Medical Device Energy Saving Control via Predictive Usage Patterns
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Solution Overview
Problem
Existing energy-saving methods for medical devices, such as setting a fixed waiting time before entering sleep mode, are inefficient and can disrupt device usage, leading to increased power consumption.
Innovation Solution
A method and system for energy saving control of medical devices that involves obtaining historical operation data, predicting user operations, determining an energy-saving strategy based on current and predicted data, and implementing this strategy to control the medical device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If a fixed waiting time is set before entering sleep mode, then the device can automatically save energy, but the energy-saving efficiency is low and usage efficiency is affected
Solution Approach 1:
The system performs preliminary actions by predicting future user operations based on historical operation data before entering sleep mode. The prediction module analyzes historical patterns to forecast when users will likely need to use the device again, allowing the system to stay awake longer or wake up more quickly without wasting energy during predicted usage periods.
Solution Approach 2:
The system implements feedback by continuously monitoring actual user operations and comparing them with predicted operations. The feedback module adjusts the sleep strategy based on the accuracy of predictions and actual usage patterns, refining the prediction model over time to better anticipate user needs and optimize the balance between energy saving and usage efficiency.
2Loss of energy
If the device enters sleep mode to reduce power consumption, then energy is saved, but the time required to awaken the device is long
Solution Approach 1:
The system performs preliminary wake-up actions by predicting future usage times in advance. Instead of waiting for a fixed timeout to wake up, the system uses prediction results to wake up at optimized times that align with predicted user needs, reducing unnecessary wake-up delays while maintaining energy savings during truly idle periods.
Solution Approach 2:
The system makes the sleep and wake-up strategy dynamic by adjusting the sleep duration and wake-up timing based on real-time conditions and historical patterns. The system can extend sleep time when predictions indicate low probability of imminent usage and reduce sleep time when usage is predicted, creating a flexible, adaptive strategy that optimizes both energy saving and response time.
Data Source
AI summary
A method and system for energy saving control of a medical device are provided. The method for energy saving control includes obtaining first historical operation data for the medical device of a user; obtaining first predicted operation data by predicting, based on the first historical operation data, a user operation of the medical device, the first predicted operation data including a first predicted operation and a first predicted operation time corresponding to the first predicted operation; determining, based on the first predicted operation data and current operation data, an energy-saving strategy for controlling the medical device, the current operation data including a current operation and a current time; controlling the medical device to implement the energy-saving strategy.