Geolocation Area of Interest Determination via Terminal Density
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Solution Overview
Problem
Existing methods for determining areas of interest on maps based on geolocation data are inefficient and costly due to manual labor, leading to subjective errors in area demarcation.
Innovation Solution
A method and device that divide a map area into blocks, count terminal activity within each block, select anchor points based on threshold values, and use a convex hull algorithm to define an area of interest bounded by a curve encompassing these points, thereby automating the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual methods are used to determine areas of interest on maps, then subjective expertise can be applied, but efficiency is low and costs are high
Solution Approach 1:
The patent replaces manual mechanical determination of areas of interest with an automated computational system. The system divides the map area into blocks, counts terminal locations in each block, and uses algorithmic processing to determine areas of interest, eliminating the need for manual labor while maintaining or improving accuracy through objective data-driven methods.
2Measurement precision
If manual labor is used to determine areas of interest, then detailed analysis can be performed, but costs increase
Solution Approach 1:
The system performs self-service by automatically processing geolocation data from terminals to determine areas of interest. The computational system uses the collected terminal location data to autonomously identify and delineate areas of interest without requiring external manual intervention, thereby reducing costs while maintaining analytical depth.
3Productivity
If automated methods are used to determine areas of interest, then efficiency improves, but subjectivity may be reduced leading to potential loss of nuanced judgment
Solution Approach 1:
The system incorporates feedback mechanisms by using actual terminal location data from the map area to objectively determine areas of interest. The method counts the number of terminals in each block and uses this empirical feedback to identify areas with higher terminal density as areas of interest, ensuring accuracy through data-driven decision-making rather than subjective judgment.
Data Source
AI summary
This application provides a method and a device for determining an area of interest based on geolocation data. The method includes: dividing an area on a map into a plurality of blocks; for each block in the area, determining the number of terminals within the block in a duration as a value of the block in the duration; determining a plurality of anchor points based on the blocks having values greater than a threshold; and obtaining a curve based on some or all of the anchor points, wherein an area bounded by the curve is an area of interest.


