A survey on pipeline magnetic flux leakage inspection data processing technology

Dongsheng Zhao; Lijian Yang; Yiran Liu; Hao Geng; Sen Wang

doi:10.1117/12.2641328

10 November 2022 A survey on pipeline magnetic flux leakage inspection data processing technology

Dongsheng Zhao, Lijian Yang, Yiran Liu, Hao Geng, Sen Wang

Proceedings Volume 12348, 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022); 123482M (2022) https://doi.org/10.1117/12.2641328
Event: 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), 2022, Zhuhai, China

Abstract

Pipeline Magnetic Flux Leakage (MFL) inspection data processing is a necessary part of the pipeline internal detection tasks, which results are the bases of excavation and maintenance. At present, pipeline construction is increasing rapidly. Thus, pipeline inspection and maintenance work will increase year by year. In order to improve the work efficiency and quality, detection data processing should be done automatically or intelligently by computer instead of artificial way. Considering that MFL detection is still the mainstream of long-distance oil and gas pipeline inspection method, some processing technology for MFL data, such as pre-processing, data visualization, MFL image recognition and defect qualification, etc., is summarized, and its difficulties and hotspots are discussed.

Citation Download Citation

Dongsheng Zhao, Lijian Yang, Yiran Liu, Hao Geng, and Sen Wang "A survey on pipeline magnetic flux leakage inspection data processing technology", Proc. SPIE 12348, 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), 123482M (10 November 2022); https://doi.org/10.1117/12.2641328

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