CN-122023778-A - Software application control method and system based on big data analysis

CN122023778ACN 122023778 ACN122023778 ACN 122023778ACN-122023778-A

Abstract

The invention provides a software application control method and a system based on big data analysis, and relates to the technical field of application control, wherein the method comprises the steps of obtaining historical play records of tourists, play areas of the tourists and historical play shooting images of the tourists; the method comprises the steps of determining a plurality of initially selected shooting areas based on historical playing records of tourists and playing areas of the tourists, constructing a shooting map, processing the shooting map based on a graph neural network to determine a plurality of target shooting points and target face directions of the target shooting points, determining a target hotel based on the target shooting points, respectively sending the target shooting points, the target face directions of the target shooting points and the target hotel to a digital RMB terminal and displaying the digital RMB terminal and the digital RMB terminal on navigation software and hotel reservation software.

Inventors

ZHANG WEIGUO
JIANG SU

Assignees

成都亚度克升科技有限公司

Dates

Publication Date: 20260512
Application Date: 20260204
Priority Date: 20260202

Claims (10)

1. A software application control method based on big data analysis, comprising: acquiring a historical play record of a tourist, a play area of the tourist and a historical play shooting image of the tourist; determining a plurality of primary selected photographing areas based on the historical play records of the tourists and the play areas of the tourists; determining a plurality of primary shooting points of each primary shooting region 3D image based on the plurality of primary shooting region 3D images; determining a plurality of interest photographing points of the tourist based on the plurality of primary selection photographing points of the 3D image of each primary selection photographing region and the historical play photographing images of the tourist; Determining a plurality of interest face orientation angles of each interest photographing point and a plurality of interest face orientation angles of each interest photographing point based on the plurality of interest photographing points of the tourist; Constructing a photographing map, wherein the photographing map comprises a plurality of interest photographing points and edges among the interest photographing points, the node characteristics of the interest photographing points are tourist photographing simulation images of a plurality of face orientation angles of the interest photographing points, and the edges among the interest photographing points are distances among the photographing points; Processing the photographing map based on a graph neural network to determine a plurality of target photographing points and target face orientations of the target photographing points; determining a target hotel based on the plurality of target photo spots; And respectively sending the plurality of target shooting points, the target face directions of the plurality of target shooting points and the target hotel to the digital RMB terminal and displaying the digital RMB terminal on the navigation software and the hotel reservation software.
2. The software application control method based on big data analysis of claim 1, wherein the plurality of interest points include representative interest points and remaining interest points, and wherein the determining a plurality of interest face orientation angles for each interest point and a plurality of interest face orientation angles for each interest point based on the plurality of interest points of the guest comprises: determining a plurality of initially selected face orientation angles representing interest points based on the plurality of interest points of the guest; generating a tourist photographing simulation image representing the multiple primary face orientation angles of the interest photographing point based on the multiple primary face orientation angles representing the interest photographing point and the historical play photographing image of the tourist; Displaying the guest photographing simulation images representing the multiple initially selected face orientation angles of the interest photographing points to the digital RMB terminal, and obtaining guest photographing simulation images representing the multiple interest face orientation angles of the interest photographing points selected by the guest; Determining a plurality of interest face orientation angles of the rest interest photographing points based on the plurality of interest photographing points of the tourist and the tourist photographing simulation images of the plurality of interest face orientation angles representing the interest photographing points selected by the tourist; And generating a tourist photographing simulation image of the plurality of interest face orientation angles of the rest interest photographing points based on the plurality of interest face orientation angles of the rest interest photographing points and the historical play photographing image of the tourist.
3. The software application control method based on big data analysis of claim 1, wherein the input of the graphic neural network is the photographing map, and the output of the graphic neural network is a plurality of target photographing points and target face orientations of the target photographing points.
4. The method of claim 2, wherein generating a guest photograph simulation image representing the plurality of preliminary face orientation angles of the point of interest based on the plurality of preliminary face orientation angles of the point of interest representative, the historical play photograph image of the guest comprises: Generating a guest photographing simulation image representing the multiple primary face orientation angles of the interest photographing point by using a diffusion model based on the multiple primary face orientation angles representing the interest photographing point and the historical play photographing image of the guest.
5. A software application control system based on big data analysis, comprising: the acquisition module is used for acquiring historical play records of the tourists, play areas of the tourists and historical play photographing images of the tourists; the area determining module is used for determining a plurality of primary shooting areas based on the historical play records of the tourists and the play areas of the tourists; The primary selection photographing point determining module is used for determining a plurality of primary selection photographing points of the 3D image of each primary selection photographing area based on the 3D images of the plurality of primary selection photographing areas; the interest photographing point determining module is used for determining a plurality of interest photographing points of the tourist based on the plurality of primary photographing points of the 3D image of each primary photographing area and the historical play photographing images of the tourist; The simulation image determining module is used for determining a plurality of interest face orientation angles of each interest photographing point and a plurality of interest face orientation angles of each interest photographing point based on the plurality of interest photographing points of the tourist; the building module is used for building a photographing map, the photographing map comprises a plurality of interest photographing points and edges among the interest photographing points, the node characteristics of the interest photographing points are tourist photographing simulation images of a plurality of face orientation angles of the interest photographing points, and the edges among the interest photographing points are distances among the photographing points; the target determining module is used for processing the photographing map based on the graph neural network to determine a plurality of target photographing points and target face orientations of the target photographing points; the target hotel determination module is used for determining a target hotel based on the plurality of target photographing points; And the sending display module is used for respectively sending the plurality of target shooting points, the target face directions of the plurality of target shooting points and the target hotel to the digital RMB terminal and displaying the digital RMB terminal on the navigation software and the hotel reservation software.
6. The big data analysis based software application control system of claim 5, wherein the plurality of interest points includes a representative interest point and a remaining interest point, the simulated image determination module further configured to: determining a plurality of initially selected face orientation angles representing interest points based on the plurality of interest points of the guest; generating a tourist photographing simulation image representing the multiple primary face orientation angles of the interest photographing point based on the multiple primary face orientation angles representing the interest photographing point and the historical play photographing image of the tourist; Displaying the guest photographing simulation images representing the multiple initially selected face orientation angles of the interest photographing points to the digital RMB terminal, and obtaining guest photographing simulation images representing the multiple interest face orientation angles of the interest photographing points selected by the guest; Determining a plurality of interest face orientation angles of the rest interest photographing points based on the plurality of interest photographing points of the tourist and the tourist photographing simulation images of the plurality of interest face orientation angles representing the interest photographing points selected by the tourist; And generating a tourist photographing simulation image of the plurality of interest face orientation angles of the rest interest photographing points based on the plurality of interest face orientation angles of the rest interest photographing points and the historical play photographing image of the tourist.
7. The big data analysis based software application control system of claim 5, wherein the input of the graph neural network is the photographing map and the output of the graph neural network is a plurality of target photographing points and target facial orientations of the target photographing points.
8. The big data analysis based software application control system of claim 6, wherein the generating a guest photograph simulation image of the plurality of preliminary face orientation angles representing the point of interest based on the plurality of preliminary face orientation angles representing the point of interest, the historical play photograph image of the guest comprises: Generating a guest photographing simulation image representing the multiple primary face orientation angles of the interest photographing point by using a diffusion model based on the multiple primary face orientation angles representing the interest photographing point and the historical play photographing image of the guest.
9. An electronic device comprising a processor, a memory, and a computer program, wherein the computer program is stored in the memory and configured to be executed by the processor to implement the big data analysis based software application control method of any of claims 1 to 4.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the program, when executed by a processor, implements the software application control method based on big data analysis as claimed in any one of claims 1 to 4.

