Smart Home Device Control via Personal Profile Detection
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Solution Overview
Problem
Smart home devices, such as smart rice cookers, lack the ability to adapt cooking preferences to individual tastes, resulting in inconsistent meal quality for multiple diners with different preferences.
Innovation Solution
A control method and device that detect connected personal devices, acquire personal information including taste preferences, and adjust cooking parameters accordingly, enabling the smart home device to automatically feed raw materials and cook meals based on determined preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a smart home device uses fixed cooking modes, then the device operation is simple, but it cannot adapt to different users' taste preferences
Solution Approach 1:
The system automatically detects personal devices in the network, retrieves user preference information from their profiles, and selects appropriate cooking modes without requiring manual user input. The smart home device serves itself by autonomously adapting to different users' tastes based on their historical data and preferences stored in the system.
Solution Approach 2:
The system continuously monitors which personal devices are connected to the network and uses this feedback to dynamically adjust cooking parameters. By detecting the presence of specific user devices and retrieving their preference profiles, the system provides real-time adaptation to user needs, creating a closed-loop control system that responds to user presence and preferences.
2Ease of operation
If the smart home device manually adjusts cooking parameters for each user, then it can meet individual preferences, but the operation process becomes complex and time-consuming
Solution Approach 1:
The system pre-stores cooking preference information for each user in their digital profiles, including favorite cooking modes, temperature preferences, and cooking time preferences. When a user's personal device is detected, the system retrieves this pre-stored information and automatically applies it, eliminating the need for real-time manual adjustment and saving time.
Solution Approach 2:
The system automatically detects which personal devices are present in the network, retrieves the corresponding user preference profiles, and configures cooking parameters without requiring any manual intervention from the users. This self-service approach makes the operation extremely convenient while being quick and efficient.
3Adaptability or versatility
If the smart home device detects and processes personal information from multiple devices, then it can personalize meals for each user, but the information processing complexity increases
Solution Approach 1:
The system uses a unified information processing framework that handles multiple user profiles and preference types through a single set of protocols and data structures. The network detection mechanism, preference retrieval process, and cooking mode selection logic are designed to work universally for any number of users, reducing the need for separate processing paths for each user and simplifying the overall system architecture.
Data Source
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AI summary
The present disclosure relates to a control method and a control device for a smart home device. The method includes: acquiring (S101, S201) personal information about participating persons; and determining (S102, S202) an operation mode of the smart home device based on the personal information, for the smart home device to perform a task according to the operation mode. In the present disclosure, the personal information about the participating persons can be acquired, and then an operation mode of the smart home device can be determined based on the personal information for the smart home device to operate according to the operation mode. In the present disclosure, the smart home device can perform a task according to various operation modes based on personal information about participating persons, achieving intelligent operation, meeting the user's demands and improving the user experience.