High-Frequency Signal Data Segmentation for Power System Visualization
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Solution Overview
Problem
Current methods for displaying high-frequency signal data in electrical power distribution systems face issues such as slow processing times and inaccurate representation, especially when zoomed out, and existing solutions like filtering or aliasing fail to accurately depict high-frequency data.
Innovation Solution
A system and method that processes input data by dividing it into segments, identifying maximum and minimum values, and transforming it into a visualizable representation, including plots with shaded regions and overlays, to efficiently display high-frequency signal data while preserving raw data for downstream devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-frequency data is displayed directly, then the data representation is accurate, but the processing time is slow and the display becomes inaccurate when zoomed out
Solution Approach 1:
The patent divides the high-frequency data into multiple segments or bins, processing and displaying only the maximum and minimum values from each segment rather than all individual data points. This segmentation approach maintains representation accuracy while reducing processing time and improving scalability when zoomed out.
Solution Approach 2:
The patent extracts key characteristics (maximum and minimum values) from the high-frequency data segments and displays only these extracted features. This extraction eliminates redundant data while preserving the essential information needed for accurate representation across different zoom levels.
2Productivity
If a filter is applied to remove high frequency, then the display processing is faster, but the high-frequency data analysis capability is lost
Solution Approach 1:
Instead of filtering out high-frequency data, the patent segments the data into bins and preserves the maximum and minimum values from each segment. This maintains the high-frequency information for analysis while enabling faster display processing by reducing the number of data points that need to be rendered.
Solution Approach 2:
The patent extracts the maximum and minimum values from each data segment, preserving the essential high-frequency characteristics without removing the data. This extraction approach maintains analysis capability while significantly improving display processing speed.
3Productivity
If aliasing is applied to render high-frequency data, then the display performance is improved, but the data representation becomes inaccurate
Solution Approach 1:
The patent segments the high-frequency data into discrete bins and displays the maximum and minimum values from each segment. This segmentation approach achieves improved display performance by reducing data volume while maintaining accurate representation, avoiding the distortion introduced by aliasing.
Solution Approach 2:
The patent extracts maximum and minimum values from data segments to create an accurate representation. This extraction method improves display performance by reducing processing load while preserving data accuracy, in contrast to aliasing which introduces representation errors.
4Loss of information
If all high-frequency data is displayed, then the data completeness is maintained, but the data requirements for transmission and storage increase
Solution Approach 1:
The patent extracts only the maximum and minimum values from each data segment, reducing the quantity of data for transmission and storage while maintaining data completeness through the preservation of key statistical characteristics.
Solution Approach 2:
The patent applies different levels of data retention to different segments, keeping maximum and minimum values in each segment while reducing overall data volume. This local quality approach maintains data completeness where needed while reducing total data requirements.
Data Source
AI summary
A system, method, and computer program product are provided for representation of high-frequency signal data. In use, input data is received including high-frequency signals, wherein the input data is of a first width. Next, the input data is processed to manage display of the input data, where specifically the input data is divided into one or more segments based on first criteria including the first width, and from each segment of the one or more segments, a maximum value is identified and a minimum value is identified. Still yet, the input data is transformed to a visualizable representation of the high-frequency signals, the visualizable representation of the high-frequency signals including a plot of the maximum value and the minimum value for each segment of the one or more segments. Additionally, the plot is displayed.