Mobile Device Power Management via Predictive Settings Adjustment
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Solution Overview
Problem
Mobile devices face challenges in managing battery power consumption efficiently, leading to frustration and potential life-threatening situations when batteries run out unexpectedly, as existing solutions require frequent user intervention and do not effectively predict future resource needs.
Innovation Solution
A system and method that develop and modify power consumption models based on device usage histories and current states to alert users or automatically adjust settings to conserve battery life, including predicting when a battery will fall below a threshold charge level and reducing usage accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the device operates with full functionality and settings, then user convenience and accessibility are improved, but battery power is consumed faster
Solution Approach 1:
The system dynamically adjusts device settings and functionality based on real-time battery state and predicted usage patterns. Instead of static configurations, the system continuously adapts operational parameters such as screen brightness, processor performance, and network activity to match current battery conditions and anticipated user needs, resolving the contradiction between maintaining user convenience and conserving battery power.
Solution Approach 2:
The system performs preliminary actions by predicting future battery depletion points and proactively adjusting settings before critical power levels are reached. It analyzes historical usage data to forecast when the battery will fall below threshold levels and pre-modifies operational parameters to extend battery life, preventing power exhaustion before it occurs rather than reacting after the fact.
2Loss of information
If the system frequently alerts users about battery status and suggests settings changes, then user awareness and control are improved, but user frustration increases due to frequent interruptions
Solution Approach 1:
The system implements intelligent feedback mechanisms that monitor battery state continuously and provide selective notifications to users. Rather than alerting users at every battery status change, the system analyzes patterns and only communicates when meaningful actions are needed, such as when predicted depletion approaches user-defined thresholds or when automated adjustments are about to occur, maintaining user awareness while minimizing unnecessary interruptions.
Solution Approach 2:
The system enables self-service by automatically adjusting device settings based on predicted battery depletion without requiring constant user intervention. It empowers users to define their preferences and thresholds once, then the system autonomously manages power consumption by modifying operational parameters, reducing the need for frequent user alerts and decisions while maintaining user control over the overall strategy.
3Duration of action of moving object
If the system automatically modifies device settings to conserve power, then battery life is extended, but device functionality and performance are reduced
Solution Approach 1:
The system dynamically balances power conservation with functionality preservation by continuously monitoring both battery state and active applications. When battery depletion is predicted, it selectively adjusts settings for non-critical functions while maintaining performance for high-priority applications identified through usage pattern analysis. This dynamic prioritization ensures that essential device functionality is preserved even as power consumption is reduced to extend battery life.
Solution Approach 2:
The system applies different power management strategies to different device functions and applications based on their importance and usage patterns. Rather than uniformly reducing all functionality, it identifies specific applications and features that should maintain full performance and applies conservative power management only to less critical functions, preserving local quality of experience where needed while achieving overall battery life extension.
Data Source
AI summary
Security is enhanced for a user of a mobile communications device by monitoring and controlling resource usage. First information associated with each of a plurality of mobile communications devices is collected, including configurations and settings for applications, components, resources and external resources for each mobile communications device. The collected information is used to identify an application, component, resource or external resource that is currently active on two of the mobile communications devices. Second information is transmitted to the first of the two mobile communications devices to reduce or terminate usage of the identified application, component, resource or external resource on the first mobile communications device.