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A team matching method based on real geographical location

A technology of geographic location and matching method, applied in the field of data analysis, can solve the problems of small-scale team situation assembly and neglect, and achieve the effect of saving computing time and resource consumption and freeing the number of people.

Active Publication Date: 2022-05-24
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] The purpose of the present invention is to focus on the gathering and evacuation of the large-scale disaster-stricken population under the natural disaster situation at present, and ignore the problem that the small-scale troop situation is assembled

Method used

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  • A team matching method based on real geographical location
  • A team matching method based on real geographical location
  • A team matching method based on real geographical location

Examples

Experimental program
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Embodiment

[0065] Take the application of 100 people as an example, assuming that 100 people apply at the same time, the team demand is 10+9+8+....+3+2+1. A total of ten different team sizes for different needs are included. From the first step, we know that 10, 9, and 8 are required for one team, 7 people need 2 teams, 6 people need 2 teams, 5 people need 3 teams, 4 people need 5 teams, and 2 people need 7 teams. 3 people need 1 team. After calculation, a total of 103 people are needed, so some of them will not complete the match. Among them, the first calculation shows that the value of n is 72, and the initial number of all 100 people is randomly distributed in an area, which is represented by a coordinate system here, such as figure 2 shown.

[0066] Since the bottom layers considered are all 2-person or 1-person teams, the average should be around 1.5. In this way, we can continue to eliminate those that meet the needs of the current 2 people, and continue to the next step if t...

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Abstract

The invention belongs to the technical field of data analysis, and specifically relates to a team matching method based on a real geographic location. The main idea of ​​the present invention is to divide the requesters into teams with a certain number of people according to their needs and geographic locations by using a clustering algorithm for the current requesting crowd. This program aims to study the rapid assembly of processing personnel in the case of traffic accidents, criminal cases and other small-scale team gatherings. And according to the severity and danger of the accident, study the number of people gathered and processed under accidents of different severity. When adopting this system solution, the headquarters only needs to directly release the required number of people and the geographical location of the accident to form a team according to the size of the accident. At this time, the system will automatically gather nearby idle workers according to the demand, and gather them at the place where the accident occurred.

Description

technical field [0001] The invention belongs to the technical field of data analysis, in particular to a team matching method based on a real geographical location. Background technique [0002] In the existing technical solution, the matching based on geographic location does not use the clustering method, but simply uses the latitude and longitude to calculate the distance between two points and directly obtains the closest user matching. In addition, this matching scheme adopts a one-to-one single-target matching method, considering less other factors, and is not suitable for team matching and multi-person matching modes. From big data analysis, this scheme is also not suitable for large-scale data matching. However, cluster-based research is the opposite of the above-mentioned scheme, and is more concerned with the study of large-scale crowd behavior, gathering, and evacuation. These technical solutions are designed to solve the problem of safe evacuation of people in ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
CPCG06F18/23213Y02A10/40
Inventor 饶云波银杨
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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