Lighting Scene Template Recommendation for Room-Adaptive Setup
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Solution Overview
Problem
Existing smart lighting systems require complex and time-consuming manual scene setting processes, leading to inefficiencies and inflexible lighting effects that do not adapt to varying room types and device combinations.
Innovation Solution
A method and apparatus for intelligently recommending lighting scene templates by obtaining room information and project category, adjusting basic scene templates based on device lists, and rendering scene images for preview, utilizing a front-end and back-end system to facilitate rapid scene-based lighting parameter configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users manually add devices to the scene creation process and adjust effects one by one, then lighting scenes can be customized, but the process is cumbersome and time-consuming
Solution Approach 1:
The system pre-configures scene templates with default device groupings and parameter settings before deployment. When a scene template is selected, the pre-configured device associations and parameters are automatically applied, eliminating the need for users to manually add devices and adjust effects one by one during the scene creation process.
Solution Approach 2:
The system creates reusable scene templates that can be copied and applied to multiple rooms or spaces. Each template contains pre-defined device groupings, parameter settings, and effect configurations that can be rapidly deployed across different locations, significantly reducing the time required for scene setup while maintaining customization through template selection.
2Productivity
If lighting scene effects are solidified on the device side before the device leaves the factory, then scene usage is faster, but the effect is very fixed and cannot adapt to different room types
Solution Approach 1:
The system implements dynamic scene templates where device groupings and parameter settings are not fixed but can be adjusted based on the actual room configuration. When a template is applied, the system dynamically maps the template's device categories to the actual devices in the room, allowing the same template to adapt to different room types and device combinations while maintaining fast deployment.
Solution Approach 2:
The system allows parameter adjustments in scene templates based on room attributes and device lists. Different room types (e.g., living room, bedroom, office) can trigger different parameter configurations within the same template framework, enabling the template to adapt to various room types while maintaining the speed of template-based deployment.
3Ease of manufacture
If preset fixed parameter combinations are used in the cloud, then basic applications are met, but hierarchical and regional lighting effects cannot be achieved
Solution Approach 1:
The system segments lighting devices into different categories (e.g., ambient lighting, task lighting, accent lighting) and groups them hierarchically within scene templates. Each device category can have independent parameter control, enabling hierarchical lighting effects where different device groups can be adjusted separately to create layered lighting scenarios while maintaining ease of use through the template framework.
Data Source
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AI summary
The present application provides a method and an apparatus for intelligently recommending a lighting scene template, and an electronic device, the method includes: obtaining room information and a project category, in which the room information includes a device list for lighting in a room and a room attribute; obtaining a basic scene template list that is adapted based on the project category and the room attribute, in which the basic scene template list includes a plurality of basic scene templates, and each of the basic scene templates includes a device preset parameter for lighting in the room; and adjusting each of the basic scene templates in the basic scene template list based on the device list, to obtain a recommended scene template list, in which the recommended scene template list includes a plurality of recommended scene templates.