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油-气管道检测机器人技术现状及展望
引用本文:程 航,喻九阳,戴耀南,詹博文,夏文凤,胡天豪,张德安.油-气管道检测机器人技术现状及展望[J].武汉工程大学学报,2021,43(3):324-333.
作者姓名:程 航  喻九阳  戴耀南  詹博文  夏文凤  胡天豪  张德安
作者单位:武汉工程大学,湖北省绿色化工装备工程技术研究中心,湖北 武汉 430205
摘    要:为提高油-气管道检测的效果,结合国内外典型管道机器人的特点,综合分析了管道机器人运动控制技术、定位技术和实时检测技术3个方面的现状,并指出了核心技术的不足;针对石油化工行业高温带压管道环境,提出管道检测机器人的研究重点为分层模糊神经网络运动控制技术、CCD视觉定位技术、低频电磁定位技术和分层图像分割的优化方法等。为进一步提高化工油-气管道内检测机器人的检测效果提供了理论依据。

关 键 词:油-气管道  机器人  运动控制  通讯定位  实时检测

Overview and Prospect for Technologies Oil and Gas Pipeline Inspection Robot
Authors:CHENG Hang  YU Jiuyang  DAI Yaonan  ZHAN Bowen  XIA Wenfeng  HU Tianhao  ZHANG Dean
Affiliation:Hubei Green Chemical Equipment Engineering Research Center(Wuhan Institute of Technology), Wuhan 430205, China
Abstract:To improve the effect of oil and gas pipeline inspection, combined with the characteristics of typical domestic and foreign pipeline robots, techniques of the pipeline robot motion control, positioning and real-time inspection were comprehensively reviewed, and the main limitations existing in these techniques were analyzed. According to the high-temperature and high-pressure environmental characteristics of petrochemical pipelines, the following techniques of pipeline inspection robots should gain more attention: motion control based on the hierarchical fuzzy neural network , positioning based on charge coupled device cameras, low-frequency electromagnetic positioning and optimization of layered image segmentation, etc. This paper provides theoretical basis for improving the effect of petrochemical pipeline inspection robot.
Keywords:oil and gaspipeline  robot  motion control  communication positioning  real-time detection
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