课题基金基金详情
基于多传感信息融合的在役管道缺陷内检测技术研究
结题报告
批准号:
61240038
项目类别:
专项基金项目
资助金额:
18.0 万元
负责人:
曾周末
依托单位:
学科分类:
F0306.自动化检测技术与装置
结题年份:
2013
批准年份:
2012
项目状态:
已结题
项目参与者:
李健、张宇、王伟魁、孙芳、孙茜、王远、赵兴、刘芳
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中文摘要
在役石油长输管道缺陷是严重的安全生产隐患,由于输送介质特殊又处于埋地或深海等特殊环境,一旦因缺陷导致事故,不仅影响正常生产,还会对环境造成严重污染,甚至危及生命财产安全。传统的管道缺陷检测技术方法和功能单一,对检测条件要求高,无法实现状态预测评估。项目针对埋地或海底管道的特殊服役环境,研究管道腐蚀、焊缝、裂纹等局部应力集中区域的磁场、自激声场特性;融合管道缺陷磁记忆和自激声发射等多种传感信息,建立新的在役管道缺陷内检测方法;研究设计可进行现场试验的在役管道缺陷内检测实验装置,对管道缺陷内检测方法及其性能进行验证和评价;研究在役管道状态分析评估方法及实现状态评价和发展趋势预测的可行性。
英文摘要
The defects of Long-distance oil pipeline in service are serious hazards of safe production. Owing to special transmission medium and its harsh environment such as underground and deep-sea, once the defect causes the accident, it not only affects normal production, but also causes serious environment pollution, and even endangers people's life and property safety. The method and function of traditional pipeline defect detection technology is too simple, which has high requirements on the detection conditions, cannot achieve the state prognosis evaluation. Considering the special underground or undersea environment in service, the magnetic field and the self-excited acoustic field characteristics are studied in the local stress concentration area of pipeline corrosion, weld, cracks and other defects. All sorts of sensing information are integrated such as magnetic pipeline defect memory and self-excited acoustic emission, and new defect detection methods of the pipelines in service are established. The internal defect detection experimental facilities are studied and designed in the field trials of pipelines in service,and the method and performance of pipeline internal defect detection are verified and evaluated. The state analysis and evaluation methods of pipeline in service are studied, together with the realization feasibilities of the state evaluation and the development trend prediction.
项目针对埋地或海底管道的特殊服役环境,完成了对管道腐蚀、裂纹等缺陷局部应力集中区域的磁场、自激声场特性的初步研究,完成了管道腐蚀、裂纹等缺陷局部应力集中区域的磁场、自激声信号的检测、获取和处理方法研究,研制了试验内检测器并在环形试验管道进行了试验研究,取得了大量的试验数据,初步验证了利用管道内磁信号识别管道缺陷、确定管道走向的可行性,初步验证了利用自激声信号特征评价和预测管道内缺陷的可行性。
期刊论文列表
专著列表
科研奖励列表
会议论文列表
专利列表
Determination of Corrosion Types from Electrochemical Noise by Artificial Neural Networks
通过人工神经网络确定电化学噪声的腐蚀类型
DOI:10.1016/s1452-3981(23)14315-x
发表时间:2013-02
期刊:International Journal of Electrochemical Science
影响因子:1.5
作者:Jian L.;Weikang K.;Jiangbo S.;Ke W.;Weikui W.;Weipu Z.;Zhoumo Z.
通讯作者:Zhoumo Z.
Two-beam phase-sensitive optical time domain reflectometer based on Jones matrix modeling
基于琼斯矩阵建模的两光束相敏光时域反射仪
DOI:10.1117/1.oe.52.9.094102
发表时间:2013-09
期刊:Optical Engineering
影响因子:1.3
作者:安阳;冯欣;李健;封浩;靳世久
通讯作者:靳世久
基于对象分类识别的非理想球形粒子测量技术研究
  • 批准号:
    60175003
  • 项目类别:
    面上项目
  • 资助金额:
    18.0万元
  • 批准年份:
    2001
  • 负责人:
    曾周末
  • 依托单位:
PDA技术用于粒子速度、尺寸及材料特性测量的研究
  • 批准号:
    59506012
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    9.0万元
  • 批准年份:
    1995
  • 负责人:
    曾周末
  • 依托单位:
国内基金
海外基金