摘要：As the primary mode of transportation in the oil and gas industry, pipeline transportation offers significant advantages in terms of efficiency and cost-effectiveness. However, due to the unique working environment of buried pipelines, internal defects are prone to accumulate, leading to leakage accidents. To address these problems, firstly, an information fusion technology that integrates the features of Transient electromagnetic method (TEM) and weak magnetic field detection method (WMDM) is proposed for detecting defects in buried pipelines. Secondly, recognizing the challenge of collecting a substantial and diverse dataset of defects under actual working conditions, a defect data set of buried pipelines is constructed by combining simulation and experiments. The importance of the corresponding features of the three-dimensional information of buried pipeline defects is analyzed by the Grey Relation Analysis (GRA). Then, in view of the current poor performance of the three-dimensional defect prediction model for buried pipelines, A hybrid model combining the Multi-strategy improvement of Crested Porcupine Optimization Bidirectional Gated Recurrent neural network and Transformer mechanism (MSCPO-Transformer-BiGRU) is proposed. To validate the superiority of proposed model, the performance of MSCPO algorithm is evaluated by nine benchmark test functions. The effectiveness of the MSCPO-Transformer-BiGRU model is further assessed through comparative experiments as well as ablation experiments. The results demonstrate that proposed model exhibits exceptional accuracy and stability when predicting three-dimensional defect information in buried pipelines. Notably, when predicting the defect length information of buried pipelines, its R2, MAE, MAPE, MSE and RMSE reached 0.98, 5.7, 0.07, 44.01 and 6.63 respectively. ? 2025

ISSN号：0263-2241

卷、期、页：卷264

发表日期：2026-03-10

影响因子：0.000000

期刊分区（SCI为中科院分区）：二区

收录情况：SCI（科学引文索引印刷版）,机械工程领域高质量科技期刊分级目录（T2）,地学领域高质量科技期刊分级目录（国内T1）,EI（工程索引）,SCIE（科学引文索引网络版）

发表期刊名称：Measurement: Journal of the International Measurement Confederation

参与作者：Zhao, Yixin

通讯作者：宋福霖

第一作者：赵弘

论文类型：期刊论文

论文概要：宋福霖,赵弘,Zhao, Yixin，Three-dimensional inversion method of buried pipeline defects based on information fusion technology and MSCPO-Transformer-BiGRU model，Measurement: Journal of the International Measurement Confederation，2026，卷264

论文题目：Three-dimensional inversion method of buried pipeline defects based on information fusion technology and MSCPO-Transformer-BiGRU model