Bioprocess Purification Event Reconstruction With Synchronized Sensor Data
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Solution Overview
Problem
Current bioprocess purification systems lack the ability to effectively link chromatography instrument data with chromatogram results, both during and after process runs, making it difficult for users to reconstruct hardware states and predict future events.
Innovation Solution
The system records and stores additional information about hardware states and sensor readings during both method and non-method times, allowing users to reconstruct past events and simulate future events by synchronizing this data with chromatogram information, enabling users to analyze and predict outcomes based on current process states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If additional information about hardware states and sensor readings is recorded and stored during process runs, then the ability to reconstruct past events and simulate future events is improved, but the device complexity and data storage requirements increase
Solution Approach 1:
The system performs preliminary actions by recording and storing hardware state information and sensor readings during process runs before analysis is needed. This advance data collection enables subsequent reconstruction of past events and simulation of future events without requiring additional complexity during the analysis phase.
Solution Approach 2:
The system creates copies of hardware state information and sensor readings during process execution. These data copies are stored and can be accessed later for event reconstruction and simulation, allowing the original hardware to continue operating without being affected by the data collection process.
2Loss of information
If hardware state data and chromatogram data are synchronized, then user understanding and control of the process is enhanced, but the processing time and computational requirements increase
Solution Approach 1:
The system performs preliminary synchronization of hardware state data with chromatogram data during the process run itself. By establishing this correspondence in advance, the system enables rapid retrieval and analysis of correlated information later without requiring time-consuming processing during critical analysis phases.
3Loss of information
If the system records data during both method and non-method times, then the completeness of process reconstruction is improved, but the quantity of data to be processed increases
Solution Approach 1:
The system applies local quality by recording detailed hardware state information specifically during non-method time periods when such data is most valuable for reconstruction, while maintaining standard recording during method time. This targeted approach ensures complete process reconstruction without uniformly increasing data volume across all process phases.
Data Source
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AI summary
The present invention relates to a method for reconstructing events related to a process run in a bioprocess purification system comprising hardware configured to control the events related to the purification of a liquid containing a sample in the bioprocess purification system. The method comprising:recording hardware state S11 related to the process run; recording readings from sensors S12 related to the process run; and synchronizing hardware state S13 with readings from sensors to link the hardware state with the result from the process run. The present invention also related to a method for simulating future events related to a process run in a bioprocess purification system comprising hardware configured to control the events related to the purification of a liquid containing a sample in the bioprocess purification system. The events are controlled by a number of instructions executed consecutively and the method comprising:establishing a current state S21of the process run;assessing an outcome S23 of each non-executed instructions based on information stored in a data storage medium; and predicting future events S24 based on the current state of the process run and the assessed outcome of the non-executed instructions.