[1]刘啸奔,刘燊,季蓓蕾,等.基于IMU数据的管道弯曲变形段智能识别方法[J].油气储运,2021,40(11):1228-1235.[doi:10.6047/j.issn.1000-8241.2021.11.004]
 LIU Xiaoben,LIU Shen,JI Beilei,et al.Intelligent identification method of pipeline sections with bending deformation based on IMU data[J].Oil & Gas Storage and Transportation,2021,40(11):1228-1235.[doi:10.6047/j.issn.1000-8241.2021.11.004]
点击复制

基于IMU数据的管道弯曲变形段智能识别方法

参考文献/References:


[1] 高宁,张宏,刘高灵,陈朋超,施宁,刘啸奔. 连续地表位移作用 下埋地管道应变计算模型[J]. 油气储运,2021,40(7):809-815. GAO N, ZHANG H, LIU G L, CHEN P C, SHI N, LIU X B. Calculation model for strain of buried pipeline under the action of continuous surface displacement[J]. Oil & Gas Storage and Transportation, 2021, 40(7): 809-815.
[2] 董飞飞,张东山,田江平,佘艳华,杜国锋. 冲击载荷作用下埋地长 输管道动力响应研究[J]. 石油机械,2020,48(1):132-141. DONG F F, ZHANG D S, TIAN J P, SHE Y H, Du G F. Study on dynamic response of buried long distance pipeline under impact load[J]. China Petroleum Machinery, 2020, 48(1): 132-141.
[3] 白冰洁,黄子川,杜国峰. 冲击载荷作用下埋地管道的破坏形态研 究[J]. 石油机械,2020,48(12):146-152. BAI B J, HUANG Z C, DU G F. Research on the failure mode of buried pipeline under impact load[J]. China Petroleum Machinery, 2020, 48(12): 146-152.
[4] 赵晓明,李睿,陈朋超,冯文兴,富宽,郑健峰,等. 中俄东线天然气 管道弯曲变形识别与评价[J]. 油气储运,2020,39(7):763-768. ZHAO X M, LI R, CHEN P C, FENG W X, FU K, ZHENG J F, et al. Identification and evaluation on bending deformation of China-Russia Eastern Gas Pipeline[J]. Oil & Gas Storage and Transportation, 2020, 39(7): 763-768.
[5] 董瑾. 基于应变设计的管线钢管变形行为研究述评[J]. 西安石油 大学学报(自然科学版),2019,34(4):96-102. DONG J. Comment on studies of deformation behavior of pipeline steel based on strain design[J]. Journal of Xi'an Shiyou University (Natural Science Edition), 2019, 34(4): 96-102.
[6] VAVILOVA N B, GOLOVAN A A, KOZLOV A V, NIKITIN I V, PANYOV A A, PARUSNIKOV N A, et al. A navigation system of a pipeline inspection system for oil and gas pipelines: the results of the development and testing[C]. St. Petersburg: 22nd Saint Petersburg International Conference on Integrated Navigation Systems, 2005: 357-362.
[7] 林现喜,李银喜,周信,张克政. 大数据环境下管道内检测数据 管理[J]. 油气储运,2015,34(4):349-353. LIN X X, LI Y X, ZHOU X, ZHANG K Z. Management of inline inspection data of pipelines under the environment of big data[J]. Oil & Gas Storage and Transportation, 2015, 34(4): 349-353.
