Pipeline Scheduling Configuration for Flexible Sample Processing
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Solution Overview
Problem
Conventional pipeline control terminals in medical laboratory testing lack intelligence in scheduling strategies, failing to meet user requirements for efficient and flexible sample processing.
Innovation Solution
A method and apparatus for configuring a pipeline scheduling strategy that includes determining processing content and target samples, allowing for flexible configuration of processing functions and orders, and integrating a pipeline control terminal with a memory and processor to execute these strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional scheduling strategies (priority scheduling and load balancing scheduling) are used, then basic scheduling functions are achieved, but intelligent scheduling requirements cannot be satisfied
Solution Approach 1:
The scheduling strategy is transformed from static conventional approaches to a dynamic configuration system. Users can flexibly configure processing content and target samples according to different scenarios, making the scheduling strategy adaptable and intelligent while maintaining manageable complexity through a configurable framework.
Solution Approach 2:
The patent enables changing scheduling parameters (processing content and target samples) dynamically without altering the fundamental system structure. This allows intelligent scheduling adaptation to different requirements while keeping the base system relatively simple and maintainable.
2Adaptability or versatility
If fixed processing methods are used for all samples, then system simplicity is maintained, but flexible processing for different samples cannot be achieved
Solution Approach 1:
The scheduling strategy is segmented into two independent configurable elements: processing content and target samples. This segmentation allows flexible combination of different processing methods with different sample types, achieving versatility while keeping each individual configuration element simple and manageable.
Solution Approach 2:
The configurable scheduling strategy framework serves multiple functions - it can handle different sample types, apply different processing content, and adapt to various scheduling scenarios. This universal framework replaces multiple fixed processing methods, achieving flexibility without proportionally increasing complexity.
Data Source
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AI summary
This application relates to a method for configuring a pipeline scheduling strategy, a pipeline control terminal, and a pipeline system. The method includes: determining a processing content of a scheduling strategy; the processing content of the scheduling strategy including a target function determined from processing functions provided by a pipeline; determining a target sample applying the scheduling strategy; and configuring the scheduling strategy according to the processing content and the target sample, where the scheduling strategy is used to instruct a processing module with the target function on the pipeline to process the target sample. The method can flexibly specify different processing methods for different samples on the pipeline, thereby enhancing an intelligence level of pipeline scheduling.