Description

Software application control method and system based on big data analysis Technical Field The invention relates to the technical field of application control, in particular to a software application control method and system based on big data analysis. Background Along with the continuous increase of the demands of tourists on the way of traveling, the digital RMB terminal is used as a portable tool integrating functions of payment, information inquiry and the like, and is increasingly widely applied in the aspect of improving the convenience of the tourists on the way of traveling. Tourists often lack knowledge about scenic spot distribution, shooting points and the like of an inbound destination in advance, are influenced by factors such as language barriers, limited information acquisition channels and the like, and are difficult to quickly screen out shooting areas and points which accord with own preferences. Traditional tourist services provide general scenic spot recommendation more, and personalized information such as tourist passing playing tracks, photographing preferences and the like is not combined, so that the problem that the matching degree of recommended content and tourist requirements is low, and high-quality photographing scenes are missed or photographing effects are poor easily occurs. Meanwhile, tourist travel planning often faces the trouble that the photographing point position is not smoothly connected with hotel site selection. How to accurately determine the face orientation of a photo spot in combination with guest preferences and determine a suitable target hotel for guests is a current challenge. Disclosure of Invention The invention mainly solves the technical problem of how to accurately determine the face orientation of a photographing point and determine a proper target hotel for tourists by combining the preference of the tourists. According to a first aspect, the invention provides a software application control method based on big data analysis, which comprises the steps of obtaining historical play records of tourists, play areas of the tourists and historical play photo images of the tourists, determining a plurality of primary selection photo areas based on the historical play records of the tourists and the play areas of the tourists, determining a plurality of primary selection photo points of each primary selection photo area 3D image based on the plurality of primary selection photo area 3D images, determining a plurality of interest photo points of the tourists based on the plurality of primary selection photo points of each primary selection photo area 3D image and the historical play photo images of the tourists, determining a plurality of interest face orientation angles of each interest photo point based on the plurality of interest photo points of the tourists and the simulated photo images of the interest face orientation angles of each interest photo point, constructing a photo map, wherein node features of the interest photo points are edges of the face orientation angles of the interest photo points, determining the photo points based on the face orientation simulated photo images of the interest points, and the photo points of the photo points, and determining the photo target photo points of the hotel target and the photo target photo targets based on the hotel target network by using the hotel target object photo imaging software. In one possible implementation, the plurality of interest photographing points comprise a representative interest photographing point and other interest photographing points, the determining of the plurality of interest face orientation angles of each interest photographing point and the guest photographing simulation image of the plurality of interest face orientation angles of each interest photographing point based on the plurality of interest photographing points of the guest comprises determining a plurality of initial face orientation angles of the representative interest photographing point based on the plurality of interest photographing points of the guest, generating a guest photographing simulation image of the plurality of initial face orientation angles of the representative interest photographing point based on the plurality of initial face orientation angles of the representative interest photographing point and the history of the guest photographing images of the guest, displaying the plurality of initial face orientation angles of the representative interest photographing point to the digital RMB terminal, and obtaining a guest photographing simulation image of the plurality of interest face orientation angles of the representative interest photographing point selected by the guest, generating the other interest photographing point simulation image of the plurality of interest photographing points based on the plurality of interest photographing points of the guest, and the other interest photographing ang