Power Management System for Mobile Devices
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Mobile computing devices face significant battery life issues due to constant searching for service in areas without coverage, leading to power drain, and manual power-saving options are cumbersome for users.
Innovation Solution
Implementing a power management system that uses existing sensors and timers to automatically place mobile computing devices into power-saving modes when environmental conditions indicate inactivity or lack of signal, such as deactivating the 'searching for signal' mode after a predetermined period, and reactivating it when conditions change.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the mobile computing device continuously searches for signal, then signal availability is improved, but battery life deteriorates
Solution Approach 1:
The patent implements dynamic power management by transitioning the antenna between fully powered state and reduced power state based on environmental conditions. The system continuously monitors sensor data and adjusts the antenna power state accordingly, making the power consumption adaptive rather than static. This resolves the contradiction by allowing high power consumption only when necessary for signal acquisition while reducing power consumption when signal is available or device is inactive.
Solution Approach 2:
The patent changes the power state parameter of the antenna based on monitored environmental conditions. When sensors detect that the device has been inactive or no signal is available for a predetermined time, the system changes the antenna parameter from fully powered to reduced power state. This parameter change directly addresses the contradiction by adjusting power consumption levels based on actual operational needs.
2Duration of action of moving object
If manual power saving options are provided, then battery life is improved, but ease of operation deteriorates
Solution Approach 1:
The patent implements a self-service power management system that automatically monitors environmental conditions and adjusts antenna power state without requiring user intervention. The system uses sensor data to determine when to transition between power states, eliminating the need for manual user actions. This resolves the contradiction by making the system intelligent and autonomous in managing power consumption.
Solution Approach 2:
The patent incorporates feedback mechanisms where sensor data about device activity and environmental conditions is continuously monitored and fed back to the power management system. Based on this feedback, the system automatically adjusts the antenna power state. This closed-loop feedback system eliminates the need for manual power saving options while extending battery life through intelligent, condition-based power management.
3Duration of action of moving object
If the antenna enters reduced power state quickly, then battery life is improved, but reliability deteriorates due to short signal interruptions
Solution Approach 1:
The patent implements preliminary action by requiring that the device remain in fully powered state for a predetermined time period before transitioning to reduced power state. This preliminary duration ensures that brief signal interruptions do not trigger unnecessary power state transitions. The system waits for sustained inactivity or signal unavailability before reducing power, preventing premature transitions that would compromise signal search reliability.
Data Source
AI summary
The present disclosure relates to mobile computing devices and, more particularly, to environmentally aware mobile computing devices and methods of use. The method is implemented in a computer infrastructure which has computer executable code tangibly embodied on a computer readable storage medium having programming instructions operable to: place a mobile computing device into a power savings mode when a environmental condition is below a sensor threshold value for a predetermined time period; and place the mobile computing device into a powered up state when the environmental condition exceeds the sensor threshold value.


