Dialysis System Leakage Detection via Resource Deviation
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Solution Overview
Problem
Current dialysis systems lack reliable leakage detection capabilities, as they are typically hydraulically connected and manually programmed, making it difficult to detect system-wide leaks.
Innovation Solution
A method involving a control device that receives component operating data, determines expected resource consumption, monitors actual resource consumption, and detects deviations to identify leaks within a predetermined range, enabling system-wide leakage detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If individual component monitoring is used, then each component can be monitored separately, but system-wide leakage detection is not possible
Solution Approach 1:
The patent merges individual component monitoring data into a centralized control device that receives operating data from multiple components (dialysis machine, hot cleaning device, reverse osmosis device, concentrate mixing system) and processes it to detect system-wide leaks. This integration allows leakage detection across the entire hydraulic system rather than isolating individual components.
Solution Approach 2:
The control device continuously receives operating data from components, compares actual resource consumption against expected consumption based on demand data, and provides feedback by detecting deviations that indicate leaks. This closed-loop feedback mechanism enables reliable leakage detection by constantly monitoring the relationship between expected and actual resource usage across all components.
2Reliability
If manual programming is used, then system configuration is simple, but leakage detection capability is insufficient
Solution Approach 1:
The system performs self-monitoring and self-diagnosis by automatically collecting operating data from components, calculating expected resource consumption based on demand data, and detecting leaks without requiring manual intervention. The control device autonomously compares actual versus expected consumption and identifies anomalies, eliminating the need for manual leakage detection procedures.
Solution Approach 2:
The patent replaces manual programming and mechanical monitoring methods with an automated electronic system that uses data processing and computational algorithms to detect leaks. The control device electronically receives, processes, and analyzes operating data to identify leakage conditions, substituting manual operations with automated electronic control and measurement.
3Productivity
If hydraulic connection is used, then fluid transport is efficient, but leakage detection becomes difficult
Solution Approach 1:
The control device continuously monitors the hydraulic system by receiving operating data from all components and comparing actual resource consumption against expected consumption. This feedback mechanism enables the system to detect leaks in the hydraulic connections by identifying deviations in resource usage patterns, making leakage detection possible even within the efficient hydraulic transport system.
Solution Approach 2:
The control device acts as an intermediary between the hydraulic components and the leakage detection function. It receives operating data from components, processes the information, and identifies leakage conditions by analyzing deviations in resource consumption. This intermediary role enables leakage detection without interfering with the efficiency of the hydraulic fluid transport system.
Data Source
AI summary
A dialysis system includes a plurality of hydraulically connected components and a control device. A method of operating the dialysis system includes receiving component operating data from the components, the component operating data including at least demand data for an upcoming task to be performed by the respective component, determining an expected resource consumption of the component based on the demand data, monitoring of an actual resource consumption of the components, determining a deviation of the actual resource consumption from the expected resource consumption, and detecting a leakage in the dialysis system if the deviation is outside a predetermined range.