IoT Action Association Using Feedback for Robust Device Triggers
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Solution Overview
Problem
Existing IoT systems lack logical relationships between actions, leading to poor robustness and insufficient intelligence due to inadequate association of actions with similar functions, resulting in suboptimal execution effects.
Innovation Solution
A method for associating IoT actions by comparing feedback results and effects to determine associability, allowing actions with similar execution results or effects to be linked, ensuring robustness and intelligence through secondary action triggering when primary actions fail.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If actions are executed independently without association, then the system structure is simple, but the system robustness and intelligence are insufficient
Solution Approach 1:
The patent merges multiple independent actions into an associated action group by establishing logical relationships between them. When the first action fails to achieve the expected execution effect, the system automatically triggers the second associated action as a backup, thereby improving system robustness without significantly increasing structural complexity.
Solution Approach 2:
The system performs preliminary analysis of execution effects before determining whether to trigger backup actions. By evaluating whether the first action has achieved the expected effect and comparing it with the second action's execution effect, the system intelligently decides whether to activate the associated action, improving reliability through advance preparation.
2Adaptability or versatility
If actions with similar functions are associated, then the system intelligence is improved, but the complexity of action management increases
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring the execution effects of actions. When the first action's execution effect does not meet expectations, the system uses this feedback information to automatically trigger the second associated action, thereby demonstrating intelligent adaptability without requiring complex manual management.
Solution Approach 2:
The action association system operates autonomously by automatically evaluating execution effects and triggering appropriate backup actions without human intervention. The system serves itself by managing the logical relationships between actions and making intelligent decisions based on real-time execution feedback, reducing the burden of action management.
Data Source
AI summary
The present disclosure provides a method for associating actions for Internet of things, an electronic device, and a computer-adable storage medium, the method includes: triggering a first device to execute a first action, and triggering a second device to execute a second action to obtain a feedback result of the first action and a feedback result of the second action, where each feedback result includes at least one of an execution result or an execution effect; and judging whether the first action and the second action are associable with each other based on the feedback result of the first action and the feedback result of the second action; and in response to that the first action and the second action are associable with each other, associating the first action with the second action.