A data-driven operation method and system of a digital person open platform for culture and travel

By employing a three-tiered progressive review process, BeiDou high-precision positioning, multimodal feature extraction, and LoRA low-rank adaptation technology, the system addresses issues such as non-standard creator access, content homogenization, and difficulty in cross-scenic area reuse in cultural tourism digital human guides, thereby achieving efficient and professional cultural tourism digital human guide services and platform operation.

CN122240922APending Publication Date: 2026-06-19NANJING NICEBRIDGE INFORMATION TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NANJING NICEBRIDGE INFORMATION TECH CO LTD
Filing Date
2026-03-17
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

In existing digital human guide technologies for cultural tourism, the creator access mechanism is not standardized, the content is highly homogenized, it is difficult to reuse across scenic spots, the creation toolchain is fragmented, the profit model is singular, the settlement process is cumbersome, and it is difficult to stimulate the enthusiasm of creators.

Method used

Creators are screened through a three-tiered progressive review process, generating a digital human dialogue model for cultural tourism. This model combines BeiDou high-precision positioning with GIS data to achieve cross-scenic area collaboration. Multimodal feature extraction and LoRA low-rank adaptation technology are used to train the model, and creator revenue is calculated in real time. The platform's operation is optimized based on big data analysis.

Benefits of technology

It achieves professionalism and accuracy in digital human-guided content for cultural tourism, enables automatic reuse and large-scale empowerment across scenic spots, lowers the creation threshold, improves training efficiency and semantic understanding accuracy, increases profit transparency, and stimulates creators' enthusiasm.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention provides a data-driven operation method and system for a cultural tourism digital human open platform, relating to the field of cultural tourism digital human technology. The method includes: automatically screening the qualification information of cultural tourism creators to generate onboarding review results and determine the account data of cultural tourism creators; extracting features from the cultural tourism scenic area knowledge base to generate cultural tourism knowledge feature vectors, and training mainstream large-scale models using LoRA low-rank adaptation technology to generate a cultural tourism digital human dialogue model; performing coordinate calibration and spatial fusion of scenic area geospatial information and scenic area GIS map data to generate a scenic area positioning database; if the user terminal positioning information successfully matches the distance in the scenic area positioning database, the cultural tourism digital human dialogue model is triggered; calculating the revenue settlement data of cultural tourism creators based on their operational data, while simultaneously performing user analysis and optimization adjustments, thereby deeply linking cultural tourism digital humans with scenic area scenarios, achieving automatic reuse, large-scale empowerment, and efficient platform operation of cultural tourism digital humans across scenic areas.
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