Sensor Data Visualization via Segmented Plot Formats
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Solution Overview
Problem
Displaying three-dimensional data on a two-dimensional plot often obscures fluctuations and fine details, making it difficult for users to perceive sensor measurement data effectively.
Innovation Solution
A method and system that involve storing sensor data, separating it into samples based on characteristics, and displaying each sample using different visual formats on a plot, allowing for clearer visualization of the data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If three-dimensional data is projected onto a two-dimensional plane for viewing, then the data can be displayed on a screen or printout, but fluctuations and fine details in the data sets become obscured
Solution Approach 1:
The patent segments the three-dimensional data into multiple two-dimensional projections (e.g., top view, side view, front view) and displays them as separate visual representations on the same plot. This allows users to examine fine details in each projection without the obscuring effects of combining all dimensions into a single view, while still maintaining ease of operation through integrated display.
Solution Approach 2:
The patent uses visual formatting techniques (such as different colors, patterns, or transparency levels) to encode the third dimension of data in a two-dimensional projection. This allows the data to be displayed on a standard screen while preserving fine details through enhanced visual differentiation, resolving the contradiction between ease of display and information preservation.
2Measurement precision
If multiple visual formats are used to represent different data samples, then fine details and fluctuations become more visible, but the plot complexity increases
Solution Approach 1:
The patent applies different visual formats (colors, patterns, line styles) to different data samples or regions within the plot based on their specific characteristics. This local differentiation enhances the visibility of fine details and fluctuations where they matter most, while avoiding unnecessary visual complexity in regions where simple representation suffices.
Solution Approach 2:
The patent systematically varies visual parameters (such as color hue, line thickness, or marker size) based on data sample characteristics or viewing conditions. This allows fine details to be enhanced through controlled parameter changes rather than through arbitrary complexity, maintaining measurement precision while managing plot complexity through systematic design.
Data Source
AI summary
In one aspect, a method for displaying data from at least one sensor of a machine may include storing, in a memory coupled to a computing device, a data set based on measurement information from the sensor, separating the data set into a plurality of data samples based on at least one characteristic of the measurement information, and selecting a first visual format and a second visual format from a range of visual formats. The first visual format are different from the second visual format. The method may then include displaying, with a display device, a first visual representation of a first data sample of the plurality of data samples using the first visual format via a plot and displaying a second visual representation of a second data sample of the plurality of data samples using the second visual format via the same plot.