Power Management Configuration Method for Dynamic Power Optimization
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Solution Overview
Problem
Conventional data processing systems lack a straightforward method to determine how configuration settings affect power usage, particularly for components like LCD displays, making it difficult for users to optimize battery life.
Innovation Solution
A power management configuration method that measures and estimates the impact of different system settings on power consumption, allowing users or software algorithms to select configurations that optimize battery life by comparing power usage across various settings, such as display themes, and providing users with informed options based on performance values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If system settings are configured to optimize performance, then productivity is improved, but power consumption increases reducing battery life
Solution Approach 1:
The system measures actual power consumption under different configuration settings and uses this feedback to determine performance values that reflect real power usage. This allows the system to adjust settings based on actual measured data rather than estimates, resolving the contradiction by providing accurate information about the performance-power consumption tradeoff.
Solution Approach 2:
The system changes configuration parameters (such as display themes, processor settings, memory allocation) and measures the resulting power consumption to determine performance values. By systematically varying parameters and measuring outcomes, the system can identify optimal settings that balance productivity and power consumption based on actual measurements.
2Duration of action of moving object
If power consumption is reduced to extend battery life, then duration of action is improved, but system performance deteriorates
Solution Approach 1:
The system measures actual power consumption under different configuration settings and uses this feedback to determine performance values that reflect real power usage. This allows the system to adjust settings based on actual measured data rather than estimates, resolving the contradiction by providing accurate information about the performance-power consumption tradeoff.
Solution Approach 2:
The system dynamically adjusts configuration settings based on measured power consumption and determined performance values. Rather than using fixed settings, the system can adaptively change parameters to optimize battery life while maintaining acceptable performance levels, resolving the contradiction through dynamic optimization.
3Illumination intensity
If display settings are configured for high visibility, then illumination intensity is improved, but power consumption increases
Solution Approach 1:
The system changes display configuration parameters (such as brightness, contrast, theme colors) and measures the resulting power consumption to determine performance values. By systematically varying parameters and measuring outcomes, the system can identify optimal settings that balance visibility and power consumption based on actual measurements.
Data Source
AI summary
A measurement circuit measures a first power consumption value corresponding to a first configuration of a component of a computing device and a second power consumption value corresponding to a second configuration of the component. A user interface module provides a the first power consumption value for the first configuration and the second power consumption value for the second configuration. A user selection indicating one of the first configuration and the second configuration is received and a configuration module implements the configuration indicated by the user selection in the component.