High-Frequency Power Signal Visualization Using Trend Deviations
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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 representations, especially when zoomed out, and existing solutions like filtering or aliasing fail to accurately analyze high-frequency data.
Innovation Solution
The method involves receiving input data, dividing it into segments based on criteria like pixel resolution or zoom factors, identifying maximum and minimum values, and transforming the data into a visualizable representation by plotting these values with shading between them, which allows for efficient display and analysis of high-frequency signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-frequency data is displayed directly, then analysis accuracy is maintained, but processing time increases and representation becomes inaccurate at zoomed-out views
Solution Approach 1:
The patent divides high-frequency signal data into multiple segments based on pixel resolution or zoom factors. Each segment is processed independently to identify maximum and minimum values, enabling efficient downsampling while maintaining accuracy. This segmentation allows the system to handle large datasets by breaking them into manageable portions that can be processed quickly.
Solution Approach 2:
The patent extracts only the essential features from high-frequency data - specifically the maximum and minimum values within each segment. By taking out only these critical data points rather than processing the entire high-frequency signal, the system achieves accurate representation at reduced processing time and data volume.
2Productivity
If filtering is applied to remove high frequency, then processing speed improves, but ability to analyze high-frequency data is lost
Solution Approach 1:
The patent creates a simplified copy of the high-frequency signal by representing each segment with only its maximum and minimum values. This copied representation preserves the essential characteristics of the original high-frequency data while enabling fast processing and visualization, without requiring filtering that would remove the high-frequency information.
3Ease of operation
If aliasing is applied to display high-frequency data as lower-frequency, then visualization is achieved, but accurate representation is compromised
Solution Approach 1:
The patent applies different processing qualities to different parts of the data based on local requirements. Each segment is evaluated individually, and the maximum/minimum values are determined based on local segment characteristics rather than applying a uniform downsampling approach. This local quality approach maintains accuracy while enabling visualization.
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. The maximum and minimum may be trend maximum and minimum values. 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.