Inertial Positioning Technology and Caliper Inspection Based Pipeline Deformation Detection

被引：0
|
作者：
Song, Hua [1 ,2 ]
Huang, Huiyin [1 ]
Yang, Yan [1 ]
Wu, Xun [3 ]
Yan, Xuejiao [3 ]
Xie, Zhe [4 ]
Yin, Chuangrong [3 ]
Chen, Guanhao [4 ]
机构：
[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China
[2] Beijing Zero Bias Technol Co LTD, Beijing 100085, Peoples R China
[3] Dongguan Power Supply Bur Guangdong Power Grid Co, Dongguan 523106, Guandong, Peoples R China
[4] Inst Aerosp Syst Engn, Shanghai 201109, Peoples R China
来源：
2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC) | 2021年
关键词：
Underground pipeline; Deformation detection; Inertial Navigation; Oil and gas pipeline; 3D information; Caliper inspection;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The detection and positioning of pipeline deformation is of great significance to improve the efficiency and ensure the safety of pipeline operation. In this paper, the caliper inspection is used to obtain the geometric information of pipeline deformation, and the inertial positioning technology is used to obtain the geographic and circumferential information of deformation, and finally forms a three-dimensional model of pipeline deformation, according to which the geometric characteristics of deformation are analyzed and then provides the basis for pipeline maintenance. In order to verify the effectiveness of the method, a prototype of pipeline deformation detection principle has been designed and the towing experiment has also carried out. The experimental results showed that the prototype can effectively detect and locate the convex deformation and circumferential weld of the pipeline.
引用
收藏
页码：3961 / 3965
页数：5
相关论文
共 50 条
  • [21] VALIDATION OF COMPUTED TOMOGRAPHY TECHNOLOGY FOR PIPELINE INSPECTION
    Piazza, Mark
    Burns, Timothy H.
    Medford, James
    Shie, Taylor
    PROCEEDINGS OF THE 12TH INTERNATIONAL PIPELINE CONFERENCE, 2018, VOL 1, 2018,
  • [22] The Indoor Personnel Inertial Positioning Based on Image Recognition Technology in Substation Depth
    Xu, Min
    Peng, Lin
    Han, Hai-Yun
    Li, Ni-Ge
    Hou, Zhan-Sheng
    Wang, Gang
    Bao, Xing-Chuan
    Wang, He
    Yu, Hai
    2017 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (IST 2017), 2017, 11
  • [23] A prediction model for oil and gas pipeline deformation based on ACM inspection signal waveforms
    Xin, Jiaxing
    Chen, Jinzhong
    Li, Xiaolong
    He, Renyang
    Zhu, Hongwu
    INSIGHT, 2022, 64 (10) : 573 - 581
  • [24] Gas pipeline leakage detection based on acoustic technology
    Liang Wei
    Zhang Laibin
    Xu Qingqing
    Yan Chunying
    ENGINEERING FAILURE ANALYSIS, 2013, 31 : 1 - 7
  • [25] An efficient adaptive combined filtering method for pipeline bending strain based on inertial in-line inspection
    Liu Shucong
    Wang Hongjun
    Rui Li
    MEASUREMENT & CONTROL, 2022, 55 (5-6): : 480 - 490
  • [26] The inertial technology based 3-dimensional information measurement system for underground pipeline
    Wang Xiaohang
    Song Hua
    MEASUREMENT, 2012, 45 (03) : 604 - 614
  • [27] Acoustic detection and tracking of a pipeline inspection gauge
    Bernasconi, Giancarlo
    Giunta, Giuseppe
    JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2020, 194
  • [28] Navigating and positioning technique for inner detection of pipeline
    Yang, L.-J., 1600, Shenyang University of Technology (34):
  • [29] Detection of the Trench Depth Based on a Differential Inertial Sensor Technology
    Wang Xin
    Peng Bingzhong
    Miedzinski, Bogdan
    Hu Baoyan
    Xu Miao
    ELEKTRONIKA IR ELEKTROTECHNIKA, 2018, 24 (03) : 8 - 14
  • [30] Assuring Vertical Casing Integrity with Pipeline Inspection Technology
    Hostage, B.
    Schaper, D.
    Stolte, S.
    OIL GAS-EUROPEAN MAGAZINE, 2018, 44 (04): : OG194 - OG197
12345