Autoloader Axis Load Monitoring for Glass Slide Stall Prevention
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Solution Overview
Problem
Digital pathology apparatuses face challenges in protecting fragile and valuable glass slides from damage during transit between processing stations due to improper positioning, jamming, or collision, which can result in breakage and equipment malfunction.
Innovation Solution
A digital pathology apparatus equipped with motor-driven systems that monitor load resistance feedback values to detect potential stall circumstances before critical errors occur, setting specific threshold values for different surface forces to prevent damage and implement recovery routines to safely reset the motion, thereby protecting glass slides and mechanical components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If motor-driven systems are used to convey glass slides between processing stations, then automation and productivity are improved, but the risk of slide damage from stall circumstances increases
Solution Approach 1:
The system performs preliminary detection of stall circumstances by monitoring load resistance feedback values before critical errors occur. The processor compares real-time motor load resistance against predetermined thresholds to identify potential stall situations early, allowing preventive action before slide damage happens.
Solution Approach 2:
The system implements continuous feedback monitoring of motor load resistance values during slide conveyance. The processor receives real-time feedback from motors and compares it against predetermined thresholds, enabling dynamic detection and response to stall circumstances that protect slides while maintaining automated operation.
2Reliability
If stall detection monitoring is implemented to prevent slide damage, then slide safety is improved, but device complexity increases
Solution Approach 1:
The motor monitoring system performs self-service by utilizing the motor's own load resistance feedback for detection purposes. The system monitors itself without requiring external sensors or additional complex monitoring equipment, as the motor's inherent feedback mechanisms provide sufficient data for stall detection when processed against predetermined thresholds.
3Measurement precision
If predetermined threshold values are set for different surface forces, then detection precision is improved, but device complexity increases
Solution Approach 1:
The system applies local quality by setting different predetermined threshold values for different surface forces acting on the slide. Rather than using a single generic threshold, the processor compares load resistance against specific thresholds tailored to different operational contexts (e.g., different surfaces, different slide positions), improving detection accuracy without requiring complex adaptive algorithms.
Data Source
Figure 1~2A
Figure 2B~3A
Figure 3B
AI summary
A stall detection system is provided that determines if a glass slide in motion during an automated process is at risk for being damaged and stops motion in the event of an unacceptable risk of damage. The system includes one or more motors configured to move a glass slide (directly or indirectly). The motors are configured to generate a load resistance value. The system includes one or more processors that monitor the load resistance value of a motor during motion and compares the load resistance value to a predetermined threshold resistance value to determine the risk of a glass slide being damaged. The predetermined threshold resistance value may correspond to a risk of slide breakage in response to a force applied to any surface of the slide, or a risk of losing a controlling grip on a slide rack, or a risk of a motor skipping a motor step.