Electric Meter Socket Arc Detection Using Vibration Correlation
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Solution Overview
Problem
Existing electric meter systems face challenges in accurately detecting hot socket conditions due to intermittent connections, which can lead to false alarms caused by electromagnetic interference (EMI) and external vibrations, rather than actual arcing events.
Innovation Solution
The method involves correlating vibration signals with arc detection signals, using a processor to differentiate between external low-frequency vibrations and those caused by arc initiation and extinguishment at zero crossings of the power line signal, thereby reducing false alarms and improving detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If RF signal detection is used to detect hot socket conditions, then detection capability is improved, but false detection increases due to electromagnetic interference from other electrical equipment
Solution Approach 1:
The patent introduces vibration signals as an intermediary parameter to verify arc detection events. Instead of relying solely on RF signals which are susceptible to EMI, the system uses vibration signals generated by the physical phenomenon of arcing as a mediator to confirm true arc events and filter out false positives from electromagnetic interference
Solution Approach 2:
The patent changes the detection parameter from solely RF signal amplitude to a combination of RF signal characteristics and vibration signal characteristics. By monitoring vibration frequency, amplitude, and temporal correlation with RF events, the system transforms the detection approach to distinguish true arcing from EMI based on the unique vibrational signature of electrical arcs
2Reliability
If vibration signals are used to detect external sources, then false positive reduction is improved, but detection complexity increases due to multiple signal types requiring correlation
Solution Approach 1:
The patent segments the detection process into distinct analysis stages: RF signal monitoring, vibration signal acquisition, temporal correlation analysis, and threshold-based verification. This segmentation allows complex multi-parameter detection to be broken down into manageable processing steps, reducing overall system complexity while maintaining high reliability
Solution Approach 2:
The system implements feedback loops where vibration detection results are fed back to verify or reject RF-based arc detections. The correlation between vibration events and RF events creates a feedback mechanism that continuously refines detection accuracy, allowing the system to adapt to different operating conditions and reduce false positives
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
This approach enhances the accuracy of detecting electrical arcs that cause hot socket conditions by distinguishing between true arcing events and false positives, reducing unnecessary alerts and improving safety by accurately identifying potential fire hazards.
Implementation Method 1
a vibration sensor operable to detect a vibration signal
Implementation Method 2
an arc detector operable to detect an arc detection signal generated by the electrical arc
Data Source
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AI summary
method for electrical arc detection in an electrical connection between an electric meter and a socket is provided. The method may include receiving a vibration signal from a vibration sensor and an arc detection signal from an arc detector. The vibration signal may be correlated in time with the arc detection signal. An electrical arc may be detected based on the correlating the vibration signal with the arc detection signal.