Sample Processing Apparatus Self-Adjustment Management
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Solution Overview
Problem
Existing sample processing apparatus management systems face challenges in accurately and easily adjusting individual differences among automatic analyzers, requiring manual intervention and complex operations for countermeasures, which burdens technicians and complicates remote maintenance.
Innovation Solution
A sample processing apparatus management system that includes a self-adjustment section within the apparatus, which requests approval from a management apparatus before performing self-adjustments, ensuring that only approved adjustments are made based on detected events or abnormalities, thereby simplifying the adjustment process and reducing technician burden.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual adjustment and countermeasure operations are performed by technicians, then the apparatus can be adjusted to handle individual differences, but the operation complexity and technician burden increase
Solution Approach 1:
The automatic analyzer performs self-adjustment operations autonomously by executing adjustment programs stored in its memory. The self-adjustment section automatically modifies operational parameters based on detected individual differences, eliminating the need for manual technician intervention and reducing operation complexity while maintaining adaptability to individual apparatus variations
Solution Approach 2:
Adjustment programs are pre-stored in the memory section of the automatic analyzer. These programs contain predetermined adjustment sequences and parameters that are prepared in advance, allowing the apparatus to quickly execute self-adjustment without requiring technicians to manually program or calculate adjustment values during maintenance operations
2Loss of time
If remote adjustment is performed via e-mail commands, then technician travel time is reduced, but the adjustment precision and reliability decrease due to inability to perform apparatus-specific adjustments
Solution Approach 1:
The automatic analyzer autonomously performs self-adjustment by executing adjustment programs stored in its own memory, eliminating the need for remote technician intervention entirely. The apparatus detects its own individual differences and automatically applies corrections, ensuring both speed and precision are maintained simultaneously
Solution Approach 2:
A management server acts as an intermediary to transmit adjustment programs from a central database to the automatic analyzer. This allows pre-prepared, apparatus-specific adjustment programs to be delivered remotely and executed automatically, combining the speed of remote operation with the precision of customized adjustment parameters
3Productivity
If self-adjustment is performed without approval, then the adjustment speed increases, but the risk of incorrect adjustments and system reliability decreases
Solution Approach 1:
The system implements a feedback mechanism where the self-adjustment section requests approval from the management server before executing adjustments. The management server receives the adjustment request, validates it against stored adjustment programs, and provides approval or correction instructions. This feedback loop ensures adjustment accuracy while maintaining efficient automated operation
Solution Approach 2:
Adjustment programs are pre-validated and stored in the management server's database before being transmitted to the automatic analyzer. This preliminary preparation ensures that only verified, correct adjustment programs are executed, eliminating the risk of incorrect adjustments while maintaining fast execution speeds through automated approval processes
Data Source
AI summary
A sample processing apparatus includes a pipette configured to dispense a sample or a reagent and an arm supporting the pipette. A camera is configured to capture an image of a tip end of the pipette and a container to which the sample or the reagent is dispensed. A controller is programmed to determine, based on the image, an adjustment value for the arm such that the pipette is inserted into the container without collision.