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[1]方威伦,刘啸奔,张宏,等.基于IMU检测数据的冻土区管道融沉风险段识别方法[J].油气储运,2022,41(03):288-294.[doi:10.6047/j.issn.1000-8241.2022.03.006]
　FANG Weilun,LIU Xiaoben,ZHANG Hong,et al.Identification method for thaw settlement segments of pipelines in permafrost regions based on IMU detection data[J].Oil & Gas Storage and Transportation,2022,41(03):288-294.[doi:10.6047/j.issn.1000-8241.2022.03.006]
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基于IMU检测数据的冻土区管道融沉风险段识别方法

《油气储运》[ISSN:1000-8241/CN:13-1093/TE] 卷: 41 期数: 2022年03期 页码: 288-294 栏目: 检测与完整性 出版日期: 2022-03-25
Title:
Identification method for thaw settlement segments of pipelines in permafrost regions based on IMU detection data
文章编号:
1000-8241（2022）03-0288-07
作者:
方威伦1; 2; 刘啸奔1; 张宏1; 陈朋超3; 李睿3; 赵晓明3
1.中国石油大学（北京）安全与海洋工程学院·油气管道输送安全国家工程实验室·石油工程教育部重点实验室·城市油气输配技术北京市重点实验室;2.中国能源建设集团浙江省电力设计院有限公司;3.国家管网集团北方管道公司
Author(s):
FANG Weilun1; 2; LIU Xiaoben1; ZHANG Hong1; CHEN Pengchao3; LI Rui3; ZHAO Xiaoming3
1.College of Safety and Ocean Engineering, China University of Petroleum (Beijing)//National Engineering Laboratory for Pipeline Safety//MOE Key Laboratory of Petroleum Engineering//Beijing Key Laboratory of Urban Oil and Gas Distribution Technology;2.China Energy Engineering Group Zhejiang Electric Power Design Institute Co. Ltd.;3.PipeChina North Pipeline Company
关键词:
IMU; 弯曲应变; 冻土区管道; 融沉段; 完整性管理
Keywords:
Inertial Measurement Unit (IMU);  bending strain;  pipelines in permafrost regions;  thaw settlement segments;  integrity management
分类号:
X933
DOI:
10.6047/j.issn.1000-8241.2022.03.006
文献标志码:
A
摘要:
惯性测量单元（InertialMeasurementUnit，IMU）可检测得到管道全线的弯曲应变海量数据，但目前缺乏高效利用IMU数据进行管道定量评价的方法。为此，提出一种基于IMU应变检测数据的冻土区融沉风险段管道识别方法，其主要包括IMU应变数据预处理方法，即数据对齐和弯头、凹陷、三通等非融沉段大应变特征识别方法，以及通过预设识别阈值和待查异常管段建立的地质灾害段快速定位方法。采用该识别方法对漠大一线冻土区管道2013—2018年的IMU检测数据进行了识别分析，识别结果与几何检测数据吻合较好。在此基础上，统计了该冻土区管道不同区域的异常管段分布情况，结果表明：季节冻土区较多年冻土区地质变化点更多，但变化较小。该研究为地质灾害地段管道的完整性评价提供了定量数据，能够用于解决目前管道外部载荷无法确定的技术瓶颈，是管道完整性评价技术发展的重要方向。（图5，表1，参20）
Abstract:
Massive data of bending strain along pipelines can be detected by the Inertial Measurement Unit (IMU), but there is no effective method available for the quantitative evaluation of pipelines with the IMU data so far. To address this issue, an identification method was proposed for thaw settlement segments of pipelines in permafrost zones based on IMU strain data. The method mainly includes the pre-processing method of IMU strain data, i.e., the data alignment method, the identification method of large strain characteristics of the non-thaw settlement pipeline segments, such as bends, dents and tees, and the quick positioning method of geological disaster pipeline segments determined by presetting the identification threshold and the abnormal pipeline segments to be inspected. Thus, the IMU detection data of the First Mohe?Daqing Pipeline in the permafrost region during 2013 to 2018 were identified and analyzed, and the identification results were in good agreement with the geometric inspection data. On that basis, a statistical analysis was made to study the distribution of abnormal pipeline segments in various areas of this permafrost region. The results indicate that the seasonal frozen region has more geological change points than the permafrost region, but the change is small. Generally, quantitative data are provided through this research for the integrity assessment of pipelines in geological disaster areas, which could be used to solve the technical bottleneck of failure to determine the external load of pipelines at present. Hence, it is a significant new direction for the development of pipeline integrity assessment technology. (5 Figures, 1 Table, 20 References)

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备注/Memo

基金项目：国家重点研发计划项目“油气长输管道及储运设施检验评价与安全保障技术”，2016YFC0802105；中国石油大学（北京）青年拔尖人才基金资助项目“断层作用下高强钢管道失效机理与可靠性评价”，2462018YJRC019。
作者简介：方威伦，男，1996年生，助理工程师，2021年硕士毕业于中国石油大学（北京）安全科学与工程专业，现主要从事建筑和市政工程安全管理方面的研究工作。地址：浙江省杭州市西湖区古翠路68号，310012。电话：13241296143。Email：fangweilun@outlook.com
通信作者：刘啸奔，男，1991年生，副教授，2018年博士毕业于中国石油大学（北京）安全科学与工程专业，现主要从事油气储运设施结构强度与安全评价方面的研究和教学工作。地址：北京市昌平区府学路18号，102249。电话：15810556969。Email：xiaobenliu@cup.edu.cn
（收稿日期：2020-07-09；修回日期：2022-01-23；编辑：刘朝阳）

更新日期/Last Update: 2022-03-10