Pipeline leakage detection device based on PSO-VMD algorithm and detection method

Abstract

The invention discloses a pipeline leakage detection device based on a particle swarm optimization-variation modal decomposition (PSO-VMD) algorithm and a detection method. Sound emission signals without leakage and with leakage are acquired through a sound emission system; firstly, a preset scale K and a penalty coefficient a for sound emission signal decomposing are obtained through the PSO-VMDalgorithm, variation modal decomposition VMD is performed on the signals, and K intrinsic mode function IMF components are obtained; signal reconstruction is performed by adopting a method based on anenergy value, and an optimal observation signal after denoising is obtained; and a domain characteristic parameter of a time domain of a reconstructed signal is taken, and finally leakage detection is performed through a support vector machine (SVM) algorithm. It is achieved that pipeline leakage after happening can be found in time, and the problem that the mistaken alarming rate of a pipeline is high is solved.

Description

technical field [0001] The invention relates to an experimental device, in particular to a pipeline leakage detection device and detection method based on a PSO-VMD algorithm, which are used to detect leakage accidents in industrial pipelines. Background technique [0002] As one of the economical, efficient and easy-to-manage transportation methods, the pipeline has become one of the five contemporary transportation methods (highway, railway, waterway, aviation, pipeline). As of 2017, the total mileage of pipeline oil (gas) in my country has reached Reaching 120,000 kilometers, pipelines play an important role in the national economy. However, with the increase of pipeline mileage, it brings difficulties to the safe operation of pipelines, such as the aging of pipeline equipment, corrosion and leakage of pipelines, accidents of artificial drilling and oil theft, changes in geological conditions (earthquakes, floods, etc.), etc. Leakage and its secondary and derivative accid...

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Problems solved by technology

However, its decomposition effect depends on the preset scale K and the penalty factor α. If the artificially set preset scale K is too large or too small, it will often lead to over-decomposition and under-decomposition problems.

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