Appliance, method and system for controlling the same, server and appliance controlling apparatus
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Solution Overview
Problem
Users face poor user experience due to the need for manual configuration of appliance parameters, which varies across different scenarios, leading to inefficiencies and increased complexity.
Innovation Solution
A method and system that provide a recommended parameter configuration list for appliances, using machine learning models to automatically configure parameters based on appliance identifiers, user inputs, and scenario data, eliminating the need for manual user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual parameter configuration is implemented for different scenarios, then the appliance can be customized to meet specific user needs, but the user experience deteriorates due to the complexity and time-consuming nature of manual configuration
Solution Approach 1:
The system enables self-service by allowing the appliance to automatically acquire and apply parameter configurations from the server based on scenario identification, eliminating the need for manual user configuration while maintaining adaptability to different usage scenarios
Solution Approach 2:
The server pre-configures parameter sets for different scenarios and stores them in the database. When the appliance needs parameters, it retrieves the pre-configured settings that match the current scenario, avoiding real-time manual configuration and improving operational ease
2Adaptability or versatility
If multiple parameters are configured for different scenarios, then the appliance functionality is enhanced, but the device complexity increases due to the number of parameters that need to be managed
Solution Approach 1:
The patent extracts the parameter management complexity from the appliance itself and relocates it to the server. The appliance only needs to request and apply parameters, while the server handles the complex tasks of storing, organizing, and providing the appropriate parameter configurations for different scenarios
3Extent of automation
If automated parameter configuration is implemented using machine learning models, then the appliance becomes more intelligent and user experience improves, but the system complexity increases due to the need for machine learning models and servers
Solution Approach 1:
The patent introduces a server as an intermediary between the appliance and the complex machine learning infrastructure. The server handles the heavy computational tasks of running machine learning models and generating parameter configurations, while the appliance simply communicates its needs and receives the configured parameters, thus achieving automation without burdening the appliance with complex system structures
Data Source
AI summary
An appliance, a method and system for controlling the same, a server, an appliance controlling apparatus are provided. The method for controlling an appliance includes: receiving a parameter acquiring request transmitted by the appliance or an appliance controlling apparatus, the parameter acquiring request including an identifier of the appliance; acquiring a recommended parameter configuration list corresponding to the identifier of the appliance according to the parameter acquiring request; and transmitting the recommended parameter configuration list to the appliance or the appliance controlling apparatus enables the appliance to run according to the recommended parameter configuration list or enable the appliance controlling apparatus to control running of the appliance according to the recommended parameter configuration list.