Dialysis Component Maintenance Tracking
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Solution Overview
Problem
Current dialysis machines lack an effective method to determine when specific electromechanical components need maintenance, leading to premature replacement of some components and delayed replacement of others, which can result in inefficiencies and increased costs.
Innovation Solution
A medical device system that includes a control unit to track the usage of electromechanical components, such as pumps, valves, and motors, by maintaining counts of actuations and run times, and providing maintenance alerts when these metrics exceed predetermined limits, allowing for more precise timing of component replacement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a uniform maintenance schedule based on overall system power-on hours is used, then maintenance can be performed regularly, but some components are replaced before needed while others are not replaced in time
Solution Approach 1:
The patent segments the overall system maintenance into individual component-level maintenance tracking. Instead of treating the dialysis machine as a single unit with uniform maintenance intervals, the system creates separate usage counters for each electromechanical component (pumps, valves, motors, actuators, solenoids, sensors). This allows each component to be monitored and maintained based on its specific usage patterns rather than a blanket schedule.
Solution Approach 2:
The patent implements dynamic maintenance scheduling by continuously updating component usage metrics during device operation. The system dynamically adjusts maintenance timing based on actual component wear indicators such as actuation counts, run time durations, and operational cycles. This replaces static, predetermined maintenance intervals with adaptive, usage-based scheduling that responds to real-time component conditions.
2Reliability
If components are replaced based on conservative estimates, then component failure is avoided, but unnecessary replacements increase cost and downtime
Solution Approach 1:
The patent implements feedback mechanisms that continuously monitor component usage and provide real-time information about component wear status. The system collects data on actuation counts, run times, and operational cycles, then uses this feedback to determine the optimal replacement timing. This eliminates the need for conservative over-replacement by providing accurate, data-driven insights into actual component condition and remaining useful life.
Solution Approach 2:
The patent performs preliminary maintenance actions by predicting component failure before it occurs based on accumulated usage data. The system analyzes usage patterns and wear indicators to proactively schedule maintenance at the optimal moment, replacing components just before they would fail rather than waiting for failure or replacing them too early. This preliminary action prevents both unexpected failures and unnecessary replacements.
3Measurement precision
If different maintenance intervals are used for different components, then maintenance precision is improved, but tracking and monitoring complexity increases
Solution Approach 1:
The patent implements a universal monitoring framework that handles multiple component types with different maintenance requirements through a single integrated system. The software platform provides multi-functional capabilities to track various electromechanical components (pumps, valves, motors, actuators, solenoids, sensors) using common data structures and analysis methods. This universal approach enables precise, component-specific maintenance tracking without requiring separate monitoring systems for each component type.
Solution Approach 2:
The patent introduces a software intermediary layer that manages the complexity of tracking multiple components with different maintenance intervals. This software acts as a mediator between the physical components and the maintenance decision-making process, automatically collecting usage data, calculating wear metrics, and determining replacement timing for each component. The intermediary handles the computational complexity, allowing the physical system to remain simple while achieving precise maintenance scheduling.
Data Source
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AI summary
A medical device includes a plurality of electromechanical components and a control unit, coupled to the electromechanical components, that actuates the electromechanical components. For each of the electromechanical components, the control unit maintains a count of a number of times a respective one of the electromechanical components is actuated and/or a run time duration of the respective one of the electromechanical components. The medical device also includes a table having observed values for each of the electromechanical components, where a maintenance alert is provided for at least one of the electromechanical components in response to the count and/or the run time for the at least one of the electromechanical components exceeding a corresponding maintenance limit for the electromechanical component. The maintenance limits are independent for different ones of the electromechanical components. The medical device may be a dialysis machine.