Automated Attribute Target Area Registration for Coastal Maps
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Solution Overview
Problem
Existing information processing systems face challenges in efficiently setting and registering attribute target areas, particularly for long coastlines, as they require manual measurement and are time-consuming.
Innovation Solution
An information processing apparatus and method that transmits a map with land and water boundaries, allows designation of a boundary range and distance, and associates a designated attribute with the attribute target area, facilitating its registration and update on the map.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual measurement and setting of attribute target areas is performed, then measurement precision can be maintained, but the registration process becomes time-consuming and labor-intensive
Solution Approach 1:
The system automatically generates attribute target areas by processing boundary data and applying designated distances without requiring manual measurement. The attribute target area setting unit autonomously calculates and registers areas based on input boundary information, eliminating the need for manual intervention in the measurement process.
Solution Approach 2:
The patent replaces manual mechanical measurement operations with automated computational processes. The attribute target area setting unit uses algorithmic processing to calculate areas based on boundary coordinates and designated distances, substituting the manual measuring process with automated mathematical computations.
2Productivity
If automated methods are used to set attribute target areas, then registration speed improves, but the ability to handle complex coastline scenarios deteriorates
Solution Approach 1:
The system allows different handling of boundary ranges based on their specific characteristics. The attribute target area setting unit processes different boundary types (coastal boundaries, internal water boundaries) and applies appropriate logic for each scenario, maintaining adaptability to complex geometries while preserving automated processing speed.
Solution Approach 2:
The patent divides the complex task of attribute target area setting into discrete processing steps: acquiring boundary data, designating boundary ranges, applying designated distances, and generating attribute target areas. This segmentation allows the system to handle complex coastlines by processing them in manageable segments rather than attempting to process the entire complex geometry at once.
3Adaptability or versatility
If manual setting of attribute target areas is performed, then adaptability to individual situations is maintained, but the process becomes complex and time-consuming
Solution Approach 1:
The system provides dynamic configuration capabilities where the designated distance and boundary range can be adjusted based on individual situations. The attribute target area setting unit allows flexible parameter input that can be adapted to different scenarios, maintaining adaptability while simplifying the overall process through automated processing of these dynamic parameters.
Data Source
AI summary
An information processing apparatus to perform registration work of an area associated with an attribute includes at least one processor configured or programmed to transmit a map including information on a boundary between a land area and a water area; acquire a designated boundary range among boundaries on the map, a designated distance, and a designated attribute; set an attribute target area based on the designated boundary range and the designated distance, and associate the designated attribute with the attribute target area; and update the map by including the attribute target area associated with the attribute in the map.