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回收钻杆检测分级生产线控制系统设计
引用本文:伍剑波,邵双方,卢强,巴鲁军.回收钻杆检测分级生产线控制系统设计[J].钢管,2012,41(3):63-67.
作者姓名:伍剑波  邵双方  卢强  巴鲁军
作者单位:1. 华中科技大学数字制造装备与技术国家重点实验室,湖北武汉,430074
2. 中国石油塔里木油田公司,新疆库尔勒,841000
3. 胜利石油管理局渤海钻井总公司管具公司,山东东营,257200
摘    要:为满足石油行业对回收钻杆进行质量监测和分级评价的迫切需要,开发了一套回收钻杆自动化检测分级生产线,以替代目前的手工操作.利用基于钻杆旋转的自动化漏磁和超声波复合无损探伤系统、基于激光测量的形位尺寸自动化测量系统以及钻杆自动化分级装备,设计了一种基于局域网、以太网、MPI网络和PROFIBUS-DP现场总线的网络化控制方...

关 键 词:油气钻采  钻杆  回收利用  检测  分级  自动化  网络化控制

Design of Control System for Operation Line for Detection and Classification of Recycled Drill Pipes
Wu Jianbo , Shao Shuangfang , Lu Qiang , Ba Lujun.Design of Control System for Operation Line for Detection and Classification of Recycled Drill Pipes[J].Steel Pipe,2012,41(3):63-67.
Authors:Wu Jianbo  Shao Shuangfang  Lu Qiang  Ba Lujun
Affiliation:1. State Key Laboratory of Digital Manufacturing Equipment & Technology, Huazhong University of Science and Technology, Wuhan 430074, China; 2. PetroChina Tarim Oil Field Co., Korla 841000, China; 3. Tubular Tooling Co., Bohai Drilling Corp., Shengli Petrolum Administration Bureau, Dongying 257200, China )
Abstract:In order to meet the urgent need for quality monitoring and classification evaluation of recycled drill pipes, an automatic detection and classification operation line is developed to replace the currently-adopted manual operation. Composed of the MFL/UT combined NDT system as working with the drill pipe rotating, the automatic geometrical dimension laser measurement system and the automatic classification equipment, a net- worked control system is designed based on Local Area Network, Ethernet, MPI and PROFIBUS-DP, which is capable of integrating inspection data and classification information so as to realize the automatic collection/dis- tribution control of the production line. The actual site application result proves that the newly-developed control system that features reliable and consistant running has significantly improved production efficiency and product quality as well.
Keywords:Oil/gas drilling and exploitation  Drill pipe  Recycling  Detection  Classification  Automation  Networked control
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