Dynamic Virtual Data Analysis for Facility Performance Metrics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Analyzing performance data across multiple facilities is a time-consuming process due to the need to review extensive spreadsheets and summarize data visually, which can be tedious and inefficient.
Innovation Solution
A dynamic virtual data analysis system that retrieves performance metric data from a database, compares data between facilities and sections, and generates graphical representations, allowing users to interactively navigate and update comparisons using various user inputs, enabling efficient visualization and analysis of performance metrics in a virtual reality environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If performance data is provided in spreadsheets and summarized using visual aids such as charts, graphs, or presentations, then the data can be reviewed and analyzed, but a significant amount of time is required to review the spreadsheets, charts, graphs, and presentations
Solution Approach 1:
The patent creates virtual copies of physical facilities that can be accessed and analyzed remotely. These virtual replicas allow users to interact with facility data without physically visiting each location, significantly reducing travel time while maintaining comprehensive analysis capabilities. The virtual models serve as digital twins that preserve all relevant performance metrics and operational data.
Solution Approach 2:
The patent transitions from two-dimensional spreadsheets and charts to three-dimensional virtual representations of facilities. This dimensional enhancement allows users to visualize performance data within the spatial context of the actual facility layout, enabling more intuitive analysis and faster identification of performance issues without requiring extensive time to interpret traditional graphical summaries.
2Loss of information
If extensive spreadsheets and visual summaries are used to analyze performance data, then comprehensive data coverage is achieved, but the process becomes tedious and inefficient
Solution Approach 1:
The patent merges multiple data sources and visualization methods into a single integrated virtual facility model. Instead of separately reviewing spreadsheets, charts, graphs, and presentations, users access all performance metrics within the unified virtual environment. This consolidation maintains comprehensive data coverage while eliminating the tedious process of switching between multiple formats and tools.
Solution Approach 2:
The virtual facility model serves as an intermediary between raw performance data and user analysis. Rather than directly examining extensive spreadsheets and visual aids, users interact with the virtual model that translates complex data into intuitive spatial representations. This intermediary layer preserves all underlying data while presenting it in an easily analyzable format.
3Measurement precision
If traditional data review methods are used, then detailed analysis is possible, but the process is time-consuming and tedious
Solution Approach 1:
The patent performs preliminary actions by pre-processing and organizing performance data within the virtual facility models before user analysis. Data is structured, validated, and visualized in advance within the virtual environment, so when users access the models, the analysis work is already partially completed. This preliminary preparation maintains analytical precision while significantly reducing the time users need to spend on data review.
Solution Approach 2:
The patent replaces manual mechanical processes of reviewing spreadsheets and creating visual summaries with automated computational systems. The virtual facility models are generated and updated automatically through software processes rather than manual data entry and chart creation. This substitution maintains detailed analysis capabilities while dramatically increasing facility evaluation speed through automation.
Data Source
AI summary
Methodologies, systems, and computer-readable media are provided for dynamic virtual data analysis. A first subset of performance metric data relating to a number of facilities is compared between at least two of the facilities to generate a first level comparison. A second subset of the performance metric data associated with two or more sections of at least one facility is compared to generate a second level comparison. A processor generates a graphical representation of the first level comparison and the second level comparison. A user electronic device can receive input from a user to dynamically navigate between a rendering of the graphical representation of the first level comparison and a rendering of the graphical representation of the second level comparison. The user can also modify the first subset of data or the second subset of data to update the first level comparison or the second level comparison.