Circuit Breaker Gas Monitoring Using Pressure Variability
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Solution Overview
Problem
Existing methods for monitoring circuit breakers, particularly those using SF6 gas, face challenges in accurately detecting leaks and preventing false positives, leading to potential environmental and operational issues due to long-term losses and contamination.
Innovation Solution
A method involving data collection of gas characteristics, calculation of standard deviation over a specific period, and comparison with a predefined threshold to trigger actions, combined with a monitoring system that includes a processor and data storage for secure dataset management and notification, effectively detects gas loss early and reduces false positives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing monitoring systems are used to detect gas loss in circuit breakers, then gas leakage detection is provided, but the rate of false positive detections is high and accuracy is insufficient
Solution Approach 1:
The patent changes the monitoring parameter from simple gas pressure to standard deviation of gas characteristics over time. By calculating standard deviation of gas pressure measurements taken at different times (accounting for temperature variations), the system transforms the detection approach to distinguish between normal fluctuations and actual leakage, thereby improving accuracy and reducing false positives
Solution Approach 2:
The system implements continuous monitoring with feedback loops where gas characteristics are measured, compared against threshold values, and trigger appropriate actions. The standard deviation calculation provides feedback on the stability of gas characteristics, enabling the system to adapt its detection sensitivity and reduce false alarms while maintaining reliable leakage detection
2Ease of operation
If simple monitoring methods are used, then the system is easy to operate, but detection accuracy and reliability are insufficient
Solution Approach 1:
The monitoring system performs self-service by automatically calculating standard deviation and comparing measurements against predefined thresholds without requiring complex manual analysis. The system autonomously determines when gas loss occurs by processing its own measurement data through statistical calculations, maintaining ease of operation while achieving high detection accuracy
Solution Approach 2:
The patent transforms the monitoring approach by changing from direct pressure threshold comparison to standard deviation analysis of pressure measurements over time. This parameter transformation enables the simple system to achieve high accuracy by accounting for environmental variations like temperature, converting a potentially complex statistical analysis into an automated routine operation
3Loss of time
If long-term monitoring is implemented to detect early gas loss, then detection time is extended, but system complexity increases
Solution Approach 1:
The system performs preliminary actions by continuously collecting and analyzing gas characteristic data over extended periods to establish baseline behavior patterns. By calculating standard deviation over multiple measurements taken at different times, the system prepares in advance to detect early signs of leakage, enabling timely detection without requiring complex real-time analysis infrastructure
Solution Approach 2:
The monitoring system serves itself by automatically managing long-term data collection and statistical analysis without external intervention. The automated standard deviation calculation and threshold comparison enable the system to maintain extended monitoring capabilities while keeping operational complexity low, as the system autonomously processes its own accumulated data
Data Source
AI summary
An optimized method of monitoring a circuit breaker containing a gas with at least one gas characteristic providing a numerical value includes the steps of a) collecting a dataset referring to the at least one gas characteristic inside the circuit breaker, wherein the dataset contains the numerical value of the at least one gas characteristic during a specific condition or specific time of the day, b) calculation of a standard deviation of the at least one gas characteristic of the datasets of at least 3 days of the last 10 days, c) comparing the standard deviation of the gas pressure with a predefined threshold value, and d) triggering a first action in case the standard deviation exceeds the threshold value.