Specimen Container Load Balancing for Stable Microbial Detection
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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, which can impact the accuracy and speed of microbial growth detection.
Innovation Solution
An automated system and method for load balancing specimen containers between multiple detection apparatuses, involving a housing with holding and agitation structures, detection units, and a method that determines the loading capacity and transfer status of each apparatus to optimize container distribution based on available cell capacity and temperature control, ensuring efficient transfer and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If specimen containers are loaded into multiple automated detection apparatuses without load balancing, then the processing capacity is increased, but temperature variations and processing time inefficiencies occur
Solution Approach 1:
The system continuously monitors the loading status, temperature, and processing capacity of each detection apparatus, using this feedback information to dynamically determine the optimal destination for incoming specimen containers. The controller adjusts distribution decisions based on real-time system state to maintain temperature control accuracy while maximizing processing capacity.
Solution Approach 2:
The load balancing system dynamically adjusts the distribution of specimen containers based on changing system conditions such as current load, temperature stability, and processing speed of each apparatus. This dynamic adaptation allows the system to optimize both productivity and temperature control accuracy under varying operational conditions.
2Loss of time
If specimen containers are evenly distributed across multiple detection apparatuses, then processing time is reduced, but temperature variations increase
Solution Approach 1:
The system applies different distribution strategies to different detection apparatuses based on their local conditions. Instead of uniform distribution, each apparatus receives containers according to its specific loading capacity, temperature stability, and processing speed, allowing optimized performance for each local context while maintaining overall system efficiency.
3Productivity
If more specimen containers are processed simultaneously, then throughput is improved, but the accuracy of microbial growth detection decreases
Solution Approach 1:
The system monitors detection accuracy metrics and processing load in real-time, using this feedback to adjust the distribution of specimen containers. When detection accuracy begins to degrade due to excessive loading, the system automatically redistributes containers to maintain optimal detection conditions while preserving as much throughput as possible.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the overall efficiency of microbial detection by optimizing the distribution of specimen containers, reducing temperature variations, and improving the throughput of the detection process, thereby facilitating faster and more accurate identification of microbial agents.
Implementation Method 1
an optical detection unit in the incubator analyzes a colorimetric sensor incorporated into the bottle to detect whether microbial growth has occurred within the bottle
Implementation Method 2
one or more heating means to provide a heated enclosure or incubation chamber
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.