AI Geographic Data Layer Gap Filling for Corridor Cost Maps
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Solution Overview
Problem
Existing GIS data often contains gaps, especially when used for complex infrastructure deployments like hyperloop infrastructure, leading to incomplete or insufficient data for alignment and profile optimizations, which can affect the design and deployment of linear infrastructure.
Innovation Solution
A method and apparatus for determining a bounding region, generating a corridor buffer, and processing cost layer data to fill gaps in GIS data by synthetically completing polygon-bounded areas, generating a rasterized cost map to enhance data completeness for alignment and profile optimizations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If GIS data is used for complex infrastructure deployments, then infrastructure design can be performed, but data gaps lead to incomplete information for alignment and profile optimizations
Solution Approach 1:
The patent creates synthetic copies of missing GIS data by generating synthetic cost values for polygon-bounded areas that lack complete cost layer data. This copying approach fills data gaps by replicating cost information from available sources, enabling complete cost maps for infrastructure alignment optimization without requiring complete original data for every area.
Solution Approach 2:
The patent introduces an intermediary processing system that receives incomplete GIS data, identifies gaps in cost layer information, and generates synthetic cost values to bridge the gaps. This intermediary layer processes cost layer data through multiple cost surfaces and combines them to create complete cost maps, acting as a mediator between incomplete source data and the complete data needed for reliable infrastructure deployment.
2Loss of information
If additional data sources are used to augment GIS data, then data gaps may be addressed, but gaps may still remain for complex infrastructure deployments
Solution Approach 1:
The patent segments the data processing into distinct components: identifying polygon-bounded areas with incomplete data, processing cost layer data through multiple cost surfaces, generating synthetic cost values for specific gaps, and combining results into complete cost maps. This segmentation allows systematic handling of data augmentation while managing complexity through modular processing steps.
Solution Approach 2:
The patent changes the parameter state of incomplete data by transforming it from missing or incomplete cost values to synthetic cost values through mathematical processing. By applying parameter changes to the cost layer data through multiple cost surfaces and synthesis algorithms, the system converts incomplete data states into complete data states suitable for complex infrastructure deployments.
3Loss of information
If synthetic completeness is generated for polygon-bounded areas, then data completeness is improved, but processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary identification of polygon-bounded areas with incomplete cost layer data before generating synthetic cost values. By pre-segmenting the workspace into polygons and identifying which areas need synthetic completion, the system avoids processing all areas uniformly, reducing overall processing time while ensuring complete data coverage where needed.
Solution Approach 2:
The patent applies synthetic completion selectively to only those polygon-bounded areas that have incomplete cost layer data, rather than processing all areas. This partial action approach focuses computational resources on filling specific gaps while leaving already-complete areas untouched, optimizing the balance between data completeness and processing efficiency.
Data Source
AI summary
A method for gap filling geographic information service data includes determining a bounding region at or near an initial alignment. The method also includes determining the initial alignment within the bounding region. A corridor buffer is generated at or near the initial alignment, and within the bounding region. Cost layer data is processed. Incompleteness of a number of polygon-bounded areas is determined based on the cost layer data. Partial completeness of the polygon-bounded areas and completeness of the polygon-bounded areas are also determined based on the cost layer data. A synthetic completeness of the number of polygon-bounded areas is generated based on the incompleteness, the partial completeness, synthetic completeness, and completeness of the polygon-based areas. A rasterized cost map including the completeness and the synthetic completeness of the polygon-bounded areas is stored at the processor(s) and in memory(ies).