Component Activation Prediction for Power Management
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Solution Overview
Problem
Electronic devices face challenges in managing power consumption due to significant power usage by components, which can be mitigated by optimizing the activation states of these components based on predicted device activity, but existing methods often result in noticeable delays and inefficiencies.
Innovation Solution
A method and device that maintain device activity information to predict component activation states based on current data and historical patterns, allowing for proactive management of component power states to conserve energy without disrupting device operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If components are kept in a disabled or lower power state to reduce power consumption, then energy efficiency is improved, but device operation may be disrupted and delays occur when components need to be activated
Solution Approach 1:
The system performs preliminary actions by maintaining components in intermediate power states (standby or idle) based on predicted future activity patterns. Historical usage data is analyzed to anticipate when components will be needed, allowing the system to activate or maintain components in advance, thus reducing activation delays while still conserving energy compared to keeping all components continuously active.
2Use of energy by moving object
If components are kept in a disabled state to conserve power, then energy efficiency is improved, but device functionality and reliability are worsened
Solution Approach 1:
The system dynamically adjusts component power states based on real-time conditions and historical patterns. Instead of static disabled/enabled states, components transition between multiple power states (active, standby, idle) according to predicted usage patterns. This dynamic approach ensures components are available when needed (maintaining reliability) while minimizing power consumption during periods of low or no usage.
3Speed
If components are activated frequently to ensure immediate responsiveness, then device responsiveness is improved, but power consumption increases
Solution Approach 1:
The system performs preliminary activation of components based on predicted usage patterns derived from historical data. By analyzing past usage behavior, the system anticipates when components will be needed and maintains them in appropriate power states in advance, achieving immediate responsiveness only when actually needed while avoiding unnecessary activations that would waste energy.
4Reliability
If all components are kept active to ensure immediate device functionality, then device responsiveness and reliability are improved, but power consumption increases significantly
Solution Approach 1:
The system applies different power management strategies to different components based on their individual usage patterns and importance to device functionality. Critical components that require immediate responsiveness are maintained in higher power states, while less critical components are allowed to enter lower power states. This localized quality approach ensures overall device reliability while significantly reducing total power consumption compared to keeping all components continuously active.
Data Source
AI summary
A method and electronic device for activating components based on predicted device activity. The method and device include maintaining a set of device activity information storing data collected from components in the device. The device activity information may be maintained over a predetermined time period and may include times associated with the collected component data. The device activity information may include data regarding scheduled events. Device activity and the appropriate activation state of a component on the device may be predicted based on the current time, current data collected from components in the device and data in the device activity information.