an auto-tuning function that sequentially adjusts parameters for each block, comparing current results with stored past results to omit unnecessary tuning steps, thereby reducing overall tuning time while maintaining precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If tuning is performed for all sections sequentially from start to finish, then tuning precision is maintained, but tuning time increases significantly
Solution Approach 1:
The mass spectrometer is divided into multiple blocks, with each block containing specific sections that are tuned together. This segmentation allows the tuning process to be organized into manageable units, enabling parallel processing of multiple sections within each block while maintaining overall tuning precision.
Solution Approach 2:
The system performs partial tuning by comparing current tuning results with stored reference values and only executing tuning for sections that fall outside acceptable ranges. This selective approach avoids unnecessary tuning of already-optimized sections, significantly reducing total tuning time while maintaining precision where needed.
2Adaptability or versatility
If the number of sections to be tuned increases with device complexity, then device functionality is improved, but tuning time increases
Solution Approach 1:
Sections are grouped into blocks based on their functional relationships and tuning dependencies. This segmentation strategy allows the system to manage increased device complexity by organizing numerous sections into manageable blocks, tuning only the necessary blocks while maintaining the enhanced functionality provided by all sections.
Solution Approach 2:
The system selectively tunes only the sections that require adjustment based on comparison with reference values, rather than tuning all sections regardless of need. This partial action approach maintains the device's versatile functionality while avoiding the time penalty of tuning every section.
3Measurement precision
If manual tuning is performed, then tuning precision can be maintained, but operation time and labor increase
Solution Approach 1:
The system performs automatic tuning by comparing current section parameters with stored reference values and autonomously determining which sections require tuning. This self-service capability maintains tuning precision while eliminating the need for manual intervention, significantly reducing operation time and labor requirements.
Solution Approach 2:
The system incorporates feedback mechanisms where tuning results are automatically compared with reference values, and adjustment decisions are made based on this feedback. This closed-loop approach maintains precision comparable to manual tuning while automating the process to reduce operation time and labor.
Data Source
AI summary
In a mass spectrometer having an auto-tuning function for sequentially executing parameter adjustments for each part in accordance with a prescribed procedure, a long time is required to tune all of the sections. Therefore, sections which require parameter adjustments are divided into block units, and tuning is executed in a predetermined block order. In each block, tuning is first executed on a representative part of the block, and the result is compared with past tuning results. If the values of both results fall within a prescribed range, the tuning of other sections included in the block is omitted.