Policy-Driven Object Regulation With Closed-Loop Automation
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Solution Overview
Problem
Existing object regulation methods suffer from low efficiency and accuracy due to manual intervention, leading to slow regulation speeds and human-induced errors.
Innovation Solution
Implementing intelligent regulation through policy groups that include target object information, regulation conditions, and actions, allowing for automated query tasks and data-driven regulation actions based on predefined policies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual regulation methods are used to adjust object parameters, then flexibility and adaptability are maintained, but regulation efficiency and accuracy deteriorate due to human error and slow response
Solution Approach 1:
The system enables self-service regulation by automatically querying current object parameters, comparing them against target parameters, and executing adjustments without human intervention. The regulation apparatus autonomously monitors object states, generates regulation actions based on predefined policies, and implements corrections, thereby eliminating manual operation bottlenecks and human-induced errors while maintaining continuous optimization.
Solution Approach 2:
The system implements closed-loop feedback by continuously querying object parameter data, comparing actual values with target values, and automatically executing regulation actions when deviations are detected. This feedback mechanism ensures high regulation accuracy by systematically identifying and correcting parameter deviations, while the automated nature of the feedback loop maintains high regulation efficiency without manual intervention.
2Measurement precision
If automated regulation systems are implemented, then regulation efficiency and accuracy improve, but system complexity increases due to the need for policy groups and query tasks
Solution Approach 1:
The system segments the regulation process into distinct functional modules: a policy group management module that stores regulation rules, a query task execution module that retrieves object parameters, a comparison module that identifies deviations, and an action execution module that implements corrections. This segmentation reduces system complexity by making each module independent and manageable, while the coordinated operation of these modules achieves high regulation accuracy through systematic automated control.
3Measurement precision
If frequent regulation actions are performed to maintain object parameters, then parameter accuracy is maintained, but energy consumption and operational costs increase
Solution Approach 1:
The system implements periodic regulation actions by continuously monitoring object parameters and only executing regulation actions when parameter deviations exceed predefined thresholds. This periodic approach maintains parameter accuracy by performing adjustments only when necessary, rather than continuously, thereby reducing energy consumption and operational costs while still ensuring parameters remain within acceptable ranges through systematic periodic checks.
Data Source
AI summary
The present disclosure provides an object regulation method, electronic device and a non-transitory computer-readable storage medium. The method includes: obtaining a policy group, where the policy group includes target object information and at least one policy, and the policy includes: a regulation condition and a regulation action that correspond to each other; generating a query task based on the target object information and the regulation condition, and performing the query task to obtain regulation data; and performing the regulation action corresponding to the regulation condition on a target object corresponding to the target object information when the regulation data meets the regulation condition. In this way, after a user configures the policy group, the target object may be intelligently regulated without subsequent human participation, thereby effectively improving regulation efficiency of the target object, and improving regulation accuracy.