Information Handling System Power State Adjustment via Device Velocity
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Solution Overview
Problem
Information handling systems face challenges in dynamically adjusting their power states based on the proximity and movement of communication-enabled portable devices, leading to inefficient power consumption and responsiveness.
Innovation Solution
A method that identifies a power configuration policy with configuration rules to adjust the power state of an information handling system based on the proximity, velocity, and acceleration of a communication-enabled portable device, using a receiver to manage power states and optimize performance and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the information handling system maintains a high power state to ensure responsiveness, then system responsiveness is improved, but power consumption increases
Solution Approach 1:
The system dynamically adjusts its power state based on real-time detection of portable device proximity and movement characteristics. The power state transitions between high and low states according to the detected velocity and acceleration patterns, allowing the system to optimize between responsiveness and power consumption based on actual usage conditions rather than maintaining a fixed state
Solution Approach 2:
The system uses feedback from proximity sensors and movement detection mechanisms to continuously monitor the portable device's presence and motion characteristics. This feedback loop enables the system to automatically adjust power states in response to detected patterns, such as rapid movement indicating a need for higher responsiveness versus slow movement allowing for power savings
2Device complexity
If the information handling system uses simple proximity detection to adjust power state, then device complexity is reduced, but adaptability to different movement patterns deteriorates
Solution Approach 1:
The power management system is segmented into multiple independent detection and decision modules. Each module handles specific aspects of movement detection (proximity, velocity, acceleration) and processes them separately before integrating decisions, which reduces overall system complexity while maintaining high adaptability to different movement patterns
Solution Approach 2:
The system changes multiple parameters simultaneously including proximity distance, velocity thresholds, and acceleration limits to detect and respond to different movement patterns. By monitoring and responding to changes in these parameters, the system achieves high adaptability without requiring complex algorithms, as each parameter can be independently tuned and processed
Data Source
AI summary
Setting a power state of an information handling system, including identifying a power configuration policy, the power configuration policy including configuration rules for setting the power state of the information handling system; identifying a first power state of the information handling system; identifying, at a first time period, a first proximity of a communication-enabled portable computing device with respect to the information handling system; determining that the first proximity of the communication-enabled portable computing device is greater than a threshold; determining a velocity of movement of the communication-enabled portable computing device with respect to a receiver in communication with the communication-enabled portable computing device; accessing the power configuration policy to identify a configuration rule based on the velocity of movement of the communication-enabled portable computing device; and applying the particular configuration rule to adjust the first power state of the information handling system to a second power state.