Semantic Map Generation for IoT Device Management
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Solution Overview
Problem
Current IoT device management in smart homes is inconvenient due to the use of text-based lists, making it difficult for users to intuitively manage and control devices based on their locations.
Innovation Solution
A method for generating a semantic map that displays IoT devices in a target space, allowing for intuitive management by determining the location relationships between devices and using cloud or local computing to enhance privacy and reduce information leakage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If text-based lists are used to manage IoT devices, then device management can be implemented, but user convenience and intuitiveness deteriorate
Solution Approach 1:
The patent transforms the one-dimensional text-based device list into a two-dimensional visual map representation. The semantic map displays devices with their spatial relationships, room locations, and relative positions visually, allowing users to intuitively understand device layouts without needing to interpret text descriptions. This dimensional transformation directly resolves the contradiction by providing both comprehensive device information and spatial context in a visually intuitive format.
2Ease of operation
If visual representation of devices is implemented, then user experience improves, but system complexity increases
Solution Approach 1:
The patent introduces a semantic map as an intermediary layer between the raw device data and the user interface. This semantic map serves as a mediator that processes and organizes device information, spatial relationships, and room structures into a unified visual representation. By using this intermediary, the system manages complexity internally while presenting a simple, intuitive visual interface to users, thus resolving the contradiction between improved user experience and system complexity.
3Power
If cloud computing is used for semantic map generation, then processing power increases, but information security and privacy deteriorate
Solution Approach 1:
The patent inverts the conventional approach by allowing local devices (smart speakers, displays) to perform semantic map generation locally rather than requiring cloud processing. This inversion places computing power at the edge devices, reducing the need to transmit sensitive spatial and device information to remote servers. The solution maintains high processing capability through distributed computing while fundamentally eliminating the information leakage risk associated with cloud-based processing, thus resolving the contradiction between computing power and information security.
Data Source
AI summary
A method for generating a semantic map includes: acquiring an initial map; determining, based on the initial map, a target space, wherein the target space includes one or more sub-regions; determining, based on the target space, a location of one or more first devices; determining, based on the location of the first devices, a location of one or more second devices; generating the semantic map, wherein the semantic map includes at least the target space, as well as the location of the first devices and the location of the second devices in the target space.