Smart Device Location Identification via Network Class
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Solution Overview
Problem
Existing methods for managing smart devices require manual grouping and tagging, which is inconvenient and does not allow for automatic updates, making it difficult for users to efficiently control and organize their devices.
Innovation Solution
A method and apparatus that obtain network class identifications of network devices to generate location identifications for smart devices, allowing them to be automatically grouped and displayed in a smart device list, enabling users to manage devices based on location without manual division or tagging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual grouping and tagging methods are used to manage smart devices, then users can organize devices into groups, but the process requires significant user time and effort for initial setup and reorganization
Solution Approach 1:
The system automatically performs device grouping and organization without requiring user intervention. The server autonomously collects device information, determines device relationships, and creates groups based on network topology and device interactions, eliminating the need for manual user setup and reorganization
Solution Approach 2:
The system pre-establishes device groups and relationships automatically when devices are added to the network, rather than waiting for user manual organization. This preliminary automatic grouping eliminates the need for subsequent reorganization operations by users
2Adaptability or versatility
If manual grouping is used for smart device management, then devices can be categorized, but the groups cannot be updated automatically when device configurations change
Solution Approach 1:
The server continuously monitors device status changes, network topology modifications, and device interaction patterns. When changes are detected, the system automatically feedbacks to the grouping mechanism to update device groups accordingly, ensuring groups remain synchronized with actual device configurations without user intervention
Solution Approach 2:
The device grouping system is designed to be dynamic rather than static. Groups automatically adjust their composition based on real-time device status, network changes, and device relationships, allowing the system to adapt continuously without requiring manual reconfiguration by users
3Device complexity
If users manually divide smart devices into groups, then device organization is achieved, but the process becomes complex and inconvenient when reorganization is needed
Solution Approach 1:
The system autonomously handles device reorganization by automatically detecting when devices should be moved between groups based on network changes or device status. The server performs the reorganization operations without requiring users to manually withdraw and reassign devices, significantly simplifying the reorganization process
Data Source
AI summary
The present disclosure relates to a method for device identification. The method includes obtaining a network class identification of a network device. The network device establishes a network, and the network class identification indicates a network coverage location of the network established by the network device. The method further includes generating a location identification for a smart device according to the network class identification, and displaying the location identification for the smart device in a smart device list. The smart device is connected to the network.