Pump Control Processor for Stable Plasma Fields
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Solution Overview
Problem
Current fluid management pump systems in surgical procedures face challenges in maintaining stable plasma fields and efficient fluid flow rates, particularly during endoscopic and arthroscopic surgeries, due to variations in surgical site conditions and unrecognized surgical devices, which can lead to instability and inefficiency.
Innovation Solution
The system employs a pump control processor that calculates pressure loss coefficients and adjusts inflow and outflow rates using algorithms and real-time feedback from surgical devices, maintaining constant joint pressure and optimizing fluid flow based on identified or unidentified hardware configurations, and dynamically controls suction rates to stabilize plasma fields.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the pump operates at high flow rates to efficiently remove debris and expand surgical view, then productivity is improved, but plasma field stability deteriorates
Solution Approach 1:
The pump system dynamically adjusts flow rates based on real-time plasma field conditions. The controller monitors plasma stability parameters and modulates pump operation between high-flow modes (for productivity) and stability-maintenance modes, creating a dynamic balance between removing debris and maintaining plasma field integrity.
Solution Approach 2:
The system incorporates feedback mechanisms where sensors monitor plasma field conditions and feed this information to the controller. The controller then adjusts pump flow rates accordingly, creating a closed-loop system that automatically balances productivity with plasma field stability maintenance.
2Stability of the object's composition
If the pump dynamically adjusts flow rates to stabilize plasma field, then plasma field stability is improved, but device complexity increases
Solution Approach 1:
The controller serves multiple functions: it monitors plasma field conditions, calculates appropriate flow rates, controls pump operation, and adjusts system parameters. By consolidating these functions into a single multi-functional control unit, the system achieves plasma field stability without proportionally increasing overall device complexity.
3Adaptability or versatility
If the system uses algorithms to calculate pressure loss coefficients for unrecognized devices, then adaptability is improved, but measurement precision deteriorates
Solution Approach 1:
The system performs preliminary calculations of pressure loss coefficients based on algorithmic models before actual surgical operation. These pre-calculated values serve as baseline parameters that can be adjusted during operation, allowing the system to adapt to unrecognized devices while maintaining acceptable measurement precision through continuous refinement.
Solution Approach 2:
The system dynamically changes pressure loss parameters based on real-time monitoring of actual system behavior. When unrecognized devices are detected, the controller adjusts calculated pressure loss coefficients by modifying algorithmic parameters to match actual observed conditions, thereby improving adaptability while maintaining precision through data-driven parameter adjustment.
Data Source
AI summary
A pump and a pump controller which uses an algorithm to quickly achieve and maintain a stable plasma field in a surgical site are provided. The algorithm calculates an electrical characteristic value to determine if a suction rate by the pump should be increased or decreased to achieve the stable plasma field. A method of using the pump and the pump controller is also provided.