IoT Device Selection via Self-Evaluation and Intermediary Logic
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Solution Overview
Problem
Home IoT systems currently require users to manually designate specific devices for tasks, even if other devices in the home are capable of performing the task more effectively.
Innovation Solution
An electronic device that can analyze user utterances and determine the optimal device among multiple devices to perform a task by considering various conditions such as device configuration and state information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a user manually designates a specific device for performing a service, then the service can be executed through that designated device, but the service cannot be performed by other devices that may be more suitable for the task
Solution Approach 1:
The system enables devices to automatically determine their own suitability for performing services by evaluating multiple conditions including device specifications, current state, and task requirements. This self-evaluation mechanism eliminates the need for manual user designation while ensuring the most appropriate device is selected to execute the service.
Solution Approach 2:
The system dynamically evaluates multiple parameters such as device configuration, operational state, and task compatibility to determine optimal device selection. By considering changes in device states and task requirements, the system adapts its selection criteria to identify the most suitable device for each specific service request.
2Reliability
If the system evaluates multiple devices to find the optimal one, then service performance is improved, but the complexity of device selection increases
Solution Approach 1:
The device selection process is divided into distinct evaluation stages: initial device identification, condition-based filtering, and optimal device determination. This segmentation allows the system to systematically assess multiple devices through manageable steps rather than attempting to evaluate all devices simultaneously, reducing computational complexity while maintaining selection accuracy.
3Ease of operation
If the system requires manual device designation, then device control is straightforward, but user convenience is reduced when better devices are available
Solution Approach 1:
The system introduces an intelligent intermediary layer that acts between the user's service request and the available devices. This intermediary automatically evaluates device suitability and makes selection decisions, eliminating the need for manual device designation while ensuring optimal service execution. The intermediary translates user intent into appropriate device selection without requiring user involvement in the complex evaluation process.
Data Source
AI summary
An electronic device is provided. The electronic device includes a communication module, a memory, and a processor configured to obtain first information for performing a task, identify a first task corresponding to the first information, identify a first device meeting a plurality of conditions corresponding to the first task among a plurality of devices, and request the first device to perform the first task via the communication module. Various other embodiments may be provided.