A method and system for automatic pipeline identification

Abstract

The invention relates to a method and system for automatic identification of pipelines. Methods The point cloud data of the pipeline was obtained by scanning, the pipeline point cloud model was established, and the surface markers on the pipeline in the pipeline point cloud model were extracted, and the neural network training model was used to identify the surface markers, and the obtained The pipeline identification information of the target pipeline can be obtained; the invention can greatly reduce the workload of staff in the pipeline identification process, and realize efficient and accurate automatic identification of pipelines.

Description

technical field [0001] The invention relates to the field of ship information collection, in particular to a method and system for automatic pipeline identification. Background technique [0002] After the construction of ships and chemical plants is completed, some marks will be set on the surface of the pipeline in the facility for the staff to manually identify; the staff can learn the type of target pipeline, internal medium, Pipeline flow direction, material information, and pipeline pressure, temperature, heat preservation, heat tracing and other parameters. [0003] However, if the staff is not familiar with the corresponding pipeline marking rules, it will be difficult to visually identify the pipeline system; and the pipeline may need to be inspected, maintained or redesigned during the use or operation of ships and industrial pipelines, and The prerequisite for inspection, maintenance, redesign, and transformation requires clear identification of pipelines; the ex...

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Problems solved by technology

[0003] However, if the staff is not familiar with the corresponding pipeline marking rules, it will be difficult to visually identify the pipeline system; and the pipeline may need to be inspected, maintained or redesigned during the use or operation of ships and industrial pipelines, and The prerequisite for inspection, maintenance, redesign, and transformation requires clear identification of pipelines; the existing situation is often based on manual inspection of relevant pipeline manual data, manual identification and recording of pipelines one by one, and then follow-up work. If the pipeline system involved is relatively large and complicated, the workload of manual identification is huge and the efficiency is extremely low; in addition, the results of manual identification are messy and not intuitive enough, which cannot be well used for subsequent inspection and maintenance, redesign and transformation for reference

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