Smart Scenario Model for Automatic Performance Parameter Adjustment
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Solution Overview
Problem
Users face inaccuracies and inflexibility in adjusting hardware parameters of electronic devices due to manual switching of performance modes, leading to suboptimal usage and poor user experience.
Innovation Solution
A processing method that involves a first processing unit obtaining monitoring data from a sensing unit and an intelligent engine to determine the application scenario of an electronic device, using a smart scenario model to adjust target parameters of a target processing unit accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users manually switch performance modes to adjust hardware parameters, then the electronic device can provide different performance levels for different usage requirements, but the parameter adjustment becomes inaccurate and inflexible
Solution Approach 1:
The system automatically determines application scenarios and adjusts performance parameters without user intervention. The first processing unit obtains monitoring data from sensing units and intelligent engines, matches it with a smart scenario model to determine the current application scenario, and automatically adjusts target parameters of processing units accordingly, eliminating manual switching operations
Solution Approach 2:
The system continuously monitors hardware parameters through sensing units and program information through intelligent engines, compares actual state with expected states in the smart scenario model, and dynamically adjusts performance parameters based on the determined application scenario, creating a closed-loop control system that improves both accuracy and adaptability
2Adaptability or versatility
If users manually switch performance modes, then the electronic device can adjust hardware parameters, but the adjustment process becomes complex and time-consuming
Solution Approach 1:
The system pre-establishes a smart scenario model containing multiple application scenarios and their corresponding optimal parameter configurations. When determining the current application scenario, the system directly retrieves and applies the pre-configured parameters, eliminating the need for users to manually search and select appropriate performance modes, thus reducing adjustment time while maintaining adaptability
3Ease of operation
If manual performance mode switching is used, then users can control hardware parameters, but the user experience deteriorates due to inaccuracies and inflexibility
Solution Approach 1:
The system replaces the mechanical manual switching operation with an intelligent automated system. The first processing unit uses monitoring data from sensing units and intelligent engines, processes it through a smart scenario model to determine application scenarios, and automatically adjusts performance parameters, substituting user manual control with intelligent automated control that provides more accurate and reliable results
Data Source
AI summary
A processing method includes: obtaining, by a first processing unit, a first monitoring data from a first sensing unit, the first sensing unit monitoring a target parameter provided by a power supply to a target processing unit, and the target parameter representing performance of the target processing unit in a running state; obtaining, by the first processing unit, a second monitoring data from an intelligent engine, the intelligent engine in the running state managing a currently running target program; matching, by the first processing unit, the first monitoring data and the second monitoring data with a smart scenario model to determine an application scenario of an electronic device; and adjusting, by the first processing unit, the target parameter of the target processing unit based on the application scenario.