Gas-liquid two-phase leakage ultrasonic safety detection method and device

By using a multi-channel ultrasonic sensor array and intelligent processing technology, the problems of high false alarm rate and poor robustness of existing ultrasonic detection technology in gas-liquid two-phase leakage monitoring are solved, realizing efficient identification and rapid deployment of gas-liquid two-phase leakage, and improving the safety and convenience of the system.

CN122217550APending Publication Date: 2026-06-16SHAANXI PROVINCIAL NATURAL GAS
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHAANXI PROVINCIAL NATURAL GAS
Filing Date
2026-04-08
Publication Date
2026-06-16

AI Technical Summary

Technical Problem

Existing ultrasonic detection technology has a high false negative rate and poor robustness in gas-liquid two-phase leakage monitoring. It fails to effectively adapt to the dynamic, localized, and multi-scale characteristics of gas-liquid two-phase leakage, and its installation method is not convenient for rapid deployment and maintenance.

Method used

A multi-channel ultrasonic sensor array is used for signal acquisition. Combined with dynamic noise baseline modeling and adaptive Gaussian mixture model, multi-dimensional acoustic feature parameters are extracted. A convolutional-long short-term memory hybrid neural network is used for leakage identification and risk classification. Rapid deployment is achieved through a magnetic adsorption installation device.

Benefits of technology

It enables reliable detection of gas-liquid two-phase leaks under complex operating conditions, reduces the false alarm rate, improves positioning accuracy and early warning response speed, and enhances the safety and convenience of the system.

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Abstract

The application discloses a kind of gas-liquid two-phase leakage ultrasonic safety detection method and device, it is related to mechanical engineering and nondestructive testing technical field, the method includes: deployment multichannel ultrasonic sensor array;Dynamic noise baseline based on adaptive Gaussian mixture model is constructed;Extract amplitude attenuation rate, center frequency offset and other multidimensional acoustic characteristics and calculate difference vector;Combining dynamic threshold and multi-probe time delay-amplitude information carries out leakage preliminary judgment and positioning;Through convolution-long short-term memory hybrid neural network, identify leakage mode and implement three-level risk early warning according to leakage rate.The system is composed of multichannel ultrasonic sensor array, signal processing module, feature extraction unit, positioning solution module and intelligent early warning engine.The application can realize high sensitivity detection, strong working condition adaptability, accurate positioning and quantification and closed-loop intelligent response, significantly improve the intrinsic safety level of gas-liquid two-phase flow system.
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