3D Data Visualization System for Sensor Management
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Solution Overview
Problem
The increasing volume of sensor data from various devices and areas, such as HVAC systems, poses challenges in effective data management and visualization, making it difficult to compare and analyze sensor data efficiently.
Innovation Solution
A system for data visualization that includes a generation engine to create 3D visualizations, a level engine to display objects at varying detail levels, a data engine to alter settings, and a simulation engine to generate simulations based on altered settings, allowing users to navigate and compare sensor data within a spatial context.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If sensor data from multiple devices and areas is collected, then the quantity of data increases, but the difficulty of organizing and visualizing the data increases
Solution Approach 1:
The patent transitions from traditional two-dimensional data visualization to three-dimensional spatial visualization. Sensor data is mapped onto 3D models of physical environments, allowing users to navigate and analyze data through spatial relationships. This dimensional change enables intuitive organization of large datasets by location and space, reducing the complexity of data management while maintaining comprehensive data coverage.
Solution Approach 2:
The patent introduces 3D spatial models as an intermediary between raw sensor data and user analysis. These models serve as a mediator that contextualizes data from multiple sensors, making the data more manageable and easier to interpret. The spatial models organize data by physical location and provide a familiar reference framework for users, simplifying the visualization process.
2Measurement precision
If detailed sensor data is displayed, then the measurement precision improves, but the ease of operation decreases
Solution Approach 1:
The patent segments the 3D spatial model into multiple levels of detail (LODs), allowing users to navigate from a general overview to specific detailed views. Users can select areas of interest and zoom into them to access detailed sensor data, maintaining precision only where needed. This segmentation approach preserves measurement precision for critical areas while simplifying the overall interface by hiding unnecessary details in less relevant areas.
Solution Approach 2:
The system dynamically adjusts the level of detail displayed based on user interaction and spatial context. As users navigate the 3D environment and select specific locations, the system dynamically loads and displays appropriate detail levels. This dynamic adaptation maintains measurement precision for selected areas while keeping the interface simple and easy to operate by only displaying necessary details.
3Productivity
If 3D visualization is implemented, then the productivity of data analysis improves, but the device complexity increases
Solution Approach 1:
The patent implements a universal 3D visualization platform that handles multiple functions: spatial data organization, data visualization, navigation, detailed data exploration, and system monitoring. By consolidating these functions into a single integrated system, the patent reduces overall device complexity compared to having separate tools for each function, while maintaining high productivity through unified data access and analysis capabilities.
Data Source
AI summary
In one example, a system for a data visualization includes a generation engine to link data to corresponding objects within a three-dimensional (3-D) visualization of an area, a level engine to display the corresponding objects at a selected level of detail, a data engine to alter a setting of the corresponding objects upon a selection of the corresponding objects, and a simulation engine to generate a simulation of the corresponding objects within the area based on the altered setting.