Generative intelligent large screen construction method and system based on natural language questions and answers

Through the generative intelligent large screen construction method based on natural language question and answer, the problem of professional and technical personnel involved in traditional large screen development is solved, and the automatic analysis and visual code generation of multi-source heterogeneous data is realized, and the automatic generation of low technical thresholds is realized and the rapid response to changes in business demands is realized.

CN120471058APending Publication Date: 2025-08-12浪潮智慧城市科技有限公司
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Patent Information

Application Number
CN202510518933.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-24
Publication Date
2025-08-12

AI Technical Summary

Technical Problem

The development of traditional data visualization large screen requires the participation of professional and technical personnel. The development cycle is long and the technical threshold is high, making it difficult to quickly respond to changes in business needs.

Method used

The generational intelligent large-screen construction method based on natural language question and answer is adopted, and the automatic analysis and visual code generation of multi-source heterogeneous data is realized through data preprocessing and knowledge base construction, problem segmentation and extraction, index data acquisition and large-screen code generation and analysis.

Benefits of technology

It realizes fully automatic generation from natural language input to large visual screens, without manual intervention, shortens development cycle, improves response efficiency, supports operation of non-professional personnel with low technical thresholds, and quickly responds to changes in business needs.

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Abstract

The invention discloses a generation type intelligent large screen construction method and system based on natural language questions and answers, and belongs to the technical field of computer software, and the method comprises the steps: data preprocessing and knowledge base construction: constructing an interface metadata description system based on a data interface, generating a high-dimensional vector through large-scale pre-training, and constructing a knowledge base; dense distributed representation of text semantics is realized; performing question segmentation and extraction: performing automatic segmentation on an intelligent large screen generation question proposed by a user by adopting a generative pre-training model, and matching an interface corresponding to an optimal interface description based on a model reasoning capability; index data acquisition: performing iterative processing by adopting a polling mode, and acquiring index data according to the interface metadata information; and large screen code generation and analysis to realize code generation of an intelligent large screen. According to the method, the problems that traditional large screen development needs to be participated by professional technicians and the response period is long are solved, automatic analysis of multi-source heterogeneous data and visual code generation are achieved, and finally an intelligent large screen application capable of being directly deployed is generated.
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