基于多元传感器的人机交互式CNG储气井腐蚀检测系统

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 王珩1， 苏真伟2， 陈谋钦2

 （1.贵州师范大学 机械与控制仿真重点实验室，贵州 贵阳 550014；2.四川大学 制造科学与工程学院，四川 成都610065)

 摘要： 目前我国还没有检测CNG（压缩天然气）储气井井壁腐蚀的技术和装置。本研究提出了一种超声检测、井下视频检测和线结构激光检测三结合的人机交互式检测系统，可以对CNG储气井的均匀腐蚀区域作高速、低精度“粗查”，局部恶性腐蚀区域低速、高精度“细查”。实验表明，系统可以满足我国CNG储气井腐蚀检测的需要。

关键词：  CNG储气井；  腐蚀检测； 多元传感器； 人机交互系统

 中图分类号： TE 973.6文献标志码：  A

 HumanComputer Interactive System Based on Multisensor for Corrosion Inspection of CNG Storage Well Wall

 WANG Heng1, SU Zhenwei2, CHEN Mouqin2

 (1.Simulation Laboratory of Mechanical and  Control Engineering, Guizhou Normal University, Guiyang 550014,China；

2.School of Manufacturing Science and Engineering,SichuanUniversity,Chengdu610065,China)

 Abstract: At present,Chinalacks the techniques and devices for the corrosion inspection of CNG storage well wall. A humancomputer interactive system for corrosion inspection of CNG storage well wall is presented in the paper，which is based on ultrasonic testing, computer vision and linelaser techniques. General corrosion areas can be inspected in “normal scanning” mode in a relatively higher speed and lower accuracy, while severe corrosion areas can be inspected in “intensive scanning” mode in a lower speed and higher accuracy. Our experiments indicated that the system could meet the requirements of corrosion inspections of CNG wells in our country.

 Key words: CNG storage well; corrosion testing; multisensor; humancomputer interaction system

收稿日期： 20140322

 基金项目： 国家“十一五”863重大项目（2008AA11A133）.

 作者简介： 王珩（1982—），男，博士.