期刊文献+

燃气管网巡检机器人控制系统的设计与研究 被引量:1

Design and Research of Inspection Robot Control System for Gas Pipeline Network
下载PDF
导出
摘要 针对燃气管道传统巡检方法存在巡检效率低、漏检误检现象严重、劳动强大等问题,设计基于中央处理器的燃气管道巡检机器人控制系统。首先,根据燃气管道实际工况,重点分析了巡检机器人硬件、软件设计方案;然后,以PCM3365E-S3A2中央处理器为核心,经CAN总线通信接收并处理环境、本体数据,分析并综合决策后控制巡检机器人运动;最后,完成实验与测试。结果表明,设计并实现的燃气管道巡检机器人的移动能力、感知能力、运动控制能力强,能够满足燃气管道日常巡检任务要求,提升了巡检效率,降低了漏检误检率,减轻了巡检工劳动强度。 In the view of the problems of the traditional inspection method of gas pipeline,such as low inspection efficiency,serious omission and misinspection,and strong labor,a gas pipeline inspection robot control system based on central processor is designed.Firstly,according to the actual working conditions of the gas pipeline,the hardware and software design scheme of the inspection robot is analyzed.Then,with the PCM3365E-S3A2 central processor as the core,the environment and ontology data are received and processed through CAN bus communication,and the movement of the inspection robot is controlled after analysis and comprehensive decision.Finally,the experiment and test were completed.The results show that the designed and realized gas pipeline inspection robot has strong mobility,sensing ability and motion control ability,which can meet the requirements of daily inspection tasks of gas pipeline,improve inspection efficiency,reduce the rate of missed inspection and false inspection,and reduce the labor intensity of inspection workers.
作者 梁成文 LIANG Chengwen(Coal Bed Gas Development and Utilization Branch,Shanxi Huayang Group New Energy Co.,Ltd.,Yangquan,Shanxi 045000,China)
出处 《自动化应用》 2024年第7期77-79,共3页 Automation Application
关键词 燃气管网 巡检机器人 CAN总线 gas pipeline network inspection robot CAN bus
  • 相关文献

参考文献6

二级参考文献41

  • 1刘伟,刘斐,郑志强.用于机器人足球赛的全景视觉设计仿真[J].计算机仿真,2005,22(11):190-192. 被引量:5
  • 2帅健,党文义,卜文平.油气管道完整性评价与管理软件[J].天然气工业,2006,26(5):108-110. 被引量:14
  • 3徐海贵,王春香,杨汝清,杨明.磁传感系统在室外移动机器人导航中的研究[J].机器人,2007,29(1):61-66. 被引量:23
  • 4蔡自兴,肖正,于金霞.动态环境中移动机器人地图构建的研究进展[J].控制工程,2007,14(3):231-235. 被引量:12
  • 5Thrun S. Learning metric-topological maps for indoor mobile robot navigation [J]. Artificial Intelligence, 1998, 99 (1). : 21-71.
  • 6刑文训.现代优化计算方法[M].北京:清华出版社,2005.
  • 7Keller Heirich O, Robertson P, Garcia A C, et al. Probabilis- tic localization method for trains[C]//IEEE Intelligent Vehicles Symposium. Piscataway, USA: IEEE, 2012: 482-487.
  • 8Acharya A, Sadhu S, Ghoshal T K. State inequality constraint based method for rail navigation[C]//Annual IEEE India Con- ference: Green Energy, Computing and Communication. Pis- cataway, USA: IEEE, 2010: 1-6.
  • 9Heirich O, Robertson P, Garcia A C, et al. Bayesian train local- ization method extended by 3D geometric railway track obser- vations from inertial sensors[C]//15th International Conference on Information Fusion. Piscataway, USA: IEEE, 2012: 416- 423.
  • 10Hensel S, Hasberg C. Probabilistic landmark based localiza- tion of rail vehicles in topological maps[C]//IEEE/RSJ Interna- tional Conference on Intelligent Robots and Systems. Piscat- away, USA: IEEE, 2010: 4824-4829.

共引文献46

同被引文献7

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部