Cloud-Based Cooking Appliance Control for Personalized Diet Management
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Solution Overview
Problem
Current cooking appliance systems lack the capability to provide a customized diet tailored to individual users' physiological parameters, which are acquired by measuring devices, and remotely managed through a cloud-computing infrastructure.
Innovation Solution
A method and system where a cloud computer server stores recipes, receives user parameters from various measuring devices, creates a customized diet plan, and transmits control instructions to connected cooking appliances, adapting the plan based on user-specific data and thresholds, while optionally providing health warnings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cooking appliance systems use standard remote control functionality, then basic recipe transmission is achieved, but personalized diet customization based on user physiological parameters is not provided
Solution Approach 1:
A cloud-based server acts as an intermediary between measuring devices and cooking appliances. The server receives physiological data from measuring devices, processes it to create personalized diet plans, and transmits appropriate control instructions to cooking appliances. This intermediary approach enables personalized diet customization without requiring direct complex integration between measuring devices and appliances, thus improving adaptability while managing system complexity.
Solution Approach 2:
The system moves from traditional appliance-centric control to a cloud-based data processing dimension. By transferring data processing and diet plan creation to the cloud server, the system adds a new operational dimension that enables personalized customization without increasing local device complexity. The cloud server handles the complex computations and data integration, while local devices maintain their existing functionality.
2Adaptability or versatility
If multiple measuring devices are integrated to collect user parameters, then personalized diet planning is enabled, but system complexity and data integration challenges increase
Solution Approach 1:
The system merges data from multiple measuring devices (weight scales, fitness trackers, glucose monitors, blood pressure monitors) into a unified diet plan through the cloud server. The server consolidates diverse physiological parameters and coordinates their integration, enabling comprehensive personalized diet planning while managing the complexity of multi-device data harmonization centrally rather than distributing it across multiple devices.
3Reliability
If real-time parameter monitoring and diet plan adaptation are implemented, then health monitoring capability is improved, but data processing requirements and energy consumption increase
Solution Approach 1:
The system implements periodic data transmission and diet plan updates rather than continuous real-time processing. Measuring devices transmit data at scheduled intervals, and the cloud server processes and updates diet plans periodically. This periodic approach maintains reliable health monitoring capability while significantly reducing energy consumption compared to continuous real-time data streaming and processing.
Data Source
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AI summary
The method comprising performing following steps by a cloud computer server (30): storing one or more recipes including food preparation parameters for one or more cooking appliances (20); receiving one or more parameters of a plurality of users acquired by at least one measuring device (40), such as glucose level, blood level, weight, body mass index, temperature, and/or heartbeat; creating a customized diet plan for each of said plurality of users based on the received one or more parameters and the stored recipes; receiving identification data of a particular cooking appliance (20) of a user of said plurality of users; and transmitting control instructions comprising a recipe, as a part of the diet plan, to an information interface integrated in said particular cooking appliance (20) of said user or in a communications terminal (10) of said user.