Waveform Capture Compression for Power Monitoring Data Volume
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Solution Overview
Problem
Electrical power monitoring systems face challenges in efficiently managing and processing large amounts of waveform capture data from devices like meters, breakers, and Intelligent Electronic Devices (IEDs), leading to increased storage costs and slowed processing times due to the sheer volume of data generated.
Innovation Solution
Implementing a method to automatically optimize waveform captures by compressing energy-related waveforms using techniques such as downsampling, resampling, and Singular-Value Decomposition, while determining the appropriateness of compression based on load types, error tolerance, and user-defined parameters, to reduce data size without losing relevant information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If waveform captures are stored in full resolution without compression, then measurement precision and data completeness are maintained, but storage costs increase and processing time increases
Solution Approach 1:
The patent extracts and removes redundant information from waveform captures by identifying and eliminating duplicate or highly similar waveform segments. This extraction process reduces the total data volume while preserving the essential unique characteristics of each waveform event, directly addressing the contradiction between maintaining measurement precision and reducing storage requirements.
Solution Approach 2:
The system dynamically adjusts compression strategies based on waveform characteristics, event types, and storage constraints. By adaptively selecting compression techniques and thresholds, the system optimizes the balance between preserving measurement precision and reducing data volume, rather than applying a static compression approach to all waveforms.
2Productivity
If waveform captures are compressed using compression techniques, then storage costs and processing time are reduced, but measurement precision and data quality may be degraded
Solution Approach 1:
The patent implements feedback mechanisms that continuously monitor the quality of compressed waveform data and adjust compression parameters accordingly. By evaluating compression results and comparing them against quality thresholds, the system can dynamically modify compression settings to maintain measurement precision while achieving productivity gains through reduced processing time.
Solution Approach 2:
The system changes compression parameters such as compression ratio, threshold values, and algorithm selection based on waveform characteristics and quality requirements. This adaptive parameter adjustment ensures that measurement precision is maintained for critical waveform features while allowing aggressive compression for less critical data, thereby improving overall processing efficiency without sacrificing accuracy.
3Adaptability or versatility
If more waveform captures are stored from multiple channels and devices, then data coverage and analysis capability are improved, but storage costs and communication bandwidth increase
Solution Approach 1:
The patent merges and consolidates waveform data from multiple channels and devices by identifying and combining redundant information. This merging process reduces the total communication bandwidth required while maintaining comprehensive data coverage, as the system intelligently aggregates data from multiple sources without duplicating identical or highly similar waveform segments across the network.
Data Source
AI summary
A method to automatically optimize waveform captures from an electrical system includes capturing at least one energy-related waveform using at least one Intelligent Electronic Device (IED) in the electrical system. The at least one captured energy-related waveform is analyzed to determine if the at least one captured energy-related waveform is capable of being compressed, while maintaining relevant attributes for characterization, analysis and/or other use. In response to determining the at least one captured energy-related waveform is capable of being compressed, while maintaining relevant attributes for characterization, analysis, and/or use, the at least one captured energy-related waveform may be compressed using at least one compression technique to generate at least one compressed energy-related waveform. One or more actions may be taken based on or using the at least one compressed energy-related waveform.