Web Conference Battery Prediction Using Function-Based Power Estimation
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Solution Overview
Problem
Existing technologies fail to accurately predict power consumption during web conferences, leading to potential battery depletion issues during usage.
Innovation Solution
An electronic apparatus that acquires conference information, determines use functions and apparatuses, calculates predicted power consumption, and adjusts battery capacity accordingly, incorporating a controller, storage, and battery to manage power effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If generic conference information is used for power consumption prediction, then the prediction process is simple, but the prediction accuracy is low
Solution Approach 1:
The patent segments power consumption prediction into multiple components: base power consumption from the application itself, and additional power consumption from specific use functions (camera, microphone, speaker, screen sharing, background blur). This segmentation allows accurate prediction by summing individual components while keeping each component's determination relatively simple.
Solution Approach 2:
The patent performs preliminary determination of use functions and apparatuses based on conference information before calculating power consumption. The controller identifies which functions will be used during the conference in advance, then uses this information to calculate the predicted power consumption, enabling accurate prediction without complex real-time monitoring.
2Measurement precision
If detailed use function information is analyzed to improve prediction accuracy, then power consumption calculation becomes more accurate, but the processing complexity increases
Solution Approach 1:
The patent uses the conference information itself (which the user or system already provides for scheduling purposes) to automatically determine use functions. The system extracts application type, conference place, and participant information from the existing conference data, and uses these attributes to infer which functions will be used, eliminating the need for separate detection mechanisms.
Solution Approach 2:
The patent changes the approach from directly detecting physical usage of each function to inferring function usage from conference parameters (application type, location, participant count). By transforming the problem from physical detection to parameter-based inference, the system achieves accurate prediction without complex detection hardware or processes.
Data Source
AI summary
An electronic apparatus includes a controller, a storage, and a battery that supplies power to the controller and the storage. The controller acquires conference information related to a web conference. The conference information includes information for specifying an application used in the web conference, a date and time of the web conference, and information related to a conference place or a conference participant. The controller determines information related to a use function or a use apparatus used in the application of the web conference based on the acquired conference information, calculates predicted power consumption consumed in the web conference based on the determined information related to the use function or the use apparatus, and calculates a change in the remaining capacity of the battery based on the calculated predicted power consumption and remaining capacity of the battery.