Preflight Rule Parameter Consistency via Automatic Interface Generation
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Solution Overview
Problem
Existing preflight rule systems require manual updating of dialog interfaces and resource templates whenever parameters change, leading to inconsistencies across associated conditions and rules, and necessitate redesigning when relationship changes or data types are modified.
Innovation Solution
A dictionary-based approach for defining parameter data types and values, with automatic generation of control interfaces and parameter relationships, allowing for dynamic management of preflight rule parameters and consistency checks, enabling users to define and modify preflight rules without affecting unrelated rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual updating of dialog interfaces and resource templates is performed whenever parameters change, then parameter consistency can be maintained, but the time and effort required for updates increases significantly
Solution Approach 1:
The system performs preliminary actions by automatically generating dialog interfaces and resource templates from parameter definitions before they are needed. When parameters change, the system proactively regenerates affected interfaces and templates, preventing consistency issues before they occur rather than requiring manual updates after changes are made.
Solution Approach 2:
The system serves itself by automatically detecting parameter changes and regenerating the corresponding dialog interfaces and resource templates without human intervention. The system monitors parameter definitions and autonomously updates dependent resources, eliminating the need for manual updating while maintaining consistency.
2Adaptability or versatility
If custom dialog interfaces are created for each preflight rule, then specific parameter interactions can be customized, but the complexity of managing and updating these interfaces increases
Solution Approach 1:
The system creates a universal dialog interface template that can serve multiple preflight rules through parameter substitution. Instead of creating separate custom interfaces for each rule, a single template structure is used that adapts to different rules by injecting rule-specific parameters, thereby reducing management complexity while maintaining customization capability.
Solution Approach 2:
The system uses copying by generating dialog interfaces through template instantiation rather than creating unique interfaces for each rule. The template is copied and populated with rule-specific parameters automatically, reducing the complexity of managing multiple custom interfaces while preserving the ability to customize parameter interactions for each rule.
3Loss of information
If dialog interfaces are manually updated whenever parameters change, then changes can be tracked, but the risk of introducing errors during manual updates increases
Solution Approach 1:
The system implements feedback by automatically detecting parameter changes and triggering regeneration of affected dialog interfaces and resource templates. This closed-loop approach ensures that changes are tracked systematically and applied consistently, eliminating the risk of human error associated with manual updates while maintaining complete change tracking.
Solution Approach 2:
The system replaces the mechanical process of manual updating with an automated computational process. Instead of manually tracking and updating interfaces, the system uses automated scripts and tools to detect parameter changes and regenerate interfaces, thereby tracking changes accurately while eliminating errors introduced by manual operations.
4Reliability
If resource templates are redesigned when relationship changes occur, then consistency among rules can be maintained, but the productivity of rule creation decreases
Solution Approach 1:
The system applies dynamics by making resource templates flexible and adaptable rather than static. When parameter relationships change, the system dynamically regenerates templates to reflect new relationships automatically. This dynamic approach maintains consistency among rules while eliminating the need for time-consuming manual redesign, thereby preserving productivity.
Data Source
AI summary
A method includes defining preflight parameters for preflight rules using relationship information. A preflight rule may be associated with an attribute table which may include information about associated preflight parameters. The preflight parameters may be defined via an interface that enables a user to specify data type and parameter relationship information.


