Underwater oil pipeline leakage detection method based on acoustic imaging and image recognition

Abstract

The application relates to the technical field of underwater detection, and discloses an underwater oil pipeline leakage detection method based on acoustic imaging and image recognition, which comprises the following steps: firstly, a wide-beam acoustic imaging is adopted to identify a candidate region with plume morphology; then, a high-coherence narrow-beam mode is switched to, the phase of a reference point echo after penetrating through the candidate region is detected, and a phase jitter quantization index is calculated; then, a collaborative judgment is carried out on the morphology feature and the phase jitter index, and a leakage event is confirmed; finally, three-dimensional scanning is carried out on the confirmed leakage region, a phase disturbance intensity spatial distribution map is constructed, and the peak point of the map is used to determine the accurate three-dimensional coordinates of a leakage source. Through the bimodal combination of the morphology feature of the target and the physical characteristic of the acoustic phase jitter caused by the leakage turbulent flow, the application can effectively distinguish the real leakage from acoustic false targets such as fish schools and suspended silt, significantly reduce the detection false alarm rate, and realize high-precision three-dimensional positioning of the leakage source.

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