Advertisement putting method and system based on meteorological early warning aircraft
By displaying advertising content on the display screen of the meteorological early warning machine, and analyzing the riding information using the image acquisition device and the K-means algorithm, the resource waste problem caused by the idle weather early warning machine is solved and efficient use of resources is achieved.
CN119722188AActive Publication Date: 2025-03-28Jiangxi Provincial Meteorological Bureau +1
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Patent Information
- Application Number
- CN202510041348.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-10
- Publication Date
- 2025-03-28
- Estimated Expiration
- 2045-01-10
AI Technical Summary
Technical Problem
Meteorological early warning aircraft are idle most of the time, resulting in waste of resources.
Method used
By setting up an image acquisition device on the display screen of the weather early warning machine, collecting historical data of the riding information in the elevator, performing standardized processing, and using the K-means algorithm for clustering analysis, determining the advertising content of different groups, and displaying the advertising content at any time.
Benefits of technology
The resources of the meteorological early warning aircraft during their free time are effectively utilized, resources are avoided, and corresponding advertising content is displayed according to the group of passengers in different time periods.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses an advertisement putting method and system based on a weather early warning aircraft, and relates to the technical field of weather early warning, and the method comprises the following steps: obtaining historical data of taking information in an elevator, and determining personnel attributes of passengers in different time periods; standardizing the personnel attributes, and representing each attribute value as a feature vector so as to integrate the personnel attributes into a data matrix; performing clustering analysis on the data matrix by using a K-means algorithm, determining a plurality of different groups according to a clustering analysis result, and determining advertisement contents of advertisement types corresponding to the plurality of different groups; and the group distribution conditions in different time periods are obtained, the advertisement content of the elevator in each time period is determined, and when the meteorological early warning aircraft does not need meteorological science popularization content display, the advertisement content is correspondingly displayed through the second display area. According to the invention, the problem of resource waste caused by most idle weather early warning aircrafts in the prior art is solved.
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