A kind of pipeline positioning method

Abstract

The invention discloses a pipeline positioning method. The pipeline positioning method comprises the steps that original signals are subjected to CEEMD; then noise-containing signals which are formedafter decomposition is accomplished are subjected to noise removal; cross-correlation calculation is conducted on the signals, and invalid redundancy components are removed according to the cross-correlation degree; and finally, the signals which are subjected to decomposition and noise removal are rebuilt, single leakage source signals are isolated through FastICA, and leakage points are positioned by use of a time difference positioning formula. The experiment result shows that the pipeline positioning method is suitable for detection and positioning of multi-point leakage of a metal pipeline, can improve the accuracy of pipeline leakage positioning to a large extent, and provides the powerful theoretical basis and the practical experience for practical engineering application.

Description

technical field [0001] The invention relates to the technical field of pressure pipeline leakage monitoring. More specifically, the invention proposes a pipeline positioning method, specifically a CEEMD-based urban pipeline leakage detection and precise positioning method. Background technique [0002] Pipeline transportation is the most economical transportation option when transporting large quantities of oil, gas, chemicals and water. It has the advantages of large transportation volume, uninterrupted transmission, and not affected by other factors such as climate. Therefore, pipeline transportation has become the fifth major mode of transportation after road transportation, railway transportation, water transportation and air transportation. [0003] During the long-term use of urban pipelines, it is easy to cause leakage due to various factors such as internal and external corrosion. Especially the small leaks that occurred in the early stage, due to the characteristi...

AI Technical Summary

Problems solved by technology

In fact, CEEMD is not perfect, there are two main problems, one is the residual noise in the mode after signal decomposition; the other is the existence of redundant modes

In June 2017, in the article "Seismic Signal Denoising Based on ICEEMD", Yang Kai used the improved CEEMD method to denoise the noisy signal, but did not further process the invalid redundant components in the algorithm process

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