A novel 3-D shape inspection system for in-pipe surfaces

DAI Xinran; QIAN Xiaofan; XU Tianjie; LANG Haitao

doi:10.7510/jgjs.issn.1001-3806.2016.01.015

In order to solve the problem of measurement error and blind zone because of light obstruction and obtain a satisfactory 3-D shape of in-pipe surface, a novel 3-D shape inspection system for in-pipe surfaces was proposed. The system was set up with a circular structured light to illuminate vertically and dual complementary metal oxide semiconductor cameras to record images simultaneously. Image process algorithm and calibration method for the inspection system were founded. The results of verification experiment show that standard deviation of the system is 0.50mm. The system has good ability to solve the problem of blind zone, reduce the measurement error, and obtain whole 3-D shapes of in-pipe surfaces.

A novel 3-D shape inspection system for in-pipe surfaces

Corresponding author: QIAN Xiaofan, qianxiaofan1@sina.com;

1. Institute of Laser, Faculty of Science, Kunming University of Science and Technology, Kunming 650500, China

Received Date: 2014-10-09

Accepted Date: 2014-11-06

Available Online: 2016-01-25

Abstract: In order to solve the problem of measurement error and blind zone because of light obstruction and obtain a satisfactory 3-D shape of in-pipe surface, a novel 3-D shape inspection system for in-pipe surfaces was proposed. The system was set up with a circular structured light to illuminate vertically and dual complementary metal oxide semiconductor cameras to record images simultaneously. Image process algorithm and calibration method for the inspection system were founded. The results of verification experiment show that standard deviation of the system is 0.50mm. The system has good ability to solve the problem of blind zone, reduce the measurement error, and obtain whole 3-D shapes of in-pipe surfaces.

HTML

Reference (19)

[1]	YUAN H M. Question and answer of the pipeline inspection technologies[M]. Beijing:China Petrochemical Press, 2010:100-105(in Chinese).
[2]	DURAN O, ALTHOEFER K, SENEVIRATNE L D. Pipe inspection using a laser-based transducer and automated analysis techniques[J]. IEEE/ASME Transactions on Mechatronics, 2003, 8(3):401-409.
[3]	JIANG C J, JU X M. The development and actuality of oil-gas pipeline detection technologies[J]. Inner Mongolia Petrochemical Industry, 2008, 40(3):83-86(in Chinese).
[4]	XUE L J, ZHANG J H, FU D L, et al. The application of ultrasonic guided wave testing technology on the inspection of pipelines[J]. Guangzhou Chemical, 2013, 41(15):184-186(in Chinese).
[5]	REBER K, BELLER M, WILLEMS H, et al. A new generation of ultrasonic in-line inspection tools for detecting, sizing and locating metal loss and cracks in transmission pipe lines[J]. IEEE Ultrasonics Symposium, 2002,1:665-671.
[6]	YANG L J. The internal pipeline detection with magnetic flux leakage[M].Beijing:Chemical Industry Press, 2014:50-52(in Chinese).
[7]	ZHANG G J, HE J J, LI Z X. A novel 3-D shape inspection system for inside surface of microminiature workpiece[J]. Chinese Journal of Scientific Instrument, 2006, 27(3):302-306(in Chinese).
[8]	MA B B, LI Y, NENG Ch X. The detection of inner-pipeline obstruction with laser projection photograph method[J]. Optoelectronic Engineering, 2013, 40(1):113-115(in Chinese).
[9]	WANG Y, ZHANG R. In-pipe surface circular structured light 3-D vision inspection system[J]. Infrared and Laser Engineering, 2014, 43(3):891-896(in Chinese).
[10]	DURAN O, ALTHOEFER K, SENEVIRATNE L D. Automated pipe defect detection and categorization using camera/laser-based profiler and artificial neural network[J]. IEEE Transactions on Automation Science and Engineering, 2007, 4(1):118-126.
[11]	CHEN Y, YU P. Automatic nondestructive optical technique for detection of surface pipeline[J]. Measurement Technology, 2000, 50(6):6-9(in Chinese).
[12]	CHEN Y, YU P. Photoelectric sensing technology for nondestructive detection of pipeline[J]. Measurement Technology, 1999, 19(4):265-269(in Chinese).
[13]	WANG Y, WANG J L. Optoelectronic inspection of in-pipe surfaces[J]. Application of Optical, 2008, 29(5):735-739(in Chinese).
[14]	TSUBOUCHI T, KAWAGUCHI Y, TAKAKI S. A straight pipe observation from the inside by laser spot array and a TV camera[C]//Proceedings of 2000 International Conference on Intelligent Robots and Systems.New York, USA:IEEE, 2000:82-87.
[15]	WU E Q, KE Y L, LI J X, et al. Non-contact inspection based on laser-PSD for the inner surface of small-diameter pipes[J]. Journal of OptoelectronicsLaser, 2005, 16(9):1080-1084(in Chinese).
[16]	WU B, HAN W Q, SHAO Zh Y, et al. Surface defects inspecting inside small bores based on machine vision[J]. Journal of OptoelectronicsLaser, 2012, 23(11):2137-2141(in Chinese).
[17]	WANG Y, ZHANG R, ZHANG Y. Constructing method of calibration feature points used for circle structure light vision sensor[J]. Application of Optical, 2012, 33(5):884-888(in Chinese).
[18]	DI X, QU X H, JIAN G W, et al. Rapid measurement and modeling technologies of large pipes and their application[J]. Chinese Journal of Scientific Instrument, 2013, 34(2):338-343(in Chinese).
[19]	ZHANG Sh B, XIONG X M, JIANG Q B, et al. Trinoculor vision 3-D coordinate measuring system based on target[J]. Laser Techno-logy, 2013, 37(4):523-528(in Chinese).

A novel 3-D shape inspection system for in-pipe surfaces

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

Proportional views