Data Visualization System With Distributed Processing Modules
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Solution Overview
Problem
Conventional data visualization systems face challenges in efficiently processing and visualizing complex, real-time data from multiple sources due to limitations in data processing speed, storage, and compatibility with various devices, leading to inaccuracies and inefficiencies.
Innovation Solution
A system comprising a database arrangement and a server arrangement with modules for user profile management, data processing, and visualization, which retrieves and filters data from distributed sources, generates data-objects, and updates visualizations in real-time, using a user interface for data source definition and visualization requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single system performs all data visualization operations, then device complexity is reduced, but data processing speed and reliability deteriorate
Solution Approach 1:
The patent divides the data visualization system into multiple independent components: data source modules, data processing modules, visualization generation modules, and device-specific rendering modules. Each component performs specialized functions, allowing parallel processing and improving overall data processing speed while maintaining manageable complexity through modular architecture.
Solution Approach 2:
The patent introduces intermediary layers including data processing servers and cloud-based processing platforms that mediate between data sources and visualization devices. These intermediaries handle complex data processing tasks, filtering, aggregation, and transformation, enabling fast processing without requiring each device to perform all operations independently.
2Ease of operation
If manual data visualization methods are used, then ease of operation is improved, but accuracy and time consumption worsen
Solution Approach 1:
The patent implements automated data processing and visualization generation systems that perform data retrieval, processing, analysis, and visualization creation without manual intervention. The system automatically connects to data sources, processes incoming data streams, generates appropriate visualizations, and updates displays in real-time, eliminating manual errors while maintaining operational simplicity through user-friendly interfaces.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system continuously monitors data quality, processing performance, and visualization accuracy. Automated validation and verification processes detect and correct errors, ensuring high accuracy while maintaining ease of operation through self-correcting capabilities.
3Adaptability or versatility
If conventional data processing is used, then device compatibility is improved, but real-time processing capability deteriorates
Solution Approach 1:
The patent transitions from single-device processing to a multi-dimensional distributed processing architecture involving data sources, processing servers, cloud platforms, and various visualization devices. This dimensional expansion allows parallel processing across multiple nodes, achieving real-time processing speeds while maintaining compatibility with diverse devices through standardized communication protocols and adaptive rendering.
Solution Approach 2:
The patent creates universal data processing and visualization frameworks that can operate across multiple device types including mobile devices, VR/AR headsets, tablets, and desktop computers. The system uses adaptable visualization formats and responsive design principles to maintain compatibility while leveraging the processing power of distributed systems for real-time performance.
Data Source
AI summary
Disclosed is system and method for generating data visualization. The system comprises a database arrangement configured to store data retrieved from one or more data sources, and a server arrangement comprising a user profile module configured to define one or more user profiles, and associate one or more data sources and data-object thereto; a receiving module configured to receive data visualization request from the user profile; and a data processing module configured to determine connections between the one or more data sources and data-object based on the user profile; select one or more data sources from the one or more data sources based on the data visualization request; retrieve data associated with the one or more selected data sources based on the data visualization request; and generate at least one data-object based on the retrieved data from the one or more selected data sources and defined connections therewith.