Multi-Module Sample Analysis With Barcode-Based Vessel Routing
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Solution Overview
Problem
Existing sample analysis systems require manual-assisted dispatching when samples are loaded into incorrect channels, leading to inefficiencies in sample testing.
Innovation Solution
A sample analysis system with multiple analysis modules, each equipped with independent feeding and dispatching mechanisms, and a transit mechanism for inter-module sample transfer, allowing automatic dispatching between modules without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple sample feeding mechanisms are provided to improve test throughput, then sample test efficiency is improved, but the risk of samples being loaded in wrong channels increases
Solution Approach 1:
The system implements a recognition mechanism that identifies sample vessel barcodes and matches them with required test channels. The dispatching mechanism receives feedback from the recognition module to automatically adjust sample routing, ensuring samples are directed to correct channels even when multiple feeding mechanisms are present.
Solution Approach 2:
The dispatching mechanism autonomously corrects routing errors by recognizing sample identifiers and automatically redirecting samples to appropriate channels without manual intervention. The system self-corrects loading errors through automated identification and rerouting capabilities.
2Reliability
If manual-assisted dispatching is used to correct sample loading errors, then sample routing accuracy is improved, but test efficiency deteriorates
Solution Approach 1:
The dispatching mechanism automatically identifies routing errors through barcode recognition and self-corrects by redirecting samples to proper channels. This eliminates the need for manual intervention while maintaining high routing accuracy, thus preserving test efficiency.
Solution Approach 2:
The system replaces manual mechanical dispatching operations with an automated recognition and control system. Barcode scanners and control algorithms substitute human operators, enabling error correction without manual intervention and maintaining continuous automated operation.
3Adaptability or versatility
If samples are dispatched between analysis modules, then test versatility is improved, but system complexity increases
Solution Approach 1:
The transit mechanism serves multiple functions: it transports sample vessels between different analysis modules, provides buffering capacity, and enables flexible sample routing. This single component handles various operational scenarios including inter-module sample transfer and temporary storage, reducing the need for separate dedicated mechanisms.
Solution Approach 2:
The transit mechanism acts as an intermediary between multiple analysis modules, providing a centralized hub for sample transfer. This mediator approach simplifies the overall system architecture by creating a standard interface for inter-module communication rather than requiring direct point-to-point connections between all modules.
Data Source
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AI summary
Provided is a sample analysis system. The sample analysis system includes a first analysis module, a second analysis module and a transit mechanism. The first analysis module includes a first dispatching component and a first test component. The second analysis module includes a second dispatching component and a second test component. The transit mechanism is formed with a transit area, wherein the second dispatching mechanism is further configured to dispatch first and/or second sample vessels between the transit area and the second analysis module, and the first dispatching mechanism is further configured to dispatch first and/or second sample vessels between the first analysis module and the transit area.