Smart Home Scene Priority Switching for Adaptive Control
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Solution Overview
Problem
Existing smart home scene switching systems lack efficiency and reliability, often requiring users to manually adjust settings, failing to adapt to current environmental conditions, and losing control parameters during scene switching, leading to suboptimal user experiences.
Innovation Solution
A smart home scene switching method that dynamically calculates priority orders for scene groups based on current status parameters and historical records, allowing for seamless switching and selection of scenes according to predefined rules, ensuring reliable and stable operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual scene switching is used according to control instructions, then user control is achieved, but switching efficiency is low
Solution Approach 1:
The system automatically switches scenes based on detected events (motion detection, time changes, temperature changes) without requiring manual user input. The control center autonomously determines which scene to activate by matching current environmental parameters and event types against predefined scene conditions, enabling self-service operation that eliminates manual switching delays
Solution Approach 2:
The system continuously monitors environmental parameters (temperature, humidity, light intensity) and device status information, using this feedback to dynamically determine the appropriate scene to switch to. The control center receives real-time data from sensors and appliances, processes this information against scene definitions, and automatically activates the most suitable scene, creating a closed-loop control system that responds to changing conditions
2Adaptability or versatility
If environment sensing is used to adjust parameters, then automatic adaptation is achieved, but scene requirements are not met due to simple control conditions
Solution Approach 1:
The system dynamically adjusts scene selection based on real-time environmental parameters and device status information. Rather than using fixed control conditions, the control center continuously evaluates current temperature, humidity, light intensity, and appliance states against multiple scene definitions, allowing the system to adapt to changing environmental conditions while maintaining reliable scene switching through comprehensive parameter matching
Solution Approach 2:
The control center integrates multiple sensing functions (temperature sensing, humidity sensing, light sensing, motion detection) and processes various types of information (environmental parameters, device status, event types) to determine scene switching. This multi-functional approach allows a single control system to handle diverse environmental conditions and trigger appropriate scenes based on comprehensive analysis of multiple parameters simultaneously
3Ease of operation
If scene switching is based on user preference only, then switching operation is simplified, but control parameters are lost and scene expectations are not met
Solution Approach 1:
Users pre-define scene configurations including control parameters, device associations, and triggering conditions during system setup. The control center stores these predefined scene definitions with all associated parameters (temperature thresholds, light intensity levels, device groups). When scene switching is triggered, the system retrieves and applies the complete set of pre-configured parameters, ensuring no control information is lost while maintaining simple user operation through predefined scenarios
Solution Approach 2:
The system continuously monitors environmental parameters and device status information, using this feedback to verify and adjust scene execution. The control center compares actual environmental conditions against the control parameters defined in scene configurations, ensuring that scenes are activated only when appropriate conditions are met. This feedback mechanism preserves control parameters by continuously referencing the predefined scene definitions during automatic switching
Data Source
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AI summary
The invention discloses a smart home scene switching method and system, in which a priority order of several scenes is calculated dynamically according to the status parameters of the current scene and/or historical record of past scenes, and scenes are sequentially switched according to the priority order, based on the event causing scene change and a switching rule between the event and the scene. The smart home scene switching method and system according to the invention expand switching and selecting of smart home scenes. The scenes are switched according to the priority order, thus simplifying user's switching and selecting operation on scenes and further improving the efficiency of switching scenes, which improves the reliability and stability of smart home scene switching.