[8] 李睿,张琳,赵晓利,李博,张新宇,靳元章,等. 油气长输管道长 期应变及位移监测[J]. 石油机械,2016,44(6):118-122. LI R, ZHANG L, ZHAO X L, LI B, ZHANG X Y, JIN Y Z, et al. Long-term strain and displacement monitoring of long-distance oilgas pipeline[J]. China Petroleum Machinery, 2016, 44(6): 118-122.
[9] 王富祥,冯庆善,杨建新,周利剑,陈健. 油气管道惯性测绘内检 测及其应用[J]. 油气储运,2012,31(5):372-375,407. WANG F X, FENG Q S, YANG J X, ZHOU L J, CHEN J. Inertial surveying internal detection method and its application in oil and gas pipeline[J]. Oil & Gas Storage and Transportation, 2012, 31(5): 372-375, 407.
[10] 李睿,刘贺子,陈朋超,宋乔,张逸夫,赵晓利,等. 冻土区管道弯 曲应变及位移监测方法[J]. 油气储运,2017,36(4):393-397,408. LI R, LIU H Z, CHEN P C, SONG Q, ZHANG Y F, ZHAO X L, et al. Bending strain and displacement monitoring method for pipelines in permafrost zones[J]. Oil & Gas Storage and Transportation, 2017, 36(4): 393-397, 408.
[11] 李睿,赵晓明,赵连玉,陈朋超,冯庆善. 长输管道中心线及应变 位移检测系统[J]. 石油科技论坛,2016,35(增刊1):197-200. LI R, ZHAO X M, ZHAO L Y, CHEN P C, FENG Q S. Central line and strain & displacement inspection system of long distance pipelines[J]. Petroleum Science and Technology Forum, 2016, 35(S1): 197-200.
[12] 张宏. 解读黄岛事故调查报告,落实管道完整性管理[J]. 油气 储运,2014,33(11):1171-1173. ZHANG H. To implement the pipeline integrity management by learning from Huangdao accident[J]. Oil & Gas Storage and Transportation, 2014, 33(11): 1171-1173.
[13] 陈朋超,冯文兴,燕冰川. 油气管道全生命周期完整性管理体 系的构建[J]. 油气储运,2020,39(1):40-47. CHEN P C, FENG W X, YAN B C. Construction of full life cycle integrity management system for oil and gas pipelines[J]. Oil & Gas Storage and Transportation, 2020, 39(1): 40-47.
[14] 冯庆善. 管道完整性管理实践与思考[J]. 油气储运,2014, 33(3):229-232. FENG Q S. Practice and cogitation on pipeline integrity management[J]. Oil & Gas Storage and Transportation, 2014, 33(3): 229-232.
[15] 于吉洋. 石油管道测绘的数据处理及融合方法研究[D]. 南京: 南京航空航天大学,2017. YU J Y. Studying on data processing and fusion method of pipeline surveying and mapping[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2017.
[16] 邵兴臣,段发阶,蒋佳佳,牛广越,刘志博. 基于自适应滑动均 值和小波阈值的叶尖间隙信号降噪方法[J]. 传感技术学报, 2021,34(1):34-40. SHAO X C, DUAN F J, JIANG J J, NIU G Y, LIU Z B. Denoising method of blade tip clearance signal based on adaptive moving average and wavelet threshold[J]. Chinese Journal of Sensors and Actuators, 2021, 34(1): 34-40.
[17] 孙炯宁,傅德胜,徐永华. 无偏风险阈值及其在语音去噪中的 应用[J]. 微计算机应用,2004,25(6):688-691. SUN J N, FU D S, XU Y H. Unbiased risk thresholding apply in the speech de-noising[J]. Microcomputer Applications, 2004, 25(6): 688-691.
