Central Server Mediates Appliance Parameter Sharing
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Solution Overview
Problem
Current domestic appliances have limited and rigid data sharing capabilities, requiring software changes at each appliance for data type, amount, or frequency adjustments, and users lack control over data usage and sharing, leading to inefficient operations and user frustration, especially when detecting environmental conditions that affect other appliances.
Innovation Solution
A method where a first domestic appliance sends parameter signals to a second appliance, with user-configurable data sharing through a pre-constructed table, allowing easy adjustment of data sharing settings and automatic operation of the second appliance based on received parameter values, including location updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data sharing is configured at each individual appliance, then data can be exchanged between appliances, but software changes are required at each appliance for any adjustments to data type, amount, or frequency
Solution Approach 1:
A central server acts as an intermediary between appliances, managing data sharing configurations centrally. The server receives data from appliances, processes it according to predefined rules, and distributes it to appropriate appliances without requiring software changes at each device. This resolves the contradiction by eliminating the need for individual appliance software modifications while maintaining flexible data sharing capabilities.
Solution Approach 2:
The central server provides universal data sharing functionality that serves multiple appliances simultaneously. Instead of configuring data sharing at each individual appliance, the server handles all data exchange operations for multiple devices, reducing complexity while maintaining versatility across different appliance types and configurations.
2Productivity
If appliances share data automatically, then operational efficiency improves, but users have little control over how data is used or shared
Solution Approach 1:
Users configure data sharing preferences and rules in advance through a user-friendly interface before appliances operate. The central server stores these predefined rules and automatically applies them during data exchange operations. This allows users to maintain control over data sharing while enjoying automated efficient operation, as the server executes user-defined rules without requiring ongoing user intervention.
Solution Approach 2:
The system provides feedback to users about how their data sharing preferences are being executed. Users can view which data is being shared, with which appliances, and under what conditions, through the central server's interface. This feedback mechanism maintains user control and transparency while enabling automated efficient data sharing operations.
3Reliability
If appliances detect environmental conditions locally, then performance can be optimized, but detection is difficult or slow when conditions affect other appliances remotely
Solution Approach 1:
The central server acts as an intermediary that receives environmental condition data from appliances and distributes it to appliances that need it. Instead of requiring direct remote detection capabilities between appliances, the server facilitates this information exchange, improving reliability of performance optimization while reducing the difficulty of remote condition detection.
Solution Approach 2:
The system adds a central server dimension to the data exchange architecture. Rather than appliances directly detecting and communicating with each other across potentially large distances or networks, all detection and communication occurs through the central server, simplifying the detection process and improving reliability.
4Productivity
If data sharing settings are changed, then data handling efficiency improves, but it requires changing software at each individual appliance
Solution Approach 1:
The central server serves as a configuration intermediary that manages data sharing settings centrally. When data handling efficiency needs to be improved, administrators can update settings on the server side without touching individual appliance software. The server then distributes updated configurations to relevant appliances, eliminating the need for manual software changes at each device while maintaining high data handling efficiency.
Data Source
AI summary
A method of operating a first domestic appliance associated with a user account and a second domestic appliance associated with the user account may include receiving a parameter signal including a parameter value from the first domestic appliance. The method may also identifying the parameter value as corresponding to a sharable parameter. The method further include recording the parameter value within a sharable field set of a pre-constructed table, after which the parameter value may be shared or analyzed further.