Specimen Container Load Balancing Across Detection Instruments
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Solution Overview
Problem
Current automated detection systems for pathogenic microorganisms in biological fluids face inefficiencies in balancing the load of specimen containers across multiple detection apparatuses, leading to suboptimal processing times and temperature variations.
Innovation Solution
An automated system and method for load balancing specimen containers between multiple detection apparatuses, which involves determining the loading capacity and transfer status of each apparatus, and transferring containers based on available cell counts and capacity ratios to optimize distribution and reduce temperature variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If specimen containers are loaded into a single automated detection apparatus, then the apparatus can process samples, but the load becomes unbalanced causing suboptimal processing times and temperature variations
Solution Approach 1:
The system divides the detection workload across multiple automated detection apparatuses (first, second, and third apparatuses), each handling a portion of the specimen containers. This segmentation prevents any single apparatus from becoming overloaded, thereby maintaining optimal processing times and reducing temperature variations within each apparatus while collectively processing all samples efficiently
2Productivity
If multiple automated detection apparatuses are used, then load balancing can be achieved, but the system complexity increases
Solution Approach 1:
The system combines multiple automated detection apparatuses into a unified load-balancing architecture where containers can be dynamically transferred between apparatuses based on available capacity. The control system monitors loading ability and transfer status across all apparatuses, automatically routing specimens to optimize processing efficiency while managing the inherent complexity through centralized coordination
Solution Approach 2:
The system implements dynamic load balancing by continuously monitoring the loading ability and transfer status of each detection apparatus. Containers are transferred from apparatuses with high load to those with available capacity, allowing the system to adapt in real-time to changing conditions and maintain optimal performance across the distributed architecture
3Productivity
If containers are transferred between apparatuses, then distribution is optimized, but transfer time and coordination overhead increase
Solution Approach 1:
The system employs feedback mechanisms by continuously monitoring the loading ability and transfer status of each detection apparatus. This real-time information allows the control system to make informed decisions about when and where to transfer containers, optimizing resource utilization while minimizing unnecessary transfers that would consume time and coordination resources
Data Source
AI summary
The present invention is directed to a system and method for load balancing specimen containers between a plurality of automated detection apparatuses. The method may include receiving a specimen container at a container pick-up station in a first automated detection apparatus; determining loading ability, transfer status, and cell availability of the first automated detection apparatus and one or more downstream automated detection apparatuses; and transferring the specimen container from the first automated detection apparatus to a downstream automated detection apparatus when a first ratio of effective available cell count to effective capacity in the first automated detection apparatus is less than a second ratio of total effective available cell count to total effective capacity of a sum of the first automated detection apparatus and the one or more downstream automated detection apparatuses.