Auto-Generated Interactive Workflow Interfaces for Simulated Data Analysis
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Solution Overview
Problem
Users face difficulties in analyzing and visualizing large amounts of data, including simulated information, due to the increasing volume, making it challenging to identify and perform analysis on relevant data efficiently.
Innovation Solution
A system that automatically generates interactive graphical user interfaces using a catalog of workflow applications and templates, applying an ontology to customer data, linking data objects, and providing data APIs to create user-friendly interfaces without manual coding, enabling efficient data integration and visualization across various data sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual data analysis methods are used, then users can perform detailed analysis, but the time required increases significantly and user mental workload increases
Solution Approach 1:
The system performs automated data analysis, visualization generation, and pattern recognition without requiring manual user intervention. The computational engine automatically processes sensor data, applies simulation models, and generates interactive visualizations, allowing the system to serve itself rather than requiring continuous user direction for each analysis task.
Solution Approach 2:
Manual mechanical data analysis processes are replaced with an automated computational engine that uses simulation models and algorithms to perform data processing, analysis, and visualization generation. This substitution eliminates the need for manual data manipulation while maintaining or improving analysis quality.
2Measurement precision
If comprehensive data is collected and stored, then analysis accuracy improves, but data management complexity and retrieval difficulty increase
Solution Approach 1:
The system segments data management into distinct functional components: sensor data collection, simulation model processing, computational analysis, and visualization generation. This segmentation allows each component to handle specific data types and operations independently, reducing overall system complexity while maintaining comprehensive data processing capabilities.
Solution Approach 2:
A computational engine acts as an intermediary between raw sensor data and user-facing visualizations. This intermediary layer processes and structures data according to simulation models, automatically organizing comprehensive datasets into meaningful patterns without requiring users to directly manage the underlying data complexity.
3Ease of operation
If detailed data visualization is provided, then user understanding improves, but system complexity and processing requirements increase
Solution Approach 1:
The visualization system dynamically adapts its complexity based on user interaction and data characteristics. Interactive visualizations allow users to explore data at different levels of detail, with the system automatically adjusting the complexity of displayed information based on user selections and navigation, providing simple views when needed and detailed views when requested.
Solution Approach 2:
The system transforms complex multi-dimensional sensor data into visual representations across different spatial and temporal dimensions. By projecting data into visual spaces (graphs, charts, timelines), the system makes complex relationships perceptible without requiring users to directly process high-dimensional data structures.
4Speed
If real-time data processing is implemented, then decision-making speed improves, but computational resource requirements increase
Solution Approach 1:
The system implements periodic processing cycles where sensor data is collected over defined intervals and processed in batches through simulation models. This periodic approach allows computational resources to be efficiently utilized during processing intervals while maintaining real-time responsiveness, rather than requiring continuous full-power computation.
Data Source
AI summary
Systems, computer program products, and computer-implemented methods for generating interactive graphical user interfaces, software-based workflows, and data integrations using catalogs of workflow applications and auto-generation of aspects of the workflows. A method of the disclosure may include accessing one or more data stores that store: information indicative of one or more data sources, information indicative of one or more data object types, information indicative of one or more applications, and information indicative of compatibilities between the one or more data object types and the one or more applications; receiving a first user input indicating an association between a first data source and a first data object type; and based on the compatibilities and the indicated association, automatically populating each of the one or more applications that is compatible with the first data object type with data from the first data source, wherein populating includes generating interactive graphical user interfaces.