A method and system for big data visualization configuration
By integrating background management, style management, chart management, and scene management modules through a big data visualization configuration method and system, the high technical threshold and fragmented data processing problems of traditional big data visualization are solved. This enables rapid configuration and data consistency for non-technical personnel, reduces system maintenance costs, and adapts to the rapid iteration needs of the tourism industry.
Patent Information
- Application Number
- CN202511457519.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-13
- Publication Date
- 2025-12-09
- Estimated Expiration
- 2045-10-13
AI Technical Summary
Traditional big data visualization practices face multiple technical hurdles, requiring developers to write a large amount of code, involving professional work such as data interface development, chart rendering logic, and front-end interaction design. This makes it difficult to cover the needs of non-technical users, and the requirements for visualization forms vary significantly across different scenarios, resulting in a long cycle from requirements communication to solution implementation. Preprocessing operations such as data cleaning and aggregation rely on external data engineers, which can easily lead to inconsistencies in data interpretation.
This paper provides a big data visualization configuration method and system. It receives editing instructions from the tourism data interface of the interaction layer, parses and determines the type of adjustment instruction, calls the backend service module to extract template data, and provides feedback materials to achieve visualization configuration. It builds a standardized third-party interface adaptation layer, integrates background management, style management, chart management, scene management and template management modules, supports personalized visual customization and rapid switching of multiple business scenarios, and combines display preview and publishing functions to reduce the technical threshold and ensure data consistency.
Business personnel can efficiently configure the tourism data interface without writing code, reducing the technical threshold by more than 80%, shortening the demand response cycle from several weeks to 1-2 days, ensuring seamless data flow, improving data consistency by 90%, reducing system maintenance costs by 60%, and adapting to the rapid iteration needs of the business.