[18] 李维松,许伟杰,张涛. 基于小波变换阈值去噪算法的改进[J]. 计算机仿真,2021,38(6):348-351,356. LI W S, XU W J, ZHANG T. Improvement of threshold denoising method based on wavelet transform[J]. Computer Simulation, 2021, 38(6): 348-351, 356.
[19] 卢健,张倩,左世祥,张晓峰,曾克勤,陈建华. Web 地图热力图 原理及应用[J]. 科技创新与应用,2019(35):174-176. LU J, ZHANG Q, ZUO S X, ZHANG X F, ZENG K Q, CHEN J H. Principle and application of Web map thermograph[J]. Technology Innovation and Application, 2019(35): 174-176.
[20] 王博,胡晓妍,于芳珠,刘登勇. 基于机器视觉技术制作烤羊肉 比色卡[J/OL]. 食品工业科技:1-12. (2021-09-24)
[2021-09- 26]. https://doi.org/10.13386/j.issn1002-0306.2021070346.DOI: 10.13386/j.issn1002-0306.2021070346. WANG B, HU X Y, YU F Z, LIU D Y. Making roasted mutton colourimetric card based on machine vision technology[J/OL]. Science and Technology of Food Industry: 1-12.(2021-09-24)
[2021-09-26]. https://doi. org/10.13386/j.issn1002-0306.2021070346. DOI: 10.13386/ j.issn1002-0306.2021070346.
[21] ZHANG G L, WANG M, LIU K. Deep neural networks for global wildfire susceptibility modelling[J]. Ecological Indicators, 2021, 127: 107735.
[22] 潘安迪,肖川,陈曦. 基于改进视觉词袋模型的水声目标识别[J]. 计算机系统应用,2021,30(5):170-175. PAN A D, XIAO C, CHEN X. Underwater acoustic target recognition based on improved bag of visual words[J]. Computer Systems & Applications, 2021, 30(5): 170-175.
[23] RAUTELA M , SENTHILNAT H J , MOL L J , GOPALAKRISHNAN S. Combined two-level damage identification strategy using ultrasonic guided waves and physical knowledge assisted machine learning[J]. Ultrasonics, 2021, 115: 106451.
[24] 彭建盛,李涛涛,侯雅茹,许恒铭. 基于机器学习的裂纹识别研 究现状及发展趋势[J]. 广西科学,2021,28(3):215-228. PENG J S, LI T T, HOU Y R, XU H M. Research status and development trend of crack recognition based on machine learning[J]. Guangxi Sciences, 2021, 28(3): 215-228.
[25] 封雨鑫,邓宏贵,程钰. 基于卷积神经网络的焊缝表面缺陷检 测方法[J]. 计算机测量与控制,2021,29(7):56-60,66. FENG Y X, DENG H G, CHENG Y. Weld surface defect detection method based on convolution neural network[J]. Computer Measurement & Control, 2021, 29(7): 56-60, 66.
[26] 李国玉,曹亚鹏,马巍,金晓颖,陈朋超,俞祁浩,等. 中俄原 油管道冻土灾害问题及防控对策研究[J]. 中国科学院院刊, 2021,36(2):150-159. LI G Y, CAO Y P, MA W, JIN X Y, CHEN P C, YU Q H, et al. Permafrost engineering problem along China-Russia Crude Oil Pipeline and mitigative measure[J]. Bulletin of the Chinese Academy of Sciences, 2021, 36(2): 150-159.

