Dialysis Machine Servicing Indicator Based on Operating Hours
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Solution Overview
Problem
Dialysis machines often require regular servicing to ensure patient safety, but longer servicing intervals demanded for economic reasons can lead to device failure and increased costs due to unscheduled downtime, as existing systems fail to provide timely maintenance notifications.
Innovation Solution
A dialysis machine equipped with means to monitor elapsed time and operating hours, calculating a projected servicing interval and displaying servicing event schedule information to notify operators of upcoming maintenance needs, preventing both premature and unnecessary servicing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If servicing intervals are extended to reduce costs, then economic efficiency is improved, but the risk of device failure and unscheduled downtime increases
Solution Approach 1:
The system performs preliminary monitoring of operating hours and elapsed time, then provides advance notification of upcoming servicing needs before actual wear or failure occurs. This allows planned maintenance scheduling that prevents device failure while avoiding unnecessary early servicing.
Solution Approach 2:
The system continuously monitors operating parameters (accumulated hours, elapsed time) and provides feedback through the servicing event indicator. This feedback loop enables dynamic adjustment of maintenance timing based on actual usage patterns, optimizing the balance between cost efficiency and reliability.
2Reliability
If servicing is performed more frequently to ensure safety, then device reliability is improved, but economic efficiency deteriorates due to increased downtime
Solution Approach 1:
The system provides advance notification of servicing requirements, enabling operators to schedule maintenance during planned downtime rather than performing unscheduled interruptions. This preliminary warning allows production planning that minimizes productivity impact while ensuring safety.
Solution Approach 2:
The system autonomously tracks its own usage parameters and determines when servicing is needed, eliminating the need for conservative over-maintenance. This self-monitoring capability ensures safety-critical components are serviced at precisely the right time without human intervention or guesswork.
3Ease of operation
If fixed periodic servicing is implemented, then maintenance scheduling is simplified, but the precision of maintenance timing deteriorates
Solution Approach 1:
The system transitions from static fixed-interval scheduling to dynamic usage-based scheduling. It continuously adapts the servicing timeline based on actual operating hours and elapsed time, providing precise maintenance timing that responds to real usage patterns while remaining operationally simple through automated tracking.
Solution Approach 2:
The system changes the fundamental parameter for scheduling from fixed calendar time to usage-based metrics (operating hours and elapsed time). This parameter transformation enables precise determination of maintenance needs based on actual device wear and operational context.
Data Source
AI summary
A dialysis machine that monitors an elapsed time and a number of accumulated hours during a current servicing interval is disclosed. The machine executes a machine-servicing algorithm on at least the elapsed time and the accumulated operating hours to generate a projected servicing interval duration. A servicing event indicator displays servicing event schedule information based on the projected servicing interval duration. A transfusion pump, similarly equipped, is also provided.