GIS Gas Leak Monitoring Using Dual-Chamber Wiener Filtering
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Solution Overview
Problem
Current gas monitoring systems for gas-insulated switchgears (GIS) face challenges in accurately identifying SF6 leakage rates due to noise from environmental conditions, leading to errors and potential false alarms, and require extensive data collection, often taking up to 28 days to determine leak rates reliably.
Innovation Solution
A gas monitoring system utilizing two sensors in separate, gas-tight chambers within GIS, employing an adaptive Wiener filter to calculate the leakage rate of SF6 by denoising sensor measurements, allowing for accurate determination within a day and reducing false alarms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If linear regression algorithm is used to calculate leak rate, then leak rate can be determined, but measurement precision deteriorates due to environmental noise and requires up to 28 days of data
Solution Approach 1:
The patent introduces a reference chamber as an intermediary element that experiences the same environmental conditions as the measurement chamber but does not contain the insulating gas. By comparing the sensor signals from both chambers, the system can identify and subtract environmental noise components, thereby improving measurement precision and enabling faster leak rate determination without requiring 28 days of data collection
Solution Approach 2:
The system uses feedback by continuously comparing the measurement chamber signal with the reference chamber signal. The difference between these signals provides real-time information about actual gas leakage versus environmental fluctuations, enabling the system to achieve accurate leak rate measurements in a much shorter time frame while compensating for environmental noise
2Reliability
If simple linear regression algorithm is used, then device complexity is reduced, but reliability deteriorates due to false alarms from noise fluctuations
Solution Approach 1:
The reference chamber serves as a mediator that provides a baseline signal representing environmental conditions. By comparing the measurement chamber signal against this reference, the system can reliably distinguish between actual leaks and noise fluctuations, significantly improving leak detection reliability without requiring complex signal processing algorithms
Solution Approach 2:
The system changes the approach from analyzing absolute pressure values to analyzing the difference or ratio between measurement and reference chamber signals. This parameter transformation inherently eliminates common environmental noise sources, improving reliability while keeping the processing logic relatively simple
Data Source
Figure 1~2
AI summary
The present invention concerns a gas monitoring system (1) comprising a gasinsulated switchgear (10), wherein the gas-insulated switch gear (10) has at least two separated chambers (11, 12) which are filled with an insulating gas (15) surrounding high or medium voltage components (16), further comprising a first sensor (21) connected to the first chamber (11) and a second sensor (22) connected to the second chamber (12), both sensors (21, 22) adapted to measure a physical property of the insulating gas (15) in their respective chambers (11, 12) over time, and further comprising a computer unit (25) adapted to calculate from the two sensor measurements a leakage rate of the insulating gas (15) in one of the two chambers (11, 12) using an adaptive filter, in particular a Wiener filter.