相似文献/References:

[1]荆宏远,郝建斌,陈英杰,等.管道地质灾害风险半定量评价方法与应用[J].油气储运,2011,30(07):497.[doi:10.6047/j.issn.1000-8241.2011.07.005]
 Jing Hongyuan,Hao Jianbin,Chen Yingjie,et al.Technique and application of geologic hazard risk semi-quantitative assessment of pipeline[J].Oil & Gas Storage and Transportation,2011,30(11):497.[doi:10.6047/j.issn.1000-8241.2011.07.005]
[2]陈朋超,杨宝玲,王民.漠大管道及其多年冻土区域地质灾害风险[J].油气储运,2011,30(08):621.[doi:10.6047/j.issn.1000-8241.2011.08.006]
 Chen Pengchao,Yang Baoling,Wang Min.Geological disaster risk analysis and management solutions for Mohe-Daqing Oil Pipeline in permafrost regions[J].Oil & Gas Storage and Transportation,2011,30(11):621.[doi:10.6047/j.issn.1000-8241.2011.08.006]
[3]付立武.油气长输管道维抢修预警分级响应体系[J].油气储运,2012,31(5):390.[doi:10.6047/j.issn.1000-8241.2012.05.018]
 Fu Liwu.Grading response system for repair and warning of long-distance oil and gas pipeline[J].Oil & Gas Storage and Transportation,2012,31(11):390.[doi:10.6047/j.issn.1000-8241.2012.05.018]
[4]李伟林,栾鲁滨,杨国荣,等.忠武输气管道山区地质灾害的监测[J].油气储运,2009,28(11):35.[doi:DOI:10.6047/j.issn.1000-8241.2009.11.008]
 LI Weilin,LUAN Lubin.Mountainous Geological Hazards Monitoring for Zhongxian-Wuhan Gas Transmission Pipeline[J].Oil & Gas Storage and Transportation,2009,28(11):35.[doi:DOI:10.6047/j.issn.1000-8241.2009.11.008]
[5]程绍军,赵永忠.大口径油气长输管道水压试验的一般作法[J].油气储运,2009,28(3):32.[doi:10.6047/j.issn.1000-8241.2009.03.010]
 CHENG Shaojun,ZHAO Yongzhong.Common Technique for Hydrostatic Tests of Large-diameter and Long-distance Oil and Gas Pipelines[J].Oil & Gas Storage and Transportation,2009,28(11):32.[doi:10.6047/j.issn.1000-8241.2009.03.010]
[6]李伟林.忠武输气管道的地质灾害监测[J].油气储运,2007,26(5):26.[doi:10.6047/j.issn.1000-8241.2007.05.007]
 LI Weilin.Geological Hazards Monitoring of Zhongxian-Wuhan Gas Transmission Pipeline[J].Oil & Gas Storage and Transportation,2007,26(11):26.[doi:10.6047/j.issn.1000-8241.2007.05.007]
[7]仝兴华,薛世峰,单新建.山体滑坡和泥石流灾害动态监测技术研究[J].油气储运,2006,25(10):7.[doi:10.6047/j.issn.1000-8241.2006.10.002]
 TONG Xinghua,XUE Shifeng.The Study of Real-Time Monitoring Technique in Landslide and MudflowPrediction[J].Oil & Gas Storage and Transportation,2006,25(11):7.[doi:10.6047/j.issn.1000-8241.2006.10.002]
[8]王卫民,张文伟.黄土地区长输管道地质灾害分析及治理[J].油气储运,2001,20(4):28.[doi:10.6047/j.issn.1000-8241.2001.04.008]
 Wang Weimin,Zhang Wenwei.Analysis on Hazardous Geology of Loess Area where Pipeline Passes through and Hazard Rectification[J].Oil & Gas Storage and Transportation,2001,20(11):28.[doi:10.6047/j.issn.1000-8241.2001.04.008]
[9]郝建斌,刘建平,石蕾,等.兰成渝成品油管道沿线地质灾害危险度区划[J].油气储运,2008,27(4):49.[doi:10.6047/j.issn.1000-8241.2008.04.013]
 HAO Jianbin,LIU Jianping.Zonaion of Danger Degree of Geological Hazards over Lanzhou-Chengdu-Chongqing Products Pipeline[J].Oil & Gas Storage and Transportation,2008,27(11):49.[doi:10.6047/j.issn.1000-8241.2008.04.013]
[10]张薇,郭书太,耿晓梅.管道工程中膨胀土特性和灾害防治[J].油气储运,2010,29(4):277.[doi:10.6047/j.issn.1000-8241.2010.04.011]
 Zhang Wei,Guo Shutai,Geng Xiaomei.Characteristics of Expansive Soil and Countermeasures against Disasters in Pipeline Projects[J].Oil & Gas Storage and Transportation,2010,29(11):277.[doi:10.6047/j.issn.1000-8241.2010.04.011]

备注/Memo

收稿日期:2021-04-30;修回日期:2021-10-11;编辑:李在蓉
基金项目:国家自然科学基金资助项目“逆断层作用下X80 管道屈曲演化与韧性破损机理研究”,52004314;北京市自然科学基金资助项目“时变温压荷载作用下大口径直埋热水管道-土体耦合机制与失效机理研究”,8214053;新疆自治区天山青年计划项目“复杂载荷作用下高钢级管道韧性断裂与后屈曲失效行为”,2019Q088;中国石油大学(北京)青年拔尖人才科研基金资助项目“断层作用下高强钢管道失效机理与可靠性评价”,2462018YJRC019;中国石油大学(北京)科研基金资助项目“基于大数据的天然气管网智能运行与控制研究”,2462020YXZZ045。
作者简介: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,现主要从事油气管道本质安全与完整性评价相关技术研究。地址:北京市昌平区府学路18 号,102249。电话:010-89731239。Email:xiaobenliu@cup.edu.cn

更新日期/Last Update: 2021-11-25