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贾晓亮, 秦怡. 煤矿坑道钻探钻杆断裂智能CT检测研究[J]. 煤炭科学技术, 2021, 49(3): 135-140. DOI: 10.13199/j.cnki.cst.2021.03.018
引用本文: 贾晓亮, 秦怡. 煤矿坑道钻探钻杆断裂智能CT检测研究[J]. 煤炭科学技术, 2021, 49(3): 135-140. DOI: 10.13199/j.cnki.cst.2021.03.018
JIA Xiaoliang, QIN Yi. Research on intelligent CT detection of drill pipe fracture in coal mine tunnel drilling[J]. COAL SCIENCE AND TECHNOLOGY, 2021, 49(3): 135-140. DOI: 10.13199/j.cnki.cst.2021.03.018
Citation: JIA Xiaoliang, QIN Yi. Research on intelligent CT detection of drill pipe fracture in coal mine tunnel drilling[J]. COAL SCIENCE AND TECHNOLOGY, 2021, 49(3): 135-140. DOI: 10.13199/j.cnki.cst.2021.03.018

煤矿坑道钻探钻杆断裂智能CT检测研究

Research on intelligent CT detection of drill pipe fracture in coal mine tunnel drilling

  • 摘要: 在煤矿钻杆生产和加工过程中,由于加工、生产、制造等工艺缺陷易造成钻杆自身存在间隙、夹杂、裂纹、缺陷和密度不均匀等质量问题。而在煤矿钻杆在井下钻进过程中,由于钻杆受到复杂钻进外力的影响,通常会因钻杆本身质量问题而造成钻杆发生断裂,进而阻碍正常生产,造成重大经济损失。针对这些问题,采用传统工业CT检测方式,可有效检测出钻杆本体存在的气孔、裂纹、间隙、缺陷等质量问题,进而提高钻杆加工工艺和成品质量。然而,在传统的钻杆CT检测过程中,采用人工装配和卸载钻杆的方法进行上下料,存在检测效率低、收益小、自动化程度弱等缺点,不能满足煤矿设备智能化发展的要求。在此基础上,将智能机器人系统、流水线扫描技术和伺服运动控制引入钻杆工业CT检测系统中,该检测系统主要由图像分析软件、电气控制软件、射线源系统、探测检测系统、运动伺服系统、智能机械手及其控制系统、流水线扫描系统以及安全防护系统等组成。采用上、下2层控制结构,将智能机械手及其控制系统作为从站,将运动伺服系统配置为主站,通过上位机软件控制这些底层系统的运行、动作,实现智能化钻杆CT扫描、断层分析和结构检测等功能。从而,可大幅缩短人工上、下料的时间、增强钻杆检测的效率和检测工艺,保证钻杆装备智能、安全、高效地进行,进而提高钻杆加工、制作等工艺流程,提高钻杆本体质量。

     

    Abstract: In the process of production and processing of coal mine drill pipe,due to the poor processing,production,manufacturing and other processes,the drill pipe itself has quality problems such as gaps,inclusions,cracks,defects and uneven density.In the process of drilling the coal mine drill pipe in the underground,the drill pipe is affected by the complicated external force of the drill pipe,which often causes the drill pipe to break due to the quality problem of the drill pipe itself,thereby hindering normal production and causing major economic losses.In response to these problems,the traditional industrial CT detection method can effectively detect the quality problems such as pores,cracks,gaps and defects in the drill pipe body,thereby improving the processing technology of the drill pipe and the quality of the finished product.However,in the traditional CT inspection process of drill pipe,the method of manual assembly and unloading of the drill pipe is used for loading and unloading,which has the disadvantages of low detection efficiency,low profit,and weak automation,which cannot meet the requirements of intelligent development of coal mine equipment.On this basis,the intelligent robot system,pipeline scanning technology and servo motion control are introduced into the drill pipe industrial CT detection system.The detection system mainly consists of image analysis software,electrical control software,ray source system,detection and detection system,and motion servo system,intelligent robot and its control system,pipeline scanning system and security protection system.Using the upper and lower two-layer control structure,the intelligent manipulator and its control system are used as slave stations and the motion servo system is configured as the master station.The upper computer software is used to control the operation and action of these underlying systems to realize intelligent drill pipe CT scanning,fault analysis and structural testing.Therefore,the time for manual loading and unloading can be greatly shortened,the efficiency of the drill pipe detection and the detection process can be enhanced,the drill pipe equipment can be intelligently,safely and efficiently carried out,thereby improving the process flow of the drill pipe processing,production and improving the drill pipe body quality.

     

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