Power Usage Anomaly Detection via Component Parameter Segmentation
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Solution Overview
Problem
Existing electronic devices lack effective methods to accurately detect and monitor power usage across various components and applications, leading to inefficiencies and potential battery drain issues.
Innovation Solution
A power detecting system within an electronic device comprising an obtaining module to collect parameters, a determination module to assess power usage differences and component weights, and a recording module to generate reports, utilizing a method that divides time into periods to identify normal or abnormal power usage and accounts for specific application runs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If power usage threshold monitoring is implemented, then battery management capability is improved, but measurement precision of power usage is insufficient
Solution Approach 1:
The patent segments power usage monitoring into multiple dimensions: different components (CPU, GPU, display, etc.), different time periods, and different applications. By dividing the monitoring system into these segments, it achieves more precise measurement of power consumption patterns while maintaining comprehensive battery management capability.
Solution Approach 2:
The patent introduces additional dimensions for power usage analysis beyond simple threshold monitoring. It adds temporal dimensions (time periods, duration), component dimensions (specific hardware components), and application dimensions (software applications) to create a multi-dimensional power usage profile that significantly improves measurement precision.
2Measurement precision
If comprehensive component parameters are collected, then power usage analysis accuracy is improved, but device complexity increases
Solution Approach 1:
The system segments the complex monitoring task into manageable modules: an obtaining module for collecting parameters, a determination module for analyzing power usage, and a recording module for storing results. This modular segmentation reduces system complexity while maintaining comprehensive monitoring capability.
Solution Approach 2:
The patent introduces intermediary processing layers that aggregate and process raw component parameters before final analysis. These intermediaries (such as component weight coefficients and time period aggregations) simplify the relationship between numerous input parameters and the final power usage determination, reducing overall system complexity.
Data Source
AI summary
In a method for detecting power usages of an electronic device, parameters of components of the electronic device and a power usage of the electronic device are obtained within a predetermined Nth period. The electronic device determines if the power usage of the electronic device is normal according to the parameters of components of the electronic device within the Nth period. The electronic device records information of applications which run in the electronic device within the Nth period when the power usage of the electronic device is abnormal.


