Bioprocess Sampling Control With a Virtual Analyzer
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Solution Overview
Problem
Existing bioprocess control systems face challenges in providing flexible and efficient measurement data due to the high complexity and cost of traditional sampling methods, particularly for small volumes, and the need for on-demand sampling with different analysis devices.
Innovation Solution
A bioprocess arrangement comprising a biocontainer, sampling, routing, and analysis systems, with a virtual analyzer and control layer that coordinates sample handling and analysis, allowing flexible integration of various devices without increasing system complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional sampling methods are used for bioprocess analysis, then measurement data can be obtained, but the system complexity and cost increase significantly
Solution Approach 1:
A virtual analyzer is introduced as an intermediary layer between the bioprocess control system and the physical analysis devices. The virtual analyzer receives measurement requests from the control system, translates them into device-specific commands, and returns results in a standardized format. This mediator approach allows the control system to interact with diverse analysis devices without direct integration complexity, resolving the contradiction between obtaining precise measurement data and maintaining simple system architecture.
2Reliability
If regular periodic sampling is implemented, then continuous monitoring is achieved, but the number of samples and analysis devices increases
Solution Approach 1:
The sampling frequency and analysis device selection are made dynamic rather than static. The virtual analyzer determines sampling rates and device allocation based on real-time process conditions, measurement priorities, and available resources. This dynamic approach enables continuous monitoring reliability while minimizing the actual number of samples taken and analysis devices required, as sampling intensity adapts to process needs rather than operating at constant maximum levels.
3Adaptability or versatility
If multiple analysis devices are deployed for different measurements, then measurement coverage is improved, but system integration complexity increases
Solution Approach 1:
The virtual analyzer is designed as a universal interface that can handle multiple types of analysis devices through standardized communication protocols. It provides a single point of contact for the control system while supporting diverse measurement capabilities behind the scenes. This multi-functional approach allows comprehensive measurement coverage across different parameters and devices without requiring the control system to integrate each device individually, thus maintaining low integration complexity while achieving high versatility.
Data Source
Figure 1
AI summary
The invention relates to a method of controlling a bioprocess arrangement (1) to provide measurement data to a bioprocess control system (3), wherein the bioprocess arrangement (1) comprises a biocontainer arrangement (2), a sampling arrangement (4), a routing arrangement (6) and an analysis arrangement (7). It is proposed that the bioprocess control system (3) sends a measurement request to the control layer (9), that the measurement request contains information about a requested measurement, that the measurement request is independent of routing and analysis behind the sampling arrangement (4), that the sampling arrangement (4) draws the sample and provides the sample to the routing arrangement (6), that the control layer (9) coordinates the provision of the sample to the analysis arrangement (7) via the routing arrangement (6), that the analysis arrangement (7) sends measurement data to the control layer (9), and, that the control layer (9) sends the measurement data to the bioprocess control system (3).