Mobile Device Power Control via Usage Pattern Learning
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Solution Overview
Problem
Current wireless handheld mobile communication devices are difficult to program for power control, requiring manual entry of on and off times and necessitating manual activation and deactivation from sleep mode, which is inconvenient for users.
Innovation Solution
A system and method that uses a power application on a handheld mobile communication device to monitor activation cycles, store activation data, and identify new activation patterns, adjusting power modes based on usage patterns and day of the week, utilizing sensors and an accelerometer to determine activation boundaries and adjust power modes automatically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If manual power control programming is implemented, then power consumption is reduced, but ease of operation deteriorates
Solution Approach 1:
The device automatically monitors its own usage patterns and determines optimal sleep mode timing without requiring user programming. The system self-adjusts power control parameters based on detected usage behavior, eliminating the need for manual configuration while maintaining energy efficiency.
Solution Approach 2:
The system continuously monitors usage patterns and feeds this information back to automatically adjust power control decisions. By detecting when the device is actively used versus when it is idle, the system dynamically modifies its power state transitions to optimize both energy consumption and operational responsiveness.
2Use of energy by moving object
If automatic sleep mode activation is implemented, then power consumption is reduced, but adaptability deteriorates
Solution Approach 1:
The system dynamically adjusts its sleep mode activation criteria based on learned usage patterns. Rather than using fixed time-based thresholds, the adaptability mechanism continuously refines when to transition to sleep mode based on actual device usage behavior, allowing the system to adapt to changing user needs while maintaining power efficiency.
Solution Approach 2:
The device automatically learns and adapts to user usage patterns without requiring manual reprogramming. The system monitors its own operational history and self-adjusts its sleep mode activation parameters to match actual usage behaviors, providing both energy efficiency and adaptability simultaneously.
3Device complexity
If fixed time-based power control is implemented, then device complexity is reduced, but productivity deteriorates
Solution Approach 1:
The device automatically determines optimal power control timing based on its own usage patterns rather than requiring complex user programming. This self-service approach maintains simple device architecture while improving productivity by ensuring the device remains accessible during actual usage periods and enters sleep mode during genuine idle periods.
Solution Approach 2:
The system uses usage pattern feedback to dynamically adjust power control decisions, eliminating the need for complex fixed scheduling configurations. This feedback-driven approach simplifies device complexity while enhancing productivity by aligning power states with actual usage needs.
Data Source
AI summary
The invention provides a system and method for controlling operation of a communication device. The communication device comprises: a casing for housing a display and a keyboard; and a microprocessor controlling aspects of the keyboard and display. The invention provides a power application operating on the microprocessor. The application monitors activation cycles of the device, stores activation data related to the activation cycles and identifies a new activation cycle for the device utilizing an activation pattern derived from the activation data.