Gas pipeline leakage recognition method based on deep learning in strong background noise environment

A gas pipeline, background noise technology, applied in the field of gas pipeline leak identification

CN111750283AInactive Publication Date: 2020-10-09NORTHWESTERN POLYTECHNICAL UNIV +1
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2020-10-09
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention provides a gas pipeline leakage recognition method based on deep learning in a strong background noise environment. Firstly, valve leakage and gasket leakage are simulated on a laboratory pipeline leakage simulation system and a leakage sound signal is acquired, meanwhile, a strong background (fan) noise signal is acquired in an actual pipe rack, and the leakage signal and the actualbackground signal are mixed to simulate the leakage condition in the actual pipe rack. Each each type of audio data is segmented to obtain a large number of short-term audio signals, short-time Fourier transform is performed on the audio signals, then feature enhancement processing is performed, and an enhanced feature matrix is mapped into a time-frequency map to form a dataset for underground comprehensive pipeline rack leakage detection. Then, a convolutional neural network model suitable for gas leakage detection is constructed. The feature enhancement and neural network are combined to constitute a complete and effective gas pipeline leakage detection scheme. The gas pipeline leakage recognition method can effectively improve the leakage recognition accuracy under the interference ofstrong background noise.
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Description

technical field

[0001] The invention belongs to the field of pipeline leakage detection, and in particular relates to a method for identifying gas pipeline leakage in a strong background noise environment based on deep learning. Background technique

[0002] Pipeline transportation, with its characteristics of low cost, fast transportation, high efficiency and high safety, has become the most important mode of gas transportation at present, especially in the fields of oil and gas and chemical industry. In the underground space of densely populated modern cities, there are a large number of high-pressure gas pipelines such as natural gas and heating. These pipelines will have loose joints, corrosion of pipe walls, or man-made damage during long-term use. If the leakage point is not detected in time and corresponding maintenance is carried out, the gas in the pipeline will continue to leak, and it is very easy to reach the explosion limit range in a closed space, and serious s...

Examples

Embodiment Construction

[0033] Embodiments of the present invention are described in detail below, and the embodiments are exemplary and intended to explain the present invention, but should not be construed as limiting the present invention.

[0034] The application example selected by the present invention is the leakage detection of the gas transmission pipeline of the underground comprehensive pipe gallery. In order to keep the underground comprehensive pipe gallery dry, a large number of fans are pre-installed, and the noise of the fans becomes the strong background noise in the underground comprehensive pipe gallery. Since the leakage signal in the actual pipe gallery is difficult to obtain, by simulating valve leakage and gasket leakage on the laboratory pipeline leakage simulation system and collecting the leakage sound signal, at the same time collecting strong background (fan) noise signals in the actual pipe gallery, Mix the leak signal with the actual background signal to simulate the leak...