Interactive GUI Panels for Multi-Model Simulation Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems face challenges in efficiently visualizing and analyzing large quantities of measurement data from real-world systems, particularly when multiple data models are involved, as they often use different objects and properties, making it difficult to understand interactions and optimize system performance.
Innovation Solution
The development of interactive graphical user interfaces (GUIs) that include panels for displaying and editing object properties, allowing real-time visualization and analysis of simulated models, with features like trend panels, editing modes, and customizable display options to facilitate human-machine interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple data models with different objects and properties are used to represent real-world systems, then the system can accurately represent complex technical systems, but it becomes difficult to visualize and analyze the interactions between models
Solution Approach 1:
The system segments the complex multi-model data into distinct panel components (information panel, trend panel, schematic panel, etc.), where each panel handles specific aspects of data visualization. This segmentation allows users to analyze different facets of system interactions separately while maintaining the overall complexity of the represented system.
Solution Approach 2:
The patent transitions from traditional tabular or textual data representation to a graphical user interface with multiple visual panels. This dimensional change from 1D text to 2D/3D visual representations enables users to perceive complex interactions across multiple data models simultaneously through spatial arrangement and visual encoding.
2Quantity of substance
If large quantities of measurement data are collected and stored over time, then comprehensive system information is available for analysis, but it becomes very difficult to identify, visualize, and perform analysis on relevant measurement data
Solution Approach 1:
The GUI segments large quantities of measurement data into organized panels (information panel for metadata, trend panel for temporal patterns, schematic panel for spatial relationships). This segmentation enables users to identify relevant data by navigating through structured visual groups rather than searching through undifferentiated data masses.
Solution Approach 2:
The system employs color coding and visual highlighting to differentiate various types of measurement data, objects, and properties across panels. Color changes help users rapidly identify relevant data among large quantities by providing visual cues about data categories, states, and relationships without requiring detailed inspection of each data point.
3Loss of information
If traditional data display methods are used for simulated models, then data can be stored and accessed, but real-time visualization and analysis capabilities are insufficient for effective human-machine interaction
Solution Approach 1:
The system implements dynamic panels that automatically update in real-time as simulated model data changes. The information panel, trend panel, and schematic panel respond dynamically to data updates, enabling users to perform real-time visualization and analysis while maintaining complete data storage and access capabilities. This dynamic behavior transforms static data display into an interactive analytical tool.
Solution Approach 2:
The GUI panels serve multiple functions simultaneously: they store data (information panel), visualize trends (trend panel), display spatial relationships (schematic panel), and enable user interaction (toolbar panel). This multi-functionality allows the system to maintain comprehensive data storage while providing robust real-time visualization and analysis capabilities through a unified interface.
Data Source
AI summary
Systems, computer program products, and computer-implemented methods for visualizing and interacting with a plurality of models that collectively represent a real-world system depicted in a graphical user interface. The system described herein may generate an interactive graphical user interface with multiple modes and a plurality of panels associated with the plurality of models. These panels and modes lay the framework for how a user can properly visualize and analyze the models at a particular point in time or over a period of time. The systems, computer program products, and computer-implemented methods may thus, according to various embodiments, enable a plurality of models that collectively represent a real-world system be interacted with and visualized by a graphical user interface.