Pipeline Control Terminal for Configurable Sample Scheduling
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Solution Overview
Problem
Conventional pipeline control terminals in medical laboratory testing lack the intelligence to satisfy user requirements for flexible and efficient scheduling of sample processing, particularly in managing diverse sample types and processing orders.
Innovation Solution
A pipeline system with a pipeline control terminal that allows for configuring a scheduling strategy by determining processing content and target samples, enabling intelligent scheduling through a user-friendly interface that supports flexible configuration of processing functions and orders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional pipeline control terminals are used, then the system structure is simple, but the intelligence level and flexibility of scheduling is insufficient
Solution Approach 1:
The pipeline control terminal implements dynamic scheduling strategies that can be configured and adjusted according to different sample types and processing requirements. The system allows users to define custom processing orders and priorities, enabling adaptive response to varying laboratory needs without requiring complete system redesign.
Solution Approach 2:
The scheduling system is divided into independent configurable modules that can be selectively applied to different sample types. Each module handles specific processing tasks separately, allowing flexible combination and configuration without increasing overall system complexity.
2Productivity
If manual scheduling is used, then the operation is simple, but the processing efficiency is low
Solution Approach 1:
The pipeline control terminal automatically executes scheduling decisions based on configured strategies, eliminating the need for manual intervention in routine tasks. The system self-manages sample processing sequences, resource allocation, and task coordination, significantly improving efficiency while reducing operational burden.
Solution Approach 2:
The system incorporates feedback mechanisms that monitor processing status and adjust scheduling dynamically. Real-time information about sample processing progress, resource availability, and task completion feeds back into the scheduler to optimize future decisions, improving efficiency through continuous adaptation.
3Adaptability or versatility
If a fixed processing order is used, then the system is easy to control, but it cannot satisfy diverse sample requirements
Solution Approach 1:
The scheduling system applies different processing orders and priorities to different sample types based on their specific requirements. Each sample type can have customized processing parameters while the overall system maintains unified control architecture, achieving diversity without proportionally increasing complexity.
Data Source
AI summary
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.


