Intelligent terminal energy saving method and device based on ai prediction

The method of claim. 3, wherein the predicting and classifying the frequency of using the application in the future comprises:

• predicting a time T when a user uses the APP in the foreground again next time according to the user habit of using the APP and the current scenario;
• if T>T1, classifying the APP into Class 1 which indicates to be rarely used in the future;
• or otherwise;
• if T>T2, classifying the APP into Class 2 which indicates to be occasionally used in the future;
• or otherwise;
• if T>T3, classifying the APP into Class 3 which indicates to be normally used in the future;
• or otherwise;
• and
• classifying the APP into Class 4 which indicates to be frequently used in the future, where T1, T2, and T3 are preset time criteria, and T1>T2>T3>0.

A device based on artificial intelligence (AI) prediction, the device comprising:

• a data collection module, a data analysis module, and a decision execution module,
• wherein the data collection module is configured to collect application (APP)-related operation data on a terminal,
• wherein the data analysis module is configured to carry out Al analysis on the APP-related operation data collected by the data collection module, to predict timing and a restriction measurement to restrict an APP in a background, and send a corresponding command to the decision execution module, and
• wherein the decision execution module is configured to receive the command sent from the data analysis module, and adopt the restriction measurement to restrict the APP in the background at the timing predicted.