Surgical Control Loop Arbitration for Conflicting Data Streams
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Solution Overview
Problem
Surgical systems often face challenges in managing conflicting data streams from different control loops, which can lead to divergent measurements and compromise patient safety.
Innovation Solution
A processor-configured surgical system that determines diverging control loops by comparing multiple data streams and generates a control signal based on these streams, potentially selecting one over the other or combining them weightedly, to ensure accurate patient monitoring and intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple control loops are used to monitor patient parameters, then measurement coverage is improved, but data stream conflicts and system reliability deteriorate
Solution Approach 1:
A centralized arbitration system acts as an intermediary between multiple control loops, receiving data streams from different sources, evaluating their credibility, and selecting the most reliable data for control decisions. This mediator resolves conflicts without requiring changes to the individual control loops themselves.
Solution Approach 2:
The system implements feedback mechanisms where control loop performance is continuously monitored and evaluated. Data credibility assessments are fed back into the arbitration process, allowing the system to adaptively adjust which control loops are trusted under different conditions, improving overall reliability while maintaining multiple monitoring paths.
2Measurement precision
If multiple data streams are processed to resolve conflicts, then control accuracy is improved, but computational complexity increases
Solution Approach 1:
The arbitration system changes parameters such as data weighting factors, credibility thresholds, and selection criteria based on operating conditions. This allows the system to adjust its processing complexity dynamically - using simpler selection rules when conditions are stable and more complex analysis when conflicts arise, balancing accuracy with computational load.
Solution Approach 2:
Different levels of analysis are applied to different data streams based on their characteristics and criticality. Not all data streams undergo the same level of processing - some require detailed credibility assessment while others can be processed with simpler rules, reducing overall computational complexity while maintaining control accuracy where it matters most.
Data Source
AI summary
A surgical system may include a processor configured to make a determination between two seemingly accurate but conflicting data streams. The processor may be further configured to obtain a first data stream associated with a measurement. The first data stream may be associated with a first control loop of the surgical system. The processor may be further configured to obtain a second data stream associated with the measurement. The second data stream may be associated with a second control loop of the surgical system. The processor may be further configured to determine that the first control loop and the second control loop are diverging. The processor may be further configured to generate a control signal based on the first and second data streams.