Sample Output Path Control in Multi-Module Lab Pipelines
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Solution Overview
Problem
Efficiently managing sample output in large-scale medical laboratory pipelines with multiple output modules to ensure high success rates and efficiency is challenging due to dynamic experimental states and storage requirements.
Innovation Solution
A pipeline system with a control device that plans sample output paths based on a preset ratio and real-time experimental states, dynamically allocating samples to available modules, considering storage conditions, and adjusting paths to optimize output efficiency and success.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple sample output modules are equipped in large-sized pipelines to meet increasing test demand, then the test capacity and sample processing capability are improved, but the system complexity and difficulty in managing sample output paths increase
Solution Approach 1:
The patent divides the sample output management into multiple independent sample output modules (first sample output module, second sample output module, etc.), each capable of handling samples independently. The control device segments the path planning task by evaluating multiple possible paths and selecting the optimal one, thereby managing the complexity of handling increased test demand through modular architecture.
Solution Approach 2:
The control device dynamically evaluates the states of multiple sample output modules and adjusts the sample output path selection in real-time based on current system conditions. This dynamic path planning allows the system to adapt to changing states of output modules, maintaining optimal performance while managing the complexity introduced by multiple modules.
2Productivity
If multiple sample output modules are used to increase test demand capacity, then the sample processing capability is improved, but the difficulty in detecting and measuring experimental states and managing storage requirements increases
Solution Approach 1:
The control device continuously monitors and evaluates the states of multiple sample output modules (first sample output module state, second sample output module state, etc.) and uses this feedback information to dynamically adjust path planning. This feedback mechanism enables the system to automatically adapt to changing experimental states and storage conditions across multiple modules, simplifying the management complexity.
3Productivity
If dynamic path planning is implemented to optimize sample output, then the sample output efficiency and success rate are improved, but the computational complexity and control system complexity increase
Solution Approach 1:
The control device pre-evaluates multiple possible sample output paths and their associated states before making the final path selection. By performing preliminary evaluation of different paths (first sample output path, second sample output path, etc.) and their feasibility, the system optimizes the actual output operation, improving efficiency while managing computational complexity through structured evaluation.
Data Source
AI summary
A pipeline system and a method for controlling sample output. The pipeline system includes: one or more analysis modules, configured to test samples; at least two sample output modules, where each sample output module includes a mechanical arm; a track, configured to connect the sample output modules to the analysis modules; and a control device, configured to plan a plurality of sample output paths for the sample to be output, the plurality of sample output paths indicating a plurality of performable sample output modules, and determine a target sample output module from the plurality of performable sample output modules according to a preset sample output ratio and an experimental state of the at least two sample output modules and the plurality of sample output paths, and control the track to schedule the sample to be output to the target sample output module.