Sample Output Routing in Lab Pipelines Under Module State and Load
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Solution Overview
Problem
In large-scale medical laboratory pipelines with multiple sample output modules, ensuring efficient and high-success-rate sample output is challenging due to the complexity of managing numerous modules and their varying experimental states and loads.
Innovation Solution
A pipeline system with a control device that plans sample output paths considering a preset ratio and real-time experimental states, dynamically allocating samples to available modules, ensuring they are in an operational state and have sufficient storage capacity, thereby improving efficiency and success rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If numerous sample output modules are configured to meet increasing test demand, then the system's testing capacity is improved, but the complexity of managing these modules and ensuring efficient sample output worsens
Solution Approach 1:
The control device continuously monitors the operational states and load conditions of multiple sample output modules, using this feedback information to dynamically adjust sample allocation decisions. This real-time feedback mechanism enables the system to manage complex module configurations efficiently by making informed routing decisions based on current system state
Solution Approach 2:
The system employs dynamic sample allocation where the control device adjusts sample routing in real-time based on changing operational conditions of sample output modules. This dynamic approach allows the system to adapt to varying loads and operational states, maintaining efficiency despite the increased number of modules
2Speed
If samples are directed to sample output modules without checking their operational state, then the sample output speed is improved, but the sample output success rate deteriorates due to directing samples to non-operational modules
Solution Approach 1:
The control device performs preliminary checks of the operational states and load conditions of sample output modules before directing samples to them. This advance verification ensures that samples are only routed to functional modules with available capacity, preventing failed output attempts while maintaining efficient sample flow
3Ease of operation
If samples are allocated without considering the load of sample output modules, then the allocation simplicity is improved, but the overall sample output efficiency deteriorates due to overload conditions
Solution Approach 1:
The control device monitors the load conditions of sample output modules and uses this feedback to balance sample allocation. By continuously tracking module capacity and adjusting routing decisions accordingly, the system maintains efficient sample flow without overwhelming any single module, achieving load-balanced distribution
Data Source
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AI summary
Embodiments of the disclosure relates to 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, wherein the plurality of sample output paths indicate 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.