Navigation Chart Name Matching via Codex String Generation
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Solution Overview
Problem
Aircraft pilots face high workload during navigation due to the time-consuming and labor-intensive process of matching navigation charts with specific flight procedures, as chart and procedure names often do not match clearly, leading to difficulties in identifying relevant charts for navigation.
Innovation Solution
A method and system that simplify identifiers for navigation charts and procedures by generating a codex string or bit field, allowing for a matching procedure to correlate chart names with procedure names based on shared characteristics, such as geographic locations or equipment types, facilitating quick and accurate matching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If navigation chart names and procedure names are used as-is from different vendors, then the original naming conventions are preserved, but the matching process becomes time-consuming and labor-intensive
Solution Approach 1:
The patent transforms chart names and procedure names into standardized numerical codes through a mapping process. This parameter transformation converts unstructured text names into structured numerical representations that can be efficiently compared and matched, resolving the contradiction between preserving original naming conventions and enabling efficient matching.
Solution Approach 2:
The patent introduces an intermediary mapping system that acts as a bridge between vendor-specific chart names and procedure names. This intermediary layer of standardized codes enables matching without requiring direct comparison of the original disparate names, thus reducing time and effort while preserving the original naming conventions.
2Reliability
If manual matching of navigation charts to procedures is performed, then accurate matching can be achieved, but the process becomes labor and cost intensive
Solution Approach 1:
The patent replaces the manual mechanical process of matching charts to procedures with an automated computational system. The system uses numerical code comparison and algorithmic matching to automatically associate charts with procedures, maintaining high accuracy while eliminating manual labor and reducing overall process complexity.
Solution Approach 2:
The patent creates simplified numerical code representations (copies) of the complex chart names and procedure names. These code copies retain the essential matching information while being much simpler to process and compare, enabling automated matching without requiring direct manipulation of the complex original names.
3Loss of information
If detailed chart names with many characters are used, then chart characteristics are fully described, but the matching process becomes less obvious and more difficult
Solution Approach 1:
The patent extracts the essential matching information from detailed chart names and procedure names, separating it into standardized numerical codes. This extraction process retains the critical information needed for matching while removing extraneous details that complicate the matching process, making it easier to identify relevant charts.
Solution Approach 2:
The patent segments the detailed chart names and procedure names into discrete numerical code components. This segmentation breaks down the complex naming information into manageable units that can be systematically compared and matched, reducing the difficulty of identifying relevant charts while preserving the complete information content.
Data Source
AI summary
A method for correlating a first item to a second item is disclosed. The method includes detecting a first identifier associated with the first item and detecting a second identifier associated with the second item. The method further includes simplifying the first identifier, and executing a matching procedure configured to match the first identifier to the second identifier and generating a match value, which includes comparing the first identifier to the second identifier and generating the match value between the first identifier and the second identifier. The method also includes reporting a correlation between the first item and the second item based on the match value. The method may be performed by a system that includes a controller, one or more processors, and memory.


