Multi-Modal Arc Fault Detection for False Alarm Reduction
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Solution Overview
Problem
Existing arc fault detection methods based on power wave analysis cannot distinguish between power wave distortions caused by arc faults and non-arc faults, leading to misjudgment and false alarms.
Innovation Solution
An arc fault detection apparatus and method that incorporates five-dimensional detection, including power wave, mechanical wave (sound and ultrasonic wave), and electromagnetic wave (radio and light wave) detection to accurately determine arc faults by analyzing electric and arc energy characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If power wave detection method is used to detect arc faults, then the detection coverage is broad, but the measurement precision is insufficient to distinguish arc faults from non-arc faults
Solution Approach 1:
The patent transitions from single-dimension power wave detection to multi-dimensional detection by incorporating mechanical wave (sound and ultrasonic) and electromagnetic wave (radio and light wave) detection dimensions. This dimensional expansion enables the system to capture comprehensive arc fault characteristics while maintaining broad detection coverage, thereby resolving the contradiction between versatility and precision.
Solution Approach 2:
The patent employs a composite detection system that integrates multiple detection modules (power wave, mechanical wave, electromagnetic wave) with different detection principles and characteristics. This composite approach combines the strengths of each detection method to achieve both broad coverage and high precision in distinguishing arc faults from non-arc faults.
2Device complexity
If single power wave detection is used, then the device complexity is low, but the reliability of fault detection is reduced due to misjudgment
Solution Approach 1:
The patent divides the detection system into independent segmentation modules: power wave detection module, mechanical wave detection module, and electromagnetic wave detection module. Each module operates independently with its own sensors and processing units, then the results are integrated by the data processing module. This segmentation maintains manageable complexity while significantly improving reliability through multi-parameter verification.
Solution Approach 2:
The patent implements a feedback mechanism where the data processing module continuously compares detection results from multiple dimensions against preset thresholds and patterns. The system provides feedback by analyzing the consistency and correlation between different detection modules, allowing dynamic adjustment of detection sensitivity and reducing misjudgments to improve overall reliability.
3Measurement precision
If multi-dimensional detection is implemented, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The patent designs a universal detection platform where a single integrated system performs multiple detection functions (power wave, mechanical wave, electromagnetic wave) using coordinated modules. The data processing module serves multiple purposes: analyzing each dimension independently, cross-validating results, and generating comprehensive fault assessments. This multi-functionality achieves high precision without proportionally increasing complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Reduces misjudgment rates and improves the accuracy and reliability of arc fault detection by comprehensively capturing arc fault characteristics through multi-dimensional analysis.
Implementation Method 1
the power wave detection module is configured to detect electric energy characteristics of a power line to be detected
Implementation Method 2
the electromagnetic wave detection module is configured to detect electromagnetic wave characteristics of the power line to be detected
Implementation Method 3
the mechanical wave detection module is configured to detect mechanical wave characteristics of the power line to be detected
Data Source
AI summary
An arc fault detection apparatus, a method, a device and a storage medium are provided. The arc fault detection apparatus detects electric energy characteristics of a power line to be detected by a power wave detection module, detects arc energy characteristics of the power line to be detected by an arc detection module, and uses a data processing module to determine whether the power line to be detected has a fault according to the electric energy characteristics, preset electric energy characteristics, the arc energy characteristics and preset arc energy characteristics, so as to achieve accurate arc measurement by means of electricity measurement and arc measurement, and further restore the arc fault characteristics more completely to eliminate the arc fault misjudgment rate and achieve accurate judgment to improve the accuracy and reliability of arc fault detection.