机械工程学报 >

2017 , Vol. 53 >Issue 16: 125 - 133

DOI: https://doi.org/10.3901/JME.2017.16.125

仪器科学与技术

大型石油储罐健康管理方法应用研究

  • 王宝轩 ,
  • 沈功田 ,
  • 闫河 ,
  • 武新军
展开
  • 1. 华中科技大学机械科学与工程学院 武汉 430074;
    2. 中国特种设备检测研究院 北京 100029
王宝轩,男,1985年出生,博士。主要研究方向为电磁无损检测技术及应用,电磁和电化学多物理场模拟。E-mail:bx.wang@qq.com;闫河,男,1976年出生,硕士,高级工程师。主要研究方向为压力容器、压力管道、常压储罐检验检测及评价。E-mail:Peteryan76@126.com;武新军,男,1971年出生,博士,教授,博士研究生导师。主要研究方向为无损检测新技术。E-mail:wxjkyh@263.net

收稿日期: 2017-01-22

  修回日期: 2017-04-17

  网络出版日期: 2014-01-02

基金资助

国家重大科学仪器设备开发专项（2012YQ090175）和国家"万人计划"特支经费资助项目

收起

Research and Application of Health Management Method of Large Oil Storage Tank

  • WANG Baoxuan ,
  • SHEN Gongtian ,
  • YAN He ,
  • WU Xinjun
Expand
  • 1. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074;
    2. China Special Equipment Inspection and Research Institute, Beijing 100029

Received date: 2017-01-22

  Revised date: 2017-04-17

  Online published: 2014-01-02

Fold

摘要

随着我国石油储备的增加和石油化工工业的发展，大型石油储罐的单罐容积和总体数量不断增加，其安全运行事关重大。大型机械系统健康管理理论被应用于大型石油储罐，提出大型石油储罐健康管理的理念、程序和具体方案；根据大型石油储罐特点，制定健康管理指标体系；提出依据健康评价结果及时调整的健康检测方案；对部分健康风险、健康指标、检测技术进行介绍；提出对健康状态和健康变化趋势进行判断和预测的健康评价方法，和以基于健康状态维修为主的健康恢复方案。大型石油储罐健康管理方法依据健康指标和健康评价结果，统筹应用现有的储罐检测和维修手段，以最经济的方法保障储罐健康运行。并进行健康管理方法的初步应用，验证健康管理方法的有效性。最后总结大型储罐健康管理方法进一步发展的关键需求。

关键词： 大型石油储罐; 健康管理; 健康评价; 健康预测

本文引用格式

王宝轩 , 沈功田 , 闫河 , 武新军 . 大型石油储罐健康管理方法应用研究[J]. 机械工程学报, 2017 , 53(16) : 125 -133 . DOI: 10.3901/JME.2017.16.125

Abstract

With the increase of oil reserves and the development of petrochemical industry in China, the volume and quantity of large oil storage tanks are increasing, the safety in operation of these tanks is of great importance. The large mechanical system health management theory is applied to the large oil storage tank. The concept, procedure and detailed plan of the health management of large oil storage tanks is proposed. According to the characteristics of large oil storage tanks, the health management indicator system is developed. The health inspection scheme is raised, which is timely adjusted according to the health assessment results. Health risks, health indicators and detection techs are introduced. The health assessment method is proposed, to estimate the health status and to forecast the health trends. And the health status based health recovery scheme is raised. According to the health indicators and health assessment results, the health management method of large oil storage tank uses the current inspection and maintenance techs synthetically, to ensure the safe operation of the tanks in the most economical way. The preliminary application of the health management method is carried out, the effectiveness of the health management method is verified. Finally, the key requirements for the further development of the health management methods of large oil storage tank are summarized.

Key words： large oil storage tank; health management; health assessment; health forecast

