Dynamic energy-saving method and system of intelligent terminal

Abstract

The invention provides a dynamic energy-saving method and system of an intelligent terminal. The dynamic energy-saving method comprises the steps of recording, in which application information of the intelligent terminal is recorded, wherein the application information comprises a sub-module state of the intelligent terminal and an application state of each application; processing, in which each state and each measure are defined with an evaluation function, real-time evaluation is performed on a current state and an energy-saving measure by the evaluation function, and a long-term running average performance evaluation index is set by the evaluation function, wherein the evaluation function comprises system power consumption and user application feeling score; estimation, in which the gradient information of the long-term running average performance evaluation index is estimated; and updating, in which a power supply strategy parameter is dynamically adjusted by the gradient information to achieve dynamic management on a power supply. The dynamic energy-saving method has the beneficial effects that real-time adaptive adjustment of a power supply management strategy of the intelligent terminal based on a usage habit of a user is achieved, and individual dynamic power management of the intelligent terminal is finally achieved.

Description

technical field [0001] The present invention relates to the technical field of power management, in particular to a dynamic energy-saving method and system for an intelligent terminal. Background technique [0002] In daily life, smart phones have become an indispensable commodity in people's daily life. With the rapid development of electronics and semiconductor technology, mobile phones are becoming more and more intelligent. The functions of mobile phones are becoming more and more abundant, the screen is getting bigger and bigger, and the degree of intelligence is getting higher and higher. Advanced wireless communication technologies such as 3G, Wi-Fi, Bluetooth, etc. are widely used in smart phones, which greatly increase the ability of mobile phones to Mobile power needs. [0003] In addition, smart phones have integrated a large number of sensors, such as accelerometers and GPS, which have been integrated into many mobile phones, which further intensifies the deman...

AI Technical Summary

Problems solved by technology

[0008] The switching time in the existing overtime technology is artificially set based on experience. If the time is set too small, it will cause frequent switching and more power consumption; if the time is set too large, it will not be able to effectively save energy. Much energy is spent in idle time

Predictive management technology methods usually use nonlinear decay equations to predict the length of the next idle time, once wrongly predicted, it may lead to system performance degradation and battery waste

Patent (CN 103576818B) is an empirical predictive power management method. Patent (CN102811289B) judges whether the power saving mode is enabled by counting commonly used applications within a certain period of time. Patent (CN 102915106 A) judges based on the use of hardware Energy-saving mode, these patents require users to get used to a strong periodicity, if the periodicity is not obvious, it may bring poor experience to users

Apple's new patent mainly manages power by predicting users' future usage intentions. The analysis of user usage behavior may require cloud computing due to the large amount of calculations, so users will worry about personal privacy leaks.

In addition, because the behavioral intention analysis module needs to analyze the user's behavioral intention in real time, it will increase the power consumption of the mobile phone battery

Although Apple's new patent focuses on the influence of users' usage intentions, usage habits seem to be less involved. In addition, there may be a risk of leakage of users' personal privacy.

[0009] To sum up, the existing battery energy-saving technology needs to be further improved and perfected. Most power management technologies ignore the potentially uncertain usage habits of different users. Recent studies have found that different mobile phone users have different behaviors in using mobile phones. the same

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