Competition group division method and system
CN120911754APending Publication Date: 2025-11-07QINGDAO MAGENE INTELLIGENCE TECH CO LTD
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Patent Information
- Application Number
- CN202511022671.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-23
- Publication Date
- 2025-11-07
AI Technical Summary
Technical Problem
In long-distance racing events, existing technologies struggle to accurately categorize participants into groups, especially in complex road conditions where misjudgments can easily occur, impacting the participants' experience.
Method used
By acquiring the travel information of user points, calculating their coordinates and determining the nearest area, and filtering and classifying them according to the density of nearby user points, user points with a density greater than or equal to a set threshold are classified as multi-person groups, otherwise as individual groups.
Benefits of technology
It enables precise segmentation of participating user groups under complex road conditions, improving users' understanding of their location and their overall participation experience.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN120911754A_ABST
Abstract
The invention discloses a match group division method and system, and the method comprises the steps: S1, obtaining the marching information of all user points, and resolving the marching information into the coordinates of the user points; s2, calculating a neighbor area of the user points according to the coordinates of the user points, taking other user points in the neighbor area as neighbor user points, and then calculating the density of the neighbor user points in the neighbor area of the user points according to the number of the neighbor user points; s3, traversing all the user points, and screening and classifying each user point according to the density of the neighbor user points: taking all the user points which are located in the same neighbor area and have the density of the neighbor user points greater than or equal to a set density threshold value as a multi-person group output; and respectively outputting the user points which are not positioned in any multi-person group as individual groups. The groups of the users in the competition are accurately divided, the mastery degree of the users on the positions is improved, and the experience feeling of the users is improved.
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