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Cruising model establishing method and device and computer readable storage medium

A technology for model building and battery life, applied in the field of mobile communications, which can solve problems such as failure to consider user usage scenarios, reducing the accuracy of device battery life estimates, and poor user experience.

Pending Publication Date: 2021-03-12
NUBIA TECHNOLOGY CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the battery life models obtained by the above two test schemes are not close to the usage scenarios of real users. For example, how long do users use WeChat, Taobao, games, etc. in a day in reality, and what types of interfaces of the above applications are used for how long? time, etc., are ignored by the above two test scenarios
Therefore, since most of the battery life tests in the existing technology are compared with the preset fixed duration and fixed objects, without considering the real usage scenarios of the users, the battery life model does not fit the real usage conditions of the users. Reduced the accuracy of device life estimation and poor user experience

Method used

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  • Cruising model establishing method and device and computer readable storage medium
  • Cruising model establishing method and device and computer readable storage medium
  • Cruising model establishing method and device and computer readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0074] image 3 It is a flow chart of the first embodiment of the endurance model establishment method of the present invention. A method for establishing a battery life model, the method comprising:

[0075] S1. Within the preset monitoring time, collect battery life data for all applications in the device, wherein the battery life data includes the running data of the active items of the applications and the power consumption data corresponding to the running data ;

[0076] S2. Within a preset statistical period, calculate the average usage data of each of the application programs according to the battery life data, wherein the average usage data includes the average usage time data and the average power consumption of each of the application programs data;

[0077] S3. Obtain a battery life model of the device according to the average usage time data and the average usage power data;

[0078] S4. Calculate and display the current battery life of the device according to...

Embodiment 2

[0087] Figure 4 It is a flow chart of the second embodiment of the battery life model establishment method of the present invention. Based on the above embodiment, the battery life data of all applications in the device are collected within the preset monitoring time, wherein the battery life data includes all Before the operation data of the activity item of the above-mentioned application program and the power consumption data corresponding to the operation data, it includes:

[0088] S01. Preset a start condition and an end condition of the monitoring time, wherein the start condition is a start signal for the application program to start running, and the end condition is a stop signal for the application program to stop running;

[0089] S02. Determine a function, interface or interaction in the application that needs to be monitored, and use the function, interface or interaction as the activity item.

[0090] Optionally, in this embodiment, as described in the above ex...

Embodiment 3

[0095] Figure 5 It is a flow chart of the third embodiment of the battery life model establishment method of the present invention. Based on the above embodiment, the battery life data of all applications in the device are collected within the preset monitoring time, wherein the battery life data includes all The operation data of the activity item of the above-mentioned application program, and the power consumption data corresponding to the operation data, including:

[0096] S11. When the activation signal of the application program is detected, start to execute the collection operation of the battery life data of the application program;

[0097] S12. Record the start time, start power, end time and end power of each activity item.

[0098] Optionally, in this embodiment, within a preset monitoring time, for example, within ten days, data such as the usage time of the big data server App, power loss, etc. are reported every day;

[0099] Optionally, in this embodiment, ...

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Abstract

The invention discloses an endurance model building method and device and a computer readable storage medium, and the method comprises the steps: carrying out the statistics of the average use data ofeach application program in a preset statistical period according to endurance data, wherein the average use data comprises average use time data and average power consumption data of each application program; obtaining an endurance model of the equipment according to the average use time data and the average power consumption data; and finally, calculating and displaying the current endurance ofthe equipment according to the endurance model and the current state of the equipment. According to the method, a humanized endurance model establishment scheme is realized, so that the endurance model based on the user usage scenario is more accurate, the endurance data better fits the usage habit of the user, and the accuracy and timeliness of endurance electric quantity estimation by the endurance model are improved.

Description

technical field [0001] The present invention relates to the field of mobile communication, in particular to a method, device and computer-readable storage medium for establishing a battery life model. Background technique [0002] In the existing technology, with the continuous development of smart terminal devices, the power of smart terminal devices is an important concern of users, and in order to accurately estimate the power of the device, generally through the device itself or the R & D personnel of the device manufacturer Carry out battery life test. Battery life test is generally divided into manual test and automated test. Among them, manual test is to manually simulate real users and operate a large number of repeated operations to record the start and stop power of the terminal. Most of the automated tests will use automated test scripts to simulate manual operations. Automatic collection of starting and stopping power. However, the battery life models obtained b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06Q10/04G06F119/06
CPCG06Q10/04G06F30/20G06F2119/06
Inventor 李坤宁
Owner NUBIA TECHNOLOGY CO LTD