期刊文献+

基于定性仿真的间歇过程误操作后果分析 被引量:3

Consequence analysis strategy for mal-operation in batch processes based on qualitative simulation
下载PDF
导出
摘要 引言 间歇过程广泛存在于工业生产领域,如化工、半导体生产等领域[1]。与连续过程相比,间歇过程自动化水平较低,涉及更多的手动操作,容易发生误操作,进而导致灾难性的后果[2]。 Mal-operation is one of important factors that lead to disaster in chemical processes.Batch processes with a lower level of automation require many manual operations.These manual operations make increased occurrence of mal-operation possible.Therefore,it is necessary to analyze the effects of mal-operation on the batch process so that protective measures can be effectively taken.To achieve this aim,a novel consequence analysis strategy for mal-operation in the batch processes was proposed.Qualitative models of manual operation,production process,and environment were constructed by using the concept of qualitative simulation.These models could describe the batch process more satisfactorily.Qualitative model of environment and every qualitative model describing the production process,such as a qualitative model of pump or reactor,had the faculty of inference,which enabled these models to update their states and infer whether some hazards would occur by themselves when an operation was being dealt with.A batch process that produced vulcanization accelerator called M was modeled,and three wrong operating procedures were analyzed.The results showed that not only adverse consequences but also evolution of abnormal states in the batch process caused by mal-operation could be analyzed by using the proposed method.
出处 《化工学报》 EI CAS CSCD 北大核心 2012年第1期203-215,共13页 CIESC Journal
关键词 间歇过程 误操作 定性仿真 batch processes mal-operation qualitative simulation
  • 相关文献

参考文献8

  • 1李赣平,阎威武,邵惠鹤.基于迭代粒子群算法的间歇过程优化[J].计算机仿真,2007,24(6):160-163. 被引量:5
  • 2王振恒,赵劲松,李昌磊.一种新的间歇过程故障诊断策略[J].化工学报,2008,59(11):2837-2842. 被引量:9
  • 3Rajagopalan Srinivasan, Venkat Venkatasubramanian. Petri net-digraph models for automating HAZOP analysis of batch process plants [J]. Computers Chem. Eng,, 1996, 20: 719-725.
  • 4Rajagopalan Srinivasan, Venkat Venkatasubramanian. Automating HAZOP analysis of hatch chemical plants (Ⅰ): The knowledge representation framework [J].Computers Chem. Eng. , 1998, 22 (9): 1345-1355.
  • 5Rajagopalan Srinivasan, Venkat Venkatasubramanian. Automating HAZOP analysis of batch chemical plants (Ⅱ) : Algorithms and application [J]. Computers Chem, Eng. , 1998, 22 (9): 1357-1370.
  • 6Byounggwan Kang, Dongil Shin, En Sup Yoon. Automation of the safety analysis of batch processes based on multi-modeling approach [J]. Control Engineering Practice, 2003, 11: 871-880.
  • 7Palmer C, Chung P W H. A computer tool for batch hazard and operabillty studies [J]. Journal of Loss Prevention in the Process Industries, 2008, 21:537-542.
  • 8Palmer C, Chung P W H. An automated system for batch hazard and operability studies [J]. Reliability Engineering and System Safety, 2009, 94:1095-1106.

二级参考文献18

  • 1张兵,陈德钊.迭代遗传算法及其用于生物反应器补料优化[J].化工学报,2005,56(1):100-104. 被引量:16
  • 2陆宁云,王福利,高福荣,王姝.间歇过程的统计建模与在线监测[J].自动化学报,2006,32(3):400-410. 被引量:61
  • 3刘毅,王海清.Pensim仿真平台在青霉素发酵过程的应用研究[J].系统仿真学报,2006,18(12):3524-3527. 被引量:44
  • 4Krouti T. Abnormal situation detection, three-way data and projection methods: robust data archiving and modeling for industrial applications. Annual Reviews in Control, 2003, 27:131-139
  • 5Srinivasan R, Qian Mingsheng. Online fault diagnosis and state identification during process transitions using dynamic locus analysis. Chemical Engineering Science, 2006, 61: 6109-6132
  • 6Kassidas A, Taylor P, MacGregor J F. Off-line diagnosis of deterministic faults in continuous dynamic multivariable processes using speech recognition methods. Journal of Process Control, 1998, 8(5/6): 381-393
  • 7Kassidas A, MacGregor J F, Taylor P. Synchronization of batch trajectories using dynamic time warping. AIChE Journal, 1998, 44 (4): 864-875
  • 8Li Y, Wen C L, Xie Z, Xu X H. Synchronization of batch trajectory based on multi-scale dynamic time warping. Proceedings of the Second International Conference on Machine Learning and Cybernetics, 2004, 4:2403-2408
  • 9Itakura F. Minimum prediction residual principle applied to speech recognition. IEEE Transactions on Acoustics Speech and Signal Processing ASSP 23, 1975, 1:67-72
  • 10Smith T F, Waterman M S. Identification of common molecular subsequence. Journal of Molecular Biology, 1981, 147:195- 197

共引文献12

同被引文献24

  • 1张贝克,吴重光.一种基于SDG用于危险分析的新型定性仿真技术(英文)[J].系统仿真学报,2005,17(6):1339-1342. 被引量:7
  • 2吴建国,张培建.基于双模型预测函数控制的PVC聚合釜温度系统[J].南京理工大学学报,2005,29(4):441-445. 被引量:4
  • 3王滢,张贝克,吴重光.一种改进的间歇过程HAZOP分析模型[J].计算机仿真,2007,24(2):57-61. 被引量:8
  • 4Chylla R W, Haase D R. Temperature control of semi batch polymerization reactors[J]. Computers Chemical and Engi- neering, 1993, 17(3): 257-264.
  • 5Wang Z L, Pla F, Corriou J P. Nonlinear adaptive control of batch system polymerization[J]. Chemical Engineering Sci- ence, 1993, 50(13): 2081-2091.
  • 6Hvala N, Aller F, Miteva T, et al. Modeling, simulation and control of an industrial, semi-batch, emulsion polymeri- zation reactor [J]. Computers and Chemical Engineering, 2011, 35(10): 2066-2080.
  • 7Friedrich M, Perne R. Design and control of batch reactors: An industrial viewpoint[J]. Computers and Chemical Engi- neering, 1995, 19(supplement 1): 357-368.
  • 8Richards John R, Congalidis John P. Measurement and con- trol of polymerization reactors[J]. Computers and Chemical Engineering, 2006, 30(10-12) : 1447-1463.
  • 9Clarke Pringle Tracy, MacGregor John F. Nonlinear adaptive temperature control of muti-product semi-batch polymeriza- tion reactors [J]. Computers and Chemical Engineering, 1997, 21(12) : 1395-1409.
  • 10Ahinten A, Erdogan S, Hapoglu H, et al. Application of fuzzy control method with genetic algorithm to a polymeriza- tion reactor at constant set point[J]. Chemical Engineering Research and Design, 2006, 84(11) : 1012-1018.

引证文献3

二级引证文献2

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