Airspace Notice Parsing for Coordinate-Based Hazard Visualization
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Solution Overview
Problem
Existing systems struggle to efficiently aggregate and understand flight operation information from various sources, particularly in aviation, due to the complexity and text-based nature of data, leading to potential hazards and operational risks.
Innovation Solution
A method and system for automated data parsing and conversion that identifies relevant location information from diverse data sources, such as NOTAMs, and converts it into geographical coordinates for efficient visualization on a GUI, allowing rapid and accurate display of hazards and conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual aggregation and evaluation of flight operation information from multiple sources is performed, then comprehensive information coverage is achieved, but time consumption and latency increase significantly
Solution Approach 1:
The system performs preliminary actions by pre-defining multiple data formats and their corresponding parsing rules in advance. When flight operation information arrives from different sources (NOTAMs, weather services, air traffic control), the pre-configured parsers can immediately process the data without manual intervention, achieving both comprehensive coverage and rapid processing
Solution Approach 2:
The system implements a universal parsing framework that can handle multiple data formats and sources through a single automated pipeline. The framework recognizes and processes various notice formats (text-based NOTAMs, structured data, unstructured reports) using the same core architecture, eliminating the need for separate manual processing for each source type
2Loss of information
If text-based flight operation information is provided without automated parsing, then data detail and completeness are maintained, but understanding and processing efficiency decrease
Solution Approach 1:
The system segments text-based flight operation information into structured components through automated parsing. Each notice is divided into identifiable elements such as location, hazard type, time parameters, and operational impact. This segmentation maintains all original data details while organizing them into machine-processable formats that enable rapid analysis and display
Solution Approach 2:
The parsing system acts as an intermediary between raw text-based flight information and the visualization interface. It translates unstructured or semi-structured text into standardized data structures that preserve complete information while enabling efficient processing and graphical display, bridging the gap between detailed data and processing efficiency
3Measurement precision
If location information from diverse sources is not converted to standardized coordinates, then source-specific accuracy is maintained, but visualization and aggregation become difficult
Solution Approach 1:
The system applies parameter changes by converting location information from various coordinate systems and formats into a standardized geographic coordinate system. The parsing module detects the source format (latitude/longitude, bearing/distance, grid coordinates) and automatically transforms it to a universal format, maintaining precision while simplifying visualization and aggregation operations
Data Source
AI summary
The present disclosure provides techniques for efficient data parsing and conversion for enhanced visualization. Notice data indicating an airspace status relating to one or more flight operations is accessed, and the notice data is parsed based on a plurality of defined formats to identify one or more locations indicated in the notice data, where each respective defined format of the plurality of defined formats indicates how locations are structured in a respective type of notice data. One or more sets of geographical coordinates are generated for the one or more locations based at least in part on the plurality of defined formats. A map of a geographic region, comprising one or more points at the generated one or more sets of geographical coordinates, is output via a graphical user interface.