Terminal Device Power Saving Control via Activity Prediction
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Solution Overview
Problem
Current power saving modes in terminal devices are either user-initiated or time-based, leading to inefficiencies in predicting and optimizing power usage, resulting in suboptimal power conservation.
Innovation Solution
A method that monitors user activity in the current and previous time periods to predict the probability of device usage, enabling a power saving mode when the probability is below a threshold, thereby optimizing power consumption by calibrating activity patterns and reducing errors in prediction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If power saving mode is enabled based on simple time-based or user-initiated methods, then power consumption is reduced, but the accuracy of predicting user usage patterns deteriorates leading to suboptimal power conservation
Solution Approach 1:
The system continuously monitors user interaction patterns with the terminal device and uses this feedback to dynamically adjust power saving strategies. By collecting data on when and how users interact with the device, the system refines its prediction model to accurately anticipate future usage patterns, thereby optimizing power consumption without compromising user experience.
Solution Approach 2:
The system performs preliminary analysis of user behavior patterns to predict future usage before actually entering power saving mode. By pre-processing interaction data and identifying usage trends in advance, the system can make informed decisions about when to activate power saving measures, ensuring both energy efficiency and accurate prediction of user needs.
2Use of energy by moving object
If the terminal device enters power saving mode automatically after a period of inactivity, then power consumption is reduced, but the responsiveness to user interactions deteriorates
Solution Approach 1:
The system dynamically adjusts the power saving state based on real-time detection of user interactions. Instead of using fixed time-based thresholds, the system continuously monitors for user activities and adaptively transitions between active and power saving modes, ensuring both energy efficiency and rapid responsiveness when users actually interact with the device.
Solution Approach 2:
The terminal device autonomously monitors its own usage patterns and automatically adjusts its power state without requiring user intervention. The system self-regulates by detecting interaction patterns and making real-time decisions about when to enter or exit power saving mode, optimizing both power consumption and responsiveness independently.
Data Source
AI summary
A method for power saving control and related products are provided. The method includes the following. A terminal device is monitored to determine a first activity content of a user in a current time period, and a second activity content of the user based on a previous time period is obtained. According to the first activity content and the second activity content, a first probability that the terminal device is to be used by the user in the current time period is determined. A power saving mode is enabled in response to the first probability being less than a first threshold.