参考文献

[1] 田春荣. 2015年中国石油进出口状况分析[J]. 国际石油经济, 2016, 24(3):44-53. TIAN Chunrong. China's 2015 oil imports and exports[J]. International Petroleum Economics, 2016, 24(3):44-53.
[2] 杨子健, 李威. 中国石油储备体系的发展现状与建议[J]. 国际石油经济, 2015, 23(9):69-77. YANG Zijian, LI Wei. Development situation and needs of China's petroleum reserve system[J]. International Petroleum Economics, 2015, 23(9):69-77.
[3] 蒋晓武,周良锋,周领. 石油储罐火灾案例与安全现状调查分析[J]. 安全、健康和环境, 2016, 16(3):29-32. JIANG Xiaowu, ZHOU Liangfeng, ZHOU Ling. The investigation and analysis of oil tank fire case and present situation[J]. Safety Health & Environment, 2016, 16(3):29-32.
[4] Board BMⅡ. The buncefield incident, 11 december 2005:the final report of the major incident investigation board[M]. Great Britain:Health and Safety Executive, 2008.
[5] GROSS J L, SMITH J H, WRIGHT R N. Ashland tank-collapse investigation[J]. Journal of Performance of Constructed Facilities, 1989, 3(3):144-162.
[6] 沈国光,沈海涛,沈显东,等. 国内石油化工行业储罐事故统计分析及对策研究[J]. 石油化工安全环保技术, 2016, 32(3):35-39. SHEN Guoguang, SHEN Haitao, SHEN Xiandong, et al. Statistical analysis on the storage tank accidents in domestic petrochemical industry and research on the countermeasures[J]. Petrochemical safety and environment protection technology, 2016, 32(3):35-39.
[7] CHANG J I, LIN C C. A study of storage tank accidents[J]. Journal of Loss Prevention in the Process Industries, 2006, 19(1):51-59.
[8] 吴龙平,明斐卿,罗丽华,等. 国内外大型储罐的设计标准对比[J]. 油气储运, 2010, 29(12):933-936. WU Longping, MING Feiqing, LUO Lihua, et al. Design standards for large-scale storage tanks worldwide[J]. Oil & gas storage transportation, 2010, 29(12):933-936.
[9] 刘佳,袁玲,唐悦影,等. 中美大型储罐设计标准抗震计算对比[J]. 油气储运, 2013, 32(4):421-425. LIU Jia, YUAN Ling, TANG Yueying, et al. Comparison between Chinese and American design standards of anti-seismic calculation for large-scale storage tank[J]. Oil & gas storage transportation, 2013, 32(4):421-425.
[10] 于清,王一军,许跃新,等. 大型储罐设计技术的发展[J]. 新疆石油天然气, 2006, 2(4):73-75. YU Qing, WANG Yijun, XU Yuexin, et al. The development of design technology of large storage tanks[J]. Xinjiang Oil & Gas, 2006, 2(4):73-75.
[11] CHEN Z P, SUN B, YU C L, et al. Finite-element analysis of liquid-storage tank foundations using settlement difference as boundary condition[J]. Journal of Process Mechanical Engineering, 2009, 223(4):225-231.
[12] 陈志平,葛颂,沈建民,等. 大型原油储罐有限元分析建模的新方法[J]. 浙江大学学报, 2006, 40(6):977-981. CHEN Zhiping, GE Song, SHEN Jianmin, et al. New modeling method for finite element analysis of large oil storage tanks[J]. Journal of Zhejiang University, 2006, 40(6):977-981.
[13] 沈功田. 声发射检测技术及应用[M]. 科学出版社, 2015. SHEN Gongtian. Acoustic emission testing technology and application[M]. Beijing:Science Press, 2015.
[14] LIU Z, KANG Y, WU X, et al. Study on local magnetization of magnetic flux leakage testing for storage tank floors[J]. Insight-Non-Destructive Testing and Condition Monitoring, 2003, 45(5):328-331.
[15] SHEN W, GU J, SHEN Y. Proposed wall climbing robot with permanent magnetic tracks for inspecting oil tanks v[C]//Proceedings of the IEEE International Conference Mechatronics and Automation,IEEE,2005,4:2072-2077.
[16] 王勇,沈功田,李邦宪,等. 压力容器无损检测——大型常压储罐的无损检测技术[J]. 无损检测, 2005, 27(9):487-490. WANG Yong, SHEN Gongtian, LI Bangxian, et al. Nondestructive testing of pressure vessels:Nondestructive testing technique for large atmospheric storage tanks[J]. Nondestructive testing, 2005, 27(9):487-490.
[17] 郭冰,沈功田,张万岭,等. 基于风险的检验在大型常压储罐群的应用[J]. 压力容器, 2010, 27(4):55-60. GUO Bing, SHEN Gongtian, ZHANG Wanling, et al. Application of RBI technology in atmospheric storage tanks[J]. Pressure vessel, 2010, 27(4):55-60.
[18] SHUAI J, HAN K, XU X. Risk-based inspection for large-scale crude oil tanks[J]. Journal of Loss Prevention in the Process Industries, 2012, 25(1):166-175.
[19] 沈功田, 刘渊. 大型机械系统的健康管理理论研究及应用设想[J]. 机械工程学报, 2017, 53(16):1-9. SHEN Gongtian, LIU Yuan. Research and Application assumptions of large mechanical system health management theory[J]. Journal of Mechanical Engineering, 2017, 53(16):1-9.
[20] 朱荣改,张洪林,朱丹. 大型油气储罐的结构型式与变化趋势[J]. 石油规划设计, 2001, 12(5):31-33. ZHU Ronggai, ZHANG Honglin, ZHU Dan. Structure and change trend of large oil and gas storage tanks[J]. Petroleum Planning & Engineering, 2001, 12(5):31-33.
[21] 李光海. 常压储罐检验检测技术[J]. 无损检测, 2010, 32(7):509-512. LI Guanghai. Inspection technology of atmospheric storage tanks[J]. Nondestructive Testing, 2010, 32(7):509-512.
[22] 沈功田, 胡斌. 大型承压设备不停机电磁无损检测技术及应用[J]. 中国特种设备安全, 2016, 32(1):6-12. SHEN Gongtian, HU Bin. The on-line electromagnetic non-destructive testing technology for large pressure equipment and its application[J]. China Special Equipment Safety, 2016, 32(1):6-12.
[23] 袁朝庆,刘彦,王志远,等. 基于光纤传感技术监测大型储罐运行状态[J]. 无损检测, 2015, 37(3):14-18. YUAN Chaoqing, LIU Yan, WANG Zhiyuan, et al. Monitoring running states for large storage tank based on optical fiber sensing technology[J]. Nondestructive Testing, 2015, 37(3):14-18.
[24] 张文新. 三维激光扫描技术在大型油罐罐体尺寸测量中的应用研究[J]. 兰州工业学院学报, 2015, 22(1):63-67. ZHANG Wenxin. The application of 3D laser scanning technology to large oil tank size measuring[J]. Journal of Lanzhou Institute of Technology, 2015, 22(1):63-67.
[25] 石慧. 机械系统的剩余寿命预测及预防性维修决策研究[D]. 太原:太原科技大学, 2015. SHI Hui. The prediction of remaining useful life and preventive maintenance decision for mechanical system[D]. Taiyuan:Taiyuan University of Technology, 2015.
[26] BOUSDEKIS A, MAGOUTAS B, APOSTOLOU D, et al. Review, analysis and synthesis of prognostic-based decision support methods for condition based maintenance[J]. Journal of Intelligent Manufacturing, 2015, 20:1-14.
Options
文章导航

/

〈 〉

版权所有 © 《机械工程学报》编辑部

技术支持：北京玛格泰克科技发展有限公司