Drag-and-Drop Policy Risk Detection Across Three Validation Layers
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Solution Overview
Problem
Quantitative policies constructed by non-professional users often fail to function properly due to risks arising from improper construction, leading to failures in quantitative operations.
Innovation Solution
A policy risk positioning method and apparatus that utilizes drag-and-drop operations in a canvas region to construct policies, with detection mechanisms for global composition, intra-control parameters, and inter-control relationships to identify and address risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If non-professional users construct quantitative policies using drag-and-drop operations, then ease of operation is improved, but reliability deteriorates due to construction risks and improper policy formation
Solution Approach 1:
The patent implements a risk positioning mechanism that provides feedback during policy construction by detecting global composition, intra-control parameters, and inter-control relationships. This feedback system identifies potential risks and guides users to correct improper constructions before deploying quantitative operations, thereby maintaining ease of use while improving reliability.
Solution Approach 2:
The patent introduces an intermediary risk detection and positioning system between the user's drag-and-drop operations and the final policy execution. This intermediary layer analyzes the constructed policy for risks without requiring users to have professional knowledge, allowing them to benefit from expert-level validation while maintaining simple operations.
2Reliability
If comprehensive risk detection is performed on global composition, intra-control parameters, and inter-control relationships, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent segments the risk detection process into three distinct modules: global composition detection, intra-control parameter detection, and inter-control relationship detection. Each module handles a specific aspect of risk analysis independently, making the complex detection process more manageable and maintainable while achieving comprehensive coverage.
Solution Approach 2:
The patent creates a universal risk positioning apparatus that can detect multiple types of risks across different levels (global, intra-control, inter-control) using a unified framework. This multi-functional system handles various detection tasks through standardized processes, reducing overall system complexity compared to having separate specialized systems for each detection type.
3Reliability
If risk positioning is performed on all constructed policies, then reliability is improved, but loss of time increases due to additional detection and correction steps
Solution Approach 1:
The patent performs risk detection and positioning as a preliminary action during the policy construction phase, before the quantitative operations are deployed. By identifying and correcting risks early in the process, the system prevents potential failures rather than dealing with them later, reducing overall time loss despite the additional detection steps.
Solution Approach 2:
The patent implements efficient risk detection algorithms that can quickly identify critical risks without performing exhaustive analysis on every aspect of every policy. The system prioritizes detecting high-impact risks and can skip detailed analysis on low-risk areas, reducing the time penalty while maintaining reliability.
Data Source
AI summary
Provided are a policy risk positioning method and apparatus, an electronic device, and a storage medium. The method includes: constructing a to-be-applied policy in response to a drag-and-drop operation on a control in a canvas region; detecting a global composition of all controls in the canvas region in response to meeting a first policy detection condition, to obtain a global detection result; detecting an internal parameter of each control in the canvas region in response to meeting a second policy detection condition, to obtain an intra-control detection result; detecting a connection relationship between adjacent controls in the canvas region in response to meeting a third policy detection condition, to obtain an inter-control detection result; and positioning a risk existing in the to-be-applied policy based on the global detection result, the intra-control detection result and the inter-control detection result.