Automatic Analyzer Elevation Parameter Adjustment
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Solution Overview
Problem
Automatic analyzers face challenges in obtaining accurate analysis results due to individual device differences and the inability to adjust parameters according to varying usage environments, such as different elevations, leading to inefficient optimization processes.
Innovation Solution
An automatic analyzer with a parameter storage unit, elevation information acquiring unit, and parameter setting unit that adjusts parameters based on the elevation, using an elevation-parameter table to optimize settings for each environment, ensuring accurate analysis across diverse settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If parameters are adjusted individually for each usage environment, then analysis accuracy is improved, but adjustment time and complexity increase
Solution Approach 1:
The patent pre-calculates and stores optimal parameter values for multiple elevation environments in a table before actual use. When the analyzer is deployed, the system only needs to query the stored table based on the current elevation rather than performing complex optimization calculations in real-time. This preliminary preparation of optimization data resolves the contradiction by making accurate parameter adjustment instantaneous without requiring time-consuming individual optimization for each environment.
Solution Approach 2:
The patent creates a simplified copy of the complex optimization problem by pre-computing parameter sets for different elevations and storing them in a lookup table. Instead of solving the full optimization problem each time, the system copies the pre-solved solutions from the table based on elevation matching. This copying approach maintains high analysis accuracy while reducing adjustment time from minutes or hours to seconds.
2Measurement precision
If parameters are adjusted for specific environments, then analysis accuracy in that environment is improved, but device complexity increases
Solution Approach 1:
The patent segments the continuous parameter adjustment problem into discrete elevation-based categories. By dividing the usage environment into distinct elevation ranges (e.g., sea level, 1000m, 2000m, 3000m above sea level), the system can use simple lookup tables instead of complex continuous optimization algorithms. This segmentation maintains high accuracy for each environment while significantly reducing the overall system complexity through discrete categorization.
Solution Approach 2:
The patent changes the approach from dynamically adjusting parameters based on complex environmental sensing to selecting pre-determined parameter sets based on elevation classification. The system modifies its operation by switching between discrete parameter sets stored in the table rather than continuously tuning parameters, thereby achieving environment-specific accuracy without implementing complex real-time adjustment mechanisms.
3Stability of the object's composition
If reference data from reference solution is used to control individual differences, then device consistency is improved, but adaptability to different usage environments deteriorates
Solution Approach 1:
The patent creates a universal parameter adjustment mechanism that serves multiple elevation environments through a single integrated system. The lookup table contains parameter sets for various elevations, allowing the same device to universally adapt to sea level, mountainous, and plateau environments without requiring separate calibration systems for each location. This multi-functional approach maintains device consistency through standardized procedures while achieving broad environmental adaptability.
Solution Approach 2:
The patent introduces dynamic adaptability by making the parameter selection dependent on the detected elevation. Rather than using fixed reference data, the system dynamically queries the appropriate parameter set from the table based on current environmental conditions. This dynamic approach allows the device to maintain consistency through systematic adaptation, transitioning smoothly between different operational modes for different elevations.
Data Source
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AI summary
An automatic analyzer (100) includes: a storage unit (21b) that stores various parameters of the automatic analyzer (100) in association with each of elevations used in the automatic analyzers (100), the parameters being optimized for each of the elevations; an input unit (21d) that acquires information of an elevation at which the automatic analyzer (100) is provided; and a controller (21a) that reads the parameters stored in the storage unit (21b) and sets the read parameters to the automatic analyzer (100) based on the elevation acquired by the input unit (21d). As a result, various parameters can be easily adjusted according to a usage environment of the device.